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<article article-type="review-article" dtd-version="1.0" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ACC</journal-id>
<journal-title-group>
<journal-title>Acute and Critical Care</journal-title><abbrev-journal-title>Acute Crit Care</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">2586-6052</issn>
<issn pub-type="epub">2586-6060</issn>
<publisher>
<publisher-name>Korean Society of Critical Care Medicine</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.4266/acc.2023.00689</article-id>
<article-id pub-id-type="publisher-id">acc-2023-00689</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review Article</subject>
<subj-group subj-group-type="heading">
<subject>Ethics</subject></subj-group></subj-group></article-categories>
<title-group>
<article-title>Impact of institutional case volume on intensive care unit mortality</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-3974-9046</contrib-id>
<name><surname>Kang</surname><given-names>Christine</given-names></name>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-8952-6049</contrib-id>
<name><surname>Ryu</surname><given-names>Ho Geol</given-names></name>
<xref ref-type="corresp" rid="c1-acc-2023-00689"/>
</contrib>
<aff id="af1-acc-2023-00689">
Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-acc-2023-00689">Corresponding author: Ho Geol Ryu Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea Tel: +82-2-2072-2065 Fax: +82-2-747-8362 Email: <email>hogeol@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>5</month>
<year>2023</year></pub-date>
<pub-date pub-type="epub">
<day>31</day>
<month>5</month>
<year>2023</year></pub-date>
<volume>38</volume>
<issue>2</issue>
<fpage>151</fpage>
<lpage>159</lpage>
<history>
<date date-type="received">
<day>12</day>
<month>05</month>
<year>2023</year></date>
<date date-type="rev-recd">
<day>24</day>
<month>05</month>
<year>2023</year></date>
<date date-type="accepted">
<day>24</day>
<month>05</month>
<year>2023</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 The Korean Society of Critical Care Medicine</copyright-statement>
<copyright-year>2023</copyright-year>
<license>
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract><p>The primary aim of this review is to explore current knowledge on the relationship between institutional intensive care unit (ICU) patient volume and patient outcomes. Studies indicate that a higher institutional ICU patient volume is positively correlated with patient survival. Although the exact mechanism underlying this association remains unclear, several studies have proposed that the cumulative experience of physicians and selective referral between institutions may play a role. The overall ICU mortality rate in Korea is relatively high compared to other developed countries. A distinctive aspect of critical care in Korea is the existence of significant disparities in the quality of care and services provided across regions and hospitals. Addressing these disparities and optimizing the management of critically ill patients necessitates thoroughly trained intensivists who are well-versed in the latest clinical practice guidelines. A fully functioning unit with adequate patient throughput is also essential for maintaining consistent and reliable quality of patient care. However, the positive impact of ICU volume on mortality outcomes is also linked to complex organizational factors, such as multidisciplinary rounds, nurse staffing and education, the presence of a clinical pharmacist, care protocols for weaning and sedation, and a culture of teamwork and communication. Despite some inconsistencies in the association between ICU patient volume and patient outcomes, which are thought to arise from differences in healthcare systems, ICU case volume significantly affects patient outcomes and should be taken into account when formulating related healthcare policies.</p></abstract>
<kwd-group>
<kwd>institutional case volume</kwd>
<kwd>mortality</kwd>
<kwd>patient outcome</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec>
<title>INTRODUCTION</title>
<p>According to the 2021 National Health Insurance Service data, Korea has 9,174 beds in 863 intensive care units (ICUs), excluding neonatal ICUs. Approximately half of these ICU beds are located in and around the capital, Seoul. The latest report on the Improvement Study on Assessment of the Appropriateness of Intensive Care Units, commissioned by the Health Insurance Review and Assessment Service (HIRA), revealed significant disparities in the quality of care and services provided depending on the region and hospital. Several hospitals reported substandard clinical outcomes, such as ICU mortality, when compared to other hospitals in Korea and international standards &#x0005b;<xref ref-type="bibr" rid="b1-acc-2023-00689">1</xref>&#x0005d;. In 2020, HIRA reported an overall ICU mortality rate of 14.2% in Korea &#x0005b;<xref ref-type="bibr" rid="b2-acc-2023-00689">2</xref>&#x0005d;, which was higher than the 9% rate in Canada &#x0005b;<xref ref-type="bibr" rid="b3-acc-2023-00689">3</xref>&#x0005d; and the 11.3% rate in the US &#x0005b;<xref ref-type="bibr" rid="b4-acc-2023-00689">4</xref>&#x0005d;.</p>
<p>Numerous factors are associated with ICU mortality, such as age, sex, comorbidities, the utilization of mechanical ventilation, renal replacement therapy (RRT), and vasopressors. From a healthcare system perspective, ICU case volume plays a crucial role in patient outcomes, in conjunction with admission route, the degree of critical care nursing, and a multidisciplinary ICU team. Critically ill patients require specialized and intensive treatment/management, which is provided by professionals with expertise in various relevant fields. Common diagnoses in the ICU, such as sepsis, acute respiratory distress syndrome, and circulatory shock, often demand continuous patient monitoring, mechanical ventilation, continuous RRT, and even extracorporeal membrane oxygenation, sometimes all simultaneously. To optimize the management of critically ill patients, intensivists should be well-trained and familiar with the most recent clinical practice guidelines. In order to maintain a consistent and reliable quality of patient care, an efficiently functioning unit with adequate patient throughput is ideal, which can be assessed as case volume. Numerous studies have examined the impact of hospital case volume for various procedures and settings, including high-risk surgical procedures &#x0005b;<xref ref-type="bibr" rid="b5-acc-2023-00689">5</xref>&#x0005d;, emergent procedures &#x0005b;<xref ref-type="bibr" rid="b6-acc-2023-00689">6</xref>&#x0005d;, solid organ transplantation &#x0005b;<xref ref-type="bibr" rid="b7-acc-2023-00689">7</xref>,<xref ref-type="bibr" rid="b8-acc-2023-00689">8</xref>&#x0005d;, and trauma &#x0005b;<xref ref-type="bibr" rid="b9-acc-2023-00689">9</xref>&#x0005d;. These studies have consistently reported improved patient outcomes with higher institutional case volumes. The precise mechanism underlying this association remains unclear, but it is thought to result from the cumulative experience of providers and selective referral to institutions with better outcomes. Although the reasons behind the association between ICU patient volume and mortality are not fully understood, the majority of studies have reported a positive correlation between institutional ICU patient volume and patient survival.</p>
</sec>
<sec>
<title>METHODS</title>
<p>A PubMed search was conducted using the terms &quot;intensive care,&quot; &quot;critical care,&quot; &quot;case volume,&quot; &quot;outcome,&quot; and &quot;mortality&quot; to identify relevant papers on this topic up until February 13, 2023. Additionally, the reference lists of review papers and published systematic reviews were examined to ensure that no pertinent articles were missed during the electronic search.</p></sec>
<sec>
<title>THE IMPACT OF INSTITUTIONAL CASE VOLUME ON VARIOUS CRITICALLY ILL PATIENT POPULATIONS</title>
<p><xref rid="t1-acc-2023-00689" ref-type="table">Tables 1</xref><xref rid="t2-acc-2023-00689" ref-type="table"/>-<xref rid="t3-acc-2023-00689" ref-type="table">3</xref> summarized studies that evaluated the impact of ICU case volume on patient outcome in general critically ill patients (<xref rid="t1-acc-2023-00689" ref-type="table">Table 1</xref>) &#x0005b;<xref ref-type="bibr" rid="b10-acc-2023-00689">10</xref>-<xref ref-type="bibr" rid="b13-acc-2023-00689">13</xref>&#x0005d;, sepsis and septic shock patients (<xref rid="t2-acc-2023-00689" ref-type="table">Table 2</xref>) &#x0005b;<xref ref-type="bibr" rid="b14-acc-2023-00689">14</xref>-<xref ref-type="bibr" rid="b19-acc-2023-00689">19</xref>&#x0005d;, and mechanically ventilated patients (<xref rid="t3-acc-2023-00689" ref-type="table">Table 3</xref>) &#x0005b;<xref ref-type="bibr" rid="b20-acc-2023-00689">20</xref>-<xref ref-type="bibr" rid="b26-acc-2023-00689">26</xref>&#x0005d;.</p>
<sec>
<title>Critically Ill Patients in General</title>
<p>A prospective study published in 2004 analyzed 12,615 patients across 89 European ICUs over a four-month period to determine whether a correlation existed between ICU case volume and mortality. The results revealed an inverse relationship between ICU volume and in-hospital mortality (odds ratio &#x0005b;OR&#x0005d;, 0.97; 95% confidence interval &#x0005b;CI&#x0005d;, 0.95&#x02013;0.99; P&lt;0.0005), although the clinical relevance was small. A sub-analysis of patients with a Simplified Acute Physiology Score (SAPS) II higher than 32 demonstrated a stronger association between ICU case volume and in-hospital mortality (OR, 0.83; 95% CI, 0.78&#x02013;0.89; P&lt;0.0001). The study&#x00027;s most important finding was that in-hospital mortality was notably higher in ICUs with an average occupancy rate exceeding 80% than in those with occupancy rates below 80% (OR, 1.32; 95% CI, 1.13&#x02013;1.55; P&lt;0.0004) &#x0005b;<xref ref-type="bibr" rid="b10-acc-2023-00689">10</xref>&#x0005d;. The authors concluded that a high volume of high-risk patients might be a prerequisite for higher-quality care, provided that the occupancy rate remains reasonable.</p>
<p>A study of 83,259 ICU patients in 40 ICUs in Austria between 1988 and 2005 revealed that a higher patient turnover was associated with a reduced risk of in-hospital mortality (OR, 0.960; 95% CI, 0.946&#x02013;0.974; P-value, not provided). Additionally, an increased patient-to-nurse ratio (more assigned patients per nurse) was also associated with an increased risk of in-hospital mortality (OR, 1.30; 95% CI, 1.21&#x02013;1.39, P-value, not provided) &#x0005b;<xref ref-type="bibr" rid="b11-acc-2023-00689">11</xref>&#x0005d;. The authors proposed a non-linear relationship between ICU volume and mortality improvement; specifically, they suggested a U-shaped relationship, where mortality rates initially decrease as patient volume increases, but beyond a certain point (n&#x0003d;450), mortality rates begin to increase again. This implies that an excessive number of patients cared for, even in highly experienced institutions, may result in worse outcomes, offsetting the positive impact of higher case volume.</p>
<p>A retrospective cohort study of 70,757 patients admitted to ICUs in the US from 2001 to 2003 reported an overall mortality rate of 14.6%. While the impact of institutional case volume could not be determined, institutions that managed a higher number of severely critically ill patients (&gt;295 patients per year with SAPS II scores above 30) demonstrated better outcomes than centers with a lower volume of high-risk patients (OR, 0.77; P&#x0003d;0.047) &#x0005b;<xref ref-type="bibr" rid="b12-acc-2023-00689">12</xref>&#x0005d;.</p>
<p>A similar study involving 596,143 ICU patients from 2007 to 2012 reported overall ICU and hospital mortality rates of 4.8% and 9.9%, respectively. The ICU volume was categorized into high (&#x02265;748 patients per year), intermediate (497&#x02013;747 patients per year), and low (&#x02264;496 patients per year) volume groups. Both a higher ICU volume (OR, 0.77; 95% CI, 0.66&#x02013;0.89; P&#x0003d;0.001) and a higher ICU-to-hospital bed ratio (OR, 0.82; 95% CI, 0.71&#x02013;0.94; P&#x0003d;0.005) were significant factors in reducing hospital mortality. When the subgroup analysis was stratified by the ICU-to-hospital bed ratio, the volume-mortality relationship was significant only in the high ICU-to-hospital bed ratio group (high, &#x02265;2.96% vs. low, &#x02264;1.74%; OR, 0.74; 95% CI, 0.58&#x02013;0.93; P&#x0003d;0.009) &#x0005b;<xref ref-type="bibr" rid="b13-acc-2023-00689">13</xref>&#x0005d;. In this study, the group with the lowest ICU-to-hospital bed ratio exhibited the highest illness severity (patients requiring mechanical ventilation, RRT, or vasopressor use) compared to the high ratio group. Due to a shortage of ICU beds, only severely ill patients could be admitted to the ICU, which may have led to worse outcomes and minimized the overall effect of ICU volume.</p>
</sec>
<sec>
<title>Sepsis and Septic Shock Patients</title>
<p>Patients requiring intensive care for sepsis and septic shock also exhibit a similar inverse relationship between institutional ICU case volume and mortality. In 2021, a cohort study involving 273,001 sepsis patients from 231 ICUs in the UK demonstrated that ICUs with higher annual sepsis case volumes had significantly lower hospital mortality rates compared to centers with lower case volumes (OR, 0.89; 95% CI, 0.82&#x02013;0.96; P&#x0003d;0.002) &#x0005b;<xref ref-type="bibr" rid="b17-acc-2023-00689">17</xref>&#x0005d;. The study suggested an annual sepsis ICU patient case volume threshold of 215 patients per ICU per year for favorable outcomes, without specifying an upper threshold value &#x0005b;<xref ref-type="bibr" rid="b17-acc-2023-00689">17</xref>&#x0005d;. A similar relationship between ICU volume and mortality benefits has been observed in cancer patients suffering from septic shock. A 12-year (1997&#x02013;2008) retrospective cohort study, which included 3,437 septic shock patients with malignancies across 41 ICUs, revealed that high-volume units (&gt;12 patients per year, median of 614 total ICU patients per year) had a significantly lower ICU mortality rate than low-volume units (&lt;5 patients per year, median of 407 total ICU patients per year) (OR, 0.63; 95% CI, 0.46&#x02013;0.87; P&#x0003d;0.002) &#x0005b;<xref ref-type="bibr" rid="b15-acc-2023-00689">15</xref>&#x0005d;.</p>
<p>An analysis of 134,046 septic shock patients from 1,902 hospitals in China during a 1-year study in 2020 revealed that, although there was no significant difference in overall ICU mortality between septic shock volume quartiles, hospital mortality for septic shock cases was significantly reduced in the highest quartile of septic shock case volume (&#x003b2;&#x0003d;&#x02013;0.86; 95% CI, &#x02013;0.98 to &#x02013;0.74; P&lt;0.001) &#x0005b;<xref ref-type="bibr" rid="b18-acc-2023-00689">18</xref>&#x0005d;. Study participants were divided into quartiles based on their annual septic shock case volume in the ICU. The fourth quartile group had a mean ICU case volume of 1,463 &#x000b1; 2,119 per year and a septic shock volume of &gt;75 cases per year, while the first quartile group had a mean ICU volume of 414&#x000b1;1,509 per year and a septic shock volume of 1&#x02013;13 cases per year. The suggested volume threshold associated with a favorable hospital mortality rate was 40 septic shock cases per year, which differs from the previously mentioned UK results, which had a volume threshold of 215 cases per year.</p>
<p>In line with previous studies, an evaluation of 4,065 severe sepsis patients across 28 ICUs in the Netherlands demonstrated a significant association between the annual number of severe sepsis patients and risk-adjusted in-hospital mortality (OR, 0.97; 95% CI, 0.94&#x02013;0.99; P&#x0003d;0.029) &#x0005b;<xref ref-type="bibr" rid="b14-acc-2023-00689">14</xref>&#x0005d;. Although there was a positive relationship between volume and outcome, the authors argued that due to the weak correlation compared to elective surgical procedures, it may not be feasible or beneficial to plan admissions for severe sepsis or transfer patients to higher volume centers &#x0005b;<xref ref-type="bibr" rid="b14-acc-2023-00689">14</xref>&#x0005d;. A meta-analysis of 11 studies involving septic ICU patients found a significant association between a higher annual case volume and lower mortality (OR, 0.76; 95% CI, 0.65&#x02013;0.89; P&#x0003d;0.001) &#x0005b;<xref ref-type="bibr" rid="b27-acc-2023-00689">27</xref>&#x0005d;. A subsequent dose-response analysis suggested that the mortality benefit plateaus at an annual case volume of 400 cases &#x0005b;<xref ref-type="bibr" rid="b27-acc-2023-00689">27</xref>&#x0005d;.</p>
<p>The reported ICU and hospital mortality rates for patients with sepsis are 25.8% and 35.3%, respectively, with relevant independent risk factors for in-hospital mortality including the use of mechanical ventilation and RRT &#x0005b;<xref ref-type="bibr" rid="b15-acc-2023-00689">15</xref>,<xref ref-type="bibr" rid="b28-acc-2023-00689">28</xref>&#x0005d;. A study of ICUs in Finland found a similar association among 1,558 patients who underwent RRT in 23 ICUs. Patients were classified into tertiles based on the annual case volume of RRT: low (18 &#x0005b;16–22&#x0005d;), medium (28 &#x0005b;25–30&#x0005d;), and high (54 &#x0005b;56–77&#x0005d;) volume. In-hospital mortality was significantly higher in low-volume ICUs than in high-volume ICUs (OR, 2.06; 95% CI, 1.49&#x02013;2.84; P&lt;0.001) &#x0005b;<xref ref-type="bibr" rid="b29-acc-2023-00689">29</xref>&#x0005d;.</p>
<p>In the UK, a study of 33,538 adult severe sepsis patients from 2008 to 2009 was conducted, involving 170 ICUs in 170 centers. These patients were categorized into quartiles and evaluated for differences in mortality &#x0005b;<xref ref-type="bibr" rid="b16-acc-2023-00689">16</xref>&#x0005d;. The annual median volume of severe sepsis patients was 70 (59&#x02013;75) in quartile 1, 98 (95&#x02013;103) in quartile 2, 130 (121&#x02013;138) in quartile 3, and 190 (168&#x02013;206) in quartile 4. No relationship was found between the annual severe sepsis patient volume and in-hospital mortality (P&#x0003d;0.65). A more recent study in the US reported conflicting results. An analysis of 10,716 sepsis patients showed that ICU and hospital mortality was similar between centers with lower volume (136 cases of sepsis per year) and centers with high volume (3,379 cases of sepsis per year) (OR, 0.98; 95% CI, 0.46&#x02013;2.08; P&#x0003d;0.962). Centers with lower volume ICUs were less likely to utilize RRT (OR, 0.57; 95% CI, 0.44&#x02013;0.73; P&lt;0.001) &#x0005b;<xref ref-type="bibr" rid="b19-acc-2023-00689">19</xref>&#x0005d;. It can be speculated that high-volume centers are more likely to care for critically ill patients with greater disease severity.</p></sec>
<sec>
<title>Patients Requiring Mechanical Ventilation</title>
<p>During the 10 years between 2007 and 2016, 158,712 adult ICU patients who required mechanical ventilation for at least 48 hours were treated in 55 centers across Korea. These patients were divided into three groups based on the annual number of patients at each center: low volume (&lt;300), medium volume (300&#x02013;500), and high volume (&gt;500). The in-hospital mortality rates for the low-, medium-, and high-volume groups were 39.2%, 35.8%, and 32.6%, respectively (P&lt;0.01). After adjusting for covariates, the low-volume centers exhibited a significantly higher mortality rate than the high-volume centers (OR, 1.33; 95% CI, 1.30&#x02013;1.37; P&lt;0.001) &#x0005b;<xref ref-type="bibr" rid="b26-acc-2023-00689">26</xref>&#x0005d;. A similar inverse relationship between case volume and long-term mortality was observed when comparing 5-year mortality rates between low- and high-volume centers (OR, 1.26; 95% CI, 1.20&#x02013;1.31; P&lt;0.001).</p>
<p>A study analyzing 20,214 patients in medical ICUs who received mechanical ventilation between 1988 and 2010 was conducted. After adjusting for relevant risk factors, it was found that higher hospital volume (&gt;400 patients per year) was significantly associated with lower ICU and hospital mortality (OR, 0.63; 95% CI, 0.50&#x02013;0.79; P&lt;0.001 and OR, 0.66; 95% CI, 0.52&#x02013;0.83; P&lt;0.001) compared to lower hospital volume (&lt;150 patients per year). The risk-adjusted, predicted ICU and hospital mortality rates were 14.5% and 25.5%, respectively, in higher volume centers, and 21.2% and 34.2%, respectively, in lower volume centers &#x0005b;<xref ref-type="bibr" rid="b20-acc-2023-00689">20</xref>&#x0005d;. The impact of case volume on 14,440 acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients in 31 medical ICUs was assessed. ICU and hospital mortality rates were lower in higher-volume units (16.0% and 21.2%, respectively, in units with more than 47 admissions per year) compared to lower-volume units (18.3% and 22.7%, respectively, in units with fewer than 25 admissions per year), with an OR of 0.90 (95% CI, 0.75&#x02013;1.09; P-value, not provided) &#x0005b;<xref ref-type="bibr" rid="b22-acc-2023-00689">22</xref>&#x0005d;. The use of non-invasive ventilation (NIV) in AECOPD patients also varied according to case volume. Admission to higher volume units was associated with a greater likelihood of using NIV (OR, 1.17; 95% CI, 1.07&#x02013;1.28; P-value, not provided) &#x0005b;<xref ref-type="bibr" rid="b22-acc-2023-00689">22</xref>&#x0005d;. The authors suggested that the mortality benefit in higher volume units could be attributed to the increased use of NIV in these units and possibly differences in the nurse-to-bed ratio, despite the lack of data on this aspect in the study.</p>
<p>Several studies from countries with different healthcare systems have reported conflicting results. A retrospective cohort study of 208,810 mechanically ventilated patients from 136 ICUs in Australia and New Zealand demonstrated that the risk of in-hospital mortality was higher in centers with the highest volume (801&#x02013;932 patients per year) compared to centers with the lowest volume (12&#x02013;101 patients per year) (OR, 1.26; 95% CI, 1.06&#x02013;1.50; P&#x0003d;0.009) &#x0005b;<xref ref-type="bibr" rid="b21-acc-2023-00689">21</xref>&#x0005d;. In contrast, a Canadian study that included both medical and surgical patients requiring mechanical ventilation did not show a significant volume-mortality association. Instead, it found a less significant increase in mortality in the lowest-volume centers (&lt;100 cases per year) compared to the highest-volume centers (&gt; 700 cases per year) (OR, 1.13; 95% CI, 0.87&#x02013;1.47; P-value, not provided) &#x0005b;<xref ref-type="bibr" rid="b24-acc-2023-00689">24</xref>&#x0005d;.</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>Most studies on ICU patients have suggested that an increase in case volume positively impacts mortality outcomes for patients who are generally ill in the ICU, including those with sepsis, septic shock, and those requiring mechanical ventilation. Several studies have proposed a threshold volume at which the lowest mortality is achieved; however, both below and above this threshold, mortality begins to increase, demonstrating a U-shaped relationship between case volume and mortality. Interestingly, a few countries with different healthcare systems, such as the UK, Australia, and Canada, have not shown similar impacts of volume on mortality improvement.</p>
<p>Traditionally, the volume-mortality effect has been attributed to the accumulation of clinical experience and selective referral. High-volume institutions are more likely to employ experienced personnel who can readily detect patient deterioration and have access to the various resources needed to manage critically ill patients. The presence of trained intensivists and high-intensity ICU staffing has already been associated with improved mortality rates and reduced ICU and hospital lengths of stay &#x0005b;<xref ref-type="bibr" rid="b30-acc-2023-00689">30</xref>&#x0005d;. In 2015, Korea implemented a mandate requiring doctor presence and reimbursement incentives for intensivist presence in ICUs at tertiary centers. Prior to this implementation, fewer than one-third of ICUs had intensive care specialists working a 5-day week &#x0005b;<xref ref-type="bibr" rid="b31-acc-2023-00689">31</xref>&#x0005d;. However, by 2020, this number increased to 46.7% &#x0005b;<xref ref-type="bibr" rid="b2-acc-2023-00689">2</xref>&#x0005d;. A study examining the implementation of intensivists in 441 Korean ICUs found significant decreases in both ICU and 90-day mortality rates (11.7% to 6.3%, respectively, P&#x0003d;0.047; 18.6% to 10.3%, respectively, P&#x0003d;0.012) and a hazard ratio for 90-day mortality of 0.39 (95% CI, 0.23&#x02013;0.67; P&#x0003d;0.001) &#x0005b;<xref ref-type="bibr" rid="b32-acc-2023-00689">32</xref>&#x0005d;. Despite the improved mortality rates following the implementation of intensivist-led teams, the proportion of ICUs with full-time intensivists remains significantly lower than international standards. A 2011 study of ICUs in Asia found that 66% of the 150 ICUs surveyed had 24-hour intensivist coverage &#x0005b;<xref ref-type="bibr" rid="b33-acc-2023-00689">33</xref>&#x0005d;, while only 26.9% of Korean ICUs in 2020 were fully staffed by intensivists &#x0005b;<xref ref-type="bibr" rid="b2-acc-2023-00689">2</xref>&#x0005d;. As a result, discrepancies in clinical outcomes by region and hospital persist in Korea. Depending on hospital volume, tertiary, general, and primary hospitals in Korea have demonstrated 5-year mortality rates for mechanically ventilated patients of 37%, 55%, and 82%, respectively. Hospitals with the presence of intensivists or those located in the capital tend to exhibit lower mortality rates &#x0005b;<xref ref-type="bibr" rid="b2-acc-2023-00689">2</xref>&#x0005d;.</p>
<p>Selective referral is a phenomenon where patients are more likely to be referred to high-volume centers, particularly for complex surgical procedures, pediatric surgery, and trauma. However, it has been suggested that more complex organizational factors may be associated with improved outcomes in critically ill patients. Factors such as multidisciplinary rounds, ICU nurse staffing and education, the presence of a clinical pharmacist, protocols for weaning and sedation, and a culture of teamwork and communication may all contribute to enhancing ICU patient outcomes &#x0005b;<xref ref-type="bibr" rid="b34-acc-2023-00689">34</xref>,<xref ref-type="bibr" rid="b35-acc-2023-00689">35</xref>&#x0005d;. Clinical pharmacists can offer valuable consultation in developing plans for drug dosing and monitoring, as well as assisting in medication reconciliation upon patient discharge &#x0005b;<xref ref-type="bibr" rid="b36-acc-2023-00689">36</xref>-<xref ref-type="bibr" rid="b38-acc-2023-00689">38</xref>&#x0005d;. In a database review of 199,082 Medicare patients treated in 961 hospitals with vancomycin and aminoglycosides, hospitals where pharmacists monitored the use of these drugs demonstrated lower mortality rates, shorter lengths of stay, and fewer adverse events &#x0005b;<xref ref-type="bibr" rid="b39-acc-2023-00689">39</xref>&#x0005d;.</p>
<p>The design of Korea&#x00027;s healthcare system does not provide adequate reimbursements for managing critically ill patients. When comparing results from different healthcare systems, caution should be exercised, as the impact of relevant factors may be biased or obscured. One prime example is ICU case volume, as the suggested cut-off may differ between densely populated regions or countries (such as Korea) and sparsely populated countries (such as Australia). Measures proven to improve patient outcomes, such as dedicated intensivists, higher nurse-to-patient ratios, and multidisciplinary care teams that include nutritionists, pharmacists, and physical therapists, are often overlooked. The discrepancy in the results of the Australian/New Zealand data &#x0005b;<xref ref-type="bibr" rid="b21-acc-2023-00689">21</xref>&#x0005d; from previous studies of volume-mortality association may stem from differences in health system jurisdictions, which was also identified in results from countries in similar situations, such as Canada &#x0005b;<xref ref-type="bibr" rid="b24-acc-2023-00689">24</xref>&#x0005d; and the UK &#x0005b;<xref ref-type="bibr" rid="b25-acc-2023-00689">25</xref>&#x0005d;. The authors of the 2021 UK study suggest that the unique nature of the US healthcare system, which has complex funding sources compared to the publicly funded healthcare systems of Canada, Finland, or the UK, may contribute to disparities in access to care and thereby lead to weak or nonexistent associations between sepsis patient volume and clinical outcomes &#x0005b;<xref ref-type="bibr" rid="b17-acc-2023-00689">17</xref>&#x0005d;. Private-sector US hospitals are primarily funded through fee-for-service and prospective payment charges, which are reimbursed by private insurance companies, Medicare, state Medicaid programs, and other government funds. This contrasts with Canada and other countries that have publicly funded single-payer healthcare insurance. After adjusting for clustering and the procedure or condition studied, the relative odds of Canada showing a significant volume-outcome association compared to the US were substantially low (OR, 0.23; 95% CI, 0.07&#x02013;0.76; P&#x0003d;0.01) &#x0005b;<xref ref-type="bibr" rid="b40-acc-2023-00689">40</xref>&#x0005d;.</p>
<p>The observed center volume effect on specific types of surgeries and patient populations, which demonstrates improved patient mortality, has prompted discussions about whether these procedures should be limited to high-volume centers with favorable outcomes &#x0005b;<xref ref-type="bibr" rid="b41-acc-2023-00689">41</xref>,<xref ref-type="bibr" rid="b42-acc-2023-00689">42</xref>&#x0005d;. The significant volume effect on mortality in solid organ transplantation and trauma centers has led to policy changes requiring minimum case volumes for center accreditation. In some countries, an enhanced patient referral system that clusters low- and high-volume centers in close proximity is already being implemented &#x0005b;<xref ref-type="bibr" rid="b16-acc-2023-00689">16</xref>&#x0005d;. However, it remains debatable whether a similar volume effect exists in critically ill patients, as volume effects have shown inconsistent results. A possible explanation for this inconsistency may be that institutions with higher patient volumes are more likely to adopt newly accredited best practices. For example, the previously mentioned study regarding ICU-admitted AECOPD patients &#x0005b;<xref ref-type="bibr" rid="b22-acc-2023-00689">22</xref>&#x0005d; showed that units with higher volumes were more likely to implement NIV, which was associated with improved survival rates. When institutions with higher volumes demonstrate better outcomes by implementing new evidence-based practices, it becomes more likely that these practices will be adopted across all hospitals, leading to an attenuation of the volume and outcome association &#x0005b;<xref ref-type="bibr" rid="b20-acc-2023-00689">20</xref>,<xref ref-type="bibr" rid="b43-acc-2023-00689">43</xref>&#x0005d;.</p>
<p>There is considerable diversity among patients admitted to the ICU. The current inconsistencies in the relationship between ICU case volume and outcomes necessitate a multi-layered study focusing on ICU patients with specific diagnoses. Another aspect that warrants a thorough analysis is the intensivist-to-patient ratio. A recent US study on intensivist-to-patient ratios examined the outcomes of 51,656 patients under the care of 246 intensivists. The average caseload was 11.8 patients per day, with no evident association between the intensivist-to-patient ratio and mortality (hazard ratio for each additional patient: 0.987; 95% CI, 0.97&#x02013;1.01; P&#x0003d;0.2) &#x0005b;<xref ref-type="bibr" rid="b44-acc-2023-00689">44</xref>&#x0005d;. In Korea, the average caseload per intensivist was 44.7 patients per day in 2014, which steadily decreased to 22.2 patients per day in 2021 &#x0005b;<xref ref-type="bibr" rid="b1-acc-2023-00689">1</xref>&#x0005d;. Further prospective studies are needed to assess the impact of the intensivist-to-patient ratio.</p>
<p>In conclusion, despite a few inconsistencies, a higher ICU case volume has been demonstrated to positively impact mortality rates. Given the significant effect on patient outcomes, institutional ICU case volume should be taken into account when developing healthcare policies related to this area.</p>
</sec>
<sec>
<title>HIGHLIGHTS</title>
<boxed-text position="float" orientation="portrait">
<p>&#x025aa; Higher intensive care unit case volume is associated with improved patient mortality.</p>
<p>&#x025aa; Healthcare system policies should take into account the impact of case volume on the outcomes of critically ill patients.</p>
</boxed-text>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="conflict"><p><bold>CONFLICT OF INTEREST</bold></p><p>No potential conflict of interest relevant to this article was reported.</p></fn>
<fn fn-type="other"><p><bold>FUNDING</bold></p>
<p>None.</p></fn>
<fn fn-type="participating-researchers"><p><bold>AUTHOR CONTRIBUTIONS</bold></p>
<p>Conceptualization: HGR. Data curation: CK. Methodology: HGR. Validation: HGR. Investigation: CK. Writing–original draft: all authors. Writing–review &amp; editing: all authors.</p></fn>
</fn-group>
<ack><p>None.</p></ack>
<ref-list>
<title>REFERENCES</title>
<ref id="b1-acc-2023-00689">
<label>1</label>
<element-citation publication-type="web">
<comment>Kim YS, Kwak SH, Kim JY, Won SH, Lee MS, Lee BR, et al. Improvement study of assessment of the appropriateness of intensive care unit [Internet]. Health Insurance Review and Assessment Service; 2021 [cited 2023 May 25]. Available from: <ext-link ext-link-type="uri" xlink:href="https://repository.hira.or.kr/handle/2019.oak/3022">https://repository.hira.or.kr/handle/2019.oak/3022</ext-link></comment>
</element-citation></ref>
<ref id="b2-acc-2023-00689">
<label>2</label>
<element-citation publication-type="web">
<comment>Health Insurance Review and Assessment Service (HIRA). 2019 The third assessment of the appropriateness of intensive care unit [Internet]. HIRA; 2020 [cited 2023 May 25]. Available from: <ext-link ext-link-type="uri" xlink:href="https://www.hira.or.kr/cms/open/04/04/12/2020_12.pdf">https://www.hira.or.kr/cms/open/04/04/12/2020_12.pdf</ext-link></comment>
</element-citation></ref>
<ref id="b3-acc-2023-00689">
<label>3</label>
<element-citation publication-type="web">
<comment>CIHI. Care in Canadian ICUs: data tables [Internet]. CIHI; 2016 [cited 2023 May 25]. Available at: <ext-link ext-link-type="uri" xlink:href="https://www.cihi.ca/en/care-in-canadian-icus-data-tables">https://www.cihi.ca/en/care-in-canadian-icus-data-tables</ext-link></comment>
</element-citation></ref>
<ref id="b4-acc-2023-00689">
<label>4</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zimmerman</surname><given-names>JE</given-names></name>
<name><surname>Kramer</surname><given-names>AA</given-names></name>
<name><surname>Knaus</surname><given-names>WA</given-names></name>
</person-group>
<article-title>Changes in hospital mortality for United States intensive care unit admissions from 1988 to 2012</article-title>
<source>Crit Care</source>
<year>2013</year>
<volume>17</volume>
<fpage>R81</fpage>
</element-citation></ref>
<ref id="b5-acc-2023-00689">
<label>5</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Finks</surname><given-names>JF</given-names></name>
<name><surname>Osborne</surname><given-names>NH</given-names></name>
<name><surname>Birkmeyer</surname><given-names>JD</given-names></name>
</person-group>
<article-title>Trends in hospital volume and operative mortality for high-risk surgery</article-title>
<source>N Engl J Med</source>
<year>2011</year>
<volume>364</volume>
<fpage>2128</fpage>
<lpage>37</lpage>
</element-citation></ref>
<ref id="b6-acc-2023-00689">
<label>6</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Becher</surname><given-names>RD</given-names></name>
<name><surname>DeWane</surname><given-names>MP</given-names></name>
<name><surname>Sukumar</surname><given-names>N</given-names></name>
<name><surname>Stolar</surname><given-names>MJ</given-names></name>
<name><surname>Gill</surname><given-names>TM</given-names></name>
<name><surname>Becher</surname><given-names>RM</given-names></name>
<etal/>
</person-group>
<article-title>Hospital operative volume as a quality indicator for general surgery operations performed emergently in geriatric patients</article-title>
<source>J Am Coll Surg</source>
<year>2019</year>
<volume>228</volume>
<fpage>910</fpage>
<lpage>23</lpage>
</element-citation></ref>
<ref id="b7-acc-2023-00689">
<label>7</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Delman</surname><given-names>AM</given-names></name>
<name><surname>Turner</surname><given-names>KM</given-names></name>
<name><surname>Ammann</surname><given-names>AM</given-names></name>
<name><surname>Schepers</surname><given-names>E</given-names></name>
<name><surname>Vaysburg</surname><given-names>DM</given-names></name>
<name><surname>Cortez</surname><given-names>AR</given-names></name>
<etal/>
</person-group>
<article-title>The volume-outcomes relationship in donation after circulatory death liver transplantation</article-title>
<source>Clin Transplant</source>
<year>2022</year>
<volume>36</volume>
<fpage>e14658</fpage>
</element-citation></ref>
<ref id="b8-acc-2023-00689">
<label>8</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Cheng</surname><given-names>CW</given-names></name>
<name><surname>Liu</surname><given-names>FC</given-names></name>
<name><surname>Lin</surname><given-names>JR</given-names></name>
<name><surname>Tsai</surname><given-names>YF</given-names></name>
<name><surname>Chen</surname><given-names>HP</given-names></name>
<name><surname>Yu</surname><given-names>HP</given-names></name>
</person-group>
<article-title>The impact of hospital/surgeon volume on acute renal failure and mortality in liver transplantation: a nationwide cohort study</article-title>
<source>PLoS One</source>
<year>2016</year>
<volume>11</volume>
<fpage>e0162992</fpage>
</element-citation></ref>
<ref id="b9-acc-2023-00689">
<label>9</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Bell</surname><given-names>TM</given-names></name>
<name><surname>Boustany</surname><given-names>KC</given-names></name>
<name><surname>Jenkins</surname><given-names>PC</given-names></name>
<name><surname>Zarzaur</surname><given-names>BL</given-names></name>
</person-group>
<article-title>The relationship between trauma center volume and in-hospital outcomes</article-title>
<source>J Surg Res</source>
<year>2015</year>
<volume>196</volume>
<fpage>350</fpage>
<lpage>7</lpage>
</element-citation></ref>
<ref id="b10-acc-2023-00689">
<label>10</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lapichino</surname><given-names>G</given-names></name>
<name><surname>Gattinoni</surname><given-names>L</given-names></name>
<name><surname>Radrizzani</surname><given-names>D</given-names></name>
<name><surname>Simini</surname><given-names>B</given-names></name>
<name><surname>Bertolini</surname><given-names>G</given-names></name>
<name><surname>Ferla</surname><given-names>L</given-names></name>
<etal/>
</person-group>
<article-title>Volume of activity and occupancy rate in intensive care units. Association with mortality</article-title>
<source>Intensive Care Med</source>
<year>2004</year>
<volume>30</volume>
<fpage>290</fpage>
<lpage>7</lpage>
</element-citation></ref>
<ref id="b11-acc-2023-00689">
<label>11</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Metnitz</surname><given-names>B</given-names></name>
<name><surname>Metnitz</surname><given-names>PG</given-names></name>
<name><surname>Bauer</surname><given-names>P</given-names></name>
<name><surname>Valentin</surname><given-names>A</given-names></name>
<name><surname>ASDI Study</surname><given-names>Group</given-names></name>
</person-group>
<article-title>Patient volume affects outcome in critically ill patients</article-title>
<source>Wien Klin Wochenschr</source>
<year>2009</year>
<volume>121</volume>
<fpage>34</fpage>
<lpage>40</lpage>
</element-citation></ref>
<ref id="b12-acc-2023-00689">
<label>12</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Glance</surname><given-names>LG</given-names></name>
<name><surname>Li</surname><given-names>Y</given-names></name>
<name><surname>Osler</surname><given-names>TM</given-names></name>
<name><surname>Dick</surname><given-names>A</given-names></name>
<name><surname>Mukamel</surname><given-names>DB</given-names></name>
</person-group>
<article-title>Impact of patient volume on the mortality rate of adult intensive care unit patients</article-title>
<source>Crit Care Med</source>
<year>2006</year>
<volume>34</volume>
<fpage>1925</fpage>
<lpage>34</lpage>
</element-citation></ref>
<ref id="b13-acc-2023-00689">
<label>13</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sasabuchi</surname><given-names>Y</given-names></name>
<name><surname>Yasunaga</surname><given-names>H</given-names></name>
<name><surname>Matsui</surname><given-names>H</given-names></name>
<name><surname>Lefor</surname><given-names>AK</given-names></name>
<name><surname>Horiguchi</surname><given-names>H</given-names></name>
<name><surname>Fushimi</surname><given-names>K</given-names></name>
<etal/>
</person-group>
<article-title>The volume-outcome relationship in critically ill patients in relation to the ICU-to-hospital bed ratio</article-title>
<source>Crit Care Med</source>
<year>2015</year>
<volume>43</volume>
<fpage>1239</fpage>
<lpage>45</lpage>
</element-citation></ref>
<ref id="b14-acc-2023-00689">
<label>14</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Peelen</surname><given-names>L</given-names></name>
<name><surname>de Keizer</surname><given-names>NF</given-names></name>
<name><surname>Peek</surname><given-names>N</given-names></name>
<name><surname>Scheffer</surname><given-names>GJ</given-names></name>
<name><surname>van der Voort</surname><given-names>PH</given-names></name>
<name><surname>de Jonge</surname><given-names>E</given-names></name>
</person-group>
<article-title>The influence of volume and intensive care unit organization on hospital mortality in patients admitted with severe sepsis: a retrospective multicentre cohort study</article-title>
<source>Crit Care</source>
<year>2007</year>
<volume>11</volume>
<fpage>R40</fpage>
</element-citation></ref>
<ref id="b15-acc-2023-00689">
<label>15</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zuber</surname><given-names>B</given-names></name>
<name><surname>Tran</surname><given-names>TC</given-names></name>
<name><surname>Aegerter</surname><given-names>P</given-names></name>
<name><surname>Grimaldi</surname><given-names>D</given-names></name>
<name><surname>Charpentier</surname><given-names>J</given-names></name>
<name><surname>Guidet</surname><given-names>B</given-names></name>
<etal/>
</person-group>
<article-title>Impact of case volume on survival of septic shock in patients with malignancies</article-title>
<source>Crit Care Med</source>
<year>2012</year>
<volume>40</volume>
<fpage>55</fpage>
<lpage>62</lpage>
</element-citation></ref>
<ref id="b16-acc-2023-00689">
<label>16</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Shahin</surname><given-names>J</given-names></name>
<name><surname>Harrison</surname><given-names>DA</given-names></name>
<name><surname>Rowan</surname><given-names>KM</given-names></name>
</person-group>
<article-title>Relation between volume and outcome for patients with severe sepsis in United Kingdom: retrospective cohort study</article-title>
<source>BMJ</source>
<year>2012</year>
<volume>344</volume>
<fpage>e3394</fpage>
</element-citation></ref>
<ref id="b17-acc-2023-00689">
<label>17</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Maharaj</surname><given-names>R</given-names></name>
<name><surname>McGuire</surname><given-names>A</given-names></name>
<name><surname>Street</surname><given-names>A</given-names></name>
</person-group>
<article-title>Association of annual intensive care unit sepsis caseload with hospital mortality from sepsis in the United Kingdom, 2010-2016</article-title>
<source>JAMA Netw Open</source>
<year>2021</year>
<volume>4</volume>
<fpage>e2115305</fpage>
</element-citation></ref>
<ref id="b18-acc-2023-00689">
<label>18</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Chen</surname><given-names>Y</given-names></name>
<name><surname>Ma</surname><given-names>XD</given-names></name>
<name><surname>Kang</surname><given-names>XH</given-names></name>
<name><surname>Gao</surname><given-names>SF</given-names></name>
<name><surname>Peng</surname><given-names>JM</given-names></name>
<name><surname>Li</surname><given-names>S</given-names></name>
<etal/>
</person-group>
<article-title>Association of annual hospital septic shock case volume and hospital mortality</article-title>
<source>Crit Care</source>
<year>2022</year>
<volume>26</volume>
<fpage>161</fpage>
</element-citation></ref>
<ref id="b19-acc-2023-00689">
<label>19</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Naar</surname><given-names>L</given-names></name>
<name><surname>Hechi</surname><given-names>MW</given-names></name>
<name><surname>Gallastegi</surname><given-names>AD</given-names></name>
<name><surname>Renne</surname><given-names>BC</given-names></name>
<name><surname>Fawley</surname><given-names>J</given-names></name>
<name><surname>Parks</surname><given-names>JJ</given-names></name>
<etal/>
</person-group>
<article-title>Intensive care unit volume of sepsis patients does not affect mortality: results of a nationwide retrospective analysis</article-title>
<source>J Intensive Care Med</source>
<year>2022</year>
<volume>37</volume>
<fpage>728</fpage>
<lpage>35</lpage>
</element-citation></ref>
<ref id="b20-acc-2023-00689">
<label>20</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kahn</surname><given-names>JM</given-names></name>
<name><surname>Goss</surname><given-names>CH</given-names></name>
<name><surname>Heagerty</surname><given-names>PJ</given-names></name>
<name><surname>Kramer</surname><given-names>AA</given-names></name>
<name><surname>O&#x00027;Brien</surname><given-names>CR</given-names></name>
<name><surname>Rubenfeld</surname><given-names>GD</given-names></name>
</person-group>
<article-title>Hospital volume and the outcomes of mechanical ventilation</article-title>
<source>N Engl J Med</source>
<year>2006</year>
<volume>355</volume>
<fpage>41</fpage>
<lpage>50</lpage>
</element-citation></ref>
<ref id="b21-acc-2023-00689">
<label>21</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Moran</surname><given-names>JL</given-names></name>
<name><surname>Solomon</surname><given-names>PJ</given-names></name>
<collab>ANZICS Centre for Outcome and Resource Evaluation of the Australian and New Zealand Intensive Care Society</collab>
</person-group>
<article-title>Mortality and intensive care volume in ventilated patients from 1995 to 2009 in the Australian and New Zealand binational adult patient intensive care database</article-title>
<source>Crit Care Med</source>
<year>2012</year>
<volume>40</volume>
<fpage>800</fpage>
<lpage>12</lpage>
</element-citation></ref>
<ref id="b22-acc-2023-00689">
<label>22</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dres</surname><given-names>M</given-names></name>
<name><surname>Tran</surname><given-names>TC</given-names></name>
<name><surname>Aegerter</surname><given-names>P</given-names></name>
<name><surname>Rabbat</surname><given-names>A</given-names></name>
<name><surname>Guidet</surname><given-names>B</given-names></name>
<name><surname>Huchon</surname><given-names>G</given-names></name>
<etal/>
</person-group>
<article-title>Influence of ICU case-volume on the management and hospital outcomes of acute exacerbations of chronic obstructive pulmonary disease</article-title>
<source>Crit Care Med</source>
<year>2013</year>
<volume>41</volume>
<fpage>1884</fpage>
<lpage>92</lpage>
</element-citation></ref>
<ref id="b23-acc-2023-00689">
<label>23</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dres</surname><given-names>M</given-names></name>
<name><surname>Austin</surname><given-names>PC</given-names></name>
<name><surname>Pham</surname><given-names>T</given-names></name>
<name><surname>Aegerter</surname><given-names>P</given-names></name>
<name><surname>Guidet</surname><given-names>B</given-names></name>
<name><surname>Demoule</surname><given-names>A</given-names></name>
<etal/>
</person-group>
<article-title>Acute respiratory distress syndrome cases volume and ICU mortality in medical patients</article-title>
<source>Crit Care Med</source>
<year>2018</year>
<volume>46</volume>
<fpage>e33</fpage>
<lpage>40</lpage>
</element-citation></ref>
<ref id="b24-acc-2023-00689">
<label>24</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Needham</surname><given-names>DM</given-names></name>
<name><surname>Bronskill</surname><given-names>SE</given-names></name>
<name><surname>Rothwell</surname><given-names>DM</given-names></name>
<name><surname>Sibbald</surname><given-names>WJ</given-names></name>
<name><surname>Pronovost</surname><given-names>PJ</given-names></name>
<name><surname>Laupacis</surname><given-names>A</given-names></name>
<etal/>
</person-group>
<article-title>Hospital volume and mortality for mechanical ventilation of medical and surgical patients: a population-based analysis using administrative data</article-title>
<source>Crit Care Med</source>
<year>2006</year>
<volume>34</volume>
<fpage>2349</fpage>
<lpage>54</lpage>
</element-citation></ref>
<ref id="b25-acc-2023-00689">
<label>25</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gopal</surname><given-names>S</given-names></name>
<name><surname>O&#x00027;Brien</surname><given-names>R</given-names></name>
<name><surname>Pooni</surname><given-names>J</given-names></name>
</person-group>
<article-title>The relationship between hospital volume and mortality following mechanical ventilation in the Intensive Care Unit</article-title>
<source>Minerva Anestesiol</source>
<year>2011</year>
<volume>77</volume>
<fpage>26</fpage>
<lpage>32</lpage>
</element-citation></ref>
<ref id="b26-acc-2023-00689">
<label>26</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lee</surname><given-names>H</given-names></name>
<name><surname>Choi</surname><given-names>S</given-names></name>
<name><surname>Jang</surname><given-names>EJ</given-names></name>
<name><surname>Lee</surname><given-names>J</given-names></name>
<name><surname>Kim</surname><given-names>D</given-names></name>
<name><surname>Yoo</surname><given-names>S</given-names></name>
<etal/>
</person-group>
<article-title>Effect of institutional case volume on in-hospital and long-term mortality in critically ill patients requiring mechanical ventilation for 48 hours or more</article-title>
<source>J Korean Med Sci</source>
<year>2019</year>
<volume>34</volume>
<fpage>e212</fpage>
</element-citation></ref>
<ref id="b27-acc-2023-00689">
<label>27</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gu</surname><given-names>WJ</given-names></name>
<name><surname>Wu</surname><given-names>XD</given-names></name>
<name><surname>Zhou</surname><given-names>Q</given-names></name>
<name><surname>Zhang</surname><given-names>J</given-names></name>
<name><surname>Wang</surname><given-names>F</given-names></name>
<name><surname>Ma</surname><given-names>ZL</given-names></name>
<etal/>
</person-group>
<article-title>Relationship between annualized case volume and mortality in sepsis: a dose-response meta-analysis</article-title>
<source>Anesthesiology</source>
<year>2016</year>
<volume>125</volume>
<fpage>168</fpage>
<lpage>79</lpage>
</element-citation></ref>
<ref id="b28-acc-2023-00689">
<label>28</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sakr</surname><given-names>Y</given-names></name>
<name><surname>Jaschinski</surname><given-names>U</given-names></name>
<name><surname>Wittebole</surname><given-names>X</given-names></name>
<name><surname>Szakmany</surname><given-names>T</given-names></name>
<name><surname>Lipman</surname><given-names>J</given-names></name>
<name><surname>&#x000d1;amendys-Silva</surname><given-names>SA</given-names></name>
<etal/>
</person-group>
<article-title>Sepsis in intensive care unit patients: worldwide data from the intensive care over nations audit</article-title>
<source>Open Forum Infect Dis</source>
<year>2018</year>
<volume>5</volume>
<fpage>ofy313</fpage>
</element-citation></ref>
<ref id="b29-acc-2023-00689">
<label>29</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Vaara</surname><given-names>ST</given-names></name>
<name><surname>Reinikainen</surname><given-names>M</given-names></name>
<name><surname>Kaukonen</surname><given-names>KM</given-names></name>
<name><surname>Pettil&#x000e4;</surname><given-names>V</given-names></name>
<name><surname>Finnish Intensive Care</surname><given-names>Consortium</given-names></name>
</person-group>
<article-title>Association of ICU size and annual case volume of renal replacement therapy patients with mortality</article-title>
<source>Acta Anaesthesiol Scand</source>
<year>2012</year>
<volume>56</volume>
<fpage>1175</fpage>
<lpage>82</lpage>
</element-citation></ref>
<ref id="b30-acc-2023-00689">
<label>30</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Pronovost</surname><given-names>PJ</given-names></name>
<name><surname>Angus</surname><given-names>DC</given-names></name>
<name><surname>Dorman</surname><given-names>T</given-names></name>
<name><surname>Robinson</surname><given-names>KA</given-names></name>
<name><surname>Dremsizov</surname><given-names>TT</given-names></name>
<name><surname>Young</surname><given-names>TL</given-names></name>
</person-group>
<article-title>Physician staffing patterns and clinical outcomes in critically ill patients: a systematic review</article-title>
<source>JAMA</source>
<year>2002</year>
<volume>288</volume>
<fpage>2151</fpage>
<lpage>62</lpage>
</element-citation></ref>
<ref id="b31-acc-2023-00689">
<label>31</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lim</surname><given-names>CM</given-names></name>
<name><surname>Kwak</surname><given-names>SH</given-names></name>
<name><surname>Suh</surname><given-names>GY</given-names></name>
<name><surname>Koh</surname><given-names>Y</given-names></name>
</person-group>
<article-title>Critical care In Korea: present and future</article-title>
<source>J Korean Med Sci</source>
<year>2015</year>
<volume>30</volume>
<fpage>1540</fpage>
<lpage>4</lpage>
</element-citation></ref>
<ref id="b32-acc-2023-00689">
<label>32</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Park</surname><given-names>CM</given-names></name>
<name><surname>Chun</surname><given-names>HK</given-names></name>
<name><surname>Lee</surname><given-names>DS</given-names></name>
<name><surname>Jeon</surname><given-names>K</given-names></name>
<name><surname>Suh</surname><given-names>GY</given-names></name>
<name><surname>Jeong</surname><given-names>JC</given-names></name>
</person-group>
<article-title>Impact of a surgical intensivist on the clinical outcomes of patients admitted to a surgical intensive care unit</article-title>
<source>Ann Surg Treat Res</source>
<year>2014</year>
<volume>86</volume>
<fpage>319</fpage>
<lpage>24</lpage>
</element-citation></ref>
<ref id="b33-acc-2023-00689">
<label>33</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Phua</surname><given-names>J</given-names></name>
<name><surname>Koh</surname><given-names>Y</given-names></name>
<name><surname>Du</surname><given-names>B</given-names></name>
<name><surname>Tang</surname><given-names>YQ</given-names></name>
<name><surname>Divatia</surname><given-names>JV</given-names></name>
<name><surname>Tan</surname><given-names>CC</given-names></name>
<etal/>
</person-group>
<article-title>Management of severe sepsis in patients admitted to Asian intensive care units: prospective cohort study</article-title>
<source>BMJ</source>
<year>2011</year>
<volume>342</volume>
<fpage>d3245</fpage>
</element-citation></ref>
<ref id="b34-acc-2023-00689">
<label>34</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kahn</surname><given-names>JM</given-names></name>
</person-group>
<article-title>Volume, outcome, and the organization of intensive care</article-title>
<source>Crit Care</source>
<year>2007</year>
<volume>11</volume>
<fpage>129</fpage>
</element-citation></ref>
<ref id="b35-acc-2023-00689">
<label>35</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Carmel</surname><given-names>S</given-names></name>
<name><surname>Rowan</surname><given-names>K</given-names></name>
</person-group>
<article-title>Variation in intensive care unit outcomes: a search for the evidence on organizational factors</article-title>
<source>Curr Opin Crit Care</source>
<year>2001</year>
<volume>7</volume>
<fpage>284</fpage>
<lpage>96</lpage>
</element-citation></ref>
<ref id="b36-acc-2023-00689">
<label>36</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Papadopoulos</surname><given-names>J</given-names></name>
<name><surname>Rebuck</surname><given-names>JA</given-names></name>
<name><surname>Lober</surname><given-names>C</given-names></name>
<name><surname>Pass</surname><given-names>SE</given-names></name>
<name><surname>Seidl</surname><given-names>EC</given-names></name>
<name><surname>Shah</surname><given-names>RA</given-names></name>
<etal/>
</person-group>
<article-title>The critical care pharmacist: an essential intensive care practitioner</article-title>
<source>Pharmacotherapy</source>
<year>2002</year>
<volume>22</volume>
<fpage>1484</fpage>
<lpage>8</lpage>
</element-citation></ref>
<ref id="b37-acc-2023-00689">
<label>37</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Preslaski</surname><given-names>CR</given-names></name>
<name><surname>Lat</surname><given-names>I</given-names></name>
<name><surname>MacLaren</surname><given-names>R</given-names></name>
<name><surname>Poston</surname><given-names>J</given-names></name>
</person-group>
<article-title>Pharmacist contributions as members of the multidisciplinary ICU team</article-title>
<source>Chest</source>
<year>2013</year>
<volume>144</volume>
<fpage>1687</fpage>
<lpage>95</lpage>
</element-citation></ref>
<ref id="b38-acc-2023-00689">
<label>38</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ervin</surname><given-names>JN</given-names></name>
<name><surname>Kahn</surname><given-names>JM</given-names></name>
<name><surname>Cohen</surname><given-names>TR</given-names></name>
<name><surname>Weingart</surname><given-names>LR</given-names></name>
</person-group>
<article-title>Teamwork in the intensive care unit</article-title>
<source>Am Psychol</source>
<year>2018</year>
<volume>73</volume>
<fpage>468</fpage>
<lpage>77</lpage>
</element-citation></ref>
<ref id="b39-acc-2023-00689">
<label>39</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Bond</surname><given-names>CA</given-names></name>
<name><surname>Raehl</surname><given-names>CL</given-names></name>
</person-group>
<article-title>Clinical and economic outcomes of pharmacist-managed aminoglycoside or vancomycin therapy</article-title>
<source>Am J Health Syst Pharm</source>
<year>2005</year>
<volume>62</volume>
<fpage>1596</fpage>
<lpage>605</lpage>
</element-citation></ref>
<ref id="b40-acc-2023-00689">
<label>40</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Urbach</surname><given-names>DR</given-names></name>
<name><surname>Croxford</surname><given-names>R</given-names></name>
<name><surname>MacCallum</surname><given-names>NL</given-names></name>
<name><surname>Stukel</surname><given-names>TA</given-names></name>
</person-group>
<article-title>How are volume-outcome associations related to models of health care funding and delivery? A comparison of the United States and Canada</article-title>
<source>World J Surg</source>
<year>2005</year>
<volume>29</volume>
<fpage>1230</fpage>
<lpage>3</lpage>
</element-citation></ref>
<ref id="b41-acc-2023-00689">
<label>41</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kanhere</surname><given-names>MH</given-names></name>
<name><surname>Kanhere</surname><given-names>HA</given-names></name>
<name><surname>Cameron</surname><given-names>A</given-names></name>
<name><surname>Maddern</surname><given-names>GJ</given-names></name>
</person-group>
<article-title>Does patient volume affect clinical outcomes in adult intensive care units?</article-title>
<source>Intensive Care Med</source>
<year>2012</year>
<volume>38</volume>
<fpage>741</fpage>
<lpage>51</lpage>
</element-citation></ref>
<ref id="b42-acc-2023-00689">
<label>42</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kang</surname><given-names>C</given-names></name>
<name><surname>Ryu</surname><given-names>HG</given-names></name>
</person-group>
<article-title>Impact of institutional case volume of solid organ transplantation on patient outcomes and implications for healthcare policy in Korea</article-title>
<source>Korean J Transplant</source>
<year>2023</year>
<volume>37</volume>
<fpage>1</fpage>
<lpage>10</lpage>
</element-citation></ref>
<ref id="b43-acc-2023-00689">
<label>43</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Parry</surname><given-names>G</given-names></name>
<name><surname>Tucker</surname><given-names>J</given-names></name>
<name><surname>Tarnow-Mordi</surname><given-names>W</given-names></name>
</person-group>
<article-title>Volume of procedures and outcome of treatment. NHS needs to understand relation more effectively</article-title>
<source>BMJ</source>
<year>2003</year>
<volume>326</volume>
<fpage>280</fpage>
</element-citation></ref>
<ref id="b44-acc-2023-00689">
<label>44</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kahn</surname><given-names>JM</given-names></name>
<name><surname>Yabes</surname><given-names>JG</given-names></name>
<name><surname>Bukowski</surname><given-names>LA</given-names></name>
<name><surname>Davis</surname><given-names>BS</given-names></name>
</person-group>
<article-title>Intensivist physician-to-patient ratios and mortality in the intensive care unit</article-title>
<source>Intensive Care Med</source>
<year>2023</year>
<volume>49</volume>
<fpage>545</fpage>
<lpage>53</lpage>
</element-citation></ref>
</ref-list>
<sec sec-type="display-objects">
<title>Tables</title>
<table-wrap id="t1-acc-2023-00689" position="float">
<label>Table 1.</label>
<caption><p>The impact of ICU volume on critically ill patients in general</p></caption>
<table rules="groups" frame="hsides">
<thead>
<tr>
<th valign="top">Study </th>
<th valign="top" align="center">Published year</th>
<th valign="top" align="center">No. of patients</th>
<th valign="top" align="center">No. of centers and ICUs</th>
<th valign="top" align="center">Outcome</th>
<th valign="top" align="center">Volume category (case/year)</th>
<th valign="top" align="center">Suggested cut-off threshold</th>
<th valign="top" align="center">Impact of case volume</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top">Lapichino et al. [<xref ref-type="bibr" rid="b10-acc-2023-00689">10</xref>]</td>
<td valign="top" align="left">2004</td>
<td valign="top" align="left">12,615</td>
<td valign="top" align="left">Not reported, 89 ICUs</td>
<td valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Significant</td>
</tr>
<tr>
<td rowspan="2" valign="top">Metnitz et al. [<xref ref-type="bibr" rid="b11-acc-2023-00689">11</xref>]</td>
<td rowspan="2" valign="top" align="left">2009</td>
<td rowspan="2" valign="top" align="left">83,259</td>
<td valign="top" align="left">Not reported, 40 ICUs</td>
<td rowspan="2" valign="top" align="left">In-hospital mortality</td>
<td rowspan="2" valign="top" align="left">Not categorized</td>
<td rowspan="2" valign="top" align="left">420 Patients per year</td>
<td rowspan="2" valign="top" align="left">Significant</td>
</tr>
<tr>
<td rowspan="4" valign="top">Glance et al. [<xref ref-type="bibr" rid="b12-acc-2023-00689">12</xref>]</td>
<td rowspan="4" valign="top" align="left">2006</td>
<td rowspan="4" valign="top" align="left">70,757</td>
<td rowspan="4" valign="top" align="left">76 Centers, 92 ICUs</td>
<td rowspan="4" valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="left">Low, &lt;134</td>
<td rowspan="4" valign="top" align="left">None</td>
<td rowspan="4" valign="top" align="left">Significant (for high risk patients)</td>
</tr>
<tr>
<td valign="top" align="left">Medium, 134&#x02013;216</td>
</tr>
<tr>
<td valign="top" align="left">High, 217&#x02013;295</td>
</tr>
<tr>
<td valign="top" align="left">Very high, &gt;295</td>
</tr>
<tr>
<td rowspan="3" valign="top">Sasabuchi et al. [<xref ref-type="bibr" rid="b13-acc-2023-00689">13</xref>]</td>
<td rowspan="3" valign="top" align="left">2015</td>
<td rowspan="3" valign="top" align="left">596,143</td>
<td rowspan="3" valign="top" align="left">&gt;1,000 Centers, not reported</td>
<td rowspan="3" valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="left">Low, &lt; 497</td>
<td rowspan="3" valign="top" align="left">None</td>
<td rowspan="3" valign="top" align="left">Significant (12.3% vs. 7.5% )</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate, 497&#x02013;748</td>
</tr>
<tr>
<td valign="top" align="left">High, &gt;747</td>
</tr>
</tbody>
</table>

<table-wrap-foot>
<fn id="tfn1-acc-2023-00689"><p>ICU: intensive care unit.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t2-acc-2023-00689" position="float">
<label>Table 2.</label>
<caption><p>Impact of ICU volume on patients with sepsis and septic shock</p></caption>
<table rules="groups" frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Published year</th>
<th valign="top" align="center">No. of patients</th>
<th valign="top" align="center">No. of centers and ICUs</th>
<th valign="top" align="center">Outcome</th>
<th valign="top" align="center">Volume category (case/year)</th>
<th valign="top" align="center">Suggested cut-off threshold</th>
<th valign="top" align="center">Impact of case volume</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Peelen et al. [<xref ref-type="bibr" rid="b14-acc-2023-00689">14</xref>]</td>
<td valign="top" align="center">2007</td>
<td valign="top" align="center">4,605</td>
<td valign="top" align="left">Not reported, 28 ICUs</td>
<td valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="left">Not specified</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Significant</td>
</tr>
<tr>
<td valign="top" align="left">Zuber et al. [<xref ref-type="bibr" rid="b15-acc-2023-00689">15</xref>]</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">3,437</td>
<td valign="top" align="left">Not reported, 41 ICUs</td>
<td valign="top" align="left">ICU and hospital mortality</td>
<td valign="top" align="left">Low, &lt;5</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Significant (ICU mortality, 64.9% vs. 57.6%)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Medium, 5&#x02013;12</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">High, &gt;12</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Shahin et al. [<xref ref-type="bibr" rid="b16-acc-2023-00689">16</xref>]</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">30,727</td>
<td valign="top" align="left">170 Centers, 170 ICUs</td>
<td valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="left">Q1, 59&#x02013;75</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Insignificant (42.7% in Q1 vs. 39.0% in Q4)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q2, 95&#x02013;103</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q3, 121&#x02013;138</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q4, 168&#x02013;206</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Maharaj et al. [<xref ref-type="bibr" rid="b17-acc-2023-00689">17</xref>]</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">273,001</td>
<td valign="top" align="left">Not reported, 231 ICUs</td>
<td valign="top" align="left">ICU and hospital mortality</td>
<td valign="top" align="left">Q1, 12&#x02013;177</td>
<td valign="top" align="left">215 Patients per year</td>
<td valign="top" align="left">Significant (ICU mortality, 23.4% in Q1 vs. 21.5% in Q4)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q2, 178&#x02013;242</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q3, 243&#x02013;334</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q4, 335&#x02013;744</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. [<xref ref-type="bibr" rid="b18-acc-2023-00689">18</xref>]</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">134,046</td>
<td valign="top" align="left">1,902 Centers, not reported</td>
<td valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="left">Q1, 1&#x02013;13</td>
<td valign="top" align="left">40 patients per year</td>
<td valign="top" align="left">Significant (24% in Q1 vs. 18% in Q4)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q2, 14&#x02013;32</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q3, 33&#x02013;75</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q4, &gt;75</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Naar et al. [<xref ref-type="bibr" rid="b19-acc-2023-00689">19</xref>]</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">10,716</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">ICU mortality</td>
<td valign="top" align="left">(Total volume)</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Insignificant</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">High, 6,758</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Medium high, 2,608</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Medium low, 1,078</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Low, 272</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-acc-2023-00689"><p>ICU: intensive care unit; Q: quartile.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t3-acc-2023-00689" position="float">
<label>Table 3.</label>
<caption><p>Impact of ICU volume on mechanically ventilated patients</p></caption>
<table rules="groups" frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Published year</th>
<th valign="top" align="center">No. of patients</th>
<th valign="top" align="center">No. of centers and ICUs</th>
<th valign="top" align="center">Outcome</th>
<th valign="top" align="center">Volume category (case/year)</th>
<th valign="top" align="center">Suggested cut-off threshold</th>
<th valign="top" align="center">Impact of case volume</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Kahn et al. [<xref ref-type="bibr" rid="b20-acc-2023-00689">20</xref>]</td>
<td valign="top" align="center">2006</td>
<td valign="top" align="center">20,241</td>
<td valign="top" align="left">37 Centers, 104 ICUs</td>
<td valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="left">Q1, 87&#x02013;150</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Significant (33% in Q1 vs. 37% in Q4, P&lt;0.001)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q2, 151&#x02013;275</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q3, 276&#x02013;400</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Q5, 401&#x02013;617</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Moran et al. [<xref ref-type="bibr" rid="b21-acc-2023-00689">21</xref>]</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">208,810</td>
<td valign="top" align="left">136 Centers, 136 ICUs</td>
<td valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="left">(In decile)</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Insignificant</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Lowest, 12&#x02013;101</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Highest, 801&#x02013;932</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Dres et al. [<xref ref-type="bibr" rid="b22-acc-2023-00689">22</xref>]</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">14,440</td>
<td valign="top" align="left">Not reported, 31 ICUs</td>
<td valign="top" align="left">ICU and in-hospital mortality</td>
<td valign="top" align="left">Low, &lt;26</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Significant (ICU mortality, 18.3% vs. 16.0%)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Medium, 26&#x02013;47</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">High, &gt;47</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Dres et al. [<xref ref-type="bibr" rid="b23-acc-2023-00689">23</xref>]</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">8,383</td>
<td valign="top" align="left">22 Centers, 31 ICUs</td>
<td valign="top" align="left">ICU mortality</td>
<td valign="top" align="left">Low, &lt;30</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Insignificant</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Medium, 30&#x02013;64</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">High, &gt;65</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Needham et al. [<xref ref-type="bibr" rid="b24-acc-2023-00689">24</xref>]</td>
<td valign="top" align="center">2006</td>
<td valign="top" align="center">20,219</td>
<td valign="top" align="left">126 Centers, not reported</td>
<td valign="top" align="left">30-Day mortality</td>
<td valign="top" align="left">(5 Categories) </td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Insignificant</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">&lt;100, 100&#x02013;199, 200-299, 300&#x02013;699, &gt;700</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">Gopal et al. [<xref ref-type="bibr" rid="b25-acc-2023-00689">25</xref>]</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">17,132</td>
<td valign="top" align="left">Not specified</td>
<td valign="top" align="left">ICU mortality</td>
<td valign="top" align="left">Not specified</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Insignificant</td>
</tr>
<tr>
<td valign="top" align="left">Lee et al. [<xref ref-type="bibr" rid="b26-acc-2023-00689">26</xref>]</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">158,712</td>
<td valign="top" align="left">55 Centers, not reported</td>
<td valign="top" align="left">In-hospital, 1, 2, 5-year mortality</td>
<td valign="top" align="left">Low, &lt;300</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Significant (in-hospital mortality, 39.2% vs. 32.6%)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Medium, 300&#x02013;500</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">High, &gt;500</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-acc-2023-00689"><p>ICU: intensive care unit; Q: quartile.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back></article>
