Journal List > J Korean Med Sci > v.38(23) > 1516082940

Choi, Park, Choi, Son, and Cho: Incidence and Mortality Trends in Critically Ill Children: A Korean Population-Based Study

Abstract

Background

Monitoring mortality trends can help design ways to improve survival, but observation of national mortality trends in critically ill children is lacking for the Korean population

Methods

We analyzed the incidence and mortality trends of children younger than 18 years admitted to an intensive care unit (ICU) from 2012 to 2018 using the Korean National Health Insurance database. Neonates and neonatal ICU admissions were excluded. Multivariable logistic regression analyses were performed to estimate the odds ratio of in-hospital mortality according to admission year. Trends in incidence and in-hospital mortality of subgroups according to admission department, age, presence of intensivists, admissions to pediatric ICU, mechanical ventilation, and use of vasopressors were evaluated.

Results

The overall mortality of critically ill children was 4.4%. There was a significant decrease in mortality from 5.5% in 2012 to 4.1% in 2018 (P for trend < 0.001). The incidence of ICU admission in children remained around 8.5/10,000 population years (P for trend = 0.069). In-hospital mortality decreased by 9.2% yearly in adjusted analysis (P < 0.001). The presence of dedicated intensivists (P for trend < 0.001, mortality decrease from 5.7% to 4.0%) and admission to pediatric ICU (P for trend < 0.001, mortality decrease from 5.0% to 3.2%) were associated with significant decreasing trends in mortality.

Conclusion

Mortality among critically ill children improved during the study period, and the improving trend was prominent in children with high treatment requirements. Varying mortality trends, according to ICU organizations, highlight that advances in medical knowledge should be supported structurally.

Graphical Abstract

jkms-38-e178-abf001.jpg

INTRODUCTION

Mortality of critically ill patients has been decreasing in adults and children.1234567 The relative decrease in in-hospital mortality was 35% among adult patients admitted to US intensive care units (ICUs) from 1988 to 2012 and was 20% in New Zealand from 1993 to 2003.12 Multiple reports suggest an approximately 50% decrease in in-hospital mortality among critically ill children in the US and Netherlands in the past 20 years.45 The cause of reduction in mortality is suspected to be multifactorial.4 Along with advances in critical care, including centralization and a dedicated transport system, changes in admission criteria to allow less severe cases in ICUs and changes in end-of-life care to support dying at home rather than in hospitals could all have contributed to the mortality reduction.891011 By monitoring the mortality trends among critically ill children, we can identify key areas of medical practice in need of change and possible areas for improvement.
While mortality trends among adult Korean ICU patients have been reported, there is a paucity of Korean studies regarding mortality trends among critically ill children.12 There have been several changes in the medical environment in Korea. Since 2014, tertiary hospitals have been obligated to have dedicated intensivists in ICUs.13 In 2015, reimbursement codes for pediatric intensive care units (PICUs) have been established. Resident duty hour regulation has been fully implemented in 2017.14 Previous studies focused on mortality covered a relatively short period and did not evaluate trends.151617 Furthermore, studies relying on data from national databases are lacking for Asian children.18
Therefore, we conducted a retrospective cohort study based on the national health insurance database of Korea to evaluate the in-hospital mortality trends among critically ill children.

METHODS

Study population and design

We conducted this population-based, retrospective study based on the Health Insurance Review and Assessment (HIRA) from the Korean Ministry of Health. The HIRA database is composed of reimbursement claims from the Korean National Health Insurance (KNHI) and Medical Aid Program. The KNHI covers 97% of Koreans, and the remaining 3% who cannot afford KNHI are covered by the Medical Aid Program. Therefore, the HIRA database covers all procedures and prescriptions from the Korean population.
Among all pediatric admissions between January 2012 and December 2018 (seven years), admissions of pediatric patients from age 0–18 to ICUs were screened. Neonatal admissions (< 1-month-old) were excluded due to ambiguity in personal identification before birth registration, and neonatal ICU admissions were excluded because Korean neonatal ICUs have a unique organizational structure.

Measurements

The primary outcomes were incidence and mortality trends of pediatric admissions in ICUs. An ICU admission was defined as the presence of at least one ICU admission code during overall hospital admission (AJ001–AJ590). In-hospital mortality was coded in the HIRA admission database.
Demographic characteristics, hospital information, and procedure data were obtained from the KNHI claim database. International Classification of Disease 10th Revision (ICD-10) defines primary diagnosis as a condition with the highest medical resources for diagnosis or treatment during admission.19 Because the KNHI database encodes primary diagnosis under the International Classification of Disease (ICD-10) codes, we defined the primary diagnosis using the ICD-10 as in the previous studies.1720 Use of mechanical ventilation (M5850-M5860), extracorporeal membrane oxygenation (ECMO) (O1901-O1904), and continuous renal replacement therapy (CRRT) (O7001-O7004) were defined by the presence of KNHI procedure codes. Use of vasopressor drugs (dobutamine, dopamine, epinephrine, and norepinephrine) was determined using Korean Drug and Anatomical Therapeutic Chemical codes.
In Korea, critically ill children can be admitted to PICUs or other ICUs, depending on bed availability. Also, not all ICUs are staffed with dedicated intensivists. PICU hospitals were defined as those that report PICU admission codes (AJ004, AJ005, AJ008, AJ009, AJ043, AJ044, AJ045, and AJ046), which differentiate PICU admissions from other ICU admissions within each hospital. Similarly, intensivists were defined according to the presence of codes for dedicated intensivists regardless of pediatric intensivists or intensivists for adult patients (AJ003, AJ005, AJ007, AJ009, and AJ043-AJ046) within each hospital.

Statistical analysis

Continuous and categorical variables are presented as median with interquartile range and number with percentage, respectively. The χ2 test was used for comparing categorical variables of in-hospital mortality. We used univariable and multivariable logistic regression analyses to estimate the odds ratios (ORs) of factors associated with in-hospital mortality of admitted critically ill children. In multivariable regression analysis, we adjusted for age; sex; year of admission; primary diagnosis; department (medical versus surgical); admission path (outpatient clinic versus emergency room); presence of PICU; presence of dedicated intensivists; region (capital versus metropolitan versus rural); and use of mechanical ventilation, ECMO, CRRT, and vasopressors. The P for trend was calculated to evaluate trends in incidence and in-hospital mortality of critically ill children using the Cochrane-Armitage test. A P value < 0.05 was considered significant for all analyses, performed using SAS Visual Analytics (The SAS Institute, Cary, NC, USA).

Ethics statement

The study was reviewed by the Institutional Review Board (IRB) of Samsung Medical Center (IRB protocol 2022-06-103), and informed consent was not required because only previously collected, de-identified administrative data were used.

RESULTS

Among 7,192,359 pediatric admissions among children ages 0–18 years during the study period, 266,157 with ICU stay were selected. After excluding 211,314 neonates and neonatal ICU admissions, 54,843 pediatric admissions with ICU stay were selected (Fig. 1). Due to a decreasing fertility rate, the pediatric population decreased from 9,921,012 in 2012 to 8,176,335 in 2018. However, the number of critically ill children remained around 8.5/10,000 population during the study period (P for trend = 0.069) (Fig. 2).
Fig. 1

Flowchart of patient selection.

ICU = intensive care unit, NICU = neonatal intensive care unit.
jkms-38-e178-g001
Fig. 2

Trends in pediatric population and ICU admission.

ICU = intensive care unit.
jkms-38-e178-g002
The median age of children admitted to ICUs was 3.0 years. The most common primary diagnosis was congenital anomaly (31.9%, 17,497 admissions), followed by injury (12.0%, 6,585 admissions), and malignancy (10.2%, 5,575 admissions). Admissions at hospitals with PICUs represented 57.3% (31,415 admissions) of cases, and admissions at intensivist-supported hospitals represented 88.0% (48,276 admissions) (Table 1).
Table 1

Characteristics of pediatric patients admitted to intensive care unit (N = 54,843)

jkms-38-e178-i001
Characteristics Values
Age, yr 3.0 (0.9–12.0)
Sex, male 31,295 (57.1)
Primary diagnosis
Congenital anomaly 17,497 (31.9)
Injury 6,585 (12.0)
Malignancy 5,575 (10.2)
Neurologic 5,494 (10.0)
Respiratory 5,355 (9.8)
Circulatory 4,770 (8.7)
Infectious 1,170 (2.1)
Perinatal 825 (1.5)
Hematologic 517 (0.9)
Others 7,055 (12.9)
Department
Medical 25,972 (47.4)
Surgical 28,871 (52.6)
Hospital admission type
Emergency 25,847 (47.1)
Outpatient 28,996 (52.9)
Admissions to PICUs
Yes 31,415 (57.3)
No 23,428 (42.7)
ICU with dedicated Intensivists
Yes 48,276 (88.0)
No 6,567 (12.0)
Region
Capital 27,138 (49.5)
Metropolitan 10,413 (19.0)
Rural 17,292 (31.5)
Mechanical ventilation 28,655 (61.1)
ECMO 656 (1.2)
CRRT 2,051 (3.7)
Vasopressor 28,608 (52.2)
Values are presented as number of patients (%) or median (interquartile range).
PICU = pediatric intensive care unit, ICU = intensive care unit, ECMO = extracorporeal membrane oxygenation, CRRT = continuous renal replacement therapy.
The overall mortality rate was 4.4% (2,396/54,843 admissions). Pediatric ICU admissions via an emergency center (6.1% vs. 2.8%, P < 0.001), admissions in older groups (3.8% in < 1 year, 4.5% in 1–12 years, and 5.0% in ≥ 13 years, P < 0.001), medical department of admission (6.8% vs. 2.2%, P < 0.001), and non-PICU hospitals (5.2% vs. 3.7%, P < 0.001) were associated with higher mortality (Table 2).
Table 2

Incidence and mortality according to the characteristics

jkms-38-e178-i002
Variables No. of admissions Mortality (%) P value
Overall 54,843 2,396 (4.4%)
Sex 0.793
Male 31,295 1,361 (4.4%)
Female 23,548 1,035 (4.4%)
Age < 0.001***
≥ 0 and < 1 yr 18,363 691 (3.8%)
1–12 yr 24,128 1,094 (4.5%)
≥ 13 yr 12,352 611 (5.0%)
Department < 0.001***
Medical 25,972 1,752 (6.8%)
Surgical 28,871 644 (2.2%)
Admission path < 0.001***
Emergency 25,847 1,583 (6.1%)
Outpatient 28,996 813 (2.8%)
Admissions to PICUs < 0.001***
Yes 31,415 1,176 (3.7%)
No 23,428 1,220 (5.2%)
ICU with dedicated intensivists 0.124
Yes 48,276 2,133 (4.4%)
No 6,567 263 (4.0%)
Region < 0.001***
Capital 27,138 1,047 (3.9%)
Metropolitan 10,413 587 (5.6%)
Rural 17,292 762 (4.4%)
Mechanical ventilation < 0.001***
Yes 28,655 2,248 (7.9%)
No 26,188 148 (0.6%)
ECMO < 0.001***
Yes 656 285 (43.5%)
No 54,187 2,111 (3.9%)
CRRT < 0.001***
Yes 2,051 586 (28.6%)
No 52,792 1,810 (3.4%)
Vasopressor < 0.001***
Yes 28,608 2,299 (8.0%)
No 26,235 97 (0.4%)
PICU = pediatric intensive care unit, ICU = intensive care unit, ECMO = extracorporeal membrane oxygenation, CRRT = continuous renal replacement therapy.
***P < 0.001.
Adjusted logistic regression analysis revealed that admission into the medical department (unadjusted OR, 2.262; P < 0.001 and adjusted OR, 2.918; P < 0.001), admission through the emergency room (unadjusted OR, 2.262; P < 0.001 and adjusted OR, 1.556; P < 0.001), admission to a non-PICU (unadjusted OR, 1.434; P < 0.001 and adjusted OR, 1.962; P < 0.001), and absence of dedicated intensivists (unadjusted OR, 0.903; P = 0.124 and adjusted OR, 1.346; P < 0.001) were associated with higher ORs of mortality. An estimated annual reduction in the OR of mortality was 4.6% (P < 0.001) in the unadjusted model and 11.3% in the adjusted model (P < 0.001) (Table 3).
Table 3

Logistic regression analysis for the mortality risk

jkms-38-e178-i003
Parameters Univariable Multivariable
OR 95% CI P value OR 95% CI P value
Year of admission 0.954 0.935, 0.974 < 0.001 0.908 0.887, 0.930 < 0.001***
Model was adjusted for age, gender, primary diagnosis (congenital anomalies, injury, respiratory disease, neoplasms, neurologic disease, circulatory disease, not elsewhere classified, gastrointestinal disease and infectious disease), and treatment requirements (mechanical ventilation, extracorporeal membrane oxygenation, continuous renal replacement therapy, and vasopressor), department (medical, surgical), hospitals with pediatric intensive care units, intensive care units with dedicated intensivists.
OR = odds ratio, CI = confidence interval.
***P < 0.001.
Mortality of critically ill children significantly decreased during the study period, from 5.5% in 2012 to 4.1% in 2018 (P for trend < 0.001). Such a decreasing trend in mortality was observed regardless of admission to a surgical or medical department (P for trend < 0.001 in medical department and P for trend < 0.001 in surgical department) and whether admissions were to a PICU or non-PICU (P for trend < 0.001 in PICU and P for trend = 0.047 in non-PICU). In contrast, a decrease in mortality was significant only in patients younger than 13 years (P for trend = 0.009 in infants and P for trend < 0.001 in 1–12-year-olds) and for admissions to intensivist-supported hospitals (P for trend < 0.001). The mortality trend was not significant in patients older than 13 years (P for trend = 0.731) or with admission to non-intensivist-supported hospitals (P for trend = 0.380). The mortality decrease in non-PICUs (from 6.0% in 2012 to 5.4% in 2018, P for trend < 0.001) was less prominent than in PICUs (from 5.0% in 2012 to 3.2% in 2018, P for trend = 0.047) (Fig. 3, Supplementary Table 1). The decreasing mortality trend was significant among congenital anomalies (P for trend = 0.004), respiratory (P for trend = 0.005) or neurologic (P for trend = 0.003) disease, and malignancy (P for trend = 0.021) (Supplementary Table 2).
Fig. 3

Trend of pediatric mortality of critically ill children in subgroups. Mortality trend in (A) overall, medical, and surgical group, (B) each age group, (C) hospitals with or without dedicated intensivists, (D) hospitals with or without PICUs, (E) admissions with or without mechanical ventilation, and (F) admissions with or without use of vasopressor.

PICU = pediatric intensive care unit, MV = mechanical ventilation.
*Indicates P for trend < 0.05.
jkms-38-e178-g003

DISCUSSION

In this retrospective pediatric population-based study, we showed a decreasing trend in ICU mortality without a changing trend in admission incidence. ICU mortality decreased prominently in severe patients requiring mechanical ventilation or vasopressor as well as in patients admitted to hospitals having a PICU or any ICU managed by intensivists.
Incidence of ICU admission among children in our study was moderate compared with those of previous reports.2122 A study from Australia reported that pediatric ICU admission excluding NICU was 15.1/1,000 hospital admissions, which is higher than our study (7.6/1,000 hospital admissions).21 An epidemiologic study of the United States from 2010–2015 found 2.73–2.84 ICU admissions/1,000 children, including NICU admissions.22 Because these countries have differing medical environments regarding admission criteria, medical facilities, and insurance policies, direct comparisons are not practical. However, the stable incidence of ICU admissions among children in our study suggested a persistent need for pediatric critical care despite a decrease in the pediatric population.
In-hospital mortality of 4.4% among pediatric ICU admissions was comparable to that of a previous study from the United States that reported 4.8% in-hospital mortality from 2005 to 2006.6 The most recently reported in-hospital mortality rate in the United States was 2.8% in 2015, indicating improvement since 2006.5 In-hospital mortality of pediatric ICU patients varies widely from 2.8–12.9% among countries depending on patient characteristics, medical resource availability, and medical practice regarding end-of-life care.56716212324 In this study, there were differences in mortality rates by region (3.9% to 5.6%). We suspect that patient severity or organizational structure, such as bed-to-burse ratio, might affect ICU outcomes.25 Although the mortality rate varied according to study population (medical vs. surgical, tertiary vs. general hospital), our current national study results were similar to those of the United States 15 years ago.
In-hospital mortality decreased by approximately 25% during the study period, from 5.5% in 2012 to 4.1% in 2018, comparable to previous studies in both pediatric and adult populations.1234567 Multiple factors could have contributed to the mortality reduction. A previous study suggested that medical and technological advances, dedicated inter-hospital transport teams, and centralization to tertiary PICUs could improve outcomes for critically ill children.7 In addition to advances in certain pediatric critical care areas, changes in admission criteria and end-of-life care could also affect mortality.46 More permissive admission criteria would more patients admitted with moderate issue severity and lower mortality.
The reduction in mortality was partly explained by a significant decreasing trend in mortality among patients with congenital anomaly or respiratory disease (Supplementary Table 2). Our observation was similar to that of a previous study contributing the decreasing mortality among congenital heart disease patients to the decreasing overall mortality trend.6 In contrast, a mortality decrease was not evident among critically ill children with injury (Supplementary Table 2), which could explain the lack of improvement in mortality among critically ill children older than 13 years. Previous studies have reported higher injury incidence as children age and higher mortality among traumatic ICU admissions among children.1726
Subgroups admitted to PICUs and ICUs with dedicated intensivists showed significantly decreasing trends in mortality in our study. While general ICU admission also showed decreasing mortality trends, the reduction in mortality (from 6.0% to 5.4%, 10% reduction) was smaller compared with that of PICU admission (from 5.0% to 3.2%, 36% reduction). Additionally, ICUs without intensivists did not show decreasing trends in mortality during the study period. Our results were consistent with previous studies that found a benefit of PICUs for critically ill children.272829 A national multicenter cohort study in Finland demonstrated that admission of children to non-PICUs was associated with higher OR of mortality than admission to PICUs even after adjusting for diagnostic group and severity.29 Also, evidence exists in both adult and pediatric populations that the presence of intensivists is associated with improved patient outcomes, including survival.303132 In the only observational study of a pediatric population, Pollack et al.32 found that intensivist-led teams in a PICU improved survival compared to that in a hospital without a PICU. Our study further shows that the reduction in mortality was more prominent if PICUs or intensivists were present. These results suggest that advances in critical care could be better connected to improvements in mortality if appropriate organizational structures are present. Much progress has been made in the field of critical care to improve mortality, including the low tidal volume in managing acute respiratory distress syndrome, shock protocols of surviving sepsis campaign, and application of A to F bundles.333435 Dedicated medical personnel and specialized facilities are required for application of those progress in critical care.
A strength of this study is the inclusion of all hospital data in Korea, which decreased the risk of selection bias. Additionally, a large sample size of critically ill children allowed statistical subgroup analyses of mortality. However, there were also some limitations. First, clinical severity indices were unavailable due to lack of clinical data in the HIRA database. However, information regarding use of mechanical ventilation, CRRT, ECMO, and vasopressors were described. Second, causes and modes of death were not elucidated. Primary diagnosis might not have matched the cause of death. Further studies are necessary to evaluate cause of death to improve end-of-life care for critically ill children.
In conclusion, mortality in critically ill children improved during the study period, and the improving trends were prominent in children with severe disease. Varying mortality trends according to ICU organization highlight that advances in medical knowledge should be supported structurally.

Notes

Disclosure: The authors have no potential conflicts of interests to disclose.

Author Contributions:

  • Conceptualization: Choi J, Park E, Choi AY, Son MH, Cho J.

  • Data curation: Choi J, Park E.

  • Formal analysis: Choi J.

  • Investigation: Choi AY, Son MH.

  • Methodology: Choi AY, Son MH.

  • Resources: Cho J.

  • Supervision: Cho J.

  • Visualization: Choi J.

  • Writing - original draft: Choi J, Park E.

  • Writing - review & editing: Choi AY, Son MH, Cho J.

References

1. Zimmerman JE, Kramer AA, Knaus WA. Changes in hospital mortality for United States intensive care unit admissions from 1988 to 2012. Crit Care. 2013; 17(2):R81. PMID: 23622086.
crossref
2. Moran JL, Bristow P, Solomon PJ, George C, Hart GK. Australian and New Zealand Intensive Care Society Database Management Committee (ADMC). Mortality and length-of-stay outcomes, 1993-2003, in the binational Australian and New Zealand intensive care adult patient database. Crit Care Med. 2008; 36(1):46–61. PMID: 18090383.
crossref
3. Sands R, Manning JC, Vyas H, Rashid A. Characteristics of deaths in paediatric intensive care: a 10-year study. Nurs Crit Care. 2009; 14(5):235–240. PMID: 19706074.
crossref
4. Burns JP, Sellers DE, Meyer EC, Lewis-Newby M, Truog RD. Epidemiology of death in the PICU at five U.S. teaching hospitals. Crit Care Med. 2014; 42(9):2101–2108. PMID: 24979486.
crossref
5. Gupta P, Gossett J, Rao Rettiganti M. 60: Trends in mortality rates in pediatric intensive care units in the United States from 2004 to 2015. Crit Care Med. 2018; 46(1):30.
crossref
6. Namachivayam P, Shann F, Shekerdemian L, Taylor A, van Sloten I, Delzoppo C, et al. Three decades of pediatric intensive care: Who was admitted, what happened in intensive care, and what happened afterward. Pediatr Crit Care Med. 2010; 11(5):549–555. PMID: 20124947.
crossref
7. Hannegård Hamrin T, Eksborg S. Risks for death after admission to pediatric intensive care (PICU)-a comparison with the general population. PLoS One. 2022; 17(10):e0265792. PMID: 36206205.
crossref
8. Feudtner C, Silveira MJ, Christakis DA. Where do children with complex chronic conditions die? Patterns in Washington State, 1980-1998. Pediatrics. 2002; 109(4):656–660. PMID: 11927711.
crossref
9. Tilford JM, Roberson PK, Lensing S, Fiser DH. Differences in pediatric ICU mortality risk over time. Crit Care Med. 1998; 26(10):1737–1743. PMID: 9781733.
crossref
10. Gemke RJ. Centralisation of paediatric intensive care to improve outcome. Lancet. 1997; 349(9060):1187–1188. PMID: 9130935.
crossref
11. Ramnarayan P, Thiru K, Parslow RC, Harrison DA, Draper ES, Rowan KM. Effect of specialist retrieval teams on outcomes in children admitted to paediatric intensive care units in England and Wales: a retrospective cohort study. Lancet. 2010; 376(9742):698–704. PMID: 20708255.
crossref
12. Kim DY, Lee MH, Lee SY, Yang BR, Kim HA. Survival rates following medical intensive care unit admission from 2003 to 2013: an observational study based on a representative population-based sample cohort of Korean patients. Medicine (Baltimore). 2019; 98(37):e17090. PMID: 31517831.
13. Lee JW, Youn SW, Shin YS, Park SI, Kim DC, Koh Y. Major obstacles to implement a full-time intensivist in Korean adult ICUs: a questionnaire survey. Korean J Crit Care Med. 2016; 31(2):111–117.
crossref
14. Han ER, Chung EK. The perception of medical residents and faculty members on resident duty hour regulation. Korean J Med Educ. 2020; 32(1):67–72. PMID: 32130852.
crossref
15. Jung JH, Sol IS, Kim MJ, Kim YH, Kim KW, Sohn MH. Validation of pediatric index of mortality 3 for predicting mortality among patients admitted to a pediatric intensive care unit. Acute Crit Care. 2018; 33(3):170–177. PMID: 31723881.
crossref
16. Lee OJ, Jung M, Kim M, Yang HK, Cho J. Validation of the pediatric index of mortality 3 in a single pediatric intensive care unit in Korea. J Korean Med Sci. 2017; 32(2):365–370. PMID: 28049251.
crossref
17. Jung M, Park H, Kang D, Park J, Jeon K, Chung CR, et al. Age-specific distribution of diagnosis and outcomes of children admitted to ICUs: a population-based cohort study. Pediatr Crit Care Med. 2019; 20(7):e301–e310. PMID: 31162369.
18. Shime N, Kawasaki T, Saito O, Akamine Y, Toda Y, Takeuchi M, et al. Incidence and risk factors for mortality in paediatric severe sepsis: results from the national paediatric intensive care registry in Japan. Intensive Care Med. 2012; 38(7):1191–1197. PMID: 22527068.
crossref
19. Quan H, Moskal L, Forster AJ, Brien S, Walker R, Romano PS, et al. International variation in the definition of ‘main condition’ in ICD-coded health data. Int J Qual Health Care. 2014; 26(5):511–515. PMID: 24990594.
crossref
20. Choi J, Choi AY, Park E, Moon S, Son MH, Cho J. Trends in incidences and survival rates in pediatric in-hospital cardiopulmonary resuscitation: a Korean population-based study. J Am Heart Assoc. 2023; 12(3):e028171. PMID: 36695322.
crossref
21. Ibiebele I, Algert CS, Bowen JR, Roberts CL. Pediatric admissions that include intensive care: a population-based study. BMC Health Serv Res. 2018; 18(1):264. PMID: 29631570.
crossref
22. Killien E, Hartman M, Watson RS. O055/#336: Epidemiology of intensive care admissions in children in the United States, 2010 and 2015. Pediatr Crit Care Med. 2021; 22(Supplement 1 3S):34.
crossref
23. Siddiqui NU, Ashraf Z, Jurair H, Haque A. Mortality patterns among critically ill children in a pediatric intensive care unit of a developing country. Indian J Crit Care Med. 2015; 19(3):147–150. PMID: 25810609.
crossref
24. El Halal MG, Barbieri E, Filho RM, Trotta EA, Carvalho PR. Admission source and mortality in a pediatric intensive care unit. Indian J Crit Care Med. 2012; 16(2):81–86. PMID: 22988362.
crossref
25. Jung M, Park H, Kang D, Park E, Jeon K, Chung CR, et al. The effect of bed-to-nurse ratio on hospital mortality of critically ill children on mechanical ventilation: a nationwide population-based study. Ann Intensive Care. 2020; 10(1):159. PMID: 33257997.
crossref
26. Coulthard MG, Varghese V, Harvey LP, Gillen TC, Kimble RM, Ware RS. A review of children with severe trauma admitted to pediatric intensive care in Queensland, Australia. PLoS One. 2019; 14(2):e0211530. PMID: 30730910.
crossref
27. Fiser DH, Tilford JM, Roberson PK. Relationship of illness severity and length of stay to functional outcomes in the pediatric intensive care unit: a multi-institutional study. Crit Care Med. 2000; 28(4):1173–1179. PMID: 10809301.
crossref
28. Shann F, Pearson G. Paediatric intensive care - specialisation reduces mortality. Anaesthesia. 1999; 54(8):809–810. PMID: 10460538.
crossref
29. Peltoniemi OM, Rautiainen P, Kataja J, Ala-Kokko T. Pediatric Intensive care in PICUs and adult ICUs: a 2-year cohort study in Finland. Pediatr Crit Care Med. 2016; 17(2):e43–e49. PMID: 26669639.
30. Carson SS, Stocking C, Podsadecki T, Christenson J, Pohlman A, MacRae S, et al. Effects of organizational change in the medical intensive care unit of a teaching hospital: a comparison of ‘open’ and ‘closed’ formats. JAMA. 1996; 276(4):322–328. PMID: 8656546.
crossref
31. Li TC, Phillips MC, Shaw L, Cook EF, Natanson C, Goldman L. On-site physician staffing in a community hospital intensive care unit. Impact on test and procedure use and on patient outcome. JAMA. 1984; 252(15):2023–2027. PMID: 6481908.
crossref
32. Pollack MM, Katz RW, Ruttimann UE, Getson PR. Improving the outcome and efficiency of intensive care: the impact of an intensivist. Crit Care Med. 1988; 16(1):11–17. PMID: 3338276.
33. Dellinger RP, Carlet JM, Masur H, Gerlach H, Calandra T, Cohen J, et al. Surviving Sepsis Campaign guidelines for management of severe sepsis and septic shock. Crit Care Med. 2004; 32(3):858–873. PMID: 15090974.
crossref
34. Marra A, Ely EW, Pandharipande PP, Patel MB. The ABCDEF bundle in critical care. Crit Care Clin. 2017; 33(2):225–243. PMID: 28284292.
crossref
35. Acute Respiratory Distress Syndrome Network. Brower RG, Matthay MA, Morris A, Schoenfeld D, Thompson BT, et al. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. N Engl J Med. 2000; 342(18):1301–1308. PMID: 10793162.
crossref

SUPPLEMENTARY MATERIALS

Supplementary Table 1

Trends in incidence and mortality of subgroups of critically ill children
jkms-38-e178-s001.doc

Supplementary Table 2

Trend in mortality by diagnosis
jkms-38-e178-s002.doc
TOOLS
Similar articles