Journal List > Korean J Healthc Assoc Infect Control Prev > v.28(1) > 1516082993

신생아 중환자실에서의 중심정맥관 관련 감염의 역학: 신속 체계적 고찰

Abstract

Background

Catheter-related bloodstream infections (CRBSIs) are serious complications in neonatal intensive care units (NICUs). We aimed to assess the incidence of CRBSIs in NICUs worldwide and describe the causative organisms.

Methods

We searched PubMed, EMBASE, Cochrane, and KoreaMed databases. We included studies on CRBSIs in NICU settings with data on bacteremia. We performed a random-effects meta-analysis on CRBSI incidence in NICUs, stratified the data according to WHO regions. We compiled data on underlying organisms.

Results

Of the 692 studies identified, 71 published between 2011 and 2022 were considered eligible. The pooled incidence of CRBSI per 1000 catheter days in NICUs was 8.66 (95% confidence interval [CI], 7.19; 10.12). Stratifying by WHO regions, the CRBSI incidence per 1000 catheter days was 10.38 (95% CI, 3.86; 16.90) in the Eastern Mediterranean Region (EMR), 11.77 (95% CI, 9.20; 14.35) in the European Union Region (EUR), 5.94 (95% CI, 3.87; 8.00) in the Western Pacific Region (WPR), and 6.71 (95% CI, 4.39; 9.03) in the Region from the Americas (AMR). Of the 2887 bacterial strains, 73.4% (n=2118) were gram-positive bacteria, 18.9% (n=547) were gram-negative bacteria, and 7.8% (n=225) were fungi. Coagulase-negative Staphylococci (n=1380, 65.2%) were the most common pathogen among the gram-positive types, followed by Staphylococcus aureus (n=318, 15%). Among the CRBSI gram-negative cultures, Klebsiella spp. (n=201, 36.7%) was the primary pathogen.

Conclusion

We found a substantial burden of CRBSIs in NICUs across the globe. Our findings highlight the need to improve the implementation of global and local strategies to reduce CRBSIs in NICUs.

INTRODUCTION

Central venous catheters are commonly used to administer medications and parenteral nutrition to vulnerable neonates in neonatal intensive care units (NICUs) [1]. A common and serious complication of central venous catheters is a catheter-related bloodstream infection (CRBSI), which is the most common cause of late-onset sepsis and has an estimated mortality rate of 70% in infants [2]. Neonates are highly vulnerable to CRBSIs in NICUs; however, incidence estimates are lacking in many countries.
A previous systematic review and meta-analysis investigated the incidence of neonatal sepsis [3]; however, no systematic review on the global incidence of CRBSIs limited to NICU settings has been reported to date. The study sought to review neonatal sepsis and mortality across low- and middle-income countries; however, this is not specific to CRBSIs in the NICU [3]. Furthermore, no regional comparative study has investigated the incidence of CRBSIs in NICUs.
We conducted a systematic literature review to assess the incidence of CRBSIs in NICUs worldwide and describe the causative organisms. We aimed to assess the global incidence of CRBSI, particularly in NICUs, and compile data on causative pathogens.

MATERIALS AND METHODS

1. Search strategy

We searched PubMed, EMBASE, Cochrane, and KoreaMed databases using the following keywords: “catheter-related infection”, “CVC infection”, “CVC-related infection”, “CVC associated infection”, “central line infection”, “central line related infection”, “central line-associated infection”, “bacteremia”, “bloodstream infection”, “neonatal intensive care”, “NICU”, “infant”, “neonate”, “newborn”, “newly born infant”, “neonatal infant”, “premature infant”, “preterm infant”, “low birth weight infant”, “LBW infant”, and “CRBSI”. We combined these terms with “AND” or “OR” when searching the databases. The search was performed on December 9, 2022.

2. Selection criteria

Studies were reviewed by their titles and abstracts in the first screening and by full-textarticles in the second screening. The inclusion criteria were as follows: (1) the research participants included patients with CRBSIs, (2) all patients must have been admitted to the NICU, (3) the research participants had received no prior interventions, (4) the research was about microorganisms, and (5) the study was published in English. The exclusion criteria were as follows: (1) the study was duplicated, (2) the data could not be extracted or converted for useful data, (3) the studies were case reports, roundtable meeting reports, conference reports, or reviews, (4) the study was published in languages other than English, and (5) the results were incomplete.

3. Data extraction

The information about the first author, published year, research time, country, data collection method, total patients in NICUs, total patients with CRBSIs, total catheter days, and total distribution of species and types of microorganisms was extracted by the review investigator with Microsoft Office Excel 2010.

4. Statistical analysis

The proportion of extracted data, the proportion of pathogens, and the pooled incidence and its 95% confidence intervals were analyzed using a meta package of R 4.2.2. A random effects model was chosen based on the heterogeneity and significance tests (P<.05, I2>50%). A subgroup analysis of regions divided by the World Health Organization (WHO) was conducted.

RESULTS

1. Study selection

A total of 692 studies were first screened by their titles and abstracts. and 331 were selected for the next full-text screening. Among those, 97 studies did not involve patients with CRBSIs in NICUs, 9 recruited intervention participants, 2 studies were reviews, 9 were written in French and Chinese languages, and 143 did not have useful data for our meta-analysis of CRBSI incidence. Finally, 71 studies [4-74] were eligible for our analysis. We depicted the flowchart of the selection of surveys in Fig. 1.
Table 1 describes the selected studies on CRBSIs in NICUs.

2. Study characteristics

The 71 eligible studies were published from 2011-2022, mainly concentrated in 2012-2016. The surveys were conducted between 2002 and 2020. Dividing the studies by WHO regions, 22 (30.9%) were from the Region from the Americas (AMR) [9,13-15,18-20,24,25,31,32,45,46, 48,51,54,57,61,62,67,69,73], 5 (7.0%) from the Eastern Mediterranean Region (EMR) [4,26,33,34,58], 27 (38.0%) from the European Union Region (EUR) [5,6,8, 10-12,22,27,30,35,36,40-44,47,49,52,55,56,59,63-65,71,72], and 17 (23.9%) from the Western Pacific Region (WPR) [7,16,17,21,23,28,29,37-39,50,53,60,66,68, 70,74].
Most studies were from the United States (n=13, 18.3%) [15,18-20,24,31,32,46,51,54,62,69,73], Australia (n=7, 9.9%) [7,23,28,53,60,66,70], and the Netherlands (n=6, 8.5%) [6,30,35,36,40,72]. Regarding the methodology, 50.7% (n=36) were retrospective and 45.1% (n=32) were prospective studies. We included 63 082 patients in NICUs, except for 17 studies that did not provide information on the total number of patients with catheters.

3. The incidence of CRBSI

We estimated the pooled incidence of CRBSI per 1000 catheter days in NICUs by dividing the regions into subgroups. The CRBSI incidence per 1000 catheter days was 10.38 in the EMR (95% CI, 3.86; 16.90), 11.77 (95% CI, 9.20; 14.35) in the EUR, 5.94 (95% CI, 3.87; 8.00) in the WPR, and 6.71 (95% CI, 4.39; 9.03) in the AMR, and the total weighted CRBSI incidence per 1000 catheter days was 8.66 (95% CI, 7.19; 10.12) (Fig. 2).
Fig. 3 shows the trend of CRBSI per 1000 catheter days by an identified period of surveillance. The incidence of CRBSI per 1000 catheter days was 0.0-26.5, 1.9-23, and 1.5-17.1 in 2006-2010, 2011-2015, and 2016-2020, respectively.

4. Distribution of pathogenic microorganisms

A total of 2887 bacterial strains were isolated from CRBSI samples. Among these, 73.4% (n=2118) were gram-positive bacteria, 18.9% (n=547) were gram-negative bacteria, and 7.8% (n=225) were fungi. Coagulase-negative Staphylococci (n=1380, 65.2%) was the most common pathogen among the gram-positive type, followed by Staphylococcus aureus (n=318, 15%), Enterococcus spp. (n=166, 7.8%), Staphylococcus epidermidis (n=88, 4.2%), and Enterococcus faecalis (n=64, 3%). Among the CRBSI gram-negative cultures, Klebsiella spp. (n=201, 36.7%) was the primary pathogen, followed by Escherichia coli (n=96, 17.6%) and Enterobacter spp. (n=64, 11.9%). Candida species (n=170, 75.6%) was primarily isolated among the fungi, and Candida albicans (n=33, 14.7%) and Candida parapsilosis (n=10, 4.4%) were most frequent among the CRBSI fungi isolates (Table 2).
Gram-positive species were the most common pathogen type among CRBSI incidences in all three regions in our study, with proportions of 70% in the AMR, 76% in the WPR, and 84% in the EUR. Fig 4 describes the proportions of pathogen types among the subgroups of WHO regions. Among the EMR region surveys, no survey isolated pathogenic species. Approximately 20%, 21%, and 14% of the strains were gram-negative in the AMR, WPR, and EUR, respectively. Fungi was isolated in only 2% in EUR, 10% in AMR, and 3% in WPR.

DISCUSSION

We analyzed a total of 71 studies and showed a substantial burden of CRBSIs in NICUs globally; however, our review was limited by a vast difference in terms of incidence rate, necessitating a standardized investigative method to report CRBSIs in NICUs. According to the National Healthcare Safety Network in the United States, only CLABSI in children ≤1 year is defined, which may not be suitable for neonates due to differences in the symptoms of infection [75]. This should motivate global researchers to define local NICU CRBSI definitions according to the standardized recommendations and sustainably implement such preventive measures. In this context, a modified case definition for CRBSI in NICU settings should be adapted from the previously defined “catheter-related bloodstream infection” or “central line-associated bloodstream infection” [76].
This systematic literature review is the first to investigate the global incidence of CRBSIs in NICUs. We estimated the CRBSI incidence with stratification according to WHO regions and identified regional differences in CRBSI incidence. In this study, incidence estimates were higher in the EMR and EUR than in the WPR and AMR. This finding indicates that the need to reduce CRBSIs in NICUs is greater in the EMR and EUR. Data from the African and Southeast Asian regions were not included in this study, which might lead to knowledge gaps on the global incidence of CRBSIs in NICUs. The incidence of neonatal sepsis is reported to be very high in the African region; however, the majority of hospital-wide and ICU-based studies have been conducted in high-income regions such as the European and American WHO regions [77]. Therefore, further studies are required to investigate the data from the African and Southeast Asian regions.
Furthermore, we found a downward trend in the incidence of CRBSIs in NICUs across countries. This may be explained by the adoption of CRBSI prevention bundles at multiple sites; however, this could not be determined from the current dataset. We propose a longitudinal analysis in defined clinical settings to investigate the role of prevention bundles in the incidence of CRBSIs in NICUs at different times.
In our study, the most common causative pathogens of CRBSIs in NICUs were coagulase-negative Staphylococci, Staphylococcus aureus, and Klebsiella spp. Our findings are consistent with a relevant study that estimated the global incidence of neonatal sepsis. This systematic review reported that the most commonly identified pathogens of neonatal sepsis were Staphylococcus aureus and Klebsiella spp. [3]. However, this review did not focus on NICU-based studies, and our study is the first to report the causative pathogens of CRBSI in NICUs worldwide.
Reducing neonatal mortality is an important component of the third Sustainable Development Goal. It is essential to understand the wide variability in neonatal health outcomes, particularly in NICUs across the globe. A recent systematic review showed that West and Central Africa and South Asia had the highest neonatal mortality rates in 2017, despite improvements from the 1990s [78]. A vast difference in neonatal mortality due to infectious causes between high- and low-income countries and regions is an important issue since the regionalization of neonatal healthcare is emphasized [79]. In this context, our study showed that neonatal CRBSI incidence was variable across countries, particularly in different settings. Higher incidences were observed in the Eastern Mediterranean and European regions compared to those of the Western Pacific and American regions. This difference may be explained by the access to facilities for newborns, as previously described [80].
Our study was limited by the variability among individual studies, resulting in heterogeneity of the synthesized data, which required careful interpretation. Despite our broad search strategy with a focus on CRBSIs in NICUs, data from the African and Southeast Asian regions were not included in our study. This may be explained by a lack of epidemiological data, deficiencies in healthcare organizations and resources, and institutional obstacles to delivering critical care in the resource-limited settings of low-income countries. A recent systematic review showed that West and Central Africa and South Asia had the highest neonatal mortality rates in 2017, despiteimprovements from the 1990s [81]. Reducing neonatal mortality is an important component of the third Sustainable Development Goal. It is essential to understand the wide variability in neonatal health outcomes, particularly in NICUs across the globe.
We found a variable incidence of CRBSIs in NICUs globally, with a downward trend over the past 15 years; however, the substantialdisease burden remains among newborns. Our findings highlight the need to improve the implementation of global and local strategies to reduce CRBSIs in NICUs. Future research is required to address the knowledge gaps identified by our study.

ACKNOWLEDGEMENTS

This study was supported by the Korean Society for Healthcare-Associated Infection Control and Prevention in 2021.

Notes

DISCLOSURE OF CONFLICT OF INTEREST

The authors have no potential conflict of interest to disclose.

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Fig. 1
Flowchart of the study selection.
Abbreviations: NICU, neonatal intensive care unit; CRBSI, catheter-related bloodstream infection.
kjicp-28-1-113-f1.tif
Fig. 2
Forest plot for catheter-related bloodstream infections per 1000 catheter days in the different World Health Organization regions, 2002-2020. (A) Eastern Mediterranean, Europe, (B) Western Pacific and Americas.
Abbreviations: EMR, Eastern Mediterranean Region; EUR, European Union Region; WPR, Western Pacific Region; AMR, Region from America.
kjicp-28-1-113-f2.tif
Fig. 3
Trend of catheter-related bloodstream infections per 1000 catheter days in neonatal intensive units by surveillance periods.
kjicp-28-1-113-f3.tif
Fig. 4
The proportions of pathogens identified from catheter-related bloodstream infections in different World Health Organization regions, 2006-2016.
Abbreviations: AMR, Region from America; WPR, Western Pacific Region; EUR, European Union Region.
kjicp-28-1-113-f4.tif
Table 1
The characteristics of studies included in this systematic review
Ref No. Study No. of subjects Study design Country Study year Study population CLABSI prevention Incidence/1000 catheter-days
[4] Al-Mousa et al. 671 Prospective cohort Kuwait 2013-2015 Neonatal patients None 15.3
[5] Almeida et al.* 1194 Retrospective Portugal 2007-2010 Newborn infants Preventive bundle 14.1
[6] Arnts et al.* 45 Prospective observational Netherland 2009-2010 Newborn infants Preventive bundle 12.9
[7] Bannatyne et al.* 406 Retrospective cohort Australia 2011-2013 Newborn infants Preventive bundle 8.8
[8] Bierlaire et al.* 140 Prospective Belgium 2019 Neonates Preventive bundle 8.4
[9] Blanchard et al. Retrospective cohort Canada 2007-2011 Neonatal patients None 4
[10] Bolat et al. 569 Prospective, cohort Turkey 2009-2011 Neonatal patients None 3.64
[11] Boutaric et al.* 111 Prospective France 2004-2006 Premature infants Preventive protocol 16
[12] Bunni et al.* 311 Retrospective UK 2009 Neonates Preventive bundle 22.4
[13] Cabrera et al. 167 Prospective Peru 2017-2018 Neonates None 8
[14] Callejas et al. 689 Retrospective Canada 2010-2013 Neonates None 5.6
[15] Chandonnet et al.* Prospective USA 2011 Neonatal patients Preventive bundle 2.6
[16] Cheng et al. 123 Retrospective cohort China 2011-2012 Neonates None 4.99
[17] Cheong et al. 39 Retrospective Japan 2013 VLBW infants None 3.57
[18] Cleves et al. 1246 Retrospective, quasi-experimental USA 2012-2014 Neonates Chlorhexidine baths 8.64
[19] Dumpa et al.* 68 Retrospective review USA 2009-2010 Neonatal patients Preventive bundle 4.4
[20] Erdei et al.* Prospective USA 2009 Newborn infants Preventive bundle 4.1
[21] Ereno et al. 107 Retrospective Singapore Neonatal patients None 5.9
[22] Flidel-Rimon et al.* 141 Prospective Israel 2011-2012 Infants Preventive bundle 15.2
[23] Fontela et al. Retrospective dynamic cohort Australia 2003-2009 Neonatal patients None 4.4
[24] Freeman et al.* 285 Retrospective USA 2005-2012 Neonatal patients Prevention protocol 1.69
[25] Freitas et al. 1560 Prospective cohort Brazil 2014-2016 Neonates None 18.6
[26] Gadallah et al. 434 Prospective cohort Egypt 2012 Neonates None 158.3
[27] Gerver et al. Retrospective UK 2016-2017 Neonates None 1.5
[28] Greenhalgh et al. 176 Retrospective cohort Australia 2012 Neonates None 11.5
[29] Hei et al. 131 Prospective China 2008-2011 Neonatal patients None 13.7
[30] Helder et al.* 537 Prospective, observational Netherland 2014-2016 Infants Antiseptic protocol 3.1
[31] Hocevar et al. Retrospective USA 2006-2008 Neonates None 3.9
[32] Holzmann-Pazgal et al.* Retrospective USA 2006-2008 Neonates Line team 11.6
[33] Hussain et al. 301 Prospective Pakistan 2016 Neonatal patients Preventive bundle 17.1
[34] Hussain et al. 2046 Retrospective Pakistan 2011-2015 Neonatal patients None 8.9
[35] Jansen et al. 180 Retrospective cohort Netherland 2015-2019 Preterm neonates None 14
[36] Jansen et al. 891 Retrospective cohort Netherland 2012-2020 Preterm neonates None 13.4
[37] Jeong et al.* 326 Retrospective Korea 2011-2013 Neonatal patients Preventive bundle 6.6
[38] Kim et al. Retrospective review Korea 2016-2020 Infants None 2.85
[39] Kinoshita et al. 2383 Prospective observational Japan 2014-2017 VLBW infants None 2.1
[40] Kleinlugtenbeld et al.* 75 Prospective Netherland 2007 Premature newborn Preventive bundle 20.1
[41] Kourkouni et al. Prospective Greece Neonatal patients None 6.58
[42] Kulali et al.* 70 Prospective cohort Turkey 2016-2017 Neonatal patients Preventive bundle 12.4
[43] Leblebicioglu et al. 3430 Prospective Turkey 2003-2012 Neonatal patients None 21
[44] Leistner et al. 5586 Prospective cohort Germany 2008-2009 VLBW infants None 8.3
[45] Leveillee et al. 1577 Retrospective cohort Canada 2011-2016 Neonates None 8.4
[46] Milstone et al. 3967 Retrospective cohort USA 2005-2010 Neonates None 1.66
[47] Mohamed Cassim et al.* 350 UK 2010-2011 Newborn infants Preventive bundle 4.3
[48] Nercelles et al. 4704 Prospective Chile 2005-2011 Newborn infants None 0.9
[49] Nielsen et al. 382 Retrospective Denmark 2019-2020 Neonatal patients None 13.41
[50] Oh et al. 429 Retrospective Korea 2017 Infants Preventive bundle 1.89
[51] Patrick et al.* Prospective cohort USA 2007-2012 Neonatal patients None 2.1
[52] Pavcnik-Arnol et al. Prospective cohort Slovenia 2011-2012 Neonatal patients None 5.5
[53] Pharande et al.* 13731 Prospective Australia 2002-2016 Newborn infants Preventive bundle 12.04
[54] Piazza et al. Retrospective USA 2011 Neonatal patients None 1.333
[55] Ponnusamy et al. 189 Prospective observational UK 2009-2010 Infants None 16.9
[56] Rallis et al.* 94 Prospective Greece 2012 Neonates Preventive bundle 12
[57] Resende et al.* 551 Prospective Brazil 2010-2011 Infants Preventive bundle 23
[58] Rosenthal et al.* 2009 Prospective surveillance El Salvador, Mexico, Philippines, Tunisia 2003 Neonatal patients Preventive bundle 21.4
[59] Salm et al.* 3028 Prospective cohort Germany 2007-2009 VLBW infants Preventive bundle 13.47
[60] Sanderson et al. 4248 Prospective Australia 2007-2009 Infants None 10.6
[61] Shalabi et al. 540 Retrospective matched cohort Canada 2010-2013 Infants None 8.5
[62] Shepherd et al.* USA 2003-2006 Infants Preventive bundle 6
[63] Sinha et al.* 152 Retrospective UK 2007 Preterm neonates Preventive bundle 26.5
[64] Soares et al. 251 Retrospective cohort Portugal 2014-2016 Neonatal patients None 12.4
[65] Steiner et al.* 526 Prospective Germany 2010-2012 VLBW infants Preventive bundle 8.96
[66] Taylor et al. 83 Retrospective, quasi-experimental Australia 2013-2017 Infants None 13.8
[67] Ting et al.* Retrospective observational Canada 2007-2008 Neonates Preventive bundle 7.9
[68] Wen et al. 301 Prospective China 2010-2014 Premature infants None 1.9
[69] Wilder et al.* USA 2011 Neonatal patients Preventive bundle 3.9
[70] Worth et al. Prospective Australia 2008-2016 Neonatal patients None 2.2
[71] Yalaz et al. 1200 Prospective Turkey 2008-2010 Newborn infants None 4.1
[72] Yumani et al. 369 Retrospective Netherland 2007 Neonatal patients None 18.1
[73] Zachariah et al. Cross-sectional USA 2011 Neonatal patients None 1.52
[74] Zhou et al. 29 Prospective China 2008-2010 Newborns Preventive bundle 16.7

*Estimated only pre-intervention period CLABSI rate.

Abbreviation: VLBW, very low birth weight.

Table 2
The proportion of pathogen related to catheter-related bloodstream infection in neonatal intensive care unit (2006-2020)
Total pathogens (n=2887) Frequency (%)
Gram-positive (n=2118)
Coagulase-negative Staphylococci 1380 (65.2)
Staphylococcus epidermidis 88 (4.2)
Staphylococcus capitis 14 (0.7)
Staphylococcus aureus 333 (15.7)
Methicillin-resistant Staphylococcus aureus 14 (0.7)
Methicillin-sensitive Staphylococcus aureus 10 (0.5)
Enterococcus spp. 166 (7.8)
Enterococcus faecalis 64 (3)
Streptococcus spp. 19 (0.9)
Bacillus spp. 11 (0.5)
Other gram-positive 19 (0.9)
Gram-negative (n=547)
Klebsiella spp. 201 (36.7)
Klebsiella pneumoniae 37 (6.8)
Escherichia coli 96 (17.6)
Enterobacter spp. 65 (11.9)
Enterobacter cloacae 6 (1.1)
Pseudomonas aeruginosa 32 (5.9)
Acinetobacter baumannii 24 (4.4)
Serratia marcescens 19 (3.5)
Citrobacter freundii 5 (0.9)
Burkholderia cepacia 3 (0.5)
Pseudomonas fluorescens 2 (0.4)
Stenotrophomonas maltophilia 2 (0.4)
Citrobacter koseri 2 (0.4)
Other gram-negative 53 (9.7)
Fungi (n=225)
Candida spp. 170 (75.6)
Candida albicans 33 (14.7)
Candida parapsilosis 10 (4.4)
Candida guillermondii 5 (2.2)
Candida lusitaniae 3 (1.3)
Candida tropicalis 2 (0.9)
Candida glabrata 2 (0.9)
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