Background:
Infection is a leading cause of death among very low birth–weight (VLBW) infants in resource-limited settings.
Methods:
We performed a retrospective review of healthcare-associated infection (HAI) episodes among VLBW infants from January 1, 2016, to December 31, 2017. The epidemiology, causative organisms and short-term outcomes were analyzed. Logistic regression was used to investigate for factors associated with development of HAI.
Results:
During the study period, 715 VLBW infants with suspected HAI were investigated, including 162/715 (22.7%) proven and 158/715 (22.1%) presumed HAI. Of the proven infections, 99/162 (61.1%) contained at least one Gram-negative organism per blood culture; 84/162 (51.9%) single Gram-negative organisms and 15/162 (9.3%) polymicrobial growth. Independent factors associated with development of any HAI included low gestational age, small for gestational age, indwelling central venous catheter and invasive ventilation. Compared with infants in whom HAI had been excluded, infants with HAI were more likely to be diagnosed with necrotizing enterocolitis (5.6% vs. 23.1%; P < 0.001) and bronchopulmonary dysplasia (1.0% vs. 4.4%; P = 0.007). Infants with any HAI also had a longer hospital stay [44 (25–65) vs. 38 (26–53) days; P < 0.001] and increased mortality [90/320 (28.1%) vs. 21/395 (5.3%); P < 0.001] compared with infants who did not develop HAI episodes.
Conclusions:
Proven and presumed HAI are a major contributor to neonatal morbidity and mortality; further research is urgently needed to better understand potential targets for prevention and treatment of HAI in resource-limited neonatal units.
Keywords: neonate, low birth–weight, healthcare-associated infection, sepsis, Africa, outcome
Infection is a leading cause of morbidity and mortality during the first 4 weeks of life—the neonatal period—worldwide.1,2 It is estimated that as many as 22 neonates per 1000 live births develop infection, with 11%–19% infection-associated mortality.3 Preterm and very low birth–weight infants (VLBW; <1 500 g) are particularly vulnerable to acquisition of neonatal healthcare-associated infection (HAI; infections occurring after 72 hours of admission), as they have altered innate and adaptive immune responses and long hospital stays.4 HAI prevalence rates vary from 10% to 30% among VLBW infants, exceeding that observed in term infants 2- to 5-fold.5 Furthermore, HAI is associated with adverse short- and long-term outcomes, such as death or neurodevelopmental impairment.5,6
Despite the substantial HAI burden encountered in VLBW infants, the pathogenesis of HAI is poorly understood and the knowledge of factors associated with HAI is limited.7 A further challenge is the lack of a consensus definition for neonatal HAI, making it difficult to compare the burden and impact of HAI in different settings, especially in Africa.8 Diagnosis of neonatal HAI traditionally relies on microbiological culture-based organism identification, but blood culture yields are often low (5–10%) and prone to contamination by skin commensals.9,10 In many low-middle income countries, access to microbiology laboratories is limited, leading to an increased reliance on adjunctive tests, such as the C-reactive protein (CRP), to make the diagnosis of presumed or culture-negative HAI.11,12 Very few neonatal units have reported prevalence estimates for presumed HAI, likely leading to an underappreciation of the true infection burden, antimicrobial prescription rates and adverse outcomes. The National Institute of Child Health and Human Development Neonatal Research Network and a large Chinese study both recently reported that preterm infants with presumed (culture-negative) HAI had higher rates of complications, higher risk of neurodevelopmental impairment and increased mortality compared with those with no HAI.13,14
In South Africa, there is limited data relating to neonatal HAI, and there are no known publications referring to presumed HAI. The objectives of this study were to describe the disease burden of proven and presumed HAI at a tertiary neonatal center in South Africa, and to describe the factors associated with any HAI and the short-term outcomes of these in VLBW infants with HAI compared with those in whom the diagnosis of HAI had been excluded.
MATERIALS AND METHODS
Study Design and Setting
We conducted a retrospective review of HAI episodes among VLBW infants at Tygerberg Hospital, South Africa, between January 1, 2016, and December 31, 2017. Tygerberg hospital is a 1384-bed tertiary hospital in the Western Cape, South Africa. The obstetric-neonatal service manages approximately 8000 high-risk deliveries (37% low birth–weight, <2500 g) and 3000 neonatal admissions annually.15 The 132-bed neonatal unit includes a 12-bed neonatal intensive care unit, 3 high-dependency wards and 1 kangaroo mother care ward. Because of limited neonatal intensive care unit beds, neonates with a gestational age of less than 27 weeks and a birth weight of less than 800 g are managed on the neonatal wards. Noninvasive ventilation and surfactant administration are practiced on the wards.16 Data on VLBW infants admitted in the neonatal unit were extracted from admission records. Using the National Health Laboratory Service Trakcare Results viewer, and the Tygerberg Hospital Enterprise Content Management electronic patient records, any VLBW infant undergoing investigation for suspected infection after 72 hours of admission was identified. Only the first suspected infection episode that was investigated was included in the analysis. Data were captured using REDCap, a secure online electronic data capture tool hosted at Stellenbosch University.17,18
Investigation and Management of Suspected Neonatal Hospital-acquired Infection
Neonatal HAI is usually clinically suspected based on signs of possible infection, for example, tachypnea, tachycardia, temperature or glucose instability, mottled skin. Based on these clinical symptoms and signs, and at the discretion of the attending clinician, a single blood culture is aseptically collected, as well as a CRP and a complete blood count, and empiric antimicrobials initiated.
Study Definitions
HAI episodes occurring after 72 hours of admission to the neonatal unit were classified into 3 categories19:
Proven HAI: Positive blood culture. Organisms were classified using the United States Centers for Disease Control (CDC) list of pathogens and contaminants.20 Repeat blood cultures isolating the same pathogen within 10 days of the original specimen were considered to represent a single episode of infection. Patients who isolated coagulase-negative staphylococci from 2 separate blood cultures taken 24–48 hours apart, or from a single positive blood culture combined with a serum CRP ≥ 10 mg/L and clinical features suggestive of infection, were included in the analysis. All other contaminants were grouped in the HAI excluded category.
Presumed HAI: Clinical signs and symptoms of infection, such as respiratory distress, apnea, tachycardia, abdominal distention, temperature instability, lethargy and vomiting; in the presence of a CRP ≥ 10 mg/L and a negative blood culture, where antibiotic treatment was continued for ≥5 days.
Excluded HAI: Clinical signs and symptoms of infection, such as respiratory distress, apnea, tachycardia, abdominal distention, temperature instability, lethargy and vomiting; in the presence of a CRP ≤ 10 mg/L and a negative blood culture, where antibiotic treatment was discontinued within 48–72 hours based on local treatment guidelines.
Small for gestational age (SGA) was defined as birth weight for gestational age below the 10th centile.21 Invasive ventilation included any form of ventilation through an endotracheal tube. Central venous catheters (CVC) were included as a variable when present at the time of investigation for infection, or present in the 48 hours before the investigation. The diagnosis of bronchopulmonary dysplasia was based on the Vermont Oxford Network algorithm of supplemental oxygen requirement at 36 weeks postmenstrual age.22 Patent ductus arteriosus was diagnosed according to the Vermont Oxford Network definition which incorporates a combination of Doppler echocardiogram and clinical criteria.22 Severe intraventricular hemorrhage (sIVH) was defined as grades III and IV hemorrhage according to the grading method described by Papile et al.23 Cystic periventricular leukomalacia (cPVL) was diagnosed according to the grading system by de Vries et al.24 Necrotizing enterocolitis was classified according to the VON criteria which incorporates features from Bell staging.22
Statistical Analysis and Ethics Approval
Statistical analysis was performed using IBM SSPS Statistics for Macintosh, Version 27.0 using an α level of 0.05 with a corresponding 95% confidence interval, for descriptive statistics. For normally distributed continuous variables, means and standard deviations were calculated. Medians and interquartile ranges (IQR) were used for non-normally distributed continuous data. For categorical variables the χ2 or Fisher’s exact test were used. Variables with a P value <0.1 on univariate analysis were included in logistic regression analysis. Independent t-tests and one-way analysis of variance was used to compare continuous variables with normal distributions.
The Stellenbosch University Health Research Ethics Committee and the Tygerberg Hospital management reviewed and approved the study protocol (N18/09/099).
RESULTS
Epidemiology
During the study period, 715 VLBW infants (44.4% of the total neonatal unit admissions of 1609) were investigated for clinically suspected HAI after 72 hours of admission, and 162/715 (22.7%) were diagnosed with proven HAI and 158/715 (22.1%) with presumed HAI. A third of the infants diagnosed with proven HAI died (34.0%; 55/162), and 22.2% (35/158) of those with presumed HAI died. The all-cause in-hospital mortality rate for all VLBW infants during this period was 16.0% (unpublished data). During the study period, the incidence of proven HAI and presumed HAI among VLBW infants was 3.3/1000 and 3.2/1000 in-patient days, respectively.
Pathogen Distribution
The majority (99/162, 61.1%) of proven HAI episodes were caused by Gram-negative organisms [84/162 (51.9%) single Gram-negative organisms and 15/162 (9.3%) with polymicrobial growth] (Table 1). Single Gram-positive organisms accounted for 34.6% (56/162). S. aureus and A. baumannii were the most common organisms, contributing 18.5% (30/162) and 14.8% (24/162), respectively. Onset of proven HAI occurred at a median of 9 days (IQR 6–13). There was a significant difference between the age in days at onset of infection by pathogen type: Gram-negative infections [7 days, IQR 5–10]; Gram-positive infections [11 days, IQR 7–18]; and polymicrobial infections [10 days, IQR 6–13], P = 0.003).
TABLE 1.
Organism | Number (%) | Median Age at Onset (d, IQR) | Crude Mortality by Causative Pathogen (%) | |||
---|---|---|---|---|---|---|
Gram-negative organisms | 84 | (51.9) | 7 | (5–10) | 33 | (39.3) |
A. baumannii | 24 | (14.8) | 5 | (4–6) | 11 | (45.8) |
Klebsiella spp. | 23 | (14.2) | 8 | (6–10) | 8 | (34.8) |
S. marcescens | 20 | (12.3) | 7 | (5–10) | 7 | (35.0) |
E. coli | 7 | (4.3) | 16 | (9–26) | 2 | (28.6) |
Other* | 10 | (6.2) | 7 | (5–15) | 5 | (50.0) |
Gram-positive organisms | 56 | (34.6) | 11 | (7–18) | 13 | (23.2) |
S. aureus | 30 | (18.5) | 10 | (7–16) | 8 | (26.7) |
Enterococcus spp. | 10 | (6.1) | 11 | (7–13) | 4 | (40.0) |
CoNS | 9 | (5.6) | 15 | (11–33) | 0 | (0.0) |
S. agalactiae | 7 | (4.3) | 28 | (13–32) | 1 | (14.3) |
Polymicrobial growth | 22 | (13.6) | 10 | (5–18) | 9 | (40.9) |
Gram-negative only | 6 | (27.3%) | 4 | (4–8) | 6 | (100.0) |
Gram-positive only | 7 | (31.8%) | 11 | (5–32) | 2 | (28.6) |
Mixed growth | 9 | (40.9%) | 12 | (10–21) | 1 | (11.1) |
Total | 162 | (100.0) | 9 | (6–13) | 55 | (34.0) |
Other: E. cloacae (n = 3, P. aeruginosa (n = 2), P. mirabilis (n = 2), unspecified other (n = 3).
CoNS indicates coagulase-negative staphylococci; HAI, healthcare-associated infection; IQR, interquartile range; VLBW, very low birth weight.
Antimicrobial resistance was common, with methicillin-resistance present in 73.3% (22/30) of S. aureus isolates. Among Klebsiella spp., 73.9% (17/23) produced extended-spectrum β-lactamase, 83.3% (20/24) of A. baumannii were carbapenem resistant and 65.0% (13/20) of S. marcescens produced inducible β-lactamases. There were no fungal organisms cultured during the first episode of infection, and polymicrobial growth was documented in 13.6% (22/162).
Factors Associated With Proven, Presumed and Any HAI
When comparing VLBW infants without HAI to VLBW infants who developed proven HAI, lower gestational age and lower birth weight, invasive ventilation and the presence of an indwelling CVC were found to be significant (Table, Supplemental Digital Content 1, http://links.lww.com/INF/E789). After logistic regression analysis, only ventilation and CVC remained independent risk factors (Table 2). VLBW infants with a CVC and invasive ventilation were 8.4 and 3.7 times more likely to have proven HAI.
TABLE 2.
Risk Factor | Proven HAI* | Presumed HAI* | Any HAI* | ||||||
---|---|---|---|---|---|---|---|---|---|
OR | (95% CI) | P | OR | (95% CI) | P | OR | (95% CI) | P | |
Gestational age (wks), median (IQR) | 0.934 | (0.827–1.056) | 0.275 | 0.745 | (0.660–0.841) | <0.001 | 0.861 | (0.755–0.981) | 0.025 |
Birth weight (g), median (IQR) | 1.000 | (0.999–1.001) | 0.928 | 0.999 | (0.998–1.001) | 0.305 | |||
Small for gestational age, n (%) | 5.041 | (2.556–9.940) | <0.001 | 2.269 | (1.190–4.328) | 0.013 | |||
Delivery outside of tertiary facility, n (%) | 1.232 | (0.600–2.529) | 0.570 | 1.365 | (0.757–2.460) | 0.301 | |||
Central venous catheter, n (%) | 8.400 | (4.305–16.390) | <0.001 | 3.491 | (1.695–7.189) | 0.001 | 5.379 | (2.903–9.967) | <0.001 |
Invasive ventilation, n (%) | 3.704 | (2.181–6.291) | <0.001 | 6.119 | (3.505–10.684) | <0.001 | 4.679 | (2.943–7.440) | <0.001 |
Only factors with P < 0.1 on univariate analysis included in logistic regression analysis.
CI indicates confidence intervals; HAI, healthcare-associated infection; IQR, interquartile range; OR, odds ratio.
Compared with VLBW infants without HAI, those who developed presumed HAI were characterized by lower gestational age and SGA, delivery outside of a tertiary facility, invasive ventilation and the presence of an indwelling CVC (Table, Supplemental Digital Content 2, http://links.lww.com/INF/E790). After logistic regression analysis all but delivery outside of tertiary facility remained independent risk factors (Table 2). SGA, CVC and invasive ventilation were associated with a 5.0-, 3.5- and 6.1-times increased likelihood of being diagnosed with presumed HAI.
When combining presumed and proven HAI (any HAI) and comparing it to VLBW without HAI, lower gestational age, lower birth weight, SGA, delivery outside of a tertiary facility, invasive ventilation and the presence of an indwelling CVC reached significance on the univariate analysis (Table, Supplemental Digital Content 3, http://links.lww.com/INF/E791). Lower gestational age, SGA, CVC and invasive ventilation remained independent factors associated with any HAI after logistic regression analysis (Table 2). VLBW infants with SGA, CVC and invasive ventilation were found to be 2.3, 5.4 and 4.7 times more likely to be diagnosed with any HAI.
Short-term Outcomes
All comorbidities, except for severe intraventricular hemorrhage, occurred more frequently in VLBW infants with any HAI, compared with those without HAI (Table 3). Those with any HAI also had a longer hospital stay [44 (25–65) days vs. 38 (26–53) days; P < 0.001] and increased mortality [90/320 (28.1%) vs. 21/395 (5.3%); P < 0.001]. Gram-negative HAI tended to have a shorter hospital stay [29 (10–50) days vs. 52 (28–72) days; P < 0.001] and higher mortality [33/84 (39.3%) vs. 13/56 (16.1%); P = 0.035] than those with Gram-positive HAI.
TABLE 3.
HAI Excluded | Any HAI | Proven HAI | Presumed HAI | |
---|---|---|---|---|
n | 395 | 320 | 162 | 158 |
Length of hospital stay (d), median (IQR) | 38 (26–53) | 44 (25–65)* | 37 (15–57) | 53 (33–70)† |
Severe IVH, n (%) | 14 (3.5) | 18 (5.6) | 12 (7.4) | 6(3.8) |
Cystic PVL, n (%) | 11 (2.8) | 37 (11.6)* | 20 (12.3)* | 17 (10.8) |
NEC, n (%) | 22 (5.6) | 74(23.1)* | 24 (17.9)* | 50 (31.6)† |
PDA, n (%) | 37 (9.4) | 60 (18.8)* | 29(17.9)* | 31 (19.6) |
BPD, n (%) | 4 (1.0) | 14 (4.4)* | 5 (3.1) | 9 (5.7) |
Mortality, n (%) | 21 (5.3) | 90 (28.1)* | 55 (34.0)* | 35 (22.2)† |
Compared with HAI excluded, P < 0.05.
Compared with proven HAI.
BPD indicates bronchopulmonary dysplasia; HAI, healthcare-associated infection; IQR, interquartile range; IVH, intraventricular hemorrhage; NEC, necrotizing enterocolitis; PDA, patent ductus arteriosus; PVL, periventricular leukomalacia; VLBW, very low birth weight.
DISCUSSION
HAI, both proven and presumed, contributes substantially to morbidity and mortality among VLBW infants at this tertiary neonatal unit in South Africa.
The main strength of this study is the inclusion of presumed HAI in our analysis. The prevalence of presumed HAI among VLBW infants has not been well described and can therefore not be compared with other facilities and countries. We included a large sample of VLBW infants investigated for suspected HAI with robust laboratory investigation for infection using CRP, complete blood count and blood culture. The retrospective nature of this study was a major limitation. This was also a single-center study at a tertiary referral hospital, and subsequently, the results may not be generalizable to other facilities in low-middle income countries.
The incidence of proven and presumed HAI of 3.3/1000 and 3.2/1000 in-patient days, respectively, is equal to the previously published rate of 3.3/1000 in-patient days for the period of 2014–2018, for the same neonatal unit at Tygerberg hospital (term infants included; proven HAI).25 However, our study only included the first episode of proven HAI, and if all proven HAI among VLBW for the study period were to be included, the incidence will likely be much higher.
The overall period prevalence of proven HAI among VLBW infants at our hospital (162/1609; 10.1%) is higher than that reported in China (4.4%),26 similar to proven HAI prevalence in Singapore (12.9%),27 but markedly lower than those reported in other resource-limited settings such as Bangladesh (53.2%),28 Brazil (34%)29 and Egypt (21.5%).30 Kenya and Nigeria have reported proven HAI prevalence of 16.9% and 52.5%, respectively, but this included neonates of all birth weight and gestational age categories, and these studies were performed more than 20 years ago.31,32 It is difficult to compare the prevalence of proven HAI with other units in Africa, as there is a paucity of data on VLBW infants, as well as differences in definitions used to classify proven HAI (72 hours vs. 7 days).8
The majority of proven HAI was caused by antimicrobial-resistant Gram-negative organisms, with infection onset earlier than Gram-positive organisms, and associated with a higher risk of mortality. The predominance of Gram-negative pathogens is in keeping with reports from Ethiopia,33 Nigeria34 and Johannesburg (South Africa).35 However, it is in contrast to reports from Tanzania,36 where Gram-positive organisms, specifically Staphylococcus aureus, predominated, and to reports form high-income countries, where coagulase-negative staphylococci predominated..37 Interestingly, there has been a recent report of increases in Gram-negative infections in Utrecht, Netherlands.38
Lower gestational age and lower birth weight has been found to be inversely related to an increased risk of infection by several authors.5,39,40 Although not consistently found to be an independently associated with HAI in our analysis, it should continue to be considered a major associated factor based on clinical experience and previous publications. Our findings confirmed that the presence of a CVC poses a significant risk of HAI, as has been described in previous publications.39,41–43 Invasive ventilation has also been associated with an increased risk of HAI,40 but can also be used as an indication of the severity of the underlying illness.
Human immunodeficiency virus (HIV) exposure was not statistically associated with the presence or absence of HAI, which is in contrast with previous publications. Kabwe et al44 found decreased odds of proven HAI in Zambian babies born to mothers with HIV; and in a recent study in Johannesburg, South Africa, it was found that babies born to mothers with HIV but not living with HIV had a 1.4-fold increased odds of developing HAI.45
The higher incidence of cPVL, NEC, patent ductus arteriosus and bronchopulmonary dysplasia among infants with any HAI episode is not surprising and in keeping with the increased HAI associated risk described by several authors, especially in neonates with multiple episodes of infection.46,47
The all-cause mortality in the VLBW admission cohort over the 2-year period was 16.0% (unpublished data). This is higher than the mortality reported from high-income settings, for example, Germany (9.9%)48 and Israel (13.8%),49 and markedly lower than that reported from other African neonatal units [Johannesburg (26.6%),50 Limpopo (22.6%)51 and Malawi (58%)52]. Gram-negative infections are associated with a higher risk of death,36,53 and our findings were consistent with this finding as the mortality of single and polymicrobial Gram-negative infections was 40.4% (40/99). The shorter hospital stay observed among VLBW infants with Gram-negative HAI compared with Gram-positive HAI in this study is most likely caused by the higher mortality rate experienced by those with Gram-negative HAI.
The diagnosis of presumed HAI is controversial: There are many conditions that mimic infections in the neonate, and there are noninfectious causes of raised inflammatory markers like CRP. However, negative blood cultures may not necessarily indicate the absence of a blood stream infection, as obtaining adequate inoculum volumes (≥1 mL of blood) in VLBW infants is challenging.54 Subsequently, it is important to describe this group of patients, as often they receive antimicrobial therapy for periods of 5 days or longer. In the era of increasing antimicrobial resistance, further research into this group is essential to guide appropriate antimicrobial stewardship, especially in neonatal units where access to microbiological services is limited. Additionally, neonates with presumed HAI are at higher risk of adverse neurological outcomes,13,14 highlighting the importance of further research to identify possible areas of intervention to improve outcomes.
The WHO published “Every newborn: an action plan to end preventable deaths,” to reach the target of 10 or less neonatal deaths per 1000 live births by 203555 and the United Nations have developed Sustained Development Goals, including goal number 3, which aims to reduce neonatal mortality to at least as low as 12 per 1000 live births by 2030.56 As HAI remain a major contributor to neonatal mortality, the prevention there-of is paramount to reducing neonatal mortality. However, the lack of a consensus definition and the limited data pertaining to risk factors and accurate diagnosis, especially related to presumed infections, is a challenge that will need to be addressed urgently.
CONCLUSION
Healthcare-associated infections, albeit proven or presumed, remains a major contributor to neonatal morbidity and mortality in South Africa, and further research is urgently needed to improve neonatal outcomes.
Supplementary Material
Footnotes
A.D. is supported by an NIH Fogarty Emerging Global Leader Award K43 TW010682.
The authors have no conflicts of interest to disclose.
Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (www.pidj.com).
Contributor Information
Adrie Bekker, Email: adrie@sun.ac.za.
Mirjam M. Van Weissenbruch, Email: m.vanweissenbruch@amsterdamumc.nl.
Angela Dramowski, Email: dramowski@sun.ac.za.
REFERENCES
- 1.Stoll BJ, Hansen N. Infections in VLBW infants: studies from the NICHD Neonatal Research Network. Semin Perinatol. 2003;27:293–301. [DOI] [PubMed] [Google Scholar]
- 2.Lawn JE, Wilczynska-Ketende K, Cousens SN. Estimating the causes of 4 million neonatal deaths in the year 2000. Int J Epidemiol. 2006;35:706–718. [DOI] [PubMed] [Google Scholar]
- 3.Fleischmann-Struzek C, Goldfarb DM, Schlattmann P, et al. The global burden of paediatric and neonatal sepsis: a systematic review. Lancet Respir Med. 2018;6:223–230. [DOI] [PubMed] [Google Scholar]
- 4.Melville J, Moss T. The immune consequences of preterm birth. Front Neurosci. 2013;7:1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Stoll BJ, Hansen N, Fanaroff AA, et al. Late-onset sepsis in very low birth weight neonates: the experience of the NICHD Neonatal Research Network. Pediatrics. 2002;110(2 Pt 1):285–291. [DOI] [PubMed] [Google Scholar]
- 6.Mitha A, Foix-L’Hélias L, Arnaud C, et al. ; EPIPAGE Study Group. Neonatal infection and 5-year neurodevelopmental outcome of very preterm infants. Pediatrics. 2013;132:e372–e380. [DOI] [PubMed] [Google Scholar]
- 7.Letouzey M, Foix-L’Hélias L, Torchin H, et al. ; EPIPAGE-2 Working Group on Infections. Cause of preterm birth and late-onset sepsis in very preterm infants: the EPIPAGE-2 cohort study. Pediatr Res. 2021;90:584–592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.McGovern M, Giannoni E, Kuester H, et al. ; Infection, Inflammation, Immunology and Immunisation (I4) section of the ESPR. Challenges in developing a consensus definition of neonatal sepsis. Pediatr Res. 2020;88:14–26. [DOI] [PubMed] [Google Scholar]
- 9.Nannan Panday RS, Wang S, van de Ven PM, et al. Evaluation of blood culture epidemiology and efficiency in a large European teaching hospital. PLoS One. 2019;14:e0214052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Dramowski A, Cotton MF, Rabie H, et al. Trends in paediatric bloodstream infections at a South African referral hospital. BMC Pediatr. 2015;15:33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Dong Y, Speer CP. Late-onset neonatal sepsis: recent developments. Arch Dis Child Fetal Neonatal Ed. 2015;100:F257–F263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Paolucci M, Landini MP, Sambri V. How can the microbiologist help in diagnosing neonatal sepsis? Int J Pediatr. 2012;2012:120139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mukhopadhyay S, Puopolo KM, Hansen NI, et al. ; NICHD Neonatal Research Network. Neurodevelopmental outcomes following neonatal late-onset sepsis and blood culture-negative conditions. Arch Dis Child Fetal Neonatal Ed. 2021;106:467–473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Jiang S, Yang Z, Shan R, et al. ; Reduction of Infection in Neonatal Intensive Care Units using the Evidence-based Practice for Improving Quality Study Group. Neonatal outcomes following culture-negative late-onset sepsis among preterm infants. Pediatr Infect Dis J. 2020;39:232–238. [DOI] [PubMed] [Google Scholar]
- 15.Milambo JPM, Cho K, Okwundu C, et al. Newborn follow-up after discharge from a tertiary care hospital in the Western Cape region of South Africa: a prospective observational cohort study. Glob Health Res Policy. 2018;3:2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Perinatal Task Team: Western Cape. Standard post-natal interventions for peri-viable preterm birth in extremely low birth weight infants in the Western Cape Province Department of Health. 2016. Available at: http://www.obstyger.co.za/Downloads/Periviable_province.pdf. Accessed March 3, 2022.
- 17.Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Harris PA, Taylor R, Minor BL, et al. ; REDCap Consortium. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019;95:103208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wirtschafter DD, Padilla G, Suh O, et al. Antibiotic use for presumed neonatally acquired infections far exceeds that for central line-associated blood stream infections: an exploratory critique. J Perinatol. 2011;31:514–518. [DOI] [PubMed] [Google Scholar]
- 20.Centres for Disease Control and Prevention. CDC List of common skin contaminants/Common commensals. 2011. Available at: http://www.cdc.gov/nhsn/XLS/Common-SkinContaminant-List-June-2011.xlsx. Accessed March 3, 2022.
- 21.de Onis M, Habicht JP. Anthropometric reference data for international use: recommendations from a World Health Organization Expert Committee. Am J Clin Nutr. 1996;64:650–658. [DOI] [PubMed] [Google Scholar]
- 22.Vermont Oxford Network. Vermont Oxford Network Manual of Operations 2019, Part 2, Release 23.2 (PDF). Available at: https://portal.vtoxford.org. https://vtoxford.zendesk.com/hc/en-us/articles/360013115393-2019-Manual-of-Operations-Part-2-Release-23-2-PDF. Accessed March 3, 2022.
- 23.Papile LA, Burstein J, Burstein R, et al. Incidence and evolution of subependymal and intraventricular hemorrhage: a study of infants with birth weights less than 1,500 gm. J Pediatr. 1978;92:529–534. [DOI] [PubMed] [Google Scholar]
- 24.de Vries LS, Eken P, Dubowitz LM. The spectrum of leukomalacia using cranial ultrasound. Behav Brain Res. 1992;49:1–6. [DOI] [PubMed] [Google Scholar]
- 25.Reddy K, Bekker A, Whitelaw AC, et al. A retrospective analysis of pathogen profile, antimicrobial resistance and mortality in neonatal hospital-acquired bloodstream infections from 2009-2018 at Tygerberg Hospital, South Africa. PLoS One. 2021;16:e0245089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Jiang S, Yang C, Yang C, et al. ; REIN-EPIQ Study Group. Epidemiology and microbiology of late-onset sepsis among preterm infants in China, 2015-2018: a cohort study. Int J Infect Dis. 2020;96:1–9. [DOI] [PubMed] [Google Scholar]
- 27.Joseph CJ, Lian WB, Yeo CL. Nosocomial Infections (Late Onset Sepsis) in the Neonatal Intensive Care Unit (NICU). Proc Singap Healthc. 2012;21:238–244. [Google Scholar]
- 28.Hoque MM, Ahmed A, Halder SK, et al. Morbidities of preterm VLBW neonates and the bacteriological profile of sepsis cases. Pulse. 2010;4:5–9. [Google Scholar]
- 29.Freitas FTM, Araujo AFOL, Melo MIS, et al. Late-onset sepsis and mortality among neonates in a Brazilian Intensive Care Unit: a cohort study and survival analysis. Epidemiol Infect. 2019;147:e208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Salama K, Gad A, El Tatawy S. Sepsis profile and outcome of preterm neonates admitted to neonatal intensive care unit of Cairo University Hospital. Egypt Pediatr Assoc Gaz. 2021;69:8. [Google Scholar]
- 31.Musoke RN, Revathi G. Emergence of multidrug-resistant gram-negative organisms in a neonatal unit and the therapeutic implications. J Trop Pediatr. 2000;46:86–91. [DOI] [PubMed] [Google Scholar]
- 32.Ako-Nai AK, Adejuyigbe EA, Ajayi FM, et al. The bacteriology of neonatal septicaemia in Ile-Ife, Nigeria. J Trop Pediatr. 1999;45:146–151. [DOI] [PubMed] [Google Scholar]
- 33.Shitaye D, Asrat D, Woldeamanuel Y, et al. Risk factors and etiology of neonatal sepsis in Tikur Anbessa University Hospital, Ethiopia. Ethiop Med J. 2010;48:11–21. [PubMed] [Google Scholar]
- 34.West BA, Peterside O. Sensitivity pattern among bacterial isolates in neonatal septicaemia in port Harcourt. Ann Clin Microbiol Antimicrob. 2012;11:7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Madhi SA, Pathirana J, Baillie V, et al. Unraveling specific causes of neonatal mortality using minimally invasive tissue sampling: an observational study. Clin Infect Dis. 2019;69(Suppl 4):S351–S360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ba-Alwi NA, Aremu JO, Ntim M, et al. Bacteriological profile and predictors of death among neonates with blood culture-proven sepsis in a national hospital in Tanzania-a retrospective cohort study. Front Pediatr. 2022;10:797208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zea-Vera A, Ochoa TJ. Challenges in the diagnosis and management of neonatal sepsis. J Trop Pediatr. 2015;61:1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Ran NC, van den Hoogen A, Hemels MAC. Gram-negative late-onset sepsis in extremely low birth weight infants is emerging in the netherlands despite quality improvement programs and antibiotic stewardship! Pediatr Infect Dis J. 2019;38:952–957. [DOI] [PubMed] [Google Scholar]
- 39.Köstlin-Gille N, Härtel C, Haug C, et al. Epidemiology of early and late onset neonatal sepsis in very low birth weight infants: data from the German neonatal network. Pediatr Infect Dis J. 2021;40:255–259. [DOI] [PubMed] [Google Scholar]
- 40.Makhoul IR, Sujov P, Smolkin T, et al. Epidemiological, clinical, and microbiological characteristics of late-onset sepsis among very low birth weight infants in Israel: a national survey. Pediatrics. 2002;109:34–39. [DOI] [PubMed] [Google Scholar]
- 41.Perlman SE, Saiman L, Larson EL. Risk factors for late-onset health care-associated bloodstream infections in patients in neonatal intensive care units. Am J Infect Control. 2007;35:177–182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Nour I, Eldegla HE, Nasef N, et al. Risk factors and clinical outcomes for carbapenem-resistant Gram-negative late-onset sepsis in a neonatal intensive care unit. J Hosp Infect. 2017;97:52–58. [DOI] [PubMed] [Google Scholar]
- 43.Geffers C, Gastmeier A, Schwab F, et al. Use of central venous catheter and peripheral venous catheter as risk factors for nosocomial bloodstream infection in very-low-birth-weight infants. Infect Control Hosp Epidemiol. 2010;31:395–401. [DOI] [PubMed] [Google Scholar]
- 44.Kabwe M, Tembo J, Chilukutu L, et al. Etiology, antibiotic resistance and risk factors for neonatal sepsis in a large referral center in Zambia. Pediatr Infect Dis J. 2016;35:e191–e198. [DOI] [PubMed] [Google Scholar]
- 45.Mellqvist H, Saggers RT, Elfvin A, et al. The effects of exposure to HIV in neonates at a referral hospital in South Africa. BMC Pediatr. 2021;21:485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Jung E, Lee BS. Late-onset sepsis as a risk factor for bronchopulmonary dysplasia in extremely low birth weight infants: a nationwide cohort study. Sci Rep. 2019;9:15448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Zvizdic Z, Heljic S, Popovic N, et al. Contributing factors for development of necrotizing enterocolitis in preterm infants in the neonatal intensive care unit. Mater Socio-Medica. 2016;28:53–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Stichtenoth G, Demmert M, Bohnhorst B, et al. Major contributors to hospital mortality in very-low-birth-weight infants: data of the birth year 2010 cohort of the German Neonatal Network. Klin Padiatr. 2012;224:276–281. [DOI] [PubMed] [Google Scholar]
- 49.Grisaru-Granovsky S, Boyko V, Lerner-Geva L, et al. ; Israel Neonatal Network. The mortality of very low birth weight infants: the benefit and relative impact of changes in population and therapeutic variables. J Matern Fetal Neonatal Med. 2019;32:2443–2451. [DOI] [PubMed] [Google Scholar]
- 50.Ballot DE, Chirwa T, Ramdin T, et al. Comparison of morbidity and mortality of very low birth weight infants in a Central Hospital in Johannesburg between 2006/2007 and 2013. BMC Pediatr. 2015;15:20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Hamese MHK, Mashego MPA, Shipalana N, et al. Factors associated with preterm very low birth weight infant mortality at a tertiary hospital in Limpopo Province, South Africa. South Afr J Child Health. 2020;14:10–14. [Google Scholar]
- 52.Rylance S, Ward J. Early mortality of very low-birthweight infants at Queen Elizabeth Central Hospital, Malawi. Paediatr Int Child Health. 2013;33:91–96. [DOI] [PubMed] [Google Scholar]
- 53.Dong Y, Glaser K, Speer CP. Late-onset sepsis caused by Gram-negative bacteria in very low birth weight infants: a systematic review. Expert Rev Anti Infect Ther. 2019;17:177–188. [DOI] [PubMed] [Google Scholar]
- 54.Woodford EC, Dhudasia MB, Puopolo KM, et al. Neonatal blood culture inoculant volume: feasibility and challenges. Pediatr Res. 2021;90:1086–1092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.World Health Organization. Every Newborn: An Action Plan to End Preventable Deaths. World Health Organization. 2014. Available at: https://apps.who.int/iris/handle/10665/127938. Accessed May 13, 2022. [Google Scholar]
- 56.Transforming our World: The 2030 Agenda for Sustainable Development. Sustainable Development Knowledge Platform. Available at: https://sustainabledevelopment.un.org/post2015/transformingourworld/publication. Accessed May 13, 2022.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.