Neonatal Sepsis: Etiology, Antimicrobial Susceptibility, and Treatment Outcomes in a Tertiary Hospital in Jos, Nigeria
David Danjuma Shwe, Udochukwu Michael Diala, Patience Ungut Kanhu, Henry Habila, Olushola Emily Jeremiah, Fatima Joy Baba, Ruth Adah, Bose O. Toma, Stephen Oguche, Tina M. Slusher, Beth K. Thielen, Anne M. White

TL;DR
This study examines the causes, antibiotic resistance, and outcomes of neonatal sepsis in a Nigerian hospital, highlighting high mortality and resistance rates.
Contribution
The study provides current data on neonatal sepsis etiology and antimicrobial resistance in a Nigerian setting.
Findings
Gram-positive organisms were more common in neonatal sepsis cases.
Piperacillin–tazobactam showed the highest sensitivity among tested antibiotics.
Mortality was higher in neonates without blood cultures.
Abstract
Sepsis is a leading cause of neonatal mortality. Current knowledge of etiology, antimicrobial susceptibility, and outcomes provides evidence for judicious antimicrobial use. The aim for the present study was to identify etiologic organisms, antimicrobial susceptibility, and treatment outcomes at a tertiary hospital in Jos, Nigeria. A retrospective case review of neonates hospitalized for sepsis was conducted between August 25, 2017 and December 31, 2020. Clinical and laboratory data were collected from 1,984 neonates admitted, of whom 516 (26%) were diagnosed with neonatal sepsis (NNS). The clinical and blood culture data were available for 380 (74%) neonates, of whom 226 (60%) were male. The majority (63%) were diagnosed with early-onset sepsis, of whom 146 (38%) had severe sepsis. The mean age of the mothers was 29.5 ± 5.5 years. Of the 207 cultures obtained, 87 (43%) yielded pure…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| Variable | Frequency ( | Percentage |
|---|---|---|
| Age group of mother (year) | ||
| Less than 20 | 14 | 3.7 |
| 20–34 | 283 | 74.5 |
| ≥35 | 83 | 21.8 |
| Mean age | 29.5 ± 5.5 | – |
| ANC attendance | ||
| No | 25 | 6.6 |
| Yes | 355 | 93.4 |
| Parity | ||
| P1 | 123 | 32.4 |
| P2-4 | 206 | 54.2 |
| Greater than P4 | 51 | 13.4 |
| Highest educational attainment | ||
| No formal education | 32 | 8.4 |
| Primary | 54 | 14.2 |
| Secondary | 143 | 37.6 |
| Tertiary | 151 | 39.7 |
| Place of birth | ||
| Inborn | 172 | 45.3 |
| Out-born | 208 | 54.7 |
| Sex | ||
| Male | 226 | 59.5 |
| Female | 154 | 40.5 |
| Male-to-female ratio | 1.5:1 | – |
| Time to NNS onset | ||
| Early | 241 | 63.4 |
| Late | 139 | 36.6 |
| Gestational age at birth (completed weeks) | ||
| Less than 28 | 21 | 5.5 |
| 28–32 | 62 | 16.3 |
| 33–37 | 72 | 19.0 |
| 38–42 | 216 | 56.8 |
| Greater than 42 | 9 | 2.4 |
| Weight at admission (kg) | ||
| Less than 2.5 | 157 | 41.3 |
| 2.5–3.99 | 193 | 50.8 |
| Greater than 3.99 | 30 | 7.9 |
| Temp. at admission (°C) | ||
| Less than 36.5 | 71 | 18.7 |
| 36.5–37.4 | 184 | 48.4 |
| Greater than 37.4 | 125 | 32.9 |
| RBS at admission | ||
| Normoglycemia | 289 | 76.1 |
| Hyperglycemia | 15 | 3.9 |
| Hypoglycemia | 76 | 20.0 |
| NNS Severity | ||
| Severe | 146 | 38.4 |
| Not severe | 234 | 61.6 |
| Vaccination status at admission | ||
| Vaccinated | 132 | 34.7 |
| Unvaccinated | 248 | 65.3 |
| Symptoms | |||
|---|---|---|---|
| Severity Indicator | Frequency ( | Percentage (%) | Cumulative Percentage (%) |
| Abnormal temperature (>38.0°C or <35.5°C) | 238 | 32.4 | 32.4 |
| Hypoxemia (SpO2 <90%) | 104 | 14.2 | 46.6 |
| Severe anemia | 61 | 8.3 | 54.9 |
| Grunting | 48 | 6.5 | 61.4 |
| Severe respiratory distress (RR <40/minute or >60/minute) | 48 | 6.5 | 67.9 |
| Leukocytosis/leukopenia | 41 | 5.6 | 73.5 |
| Cyanosis | 40 | 5.5 | 79.0 |
| Convulsions | 38 | 5.2 | 84.2 |
| Jaundice | 37 | 5.0 | 89.2 |
| Delayed capillary refill | 29 | 3.9 | 93.1 |
| Coma | 28 | 3.8 | 96.9 |
| Inability to feed | 12 | 1.6 | 98.5 |
| Oliguria: urine output <0.5 mL/kg/hour | 11 | 1.5 | 100 |
| Total | 735 | 100 | 100 |
| Etiologic Agents | Frequency | |
|---|---|---|
| Inborn | Out-born | |
|
| ||
| MSSA | 6 | 6 |
| MRSA | 6 | 7 |
| NOS | 16 | 7 |
|
| 13 | 10 |
| 2 | 2 | |
|
| 0 (0.0) | 3 |
| 0 (0.0) | 2 | |
|
| 1 | 0 (0.0) |
| Total | 44 (100) | 36 (100) |
| Isolated Organism | Isolates | Gentamicin | Piperacillin–tazobactam | Ceftazidime | Amoxicillin–clavulanic acid | Azithromycin | Ciprofloxacin | Imipenem | Chloramphenicol | Ampicillin-cloxacillin | Cefixime | Penicillin | Cefuroxime | Levofloxacin | Oxacillin | Erythromycin | Ceftriaxone | Cotrimoxazole |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gram-positive organisms | ||||||||||||||||||
| MRSA | 6 | 2/3 | – | 0/3 | – | 1/5 | 2/4 | – | 3/3 | – | – | 0/1 | – | – | 0/2 | – | 0/1 | – |
| MSSA | 6 | 3/3 | 2/2 | – | 1/1 | 2/2 | 0/4 | – | 1/3 | – | 2/2 | 0/5 | 1/1 | – | – | – | – | – |
| | 16 | – | – | – | – | 9/9 | 3/7 | – | 4/8 | – | – | 1/6 | – | – | – | – | – | – |
| | 1 | – | 1/1 | – | 0/1 | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Gram-negative organisms | ||||||||||||||||||
| | 2 | 2/2 | 2/2 | – | 0/2 | – | – | – | – | – | 0/2 | – | – | – | – | – | 0/2 | – |
| | 13 | 2/3 | 4/4 | 4/6 | 0/8 | 0/3 | 1/7 | 0/2 | 0/4 | – | – | 0/2 | 0/3 | 1/1 | – | – | 0/4 | – |
| Isolated Organism | Isolates | Gentamicin | Piperacillin–tazobactam | Ceftazidime | Amoxicillin–clavulanic acid | Azithromycin | Ciprofloxacin | Imipenem | Chloramphenicol | Ampicillin–cloxacillin | Cefixime | Penicillin | Cefuroxime | Levofloxacin | Oxacillin | Erythromycin | Ceftriaxone | Cotrimoxazole |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gram-positive organisms | ||||||||||||||||||
| MRSA | 6 | 4/4 | – | 0/2 | 0/2 | 2/6 | 4/4 | – | 2/2 | – | – | – | 0/2 | – | – | – | – | – |
| MSSA | 6 | 4/6 | 2/2 | 1/1 | 1/1 | 2/6 | 2/4 | 2/2 | 1/1 | – | – | 0/1 | 2/2 | – | – | 0/1 | 1/1 | – |
| | 7 | 1/1 | 2/2 | 2/2 | 1/2 | 1/1 | 0/1 | – | – | – | – | – | 0/2 | – | – | – | – | – |
| Gram-negative organisms | ||||||||||||||||||
| | 3 | 1/1 | – | 3/3 | 1/2 | – | 3/3 | – | – | – | 1/1 | – | 0/1 | 1/1 | – | – | 0/1 | – |
| | 2 | – | 2/2 | 0/2 | – | – | 0/2 | 0/2 | – | – | 0/2 | – | – | – | – | – | – | – |
| | 10 | 0/2 | 2/2 | 3/3 | 0/5 | 0/2 | 2/4 | — | – | 0/2 | 1/1 | – | 0/2 | 1/3 | – | – | 0/2 | – |
| | 2 | 2/2 | 2/2 | 0/2 | 2/2 | – | 0/2 | 2/2 | – | – | – | – | – | – | – | – | – | – |
| Isolated Organism | Isolates | Gentamicin | Piperacillin–tazobactam | Ceftazidime | Amoxicillin–clavulanic acid | Azithromycin | Ciprofloxacin | Imipenem | Chloramphenicol | Ampicillin–cloxacillin | Cefixime | Penicillin | Cefuroxime | Levofloxacin | Oxacillin | Erythromycin | Ceftriaxone | Cotrimoxazole |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gram-positive organisms | ||||||||||||||||||
| | 3 | – | – | – | – | 0/1 | 0/3 | – | 0/3 | – | – | 0/3 | – | – | – | – | – | – |
| Gram-negative organisms | ||||||||||||||||||
| | 4 | – | – | 4/4 | 0/4 | 0/4 | 0/4 | – | 0/2 | – | – | 0/2 | – | – | 0/2 | – | – | – |
| Variable | Inborn Mortality | Out-born Mortality | Total | |
|---|---|---|---|---|
| Blood culture | Positive | 3 (9.1) | 5 (13.2) | 8 (11.3) |
| Negative | 8 (24.2) | 16 (42.1) | 24 (33.8) | |
| Not performed | 22 (66.7) | 17 (44.7) | 39 (54.9) | |
| Total | 33 (100) | 38 (100) | 71 (100) |
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Taxonomy
TopicsNeonatal and Maternal Infections · Sepsis Diagnosis and Treatment · Preterm Birth and Chorioamnionitis
INTRODUCTION
Neonatal sepsis (NNS) is one of the leading causes of neonatal mortality globally, accounting for nearly 780,000 of the 3 million annual deaths.1 Survivors of severe NNS have an increased risk of compromised quality of life due to cerebral palsy and neurodevelopmental delays.2 Compared with high-income countries, resource-limited countries disproportionately bear the greatest burden of NNS-related morbidity and mortality,3 suggesting disparity in access to preventive, diagnostic, and therapeutic services for these neonates. The incidence of NNS in Nigeria remains at 39 per 1,000 live births, ranking among the highest in the world.4
Neonatal sepsis is classified as early-onset or late-onset. Early-onset sepsis occurs within 72 hours of birth, usually resulting from pathogens acquired maternally following chorioamnionitis, peripartum pyrexia, or untreated prolonged rupture of fetal membranes. Conversely, late-onset sepsis occurs at least 72 hours after birth, with etiology largely due to nosocomial infections, including those associated with indwelling catheters and community-acquired pathogens.5^,^6 The etiology of NNS differs substantially across geographic areas, as reported by Downie et al. and Okomo et al. in a systematic review and meta-analysis of studies from 26 countries across sub-Saharan Africa involving more than 80,000 neonates. The results revealed a predominance of Staphylococcus aureus (S. aureus), Klebsiella spp., and Escherichia coli (E. coli), unlike in high-income countries, where group B Streptococcus was the predominant organism.7^,^8
Multidrug-resistant (MDR) pathogens, including methicillin-resistant S. aureus (MRSA), have long been identified as a public health threat to newborn health and survival.9 The diagnosis and management of NNS is challenging in many resource-limited settings because of the lack of laboratory capacity to perform specific, accurate, and timely laboratory testing, including cultures, to guide therapy.1?^–^3
In a 2004 study of 122 neonates with clinical suspicion of sepsis in Jos, north-central Nigeria, 66 (54.1%) positive culture results were obtained; S. aureus was the predominant Gram-positive isolate in 42 (36.8%) cultures, and 72 (63.2%) cultures resulted in the growth of Gram-negative isolates, predominantly E. coli. Most isolates in the 2004 study were sensitive to gentamicin and resistant to cephalosporins.9 In 2015, a similar study conducted in Jos revealed a lower rate of positive cultures (34.4%).10 In the 2015 study, Gram-positive isolates, predominantly S. aureus, made up 41.3% of cases, whereas Klebsiella pneumoniae (K. pneumoniae) was identified in 58.7% of cases. The same study revealed MDR coagulase-negative Staphylococcus culture rates of 26.1%, and MRSA was identified in an additional 60% of cases.10 The clinical outcomes of NNS were not examined in relation to the observed bacterial phenotypes in either the 2004 or 2015 study.
Current data on culture-proven NNS, antimicrobial susceptibility, and NNS treatment outcomes among hospitalized neonates in the study area are significantly lacking. These data are required to inform evidence-based treatment decisions. In the present study, it was hypothesized that etiologic isolates of NNS and their antimicrobial resistance profile in Jos, Nigeria, would not differ substantially from previously reported phenotypes.
MATERIALS AND METHODS
Design and site of the study.
The present single hospital-based study included a retrospective review of data collected over 40 months (August 25, 2017 to December 31, 2020) and involved newborns who presented and were hospitalized for NNS at the neonatology unit of Jos University Teaching Hospital (JUTH) in Jos, Nigeria. Jos University Teaching Hospital is a 600-bed tertiary hospital in Plateau State, north-central Nigeria, that serves as a major regional referral center. It receives referrals from the neighboring states of Bauchi, Nasarawa, Taraba, Benue, and Southern Kaduna, which together have a combined population of more than 13 million people.11 The JUTH neonatal unit has a 30-bed capacity and manages neonates born at JUTH and those born outside the hospital (e.g., at home, a health clinic, another hospital, or another site).
Study population.
The current study included all neonates aged 0–28 days who were admitted to the neonatal unit for NNS. Neonates who received antibiotics before admission were excluded.
Microbiological sample collection.
As is standard practice, a minimum of 1–3 mL of blood was obtained from each study participant for culture from a peripheral vein under aseptic precautions; after collection, the sample was shaken and then immediately transported to the laboratory. Samples were registered and processed on arrival at the laboratory. Blood samples were incubated in a blood culture machine (BACTEC-9050, Becton, Dickinson and Company, Franklin Lakes, NJ). This semiautomatic system flags red and emits a sound when growth is detected in blood cultures. Positive cultures were subsequently subcultured.
Enriched media for subculture included sheep blood, MacConkey, and chocolate agar plates. Media were inoculated, incubated at 37°C, and examined for growth after 24–48 hours. Isolates were identified via Gram stain, colony morphology, and biochemical properties, including catalase, DNAse agar, mannitol salt agar, and hemolysis, as appropriate. Triple sugar iron, lysine iron agar, motility indole, ornithine, citrate, urease, and oxidase were used for Gram-negative bacilli.12 All media and biochemical reactions were quality-assured and -controlled according to American Type Culture Collection standards.13
Antibiotic susceptibility tests were performed using the Kirby–Bauer disk diffusion method, as specified by the Clinical and Laboratory Standards Institute.14 The inhibition zones were measured and interpreted in accordance with the Clinical and Laboratory Standards Institute’s recommendations.15 Multidrug-resistant bacteria were defined as those resistant to three or more antimicrobial classes.12 A fixed number of antimicrobials were tested against each isolate identified, according to local laboratory protocol and based on availability.
Treatment of neonates with sepsis.
Neonates born at JUTH and admitted for NNS initially received ampicillin and ceftazidime combination therapy. Neonates born outside of JUTH initially received ampicillin and gentamicin combination therapy. Antibiotics were continued while awaiting the return of blood culture results from the hospital’s main laboratory. The turnaround time for blood culture was 2–7 days. The first-line antimicrobials could be changed to second-line antimicrobials (e.g., ciprofloxacin plus gentamicin) in the absence of clinical evidence of improvement despite adequate therapeutic doses of the initial antibiotics; these decisions were guided by a previous unit antibiogram and United Nations Children’s Fund Recommendations on Sepsis Diagnostics.14
Study outcomes.
The primary outcome was the number of culture-proven cases of NNS. The secondary outcomes included the identification of etiologic agents of NNS, antimicrobial susceptibility profiles of the isolates, and NNS treatment outcomes.
Definition of key terms.
Neonatal sepsis was diagnosed by treating physicians on the basis of clinical and laboratory diagnostic criteria, including a history of either fever (≥37.5°C) or hypothermia (≤35.5°C), fast breathing (≥60 breaths per minute), not feeding well, severe chest in-drawing, movement only when stimulated, convulsion, lethargy, or unconsciousness, a history of maternal risk factors, and laboratory studies such as blood culture, total leukocyte count (<5.0 × 10^9^ cells/L or >20.0 × 10^9^ cells/L), absolute neutrophil count (<2.0 × 10^9^ cells/L), platelet count (<150 × 10^9^ cells/L), and cerebrospinal fluid analysis.16
Gestational age was determined using the mother’s last menstrual period, an early ultrasound scan, or a modified Ballard score. Prematurity was defined as a gestational age of <37 completed weeks. Term was defined as a gestational age of 37 to 42 completed weeks, and post-term was defined as a gestational age of >42 completed weeks.
Severe NNS (presumed) was defined on the basis of the WHO’s integrated management of childhood illness severity indicator, which is characterized by the presence of one or more of the following symptoms: abnormal temperature (>38.0°C or <35.5°C), hypoxemia (oxygen saturation of <90% in room air while awake), severe anemia (as defined by age), grunting, severe respiratory distress (respiratory rate of <40 breaths/minute or >60 breaths/minute), leukocytosis/leukopenia (as defined by age), cyanosis, convulsions, jaundice, delayed capillary refill, coma, inability to feed, oliguria (urine output of <0.5 mL/kg/hour).17^,^18
Culture-proven bloodstream infection (sepsis) was defined as a positive blood culture result in the presence of clinical signs and symptoms of infection. Probable sepsis was defined as the presence of clinical signs and symptoms, along with at least two abnormal laboratory results with negative blood culture results. Possible sepsis was defined as the presence of clinical signs and symptoms of infection, accompanied by increased C-reactive protein or interleukin (IL)-6/IL-8 levels, in the absence of a positive blood culture result. Sepsis was not diagnosed without clinical signs and symptoms of infection or abnormal laboratory results.19 Presumed sepsis is the working diagnosis for a neonate who presents with features consistent with NNS before a confirmed diagnosis.
Data abstraction.
Data abstraction was performed by three co-investigators and two trained research assistants. These research assistants were trained by the lead investigator. For mothers of inborn neonates, any missing maternal records of interest from the unit admission register were retrieved from the mother’s clinical document to update the data collection tool. On average, 30–45 medical records for mothers of inborn neonates were retrieved each week. Any mother–neonate dyad with missing medical records that were deemed significant was excluded. To ensure accuracy and completeness, abstracted data were double-checked by the investigators.
Data collection tool.
A semi-structured proforma (Supplemental Information) was adapted on the basis of the reviewed literature related to NNS and its known risk factors.20 The data collection tool consisted of two sections: Section A, which included biodata, obstetric characteristics, neonatal characteristics, and anthropometric measures, and Section B, which included maternal and family characteristics. Neonatal characteristics included neonatal age and gestational age at admission, sex, birthweight (kg), at-birth vaccination status, admitting diagnosis, known risk factors for sepsis, temperature, admission random blood glucose, sepsis screen results, and duration of hospitalization. Maternal and family characteristics included maternal age (years), highest educational attainment, parity, mode of delivery, place of delivery (inborn or out-born), antenatal clinic attendance, hypertensive and bleeding disorders of pregnancy, HIV, Hepatitis B virus, and Hepatitis C virus status, urinary tract infection or sexually-transmitted infection in pregnancy, prolonged rupture of membranes, chorioamnionitis, history of previous baby (or babies) with omphalitis or NNS, and history of deceased neonates.
Data processing.
Medical records were serialized by date and coded as culture-positive, culture-negative, or culture not performed. They were double-checked for accuracy and completeness. The data were entered into an Excel spreadsheet (Microsoft Corp., Redmond, WA) and then exported to SPSS version 23.0 (1989, 2015; IBM Corp., Armonk, NY) for analysis. Medical records were reviewed between August 17, 2017 and December 31, 2020, and data extraction was completed within 6 weeks after the end of the review period.
STATISTICAL ANALYSES
Sociodemographic, obstetric, and perinatal characteristics of the neonates and their mothers were expressed as frequencies and percentages. The mean ± SD was presented as a summary index for neonates’ and their mothers’ ages when data were normally distributed; median and interquartile range were used for data that did not meet the assumptions of normality. Qualitative variables were described using frequencies and proportions and then presented in tables. Pearson’s χ^2^ test was used to test associations between categorical variables. All tests of significance were two-tailed. A significance level of P <0.05 indicated a statistically significant difference.
RESULTS
Of a total of 516 hospitalizations for NNS, data were available for 380 (74%), which were included in the analysis. A total of 77 (15%) were excluded because of incomplete maternal data, and 59 (11%) were excluded because of incomplete clinical and laboratory data. The mean age of mothers was 29.5 ± 5.5 years, with the majority (283/380; 75%) being aged 20–34 years. Most neonates (241/380, 63%) were admitted within 72 hours of life with early onset NNS, and 226/380 (60%) were male (Table 1).
The study team monitored the enrolled neonates for 14 sepsis symptom severity indicators, as outlined in the WHO Integrated Management of Childhood Illness guide.18 Abnormal axillary temperature (>38.0°C or <35.5°C) was observed in the majority (238/380; 32%) of neonates diagnosed with severe sepsis at admission. In addition, laboratory evidence of acute kidney injury (oliguria) was documented in 11/380 (3%) of the studied neonates (Table 2).
Sepsis etiology.
Of a total of 380 neonates whose records were available for analysis, blood culture specimens were collected and processed for 207 (55%), of which 87 (42%) yielded positive results. Blood cultures were not performed on 173 neonates for various reasons, including the inability of parents to pay for the culture, unavailable blood culture bottles, early deaths before the procedure could be completed, or the physician’s failure to order a blood culture. Antibiotic sensitivity data were not available for 12 cases with positive culture results. Of the 87 culture-proven sepsis cases, 50 (58%) were Gram-positive; among these, the predominant organism was S. aureus (28/44; 64%) for neonates born at JUTH and 19/36 (53%) for those born outside of JUTH. Of all S. aureus isolates, 6/28 (21%) and 6/19 (32%) were due to MRSA for neonates born at JUTH and outside of JUTH, respectively. A total of 36/87 (41%) Gram-negative isolates were identified, with K. pneumoniae being the predominant isolate (27/87; 31%). Streptococcus pneumoniae was the least common etiologic agent isolated (1/87, 1%) and was found in one neonate born at JUTH (Table 3). A total of 120 of 207 blood cultures that were sent (58%) yielded negative results in neonates with clinical signs consistent with probable sepsis.
Sensitivities.
The 12 methicillian-sensitive S. aureus (MSSA) isolates detected exhibited the greatest sensitivity (>80%) to gentamicin, ceftriaxone, cefixime, cefuroxime, piperacillin–tazobactam, amoxicillin–clavulanic acid, and imipenem. The 12 MRSA isolates detected exhibited the greatest sensitivity (>80%) to gentamicin and chloramphenicol. The single positive Streptococcus isolate exhibited 100% sensitivity to piperacillin–tazobactam and amoxicillin–clavulanic acid (Tables 4?–6).
The Klebsiella spp. isolates exhibited sensitivity (>80%) to ceftazidime and piperacillin–tazobactam. A similar pattern of reduced antimicrobial sensitivity was observed in Citrobacter spp., which were sensitive only to gentamicin and piperacillin–tazobactam. Escherichia coli isolates exhibited >80% sensitivity to gentamicin, ceftazidime, cefixime, levofloxacin, and ciprofloxacin. The two Enterobacter spp. isolates exhibited >80% sensitivity to gentamicin, piperacillin–tazobactam, amoxicillin–clavulanic acid, and imipenem (Tables 4?–6).
Risk factors for neonatal mortality.
Of a total of 71 cases that resulted in mortality, eight (11%) had culture-proven sepsis. A statistically significant negative correlation between culture-proven sepsis and mortality events was observed (regression coefficient = –0.137; P = 0.007; Table 7). In addition, the availability of culture-proven sepsis test results significantly reduced the likelihood of sepsis mortality (χ^2^ = 4.101; degree of freedom = 1; P = 0.043).
DISCUSSION
Nearly one-third of neonatal admissions at a tertiary referral hospital with a dedicated NICU located in north-central Nigeria were diagnosed with NNS. Staphylococcus aureus was the etiologic agent in more than half of culture-proven sepsis cases. Overall, fewer than half of the blood culture tests yielded positive results. The majority of neonates received empirical broad-spectrum antimicrobials without blood culture results because of their families’ inability to pay for laboratory services or supply chain issues resulting in a lack of available blood culture bottles. As in other studies from sub-Saharan Africa, a substantial proportion of positive isolates exhibited antibiotic resistance.7 The neonatal mortality rate due to proven and suspected sepsis in the present study was unacceptably high. The findings of the current study have significant clinical practice and policy implications for both neonatologists and healthcare managers.
The rate and severity of NNS were high in the present study and in other studies conducted in Nigeria, including those from Abeokuta, Gwagwalada, and Gusau, making this an important public health concern.20?^–^22 Neonatal sepsis is the third leading cause of neonatal mortality in low- and middle-income countries (LMICs) like Nigeria, where infrastructure for disease surveillance and diagnostics is significantly lacking.1 Compared with older children, neonates, especially preterm ones, are immune-naïve, making them more susceptible to infections.23
Although the etiologic agents of NNS identified in the present study were diverse, several organisms were established as the most commonly found. In more than half of culture-proven cases, Gram-positive bacteria were predominant, with S. aureus being the most common. Almost 25% of the isolates were either MSSA or MRSA, whereas 50% were S. aureus not otherwise specified. In developed countries, both MSSA and MRSA have caused outbreaks in neonatal intensive care settings, indicating the need for rigorous infection prevention and other approaches to reduce the risk of hospital-acquired infections with this organism.24?^–^26 Enterobacter spp. have long been recognized as having an ampC gene that confers inducible resistance to commonly used, safe, and affordable therapeutic agents such as penicillin and cephalosporins.10^,^27 Klebsiella spp., a Gram-negative organism, was the predominant isolate among nearly one-third of the etiologic agents of sepsis identified in the present study.
In this study setting, as in most LMIC settings,28 it is standard of care to commence antibiotics for neonates with suspected severe NNS, guided by previously established bacteriologic profiles. This clinical practice is increasingly problematic in the face of drastically increasing antibiotic resistance. In addition, studies have clearly revealed that inappropriate antibiotic use increases the risk of the emergence and spread of antimicrobial resistance, colonization by resistant pathogens, necrotizing enterocolitis, wheezing, and obesity in later childhood.27????^–^32 Active surveillance and metagenomics studies are urgently needed to better understand the intraspecies diversity of MDR phenotypes and reduce neonatal morbidity and mortality, the duration of hospitalization, and the duration of antibiotic treatment. Reversing the current trend of MDR progression is necessary to prolong the therapeutic usefulness of available, reasonably priced antimicrobials and decrease the development of further resistance.
The diagnosis and management of NNS is complex and challenging in resource-limited settings like Jos, Nigeria. This is particularly true given the nonspecific symptoms and signs of NNS, coupled with universal guidelines for therapy in the absence of adequate laboratory infrastructure for accurate and time-sensitive diagnostics. Frequent inability to perform blood cultures because of parents’ lack of funds or the unavailability of blood culture bottles results in fewer blood cultures being performed.33 Even when blood cultures are performed, interpretation of these findings is limited by incomplete sensitivity data, which is at least in part related to frequent stock-outs of critical laboratory reagents and consumables, including antibiotic-impregnated disks. Previous work from Kenya revealed that treatment decisions for only 0.1% of patients prescribed antimicrobials were based on antimicrobial susceptibility testing.34 Improving access to blood culture in LMICs requires pragmatic thinking, and manufacturers have a responsibility to consider LMIC contexts and improve accessibility, such as by extending shelf lives and testing performance under different climatic conditions.35?^–^37 These constraints are reflected in the high proportion of neonates diagnosed with “probable” or “presumed” sepsis and the lack of blood culture results for the majority of neonates in the present study. Point-of-care diagnostics for sensitive sepsis biomarkers, such as C-reactive protein, procalcitonin, IL-6, IL-8, and, more recently, next-generation sequencing-based pathogen detection, could potentially serve as reliable alternatives to blood cultures in neonates; however, further studies are needed.36 These biomarkers are routinely used in high-income countries, where they are more widely available and used to help guide NNS treatment.38 These findings further highlight the need to expand diagnostic access to healthcare services in LMICs to improve equity in neonatal health and survival.
Mortality events were more than threefold higher among neonates for whom blood cultures were not performed compared with those for whom blood cultures were performed. The availability of culture-proven sepsis tests significantly reduced the likelihood of NNS-mortality events. This finding could be related to the ability to tailor antimicrobial treatment to the specific organism responsible in cases with a known bacterial etiology of sepsis. Other explanations include that families unable to pay for blood cultures may live in greater poverty than those able to afford them, contributing to worse overall health among neonates and an increased overall risk of mortality. Finding creative and sustainable ways to fund blood cultures and laboratory testing, including biomarker identification, even when families cannot pay, is likely to reduce neonatal mortality. In addition, it may reduce costs through targeted and appropriate medication therapy and decreased hospital length of stay.
Compared with MSSA, fewer effective therapeutic options were available for MRSA, as expected. Limited therapeutic options were also available for Klebsiella spp., Citrobacter spp., and Enterobacter spp. Proven infection prevention interventions, such as optimal adherence to hand hygiene practices by healthcare workers, may reduce nosocomial transmission of infections and halt further spread of resistant pathogens; this is essential for prolonging the therapeutic usefulness of available, safe, and affordable antimicrobials in LMICs.
Compared with previous studies conducted in Jos, the 43% blood culture-positive rate in the present study was lower than 54% reported in 2004 but higher than 34% reported in 2015.9^,^10 Staphylococcus aureus remains the predominant Gram-positive isolate, whereas K. pneumoniae and E. coli are still the most common Gram-negative bacterial etiologies, as shown in previous studies conducted in the area.9^,^10 These observations support the earlier hypothesis stating that the etiologic agents for NNS in Jos, Nigeria, are similar to previously identified organisms. In addition, antimicrobial sensitivity remained similar, with gentamicin among the most effective agents in both previous studies and the current study.
Both etiology and antimicrobial susceptibility profiles from the present study support previous reports from Kano, northwest Nigeria, but differ significantly from those of a similar study conducted in south Nigeria, where ofloxacin-resistant K. pneumoniae was isolated as the most common bacterial etiology for NNS.20^,^38 Similar NNS etiologies were reported in South Africa and Uganda, where Staphylococcus spp. (one-third of which were MRSA), extended-spectrum beta-lactamase K. pneumoniae, Enterococci spp., and E. coli were the most frequently identified isolates. In addition, the authors of previous studies isolated Acinetobacter baumannii and fluconazole-resistant Candida parapsilosis, which were not found in the present study.39^,^40
In Southeast Asia, nearly two-thirds of isolates were Gram-negative pathogens (including K. pneumoniae and E. coli), whereas 46.5% were MRSA. This report differed significantly from the present study.41 The reason for these differences remains unclear.
The observed neonatal mortality rate for culture-proven sepsis in the current study is high, but it is comparable to that of studies conducted in different parts of Nigeria, ranging from 6.6% reported in Gusau, northern Nigeria, to 37.9% reported in northwest Nigeria.20^,^21^,^42???^–^46 This disparity may be due to disparities in access to specialized newborn diagnostics and preventive care services within Nigeria, as well as differences in place of delivery, cultural practices, and access to newborn–maternal health information. Furthermore, the definition of sepsis and its severity may also play an important role. Additionally, whereas NNS mortality was classified by onset time and cause-specific mortality in the studies cited above, culture-proven sepsis was compared with all-cause mortality in the current study.
As noted above, the present study was limited by the fact that blood cultures were not performed for a significant proportion of neonates treated for sepsis. Additionally, the use of antibiograms was limited to what was available at the microbiology laboratory and was not tailored specifically to neonates. These considerations, as well as decisions regarding empirical antibiotic therapy, can be better assessed in the context of a future prospective study.
Observations from the present study provide critical information for clinicians, policy actors, and healthcare managers regarding the diagnosis and management of NNS in the study setting. For clinicians, therapeutic decisions should be guided by current antimicrobial profiles based on blood culture results. In addition, blood cultures should be requested before antibiotics are started, and the cost should be covered by the hospital to avoid placing a burden on families. For healthcare managers and policy actors, substantial investment should be made in laboratory infrastructure to expand access to diagnostics and limit excess NNS-attributable mortality due to probable and unproven sepsis. Collaboration among international partners and colleagues in LMICs should be focused on creative and sustainable solutions. International corporations must partner with organizations on the ground in LMICs to develop strategies to address challenges related to cost and access to essential diagnostics.
CONCLUSION
The current study provides evidence to assist local clinicians and healthcare managers in guiding NNS treatment decisions in Jos, Nigeria, in many LMICs, and possibly in high-income countries worldwide. Up-to-date epidemiologic data, such as those provided in the present study, are also helpful in increasing the global body of evidence on the prevalence, etiology, and antimicrobial susceptibility of NNS worldwide. The current study also highlights the need for biomarkers, metagenomic studies, and other novel testing to improve the diagnosis and treatment of sepsis and improve neonatal outcomes.
Supplemental Materials
10.4269/ajtmh.24-0127Supplemental Materials
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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