Observational studyThe Lancet. Infectious diseases2021
Effects of antibiotic resistance, drug target attainment, bacterial pathogenicity and virulence, and antibiotic access and affordability on outcomes in neonatal sepsis: an international microbiology and drug evaluation prospective substudy (BARNARDS).
Observational study in The Lancet. Infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 6 of them syntheses that pooled it.
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Who cites it
78 citing papers in PubMed, 6 syntheses or guidelines pooled it, 126 citations in OpenAlex.
- Pooled it
- Antibiotic strategies for neonatal sepsis: navigating efficacy and emerging resistance patterns.European journal of pediatrics · 2025Pooled it
- Prevalence of carbapenem-resistant gram-negative bacteria among neonates suspected for sepsis in Africa: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Prevalence and clonal diversity of carbapenem-resistant Klebsiella pneumoniae causing neonatal infections: A systematic review of 128 articles across 30 countries.PLoS medicine · 2023Pooled it
- The Role of Virulence Factors in Neonatal Sepsis Caused by Enterobacterales: A Systematic Review.International journal of molecular sciences · 2022Pooled it
- Gram-negative neonatal sepsis in low- and lower-middle-income countries and WHO empirical antibiotic recommendations: A systematic review and meta-analysis.PLoS medicine · 2021Pooled it
- Zinc as adjunct treatment for clinical severe infection in young infants: A randomized double-blind placebo-controlled trial in India and Nepal.PLoS medicine · 2025Trial
- Combatting a Tobramycin-resistant Staphylococcus aureus outbreak in a neonatal intensive care unit: the impact of hygiene intervention and antibiotic substitution.BMC infectious diseases · 2026Article
- Machine Learning-Based Prediction of Culture-Confirmed Neonatal Sepsis in a Tertiary Neonatal Intensive Care Unit: Retrospective Cohort Study.JMIR medical informatics · 2026Article
- Village-level surveillance of neonatal disease with integrated real-time dashboards and quality-control in Uganda.medRxiv : the preprint server for health sciences · 2026Article
- Evolution of Antimicrobial Resistance in Neonatal Sepsis: A Narrative Review.Antibiotics (Basel, Switzerland) · 2026Review
- Temporal trends and patterns in neonatal sepsis mortality across 194 countries, 2000-2021, with projections up to 2050.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Genomic analysis ofbioRxiv : the preprint server for biology · 2026Article
- Epidemiology, Temporal Trends and Resistance Patterns of ESBL-Producing Non-TyphoidalAntibiotics (Basel, Switzerland) · 2026Article
- Extensively drug-resistant gram-negative sepsis in a neonatal intensive care unit from western India: A retrospective cohort study.The Indian journal of medical research · 2026Article
- The Global Impact of Sepsis: Epidemiology, Recognition, Management, and Health System Challenges.Epidemiologia (Basel, Switzerland) · 2026Review
- Article
- Systems biology approaches to unravelling neonatal sepsis and potential for precision diagnostics and therapeutics.Frontiers in pharmacology · 2026Review
- Klebsiella vaccine research and development in Africa: a rapid scoping review of current evidence and future priorities.BMJ public health · 2026Article
- Clinical and laboratory parameters associated with bloodstream infections among neonates admitted to a tertiary hospital in Tanzania: a hospital-based cross-sectional study.Frontiers in pediatrics · 2026Article
18 more citing papers are in PubMed but not listed here.
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Authors and funding
39 authors at 19 institutions in 12 countries.
Funding
Abstract
backgroundSepsis is a major contributor to neonatal mortality, particularly in low-income and middle-income countries (LMICs). WHO advocates ampicillin-gentamicin as first-line therapy for the management of neonatal sepsis. In the BARNARDS observational cohort study of neonatal sepsis and antimicrobial resistance in LMICs, common sepsis pathogens were characterised via whole genome sequencing (WGS) and antimicrobial resistance profiles. In this substudy of BARNARDS, we aimed to assess the use and efficacy of empirical antibiotic therapies commonly used in LMICs for neonatal sepsis.
methodsIn BARNARDS, consenting mother-neonates aged 0-60 days dyads were enrolled on delivery or neonatal presentation with suspected sepsis at 12 BARNARDS clinical sites in Bangladesh, Ethiopia, India, Pakistan, Nigeria, Rwanda, and South Africa. Stillborn babies were excluded from the study. Blood samples were collected from neonates presenting with clinical signs of sepsis, and WGS and minimum inhibitory concentrations for antibiotic treatment were determined for bacterial isolates from culture-confirmed sepsis. Neonatal outcome data were collected following enrolment until 60 days of life. Antibiotic usage and neonatal outcome data were assessed. Survival analyses were adjusted to take into account potential clinical confounding variables related to the birth and pathogen. Additionally, resistance profiles, pharmacokinetic-pharmacodynamic probability of target attainment, and frequency of resistance (ie, resistance defined by in-vitro growth of isolates when challenged by antibiotics) were assessed. Questionnaires on health structures and antibiotic costs evaluated accessibility and affordability.
findingsBetween Nov 12, 2015, and Feb 1, 2018, 36 285 neonates were enrolled into the main BARNARDS study, of whom 9874 had clinically diagnosed sepsis and 5749 had available antibiotic data. The four most commonly prescribed antibiotic combinations given to 4451 neonates (77·42%) of 5749 were ampicillin-gentamicin, ceftazidime-amikacin, piperacillin-tazobactam-amikacin, and amoxicillin clavulanate-amikacin. This dataset assessed 476 prescriptions for 442 neonates treated with one of these antibiotic combinations with WGS data (all BARNARDS countries were represented in this subset except India). Multiple pathogens were isolated, totalling 457 isolates. Reported mortality was lower for neonates treated with ceftazidime-amikacin than for neonates treated with ampicillin-gentamicin (hazard ratio [adjusted for clinical variables considered potential confounders to outcomes] 0·32, 95% CI 0·14-0·72; p=0·0060). Of 390 Gram-negative isolates, 379 (97·2%) were resistant to ampicillin and 274 (70·3%) were resistant to gentamicin. Susceptibility of Gram-negative isolates to at least one antibiotic in a treatment combination was noted in 111 (28·5%) to ampicillin-gentamicin; 286 (73·3%) to amoxicillin clavulanate-amikacin; 301 (77·2%) to ceftazidime-amikacin; and 312 (80·0%) to piperacillin-tazobactam-amikacin. A probability of target attainment of 80% or more was noted in 26 neonates (33·7% [SD 0·59]) of 78 with ampicillin-gentamicin; 15 (68·0% [3·84]) of 27 with amoxicillin clavulanate-amikacin; 93 (92·7% [0·24]) of 109 with ceftazidime-amikacin; and 70 (85·3% [0·47]) of 76 with piperacillin-tazobactam-amikacin. However, antibiotic and country effects could not be distinguished. Frequency of resistance was recorded most frequently with fosfomycin (in 78 isolates [68·4%] of 114), followed by colistin (55 isolates [57·3%] of 96), and gentamicin (62 isolates [53·0%] of 117). Sites in six of the seven countries (excluding South Africa) stated that the cost of antibiotics would influence treatment of neonatal sepsis.
interpretationOur data raise questions about the empirical use of combined ampicillin-gentamicin for neonatal sepsis in LMICs because of its high resistance and high rates of frequency of resistance and low probability of target attainment. Accessibility and affordability need to be considered when advocating antibiotic treatments with variance in economic health structures across LMICs.
fundingThe Bill & Melinda Gates Foundation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.