ArticleBMC infectious diseases2020
Predictive model for bacterial late-onset neonatal sepsis in a tertiary care hospital in Thailand.
Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical Signs Associated With Mortality and Sepsis in Young Infants: A Systematic Review and Meta-Analysis.JAMA pediatrics · 2026Pooled it
- Surveillance of antimicrobial resistance in neonatal intensive care unit of Alexandria University Children's Hospital.Scientific reports · 2026Article
- Aligning neonatal sepsis triage diagnostics with WHO target product profiles in low- and middle-income countries.BMJ global health · 2026Review
- Development and Validation of a Diagnostic Prediction Model for Neonatal Sepsis in a Low-Resource Setting, Ethiopia.Journal of epidemiology and global health · 2025Article
- Development and Validation of a Nosocomial Infection Nomogram Model in the NICU: A Novel and Nurse-Led Way to Prediction in Preterm Infants.Infection and drug resistance · 2025Article
- An Overview of Antibiotic Therapy for Early- and Late-Onset Neonatal Sepsis: Current Strategies and Future Prospects.Antibiotics (Basel, Switzerland) · 2024Review
- Incidence of blood culture-related sepsis in neonates and antibiotics sensitivity of implicated organisms in a secondary healthcare facility in Ghana.Ghana medical journal · 2023Article
- Early Diagnosis of Late-Onset Neonatal Sepsis Using a Sepsis Prediction Score.Microorganisms · 2023Article
- Prevalence and determinants of early onset neonatal sepsis at two selected public referral hospitals in the Northwest Ethiopia: a cross-sectional study.BMC pediatrics · 2023Article
- Catheter-related bloodstream infections in infants hospitalized in neonatal intensive care units: a single center study.Scientific reports · 2022Article
- Predictive Scores for Late-Onset Neonatal Sepsis as an Early Diagnostic and Antimicrobial Stewardship Tool: What Have We Done So Far?Antibiotics (Basel, Switzerland) · 2022Review
- Early-onset neonatal sepsis and antibiotic use in Indonesia: a descriptive, cross-sectional study.BMC public health · 2022Article
- Development and validation of a sepsis diagnostic scoring model for neonates with suspected sepsis.Frontiers in pediatrics · 2022Article
- Performance Comparison of Infection Prediction Scores in a South African Neonatal Unit: A Retrospective Case-Control Study.Frontiers in pediatrics · 2022Article
- The diagnostic and prognostic role of MiRNA 15b and MiRNA 378a in neonatal sepsis.Biochemistry and biophysics reports · 2021Article
- Microbial Patterns and Antibiotic Susceptibility in Blood Culture Isolates of Septicemia Suspected Children in the Pediatrics Ward of a Tertiary Care Hospital.Journal of laboratory physicians · 2021Article
- Risk Factors for Mortality From Late-Onset Sepsis Among Preterm Very-Low-Birthweight Infants: A Single-Center Cohort Study From Singapore.Frontiers in pediatrics · 2021Article
- Diagnostic Accuracy of Clinical Tool 'STOPS' and Serum Procalcitonin for Optimizing Antibiotic Therapy in Neonates Born at ≥ 28 Weeks of Gestation with Neonatal Sepsis.Mediterranean journal of hematology and infectious diseases · 2021Article
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8 authors.
Funding
Abstract
backgroundEarly diagnosis of neonatal sepsis is essential to prevent severe complications and avoid unnecessary use of antibiotics. The mortality of neonatal sepsis is over 18%in many countries. This study aimed to develop a predictive model for the diagnosis of bacterial late-onset neonatal sepsis.
methodsA case-control study was conducted at Queen Sirikit National Institute of Child Health, Bangkok, Thailand. Data were derived from the medical records of 52 sepsis cases and 156 non-sepsis controls. Only proven bacterial neonatal sepsis cases were included in the sepsis group. The non-sepsis group consisted of neonates without any infection. Potential predictors consisted of risk factors, clinical conditions, laboratory data, and treatment modalities. The model was developed based on multiple logistic regression analysis.
resultsThe incidence of late proven neonatal sepsis was 1.46%. The model had 6 significant variables: poor feeding, abnormal heart rate (outside the range 100-180 x/min), abnormal temperature (outside the range 36
conclusionA predictive model and a scoring system were developed for proven bacterial late-onset neonatal sepsis. This simpler tool is expected to somewhat replace microbiological culture, especially in resource-limited settings.
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