Daily Sepsis Research Analysis
Three impactful sepsis-related studies stood out today: a Cochrane review shows single-dose intrapartum antibiotics probably reduce maternal sepsis without clear neonatal benefit; a nationwide Taiwanese case-control study identifies key maternal and delivery risk factors for early-onset neonatal sepsis; and a large MIMIC-IV analysis proposes an early-identification model for sepsis-induced coagulopathy with a signal for benefit from early heparin. Together, they advance prevention and early-risk
Summary
Three impactful sepsis-related studies stood out today: a Cochrane review shows single-dose intrapartum antibiotics probably reduce maternal sepsis without clear neonatal benefit; a nationwide Taiwanese case-control study identifies key maternal and delivery risk factors for early-onset neonatal sepsis; and a large MIMIC-IV analysis proposes an early-identification model for sepsis-induced coagulopathy with a signal for benefit from early heparin. Together, they advance prevention and early-risk stratification.
Research Themes
- Maternal sepsis prevention during labor
- Early identification of coagulopathy risk in sepsis
- Perinatal risk stratification for early-onset neonatal sepsis
Selected Articles
1. Effects of antibiotic prophylaxis during labour on maternal and neonatal outcomes in women planning vaginal birth.
Across four RCTs (n=42,846), a single-dose intrapartum antibiotic regimen (mostly azithromycin, one trial azithromycin+amoxicillin) probably reduces maternal sepsis (RR 0.65, 95% CI 0.56–0.77) with little to no effect on neonatal sepsis or mortality. Evidence on antimicrobial resistance suggests short-term increases without persistent differences at 11–13 months.
Impact: High-quality synthesis with large RCT data provides actionable evidence to prevent maternal sepsis during labor while highlighting antimicrobial resistance uncertainties.
Clinical Implications: Consider single-dose intrapartum antibiotic prophylaxis policies in appropriate settings to reduce maternal sepsis, paired with antimicrobial stewardship and AMR surveillance. Counseling should stress likely maternal benefit and uncertain neonatal impact.
Key Findings
- Antibiotic prophylaxis during labor probably reduces maternal sepsis (RR 0.65, 95% CI 0.56–0.77).
- Little to no effect on neonatal sepsis, neonatal mortality, perineal wound infection, or NICU admission.
- Short-term increases in resistant organisms were observed in some samples, but no persistent differences by 11–13 months.
Methodological Strengths
- Cochrane-standard methodology with comprehensive search, RoB 2 assessment, and GRADE certainty rating.
- Random-effects meta-analysis with large aggregate sample size (n=42,846) across LMIC settings.
Limitations
- Heterogeneity in settings and antibiotic regimens; most trials evaluated azithromycin, limiting generalizability to other agents.
- Antimicrobial resistance outcomes remain uncertain beyond short-term observations.
Future Directions: Trials comparing different agents/doses and implementation studies with embedded AMR surveillance are needed to refine prophylaxis strategies and contextualize benefits versus resistance risks.
RATIONALE: Maternal sepsis is the third leading cause of maternal mortality globally. However, the risk of maternal sepsis can be reduced by administering antibiotics prophylactically before infection occurs. Previous research has assessed the effects of azithromycin prophylaxis during pregnancy, but evidence is lacking on the effects of other types of antibiotics, and the potential for antimicrobial resistance. OBJECTIVES: To assess the effects of antibiotic prophylaxis in women in labour after 28 weeks' gestation on the prevention of maternal and neonatal infections and mortality. SEARCH METHODS: We used CENTRAL, MEDLINE, Embase, one other database, and two trial registries, together with reference checking, citation searching, and contact with study authors to identify eligible studies. We did not restrict the search by publication type or language. The latest search date was 30 July 2024. ELIGIBILITY CRITERIA: We included randomised controlled trials involving pregnant women in labour after 28 gestational weeks, comparing any antibiotic prophylaxis with placebo or no treatment. We included trials of women anticipating a vaginal delivery, irrespective of baseline risk factors (unselected, lower-risk, or higher-risk), and without an indication for antibiotic prophylaxis in any care setting.
2. Early identification of sepsis-induced coagulopathy in critical ill patients: an analysis from MIMIC IV database.
Using 7,806 septic patients from MIMIC-IV, the authors defined a pre-SIC state and built an early-identification model (AUC 0.802) outperforming the SIC score alone (AUC 0.694). Pre-SIC was independently associated with higher mortality, and early heparin use among pre-SIC patients correlated with lower 28-day mortality.
Impact: Introduces a clinically actionable risk-stratification concept (pre-SIC) with improved discrimination and a therapeutic signal for early anticoagulation.
Clinical Implications: Incorporate early SIC risk screening to flag pre-SIC patients and consider timely anticoagulation in appropriate candidates after bleeding risk assessment. External validation and prospective trials are needed before protocolized adoption.
Key Findings
- Defined a pre-SIC state (developing SIC within 7 days) associated with increased hospital, 28-day, 90-day, and 1-year mortality.
- Enhanced model achieved AUC 0.802 (sensitivity 70%, specificity 76.2%) vs. SIC score AUC 0.694.
- Early heparin use among pre-SIC patients was associated with lower 28-day mortality.
Methodological Strengths
- Large, well-curated ICU database with multivariable modeling (LASSO selection and validation).
- Multiple outcome horizons (in-hospital, 28/90-day, 1-year mortality) and comparative benchmarking vs. SIC score.
Limitations
- Retrospective single-database study with potential residual confounding; association with heparin is not causal.
- Lack of external validation and prospective testing; bleeding and anticoagulation granular data may be limited.
Future Directions: Externally validate the pre-SIC model across diverse ICUs and test anticoagulation strategies in pre-SIC patients in pragmatic randomized trials.
BACKGROUND: To develop a model for early identification of coagulopathy in septic patients. METHODS: Patients with sepsis were identified from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Patients who did not meet the sepsis-induced coagulopathy (SIC) scoring criteria upon admission but developed SIC within the subsequent 7 days were considered to be in a pre-SIC state at baseline. Baseline clinical features of the patients were screened by lasso regression. Subsequently, these features underwent multivariate logistic regression for model construction, followed by testing the stability of the model in the test set. RESULTS: A total of 7,806 patients were included in the study from the MIMIC-IV database, comprising 7,080 without SIC and 726 with pre-SIC. Patients with pre-SIC had higher criticality scores compared to patients with Non-SIC. Pre-SIC was identified as an independent risk factor for hospitalization, 28-day, 90-day, and 1-year mortality in patients with sepsis. Patients with pre-SIC who received early heparin had lower 28-day mortality compared to those without treatment. The SIC scoring system demonstrated a sensitivity of 77.0% for identifying pre-SIC, a specificity of 53.9%, and an AUC of 0.694 (95% CI: 0.659–0.730). Based on SIC scoring system, additional clinical features were added to the pre-SIC model, ultimately yielding 70% sensitivity and 76.2% specificity with an AUC of 0.802 (95% CI: 0.773–0.830) in the validation set. CONCLUSION: The development of SIC is associated with increased mortality rate in patients with sepsis, and precise identification of this group of patients and individualized treatment may be important for improving prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-025-11482-5.
3. Association of maternal infections, antibiotic use, and cesarean delivery with the risk of early-onset sepsis: a nationwide population-based study in full-term neonates.
In a nationwide matched case-control analysis of 1.69 million term mother–infant pairs, cesarean delivery (OR 1.45), maternal infections (e.g., pneumonia OR 17.35; chorioamnionitis OR 8.99), maternal antibiotic use (OR 1.33), diabetes (OR 1.95), PROM (OR 1.69), and lower birth weight were associated with higher EOS risk. EOS incidence did not decline despite universal screening and IAP implementation.
Impact: Unprecedented scale clarifies contemporary EOS risk factors in term neonates under universal screening and IAP, informing targeted prevention strategies.
Clinical Implications: Strengthen surveillance and targeted bundles for high-risk dyads (maternal pneumonia, chorioamnionitis, PROM, diabetes), reassess cesarean-associated risk, and refine antibiotic stewardship in pregnancy to minimize unintended EOS risk.
Key Findings
- EOS incidence did not decline after universal screening and IAP implementation; slight increase around 2018.
- Strong risk associations: maternal pneumonia (OR 17.35), chorioamnionitis (OR 8.99), cesarean section (OR 1.45), diabetes (OR 1.95), maternal antibiotic use (OR 1.33), PROM (OR 1.69), and lower birth weight.
- EOS group had higher mortality (0.667%) vs non-EOS (0.0926%).
Methodological Strengths
- Nationwide, population-based dataset with unmatched scale (1.69 million pairs) and matched case-control design.
- Adjusted conditional logistic regression accounting for key maternal and neonatal covariates.
Limitations
- Observational design limits causal inference; potential misclassification and coding biases in administrative data.
- Microbiological specificity and timing of antibiotic exposures may be incompletely captured.
Future Directions: Linkage with microbiology and pharmacy records and quasi-experimental designs could clarify causal pathways; risk-based peripartum prevention bundles should be prospectively evaluated.
BACKGROUND: Neonatal sepsis remains a significant cause of morbidity and mortality among newborns worldwide. Although the implementation of intrapartum antibiotic prophylaxis (IAP) has led to changes in the microbiological landscape of early-onset sepsis (EOS), the incidence among full-term neonates has not declined as expected. This underscores the ongoing need to identify and understand maternal and neonatal risk factors to inform more effective prevention strategies. METHODS: We conducted a nationwide, population-based matched case-control study using data from January 1, 2010, to December 31, 2019, encompassing all pregnant individuals and their term infants in Taiwan. The primary objective was to identify clinical risk factors associated with EOS by comparing neonates diagnosed with EOS to matched controls without EOS. Conditional logistic regression was used for statistical analysis, adjusting for relevant maternal and neonatal covariates. RESULTS: A total of 1,694,043 mother-term infant pairs were included in the analysis, representing one of the largest national cohorts to date. Despite the implementation of a universal antenatal screening program and IAP in 2012, the incidence of clinical EOS did not decline over the study period and showed a slight increase around 2018. Adjusted analyses identified several significant risk factors for EOS, including chorioamnionitis (OR 8.99; 95% CI, 3.07-26.33), maternal pneumonia (OR 17.35; 95% CI, 6.85-43.90), Cesarean section (OR 1.45; 95% CI, 1.28-1.64), maternal diabetes mellitus (OR 1.95; 95% CI, 1.52-2.51), maternal antibiotic use during pregnancy (OR 1.33; 95% CI, 1.17-1.52), premature rupture of membranes (PROM) (OR 1.69; 95% CI, 1.32-2.15), birth weight (OR 0.99; 95% CI, 0.99-0.99) (all p < 0.001), and maternal genitourinary tract infections (OR 1.85; 95% CI, 1.22-2.80; p = 0.004). Mortality was notably higher among neonates with EOS (0.667%) compared to those without EOS (0.0926%) (p < 0.001). CONCLUSIONS: This study provides the most comprehensive analysis to date of EOS risk in term neonates using a nationwide dataset. Our findings indicate that cesarean delivery, maternal antibiotic use, specific maternal infections, maternal diabetes mellitus, premature rupture of membranes, and lower birth weight are associated with an increased risk of EOS. Further research is warranted to explore the potential causal relationships underlying these associations.