Daily Sepsis Research Analysis
Two complementary analyses from the A-PLUS program show that a single intrapartum oral dose of azithromycin reduces maternal infections in low-resource settings and is likely cost-saving. A prospective ICU study provides actionable pharmacokinetic guidance for antibiotic dosing during continuous veno-venous hemofiltration in septic patients, supporting loading doses and daily TDM.
Summary
Two complementary analyses from the A-PLUS program show that a single intrapartum oral dose of azithromycin reduces maternal infections in low-resource settings and is likely cost-saving. A prospective ICU study provides actionable pharmacokinetic guidance for antibiotic dosing during continuous veno-venous hemofiltration in septic patients, supporting loading doses and daily TDM.
Research Themes
- Maternal sepsis prevention in low-resource settings
- Pharmacokinetics and dosing optimization during CRRT
- Economic evaluation to inform global health policy
Selected Articles
1. Effectiveness of intrapartum azithromycin to prevent infections in planned vaginal births in low-income and middle-income countries: a post-hoc analysis of data from a multicentre, randomised, double-blind, placebo-controlled trial.
In a post-hoc analysis of the large A-PLUS randomized trial, a single 2 g oral dose of azithromycin given intrapartum reduced maternal infections (4.0% vs 5.6%; RR 0.71, 95% CI 0.64–0.79) without increasing neonatal infections. Results were consistent across sites in low-resource settings and analyses were intention-to-treat.
Impact: This analysis strengthens the evidence base for a simple, scalable strategy to prevent maternal infections and sepsis during childbirth in LMICs, with immediate policy relevance. It complements prior mortality/sepsis results by detailing broader infectious outcomes.
Clinical Implications: Consider a single 2 g oral azithromycin dose intrapartum for women planning vaginal delivery in low-resource settings to reduce maternal infections; implement with antimicrobial stewardship oversight and monitor for resistance and local epidemiology.
Key Findings
- Maternal infection occurred in 4.0% with azithromycin vs 5.6% with placebo (RR 0.71, 95% CI 0.64–0.79, p<0.0001).
- No difference was observed in any neonatal infection between groups.
- Analysis used intention-to-treat and a Poisson model adjusted for site.
Methodological Strengths
- Large multicentre, double-blind, placebo-controlled randomized dataset with intention-to-treat analysis
- Clear, clinically relevant composite of maternal infections with site-adjusted modeling
Limitations
- Post-hoc analysis; not a prespecified primary outcome of the original trial
- Follow-up time horizon for infection ascertainment not detailed in the abstract; antimicrobial resistance outcomes not assessed
Future Directions: Prospective implementation studies with resistance surveillance, cost-effectiveness within health systems, and evaluation in diverse settings including higher-resource facilities.
BACKGROUND: In 2023, the Azithromycin Prevention in Labor Use (A-PLUS) trial showed intrapartum azithromycin reduces maternal sepsis or death in women with planned vaginal delivery in low-resource settings, but whether it reduces maternal infection is unknown. We aimed to evaluate the effectiveness of intrapartum azithromycin in reducing maternal infection. METHODS: We performed a post-hoc analysis of the multicentre, facility-based, randomised, double-blind, placebo-controlled A-PLUS trial. This trial compared prophylactic intrapartum single oral dose of 2 g azithromycin versus placebo on maternal morbidity and mortality in low-resource settings in southeast Asia and Africa from Sept 9, 2020, to Aug 18, 2022. The trial enrolled women in labour at 28 weeks' gestation (or later) at eight sites in the Democratic Republic of the Congo, Kenya, Zambia, Bangladesh, India, Pakistan, and Guatemala and found that azithromycin reduced the incidence of maternal sepsis or death. The primary outcome of the present analysis was the incidence of any maternal infection in the azithromycin versus placebo groups, which was defined as one or more of these infections after randomisation: chorioamnionitis, endometritis, perineal or caesarean wound infection, abdominopelvic abscess, mastitis or breast abscess, and other infections. Any neonatal infection was also analysed. All analyses were by intention to treat in all those with data available for that outcome. Relative risks (RRs) and 95% CIs were estimated with a Poisson model adjusted for treatment group and site. Subgroup analyses included a two-way interaction test between intervention group and subgroup. A-PLUS was registered at ClinicalTrials.gov, number NCT03871491. FINDINGS: 29 278 women were randomly assigned to groups: 14 590 to receive azithromycin, 14 688 to receive placebo. Baseline characteristics were similar between the azithromycin and placebo groups (43·3% vs 43·4% primiparous, 8·5% vs 8·7% high risk for infection). The presence of any maternal infection occurred less often in the azithromycin group (580 [4·0%] of 14 558) compared with the placebo group (824 [5·6%] of 14 661 women; RR 0·71, 95% CI 0·64-0·79, p<0·0001). Any neonatal infection did not differ between treatment groups. Adverse events were not detected. INTERPRETATION: Among women planning vaginal delivery, this analysis provides evidence indicating that intrapartum azithromycin is associated with a lower incidence of maternal infections than placebo. FUNDING: The Eunice Kennedy Shriver National Institute of Child Health and Human Development and Bill and Melinda Gates Foundation via Foundation of National Institutes of Health. TRANSLATIONS: For the French and Spanish translations of the abstract see Supplementary Materials section.
2. Cost-effectiveness of intrapartum azithromycin to prevent maternal infection, sepsis, or death in low-income and middle-income countries: a modelling analysis of data from a randomised, multicentre, placebo-controlled trial.
A probabilistic decision-analytic model using A-PLUS trial inputs suggests intrapartum azithromycin averts 1,592 maternal infection/sepsis/death events per 100,000 pregnancies and is typically cost-saving (mean net savings US$32,661), with 13.2 DALYs averted. Sensitivity analyses identified readmission cost, azithromycin price, and infection probability as key drivers.
Impact: Provides robust economic evidence to inform national and global scale-up of maternal infection/sepsis prevention in LMICs, complementing clinical efficacy data.
Clinical Implications: Health systems in LMICs can consider intrapartum azithromycin adoption as an economically efficient strategy, prioritizing sites with high maternal infection burden and optimizing procurement to maintain cost-saving.
Key Findings
- Model projects 1,592 maternal infection/sepsis/death cases averted per 100,000 pregnancies (95% CI 1,139.7–2,024.1).
- Estimated mean net savings of US$32,661 per 100,000 pregnancies and 13.2 DALYs averted.
- Reductions in 248.5 facility readmissions, 866.8 unplanned clinic visits, and 1,816.2 antibiotic regimens per 100,000 pregnancies.
Methodological Strengths
- Probabilistic decision tree with 100,000 simulations informed by randomized trial data
- Extensive sensitivity analyses and healthcare sector perspective across multiple LMIC sites
Limitations
- Model-based results depend on assumptions and site-specific cost inputs; external validity may vary
- Antimicrobial resistance externalities and long-term population-level effects were not explicitly modeled
Future Directions: Country-specific budget impact analyses, integration with antimicrobial resistance surveillance, and operational research on delivery at scale.
BACKGROUND: Sepsis is one of the leading causes of maternal mortality globally. In 2023, the Azithromycin Prevention in Labor Use (A-PLUS) trial showed intrapartum azithromycin for women planning a vaginal birth reduced the risk of maternal sepsis or death and infection. We aimed to evaluate the cost-effectiveness of intrapartum azithromycin for pregnant people planning a vaginal birth in low-income and middle-income countries (LMICs) using A-PLUS trial data. METHODS: We compared the benefits and costs of intrapartum azithromycin versus standard care across 100 000 model simulations using data from the A-PLUS trial and a probabilistic decision tree model that included 24 mutually exclusive scenarios. A-PLUS was a randomised, double-blind, placebo-controlled trial that enrolled 29 278 women in labour at 28 weeks' gestation or more at eight sites in the Democratic Republic of the Congo, Kenya, Zambia, Bangladesh, India, Pakistan, and Guatemala. Women randomly assigned to azithromycin received a single intrapartum 2 g oral dose. In this cost-effectiveness analysis, we considered the cost of azithromycin treatment and its effects on a composite outcome of maternal infection, sepsis, or death and its individual components, and health-care use. Our analysis had a health-care sector perspective. We summarised results as an average and 95% CI of the model simulations. We also conducted sensitivity analyses. A-PLUS was registered at ClinicalTrials.gov, number NCT03871491. FINDINGS: In model simulations, intrapartum azithromycin resulted in 1592·0 (95% CI 1139·7 to 2024·1) cases of maternal infection, sepsis, or death averted per 100 000 pregnancies, yielding 248·5 (95·3 to 403·7) facility readmissions averted, 866·8 (537·8 to 1193·2) unplanned clinic visits averted, and 1816·2 (1324·5 to 2299·7) antibiotic regimens averted. Using mean health-care costs across the A-PLUS sites, intrapartum azithromycin resulted in net savings of US$32 661 (-52 218 to 118 210) per 100 000 pregnancies and 13·2 (8·3 to 17·9) disability-adjusted life-years averted. The cost of facility readmission, cost of azithromycin, and probability of infection had the greatest impact on the incremental cost. INTERPRETATION: In most cases, intrapartum azithromycin is a cost-saving intervention for the prevention of maternal infection, sepsis, or death in LMICs. This evidence supports global consideration of intrapartum azithromycin as an economically efficient preventive therapy to reduce infection, sepsis, or death among women planning a vaginal birth in LMICs. FUNDING: Eunice Kennedy Shriver National Institute of Child Health and Human Development and the Foundation for the National Institutes of Health through the Maternal, Newborn, and Child Health Discovery and Tools Initiative of the Bill & Melinda Gates Foundation TRANSLATIONS: For the French and Spanish translations of the abstract see Supplementary Materials section.
3. Adequate posology of antimicrobial therapy in the septic critically ill in continuous veno-venous hemofiltration: a single centre prospective observational study.
In 85 septic CRRT patients with 135 TDM assessments, antibiotics showed high sieving coefficients (~75%). Linear regression linked ultrafiltrate to plasma concentrations (e.g., CUF=0.77×CP+const), Vd was highly variable, and TDM correlated with AUC/MIC, supporting loading doses and daily TDM-guided adjustments.
Impact: Provides quantitative, bedside-applicable guidance (regression equations, high sieving coefficients) for antibiotic dosing during CRRT in sepsis, a common and high-stakes clinical scenario.
Clinical Implications: Use loading doses for commonly used antibiotics in septic patients starting CRRT, anticipate ~75% sieving through the filter, and apply daily TDM with regression-based estimates of extracorporeal loss to adjust dosing.
Key Findings
- High sieving coefficient (~75%) across antibiotics during CRRT in septic patients.
- Linear regression equations quantify ultrafiltrate vs plasma ATB concentrations: CUF(trough)=0.77×CP(trough)+0.93 ng/mL; CUF(peak)=0.77×CP(peak)+3.1 ng/mL.
- Marked variability and generally increased volume of distribution; lower molecular weight/steric hindrance associated with higher elimination rate constant.
- TDM correlated with AUC and AUC/MIC, supporting bactericidal target attainment.
Methodological Strengths
- Prospective observational design with paired plasma and ultrafiltrate measurements across 135 TDM assessments
- Multidisciplinary team and PK/PD-integrated analysis linking TDM to exposure metrics (AUC, AUC/MIC)
Limitations
- Single-centre observational study without randomized comparisons or hard clinical outcomes
- Total concentrations measured; unbound fractions and antibiotic-specific nuances may limit generalizability
Future Directions: Multicentre trials linking TDM-guided dosing to clinical outcomes (mortality, microbiologic cure) and validation of regression equations across filters and antibiotic classes.
BACKGROUND: Determining the optimal antibiotic (ATB) dosage in septic critically ill patients on continuous renal replacement therapy (CRRT) is still challenging. CRRT further disrupts antibiotic PK, already altered by sepsis-induced fluid shifts, volume of distribution (VD) changes and half-life modifications. MATERIALS AND METHODS: Our multi-disciplinary team-comprising an intensivist, nephrologist and clinical pharmacologist-conducted a prospective observational cohort study to evaluate the extent of ATB removal by CRRT and to assess the pharmacokinetic/pharmacodynamic (PK/PD) parameters of the most commonly used antibiotics for treating severe infections. RESULTS: A total of 135 ATB therapeutic drug monitoring (TDM) assessments were conducted, measuring total drug concentrations (C) in both plasma (P) and ultrafiltrate in 85 septic patients undergoing CRRT. A high sieving coefficient (∼75%) was recorded for all antibiotics, with CRRT-related drug loss described by the following equations: (i) [CUF-ATB](trough level) = 0.77 × [CP-ATB](trough level) + 0.93 ng/mL; (ii) CUF-ATB = 0.77 × CP-ATB + 3.1 ng/mL. The VD exhibited wide variability, with values exceeding those reported in the literature. Lower ATB molecular weight and steric hindrance were associated with a higher elimination rate constant (Kemin⁻¹). ATB TDM consistently correlated with AUC and AUC/MIC, ensuring effective bactericidal activity. CONCLUSIONS: Despite its limitations, our study suggests to carry out a loading dose for the main antibiotics and consider the daily drug loss, as identified by the linear regression equation, along with daily TDM to guide further dosing adjustments.