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Daily Report

Daily Sepsis Research Analysis

01/12/2026
3 papers selected
35 analyzed

Analyzed 35 papers and selected 3 impactful papers.

Summary

Three studies advanced sepsis prevention and management: a genomic meta-analysis identifies vaccine-targetable K and O serotypes for Klebsiella pneumoniae neonatal sepsis across Africa and South Asia; a multi-hospital cohort introduces the Optimal Spectrum Antibiotic Ratio (OSAR) to quantify antibiotic spectrum appropriateness beyond SAAR; and a nationwide cohort links SGLT2 inhibitors with lower risks of sepsis, septic shock, and mortality versus DPP-4 inhibitors in type 2 diabetes.

Research Themes

  • Genomic epidemiology guiding maternal vaccine design for neonatal sepsis
  • Antimicrobial stewardship metrics beyond duration (OSAR vs SAAR/ASI)
  • Cardiometabolic therapies and infection outcomes in diabetes

Selected Articles

1. Distribution of capsule and O types in Klebsiella pneumoniae causing neonatal sepsis in Africa and South Asia: A meta-analysis of genome-predicted serotype prevalence to inform potential vaccine coverage.

80Level IIMeta-analysis
PLoS medicine · 2026PMID: 41525325

Using whole-genome sequencing and Bayesian meta-analysis of 1,930 neonatal K. pneumoniae isolates, the authors show that a 20-valent K-based formulation could theoretically cover ≥70% of infections across Eastern, Western, and Southern Africa and South Asia, while top-5 O types could cover ~86%. O-based vaccines may achieve higher coverage with lower valency but require evidence for protective efficacy.

Impact: This study provides a data-driven blueprint for maternal vaccine antigen selection against neonatal K. pneumoniae sepsis in high-burden regions, leveraging genomic epidemiology to optimize valency and coverage.

Clinical Implications: Maternal immunization strategies can prioritize a 20-valent K-based formulation for broad, regionally consistent coverage, while O-based approaches warrant further evaluation of protective efficacy before deployment.

Key Findings

  • Across 1,930 neonatal isolates, 87 K loci were identified; five (KL2, KL102, KL25, KL15, KL62) comprised 49% of isolates.
  • A 20-valent K formulation could cover an estimated 72.9% (95% CrI 69.4–76.5%) of infections overall and ≥70% in all target regions.
  • O antigens were less diverse (14 types); the top-5 O types could cover 86.2% (82.6–89.9%) of infections, with top-10 ~99% coverage.
  • Temporal stability of K loci appears adequate at 3 sites over 5–10 years, but broader longitudinal data are needed.

Methodological Strengths

  • Whole-genome sequencing-based serotype prediction across 13 countries and 35 sites
  • Bayesian hierarchical meta-analysis adjusting for site-level effects and transmission clusters

Limitations

  • Serotype assignment relied on genomic predictions rather than serology
  • Limited longitudinal data to confirm antigen stability over time

Future Directions: Prospective longitudinal surveillance to assess antigen stability, evaluation of O-antigen protective efficacy and cross-reactivity, and modeling of region-specific valency trade-offs.

BACKGROUND: Klebsiella pneumoniae causes ~20% of sepsis in neonates, with ~40% crude mortality. A vaccine administered to pregnant women, protecting against ≥70% of K. pneumoniae infections, could avert ~400,000 cases and ~80,000 deaths annually, mostly in Africa and South Asia. Vaccine formulations targeting the capsular polysaccharide (K) or lipopolysaccharide (O) antigens are in development. Global K. pneumoniae populations display extensive K and O diversity, necessitating a polyvalent vaccine-targeted to the serotypes associated with neonatal disease in relevant geographical regions. We investigated the prevalence of K and O types associated with neonatal sepsis in Africa and South Asia to inform maternal vaccine design. METHODS AND FINDINGS: We analysed 1,930 K. pneumoniae neonate blood isolates from 13 surveillance studies across 35 sites in 13 countries. We used pathogen whole-genome sequencing to predict K and O serotypes and adjust for local transmission clusters, and Bayesian hierarchical meta-analysis to estimate K and O prevalence overall and per region, treating site as a random effect. Eighty-seven K loci were identified. KL2, KL102, KL25, KL15, and KL62 accounted for 49% of isolates. We estimate that 20 K loci, combining the eight most prevalent per region, could cover 72.9% of all infections (95% credible interval: [69.4%, 76.5%]) and ≥70% in each of Eastern, Western, and Southern Africa and South Asia. Preliminary findings from three sites suggested sufficient temporal stability of K loci to maintain 20-valent K vaccine coverage over 5-10 years, but more longitudinal data are needed to support this prediction. O types were far less diverse (n = 14 types). We estimate the top-5 (O1⍺β,2⍺, O1⍺β,2β, O2⍺, O2β, and O4) would cover 86.2% [82.6, 89.9%] of total infections (76%-92% per region), while the top-10 would cover ~99% of infections in all four regions. The main limitations of our study are the reliance on genome sequences to predict K and O serotypes (as serological typing is not available) and a lack of longitudinal data to explore stability of antigen prevalence over time. CONCLUSIONS: Neonatal sepsis is associated with diverse K and O types, with substantial geographic and temporal variation even after adjusting for localised transmission clusters. Despite this, a single 20-valent K vaccine could theoretically cover ≥70% of infections in all target regions. Locally-targeted vaccines could achieve higher coverage with lower valency, but are less feasible. In principle, very high coverage could be achieved with lower valency O-based vaccines, however, the protective efficacy against disease of antibodies targeting the O antigen remains uncertain. Further research is needed on cross-reactivity, antigen exposure, and stability of antigens over time, to better inform vaccine development.

2. Optimal Spectrum Antibiotic Ratio for assessing antibiotic utilisation in sepsis caused by gram-negative bacilli.

74.5Level IIICohort
EBioMedicine · 2026PMID: 41520651

This multi-hospital retrospective cohort introduced OSAR, quantifying the ratio between clinically chosen and optimally narrow effective antibiotic spectra based on local resistance. OSAR identified both undertreatment (13.6%) and spectrum overuse patterns that diverged from SAAR and ASI trends, enabling benchmarking of spectrum appropriateness.

Impact: OSAR offers a practical, resistance-informed metric that can drive more precise antimicrobial stewardship than duration metrics alone, directly addressing spectrum appropriateness in sepsis care.

Clinical Implications: Hospitals can deploy OSAR alongside SAAR to identify units with spectrum overuse or undertreatment risk, tailor empiric guidelines to local resistance, and track stewardship interventions over time.

Key Findings

  • Defined Antibiotic Effective Spectrum (AES) and OSAR; empirical OSAR ranged 1.08–1.89 across hospitals, revealing spectrum overuse.
  • Empirical undertreatment (OSAR < 1) occurred in 13.6% of cases with wide inter-hospital variation.
  • Directed OSAR values were lower (0.74–1.45), and OSAR trends differed from SAAR and ASI, highlighting complementary information.

Methodological Strengths

  • Large multi-hospital cohort with standardized sepsis event criteria over six years
  • Mathematical optimization to define optimal spectrum active against cultured pathogens and benchmarking against SAAR/ASI

Limitations

  • Retrospective design may introduce selection bias and confounding
  • Dependence on culture-positive episodes and local antibiograms limits generalizability to culture-negative sepsis

Future Directions: Prospective validation of OSAR-linked outcomes, integration into clinical decision support, and adaptation for non-GNB pathogens and pediatric populations.

BACKGROUND: Accurate monitoring of antimicrobial consumption is essential for developing effective stewardship interventions. Hospitals are mandated to report antibiotic treatment duration using the CDC's Standardized Antimicrobial Administration Ratio (SAAR). We aimed to create a metric for measuring antimicrobial spectrum to complement SAAR, benchmarked against local and individual resistance. METHODS: This retrospective cohort study utilised data from nine acute care hospitals within BJC Healthcare from January 2018 to December 2023. Adult patients meeting CDC sepsis event criteria were included, focussing on infections caused by Gram-negative bacilli (GNB). Data on patient characteristics, microbiology results, treatments, and timing were collected. We defined the antibiotic effective spectrum (AES) as the ratio of susceptible GNB to all GNB cultured. Mathematical optimisation identified the optimal antibiotic as the antibiotic with the narrowest effective spectrum active against the isolated GNB. We calculated the empirical (before culture results are available) and directed Optimal Spectrum Antibiotic Ratio (OSAR) as the ratio between the AES chosen clinically to the optimal AES, reported it for each hospital yearly, and compared it to SAAR and the Antibiotic Spectrum Index (ASI). Sensitivity analyses focused on empirical undertreatment (OSAR <1, where the empirical choice did not cover the cultured GNB). FINDINGS: We included 10,277 GNB cultured from clinical specimens in 7997 distinct patients. The AES ranged from 0.15 for ampicillin to 0.94 for amikacin. Empirical OSAR varied between 1.08 (95% CI 1.05-1.10) and 1.89 (95% CI 1.51-2.28), with undertreatment present in 1396 (13.6%) of cases overall and wide variations across hospitals. Directed OSAR was lower, ranging between 0.74 (95% CI 0.73-0.75) and 1.45 (95% CI 1.41-1.49). OSAR, SAAR and ASI had different trends across hospitals over the six study years. INTERPRETATION: The OSAR yielded different conclusions about antibiotic utilisation, complementing duration-based measures like SAAR. It determines the appropriateness of antibiotic spectrum based on local and individual resistance. FUNDING: The project was funded by the CDC (5U54CK000609).

3. Association Between Sodium-Glucose Cotransporter-2 Inhibitors and Sepsis Risk in Patients With Type 2 Diabetes Mellitus.

67Level IIICohort
Journal of diabetes research · 2026PMID: 41523745

In a nationwide active-comparator new-user cohort of 104,016 matched patients with T2DM, SGLT2 inhibitors were associated with lower risks of sepsis (aHR 0.77), septic shock (0.70), and mortality (0.60) compared to DPP-4 inhibitors.

Impact: This large real-world study suggests infection-related benefits of SGLT2 inhibitors beyond glycemic control, informing drug selection in high-risk T2DM populations.

Clinical Implications: For T2DM patients at elevated infection risk, SGLT2 inhibitors may be preferred over DPP-4 inhibitors, while acknowledging the need to individualize therapy and monitor for known SGLT2i adverse effects.

Key Findings

  • After 1:2 matching, 34,672 SGLT2i users and 69,344 DPP-4i users were analyzed from Taiwan’s NHIRD (2017–2020).
  • SGLT2i use was associated with lower sepsis incidence (10.1% vs 15.5%; aHR 0.77, 95% CI 0.74–0.81).
  • Risks of septic shock (aHR 0.70, 95% CI 0.57–0.87) and mortality (aHR 0.60, 95% CI 0.54–0.66) were also reduced with SGLT2i versus DPP-4i.

Methodological Strengths

  • Active-comparator new-user design with large matched cohorts from a nationwide database
  • Cox proportional hazards modeling with adjusted hazard ratios for key outcomes

Limitations

  • Residual confounding and confounding by indication cannot be excluded
  • Claims-based diagnoses lack microbiological confirmation and clinical detail

Future Directions: Emulation of target trials with richer clinical covariates, exploration of mechanisms (e.g., immunometabolic effects), and validation across other healthcare systems.

AIMS: This retrospective study is aimed at evaluating the effect of SGLT2 inhibitors (SGLT2i) on the risk of sepsis among patients with Type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: An active-comparator new user design was utilized based on Taiwan's National Health Insurance Research Database. Adult patients diagnosed with T2DM between 2017 and 2020 who initiated either SGLT2i or DPP-4 inhibitors (DPP-4i) were included. After 1:2 matching by age, sex, and Charlson Comorbidity Index, the study enrolled 34,672 SGLT2i users and 69,344 DPP-4i users. The primary outcome was sepsis, with secondary outcomes including septic shock, organ dysfunction, and mortality. Hazard ratios (HRs) were estimated using Cox proportional hazards regression. RESULTS: SGLT2i users had a significantly lower risk of sepsis than DPP-4i users (10.1% vs. 15.5%; adjusted HR [aHR]: 0.77; 95% CI: 0.74-0.81). The risk of septic shock and mortality in SGLT2i users was also reduced by 30% (aHR: 0.70; 95% CI: 0.57-0.87) and 40% (aHR: 0.60; 95% CI: 0.54-0.66), respectively, compared with that of DPP-4i users. CONCLUSIONS: The findings suggest that SGLT2i is associated with a significantly lower risk of sepsis, septic shock, and mortality compared with that of DPP-4i in patients with T2DM.