Daily Sepsis Research Analysis
Analyzed 10 papers and selected 3 impactful papers.
Summary
Three studies reshape sepsis-related practice and mechanisms: a multicenter PPROM cohort shows shotgun metagenomics outperforms culture for predicting early-onset neonatal sepsis; an integrated clinical–experimental analysis challenges the assumption that hypoxemia worsens SA-AKI and suggests HIF-1α-driven adaptive mitophagy; and a Sepsis-3–era meta-analysis finds procalcitonin has only moderate diagnostic accuracy, cautioning against standalone use.
Research Themes
- Precision diagnostics and metagenomics in sepsis risk prediction
- Oxygenation physiology and organ-specific injury in sepsis
- Biomarker validation under Sepsis-3 diagnostic criteria
Selected Articles
1. Predicting neonatal infection in PPROM with vaginal microbiology and metagenomics: a prospective cohort study.
In a prospective 3-center PPROM cohort, a shotgun metagenomics-based vaginal score predicted early-onset neonatal sepsis with AUC 0.75, sensitivity 70%, and specificity 85%, outperforming conventional culture. A score >40 was strongly associated with EONS after adjustment (aOR 8.9).
Impact: Introduces a clinically actionable metagenomic signature that improves risk stratification for EONS, with potential to inform antibiotic and delivery timing decisions in PPROM.
Clinical Implications: Metagenomic vaginal profiling could guide targeted intrapartum antibiotics, neonatal evaluation intensity, and timing of delivery in PPROM, pending external validation and development of rapid point-of-care assays.
Key Findings
- Metagenomics score achieved AUC 0.75 (95% CI 0.61–0.90) for predicting EONS.
- At the optimal cutoff, sensitivity was 70% and specificity 85%.
- Score >40 was independently associated with EONS (adjusted OR 8.9; 95% CI 3.5–22.3; p<0.001).
- Culture showed high sensitivity (80%) but low specificity (38%), limiting clinical utility.
Methodological Strengths
- Prospective multicenter design with both culture and shotgun metagenomics.
- Multivariable adjustment and ROC-based threshold optimization.
Limitations
- Only a subset (272 mothers/310 neonates) had both culture and metagenomics.
- Low absolute number of EONS events may limit precision and generalizability.
Future Directions: External validation in diverse populations and development of rapid point-of-care metagenomic assays to enable real-time risk stratification.
OBJECTIVE: Early-onset neonatal sepsis (EONS) due to ascending infection is a potentially preventable complication of preterm premature rupture of membranes (PPROM). Our objective was to determine whether the analysis of bacteria from vaginal swab samples is predictive of the risk of EONS in PPROM. STUDY DESIGN: In a prospective 3-center observational cohort, patients with PPROM were enrolled between 22 and 36 weeks' gestation (WG) + 6 days. Vaginal swab samples at delivery were analyzed using two different approaches, classical bacterial cultures and shotgun metagenomic sequencing analysis. A metagenomics score was constructed combining the characterization of the vaginal microbiome and the presence of pathogens and the optimal cut-off to predict EONS was tested on a receiver operating curve. RESULTS: 563 PPROM cases were enrolled, with 646 liveborn neonates. PPROM occurred < 32 WG in 41.9% and deliveries were < 34 WG in 41.0%. The incidence of EONS was 29/646 (4.5%). When considering all central and peripheral microbiological samples available for 26 neonates, the main pathogens isolated were Escherichia coli in 14 cases (53.8 %), other gram-negatives in 5 (19.2%), strict anaerobes in 3 (11.5%); there was a single case (3.8%) each with Group B Streptococcus (GBS), Streptococcus anginosus, Staphylococcus aureus and Ureaplasma urealyticum. We studied the prediction of EONS among 272 mothers and their 310 neonates (20 EONS, 6.4%) with both culture and metagenomic data available. A culture positive for a major or intermediate pathogen in the vaginal sample at delivery had a sensitivity of 80.0 % (95% CI=56.3-94.3) and a specificity of 37.9% (95% CI=32.3-43.8), adjusted odds ratio (aOR) of 1.6 (95 % CI [0.5-5.0]) to predict EONS. The presence of E. coli was associated with an EONS risk of 10.6% vs 4.9%, in the absence of E. coli (p=0.07). The metagenomics score was highly associated with EONS, with an area under the receiver operating curve of 0.75 (95% CI, 0.61-0.90). At the optimal cutoff value, sensitivity was 70% (95% CI, 64-95%), specificity was 85% (95% CI, 81-89%). A metagenomics score greater than 40 was associated with a significantly increased risk of EONS with an aOR of 8.9 (95 % CI [3.5; 22.3]) in multivariate analysis adjusted for latency period and gestational age, p<0.001. CONCLUSION: In PPROM, conventional microbial culture of maternal vaginal samples was associated with EONS, but its predictive values remain insufficient to guide perinatal care. Metagenomic microbial signatures improved predictive values. This opens the perspective for a rapid point-of-care test.
2. Does hypoxemia aggravate sepsis-associated acute kidney injury? Integrated clinical and experimental evidence.
In 2,292 SA-AKI patients, hypoxemia was not independently associated with higher creatinine or BUN after adjustment, though survival was best in those with PaO2 ≥100 mmHg. Mouse experiments showed no renal injury exacerbation with added hypoxia and indicated HIF-1α upregulation and enhanced mitophagy under hypoxemic sepsis.
Impact: Challenges a common assumption by integrating clinical and mechanistic data, suggesting hypoxemia may trigger adaptive renal responses in sepsis rather than uniformly worsening SA-AKI.
Clinical Implications: Renal protection strategies in sepsis should not presume that hypoxemia independently worsens SA-AKI; oxygen targets warrant randomized evaluation focused on kidney outcomes while still avoiding severe hypoxemia.
Key Findings
- In adjusted analyses, PaO2 was not independently associated with SCr or BUN in 2,292 SA-AKI patients.
- Survival differed by PaO2 strata, with best outcomes in the ≥100 mmHg group (log-rank p<0.001).
- In mice, added hypoxia did not worsen LPS-induced kidney injury; HIF-1α increased and LC3–TOMM20 colocalization suggested enhanced mitophagy.
Methodological Strengths
- Large clinical cohort from MIMIC-IV with multivariable regression and survival analysis.
- Complementary mechanistic validation in a controlled murine model with molecular readouts (HIF-1α, mitophagy markers).
Limitations
- Retrospective design with potential residual confounding and non-randomized oxygen exposure.
- Translational gap between murine LPS/hypoxia model and human sepsis heterogeneity.
Future Directions: Randomized trials of oxygenation targets in sepsis focusing on renal outcomes and mechanistic studies dissecting HIF-1α–mitophagy pathways in human kidneys.
BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in critically ill patients, but the association between hypoxemia and renal dysfunction remains uncertain. METHOD: We retrospectively analyzed 2292 patients with SA-AKI from the MIMIC-IV database and stratified them into four groups based on their highest arterial partial pressure of oxygen (PO₂) within 24 h of admission: < 60 mmHg, ≥ 60 to < 80 mmHg, ≥ 80 to < 100 mmHg, and ≥ 100 mmHg. Associations between PO₂ and renal injury markers (serum creatinine [SCr] and blood urea nitrogen [BUN]) were evaluated using multivariable regression analyses, and survival outcomes were compared with Kaplan-Meier methods. To explore mechanistic pathways, a murine model was established with four experimental conditions: normoxia, hypoxia (10% O₂), lipopolysaccharide (LPS)-induced sepsis, and combined sepsis plus hypoxia. Serum biochemical parameters, histological injury, and protein expression of hypoxia-inducible factor-1α (HIF-1α) were measured at 6, 24, and 48 h. Mitochondrial autophagy was assessed by LC3 and TOMM20 immunofluorescence colocalization. RESULT: Patients with lower PO₂ had higher illness severity and unadjusted BUN and SCr levels, multivariable analyses revealed no independent association between PO₂ and renal injury markers. Survival differed significantly across groups, with the ≥ 100 mmHg group showing the best outcomes (log-rank P < 0.001). In animal experiments, sepsis groups developed increased SCr and BUN at 24 and 48 h, but combined hypoxia did not exacerbate these parameters compared to sepsis alone. Histological analysis revealed severe tubular injury with no significant aggravation in the sepsis-plus hypoxia group. HIF-1α expression was lowest in sepsis-only kidneys but markedly upregulated in the sepsis-plus-hypoxia group at 6 h. Immunofluorescence demonstrated less colocalization of LC3 and TOMM20 in the sepsis-only group than in sepsis-plus-hypoxia mice, suggesting more efficient mitophagy with hypoxemia. CONCLUSIONS: These clinical and experimental findings indicate that hypoxemia was not independently associated with aggravated renal injury in SA-AKI and may activate HIF-1α and promote adaptive mitophagy. This challenges the conventionally held belief that hypoxemia is uniformly detrimental to renal function during sepsis.
3. The diagnostic accuracy of serum procalcitonin for sepsis in critically ill adults. A systematic review and diagnostic meta-analysis.
This Sepsis-3–focused diagnostic meta-analysis (10 studies, 1,098 patients) found procalcitonin has moderate accuracy for sepsis diagnosis in ICU adults (sensitivity 0.72, specificity 0.65; AUC 0.79), with low certainty of evidence. PCT should not be used in isolation to diagnose sepsis.
Impact: Provides up-to-date, Sepsis-3–specific synthesis clarifying the limits of a widely used biomarker, directly informing bedside diagnostic strategies and stewardship.
Clinical Implications: Use PCT as part of a multimodal assessment (clinical signs, organ dysfunction, other biomarkers), not as a standalone rule-in or rule-out test; avoid protocolized thresholds without context.
Key Findings
- Pooled sensitivity 0.72 and specificity 0.65 for sepsis diagnosis under Sepsis-3.
- Pooled AUC 0.79; positive LR 2.45 and negative LR 0.38; DOR 7.08.
- Certainty of evidence rated low using GRADE; QUADAS used for bias assessment.
Methodological Strengths
- Sepsis-3–restricted inclusion across multiple databases with random-effects DTA meta-analysis.
- Formal quality and certainty appraisal (QUADAS, GRADE).
Limitations
- Only 10 studies and 1,098 patients with potential heterogeneity and variable PCT thresholds.
- Low certainty of evidence limits strong recommendations for practice.
Future Directions: Prospective, standardized Sepsis-3 diagnostic studies with predefined PCT thresholds and integration with multimarker panels and clinical scoring systems.
INTRODUCTION: Procalcitonin (PCT) has been a blue-eyed-boy in diagnosing sepsis in previous years. The aim of this systematic review and meta-analysis was to assess the accuracy of PCT for the diagnosis of sepsis, according to the recent Sepsis-3 criteria, in adult patients admitted to the intensive care unit (ICU). METHODS: We searched several electronic databases, including PubMed, Science Direct, Wiley, Cochrane, and Google Scholar from the inception of the Sepsis-3 diagnostic criteria (January 1, 2016) until May 31, 2025, for randomized controlled trials, cohort, and case-control studies that assessed the diagnostic accuracy of PCT for sepsis using the Sepsis-3 criteria among critically ill adult patients with suspected infection. We performed a random effect diagnostic meta-analysis, evaluated the risk of bias of individual studies using the QUADAS tool, and assessed certainty of evidence using GRADE methodology. RESULTS: We included 10 studies comprising 1098 patients. Of these, 635 patients were diagnosed with sepsis based on Sepsis-3 criteria, including 89 patients with septic shock. The pooled sensitivity of PCT for diagnosing sepsis was 0.72 (95 % CI [confidence interval], 0.68-0.75, low certainty) and the pooled specificity was 0.65 (95 % CI, 0.61-0.69, low certainty). The pooled positive likelihood ratio was 2.45 (95 % CI [confidence interval], 1.62-3.68), The negative likelihood ratio was 0.38 (95 % CI, 0.28-0.53), and the pooled diagnostic odds ratio was 7.08 (95 % CI, 3.69-13.58). The area under the summary receiver operating characteristic curve of PCT was 0.79 (95 % CI 0.73-0.86). CONCLUSION: Based on pooled analysis, PCT has a moderate sensitivity and specificity for diagnosis of sepsis in ICU patients with suspected infection. These results suggest clinicians should be cautious about using PCT to facilitate the diagnosis of sepsis in critically ill adults with suspected infection. Given the ongoing uncertainty, further high-quality data in this population is needed.