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Daily Report

Daily Sepsis Research Analysis

08/11/2025
3 papers selected
3 analyzed

A stepped-wedge cluster RCT found a navigator-led telehealth program after sepsis discharge did not reduce the 90-day composite of readmission or death, though mortality alone decreased. Multi-omic host–microbe profiling improved sepsis mortality prediction beyond APACHE-III. In kidney transplant recipients with sepsis, discontinuing mycophenolic acid was associated with worse 180-day kidney outcomes.

Summary

A stepped-wedge cluster RCT found a navigator-led telehealth program after sepsis discharge did not reduce the 90-day composite of readmission or death, though mortality alone decreased. Multi-omic host–microbe profiling improved sepsis mortality prediction beyond APACHE-III. In kidney transplant recipients with sepsis, discontinuing mycophenolic acid was associated with worse 180-day kidney outcomes.

Research Themes

  • Post-sepsis transitional care and telehealth interventions
  • Integrated host–microbiome multi-omics for mortality prediction
  • Immunosuppressive management during sepsis in kidney transplant recipients

Selected Articles

1. Proactive Telehealth-Based Sepsis Transition and Recovery Support, Hospital Readmission, and Mortality: A Randomized Clinical Trial.

78Level IRCT
JAMA internal medicine · 2025PMID: 40788609

In a stepped-wedge cluster randomized trial of 3548 sepsis survivors, a navigator-led telehealth program (STAR) did not reduce the 90-day composite of readmission or death versus usual care. However, mortality alone was lower with STAR (adjusted OR 0.88), while readmissions were numerically higher.

Impact: This high-quality randomized evaluation informs post-sepsis care by demonstrating that proactive telehealth does not reduce the composite of readmission or death, while suggesting a mortality benefit requiring further exploration.

Clinical Implications: Health systems should be cautious in expecting composite outcome reductions from telehealth transitional programs alone; targeting mechanisms that reduce mortality while avoiding readmissions may be necessary, and patient selection/engagement could be optimized.

Key Findings

  • Primary composite (90-day readmission or death) similar between STAR and usual care (48.2% vs 48.0%; adjusted OR 1.05, 95% CI 0.90-1.24, P=0.53)
  • Lower 90-day mortality with STAR (17.3% vs 20.5%; adjusted OR 0.88, 95% CI 0.77-0.99, P=0.04)
  • Higher readmission frequency in STAR (35.9% vs 33.5%; adjusted OR 1.13, 95% CI 0.92-1.38, P=0.24, not significant)
  • 66% of assigned patients engaged at least once with STAR after discharge

Methodological Strengths

  • Stepped-wedge cluster randomized design across 7 hospitals with trial registration
  • Large sample size with intention to implement health system intervention

Limitations

  • Primary outcome negative; potential contamination and secular trends inherent to stepped-wedge designs
  • Only 66% engagement may have diluted treatment effect; no detailed mechanism analysis for mortality decrease

Future Directions: Identify patient subgroups benefiting most, refine components to reduce readmissions, and test targeted or hybrid models in pragmatic trials.

IMPORTANCE: Sepsis survivors experience high morbidity and mortality after discharge, but health systems lack effective approaches to improve recovery. OBJECTIVE: To evaluate the effect of a sepsis transition and recovery (STAR) program compared with usual care on postdischarge outcomes. DESIGN, SETTING, AND PARTICIPANTS: The ENCOMPASS (Engagement and Collaborative Management to Proactively Advance Sepsis Survivorship) stepped-wedge cluster randomized clinical trial was conducted among adults hospitalized with sepsis at 7 US hospitals in a single health care system from July 2020 to June 2023. Each hospital was a cluster, with 1 randomly transitioning to STAR every 4 months. Follow-up ended in December 2023. INTERVENTIONS: The STAR program was a navigator-led, telehealth-based strategy to proactively deliver evidence-driven postsepsis care to high-risk patients for 90 days after discharge. MAIN OUTCOMES AND MEASURES: The primary outcome was the composite of all-cause hospital readmission or mortality within 90 days of discharge. RESULTS: Of 3548 patients enrolled, 1843 (52%) were women, and the median (IQR) age was 68 (57-77) years; 1160 (33%) were admitted to the intensive care unit. A total of 1426 patients were randomized to the usual care group and 2122 patients were randomized to the STAR group. In the STAR group, 1393 patients (66%) engaged with the STAR program at least once after discharge. The composite all-cause readmission or mortality at 90 days did not differ between the STAR and usual care groups (1023 [48.2%] vs 684 [48.0%]; adjusted odds ratio, 1.05; 95% CI, 0.90-1.24; P = .53). Analysis of the outcomes separately demonstrated a lower frequency of death among patients in the STAR group compared with those in the usual care group (367 [17.3%] vs 292 [20.5%]; adjusted odds ratio, 0.88; 95% CI, 0.77-0.99; P = .04) and a higher frequency of readmission among patients in the STAR group (763 [35.9%] vs 478 [33.5%]; adjusted odds ratio, 1.13; 95% CI, 0.92-1.38; P = .24). CONCLUSIONS AND RELEVANCE: In this randomized clinical trial, a multicomponent, navigator-led STAR program did not reduce the composite of all-cause readmission and mortality at 90 days after discharge. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04495946.

2. Host-Microbe Multiomic Profiling Predicts Mortality in Sepsis.

74.5Level IIICohort
American journal of respiratory and critical care medicine · 2025PMID: 40788839

In a prospective cohort of 321 critically ill adults, integrated host transcriptomic, proteomic, and plasma metagenomic features predicted sepsis mortality (AUC 0.79), outperforming APACHE-III. Mortality was linked to signatures of neutrophil activation, suppressed T cell signaling, elevated IL-8, and increased microbial load/dominance.

Impact: This study integrates host and pathogen biology into a single prognostic framework, demonstrating superior performance to a widely used severity score and advancing precision risk stratification in sepsis.

Clinical Implications: Multi-omic signatures could guide early risk stratification, inform targeted diagnostics, and prioritize patients for intensive monitoring or immunomodulatory trials.

Key Findings

  • Integrated host–microbe classifier predicted mortality with AUC 0.79; host-only transcriptomic model AUC 0.75
  • Both classifiers outperformed APACHE-III (AUC 0.69; p<0.05 by paired DeLong tests)
  • Mortality associated with increased neutrophil degranulation genes, decreased T cell signaling genes, elevated IL-8
  • Higher plasma microbial mass and greater bacterial relative dominance correlated with mortality

Methodological Strengths

  • Prospective sampling within 24 hours with multi-omic profiling across transcriptome, proteome, and metagenome
  • Direct comparison to APACHE-III using appropriate statistical testing (paired DeLong)

Limitations

  • Single-cohort analysis without external validation may risk overfitting
  • Biological sampling limited to early time window; temporal dynamics not assessed

Future Directions: External validation across diverse ICUs, incorporation of longitudinal sampling, and integration into real-time clinical decision tools.

RATIONALE: Sepsis is a leading cause of mortality and involves a dysregulated host response to infection. Host and microbe have historically been considered independently in studies of sepsis, limiting our understanding of key relationships driving mortality. OBJECTIVES: We sought to identify host and microbial factors associated with sepsis mortality and build prognostic classifiers. METHODS: We studied 321 critically ill adults and adjudicated sepsis status. From whole blood collected within 24 hours of admission we performed transcriptional profiling, and from plasma we carried out proteomics and metagenomics. We evaluated associations between in-hospital mortality and gene expression, protein levels and microbial metagenomic data, and built support vector machine-based prognostic classifiers. MEASUREMENTS AND MAIN RESULTS: In patients with sepsis, mortality associated with increased expression of genes related to neutrophil degranulation, lower expression of genes related to T cell signaling, and higher interleukin-8. Mortality also associated with higher microbial mass and greater bacterial relative dominance. Similar findings were observed in a broader group that also included patients with culture-negative sepsis or indeterminate sepsis status. An integrated host-microbe metagenomic classifier predicted sepsis mortality with an area under the curve (AUC) of 0.79, and a host transcriptomic classifier performed comparably with an AUC of 0.75. Both performed better (p<0.05 by paired DeLong tests) that the APACHE-III score (AUC of 0.69). CONCLUSIONS: Taken together, our findings provide a conceptual advance in the understanding of host and microbial factors associated with mortality in critical illness and demonstrate a new approach to mortality prediction in sepsis.

3. Immunosuppressive therapy management during sepsis in kidney transplant recipients: a prospective multicenter study.

67Level IIICohort
Annals of intensive care · 2025PMID: 40784979

In 124 septic kidney transplant recipients across 11 ICUs, stopping mycophenolic acid was independently associated with worse MAKE 180 outcomes, whereas calcineurin inhibitor discontinuation was not. ICU-acquired infections were not increased with IST changes, and graft rejection after ICU was rare.

Impact: Provides prospective multicenter evidence to guide immunosuppressive adjustments during sepsis in a vulnerable transplant population, highlighting potential risks of MPA withdrawal.

Clinical Implications: Routine mycophenolic acid discontinuation during sepsis may be harmful for kidney outcomes and warrants reconsideration; CNI continuation appears acceptable. Decisions should balance infection control and graft protection.

Key Findings

  • MPA discontinuation associated with higher MAKE 180 risk (adjusted OR 1.45, 95% CI 1.07-1.96, p=0.018)
  • CNI discontinuation not associated with MAKE 180 (adjusted OR 1.05, 95% CI 0.87-1.26, p=0.6)
  • IST discontinuation not significantly associated with ICU-acquired infections (adjusted OR 1.14, 95% CI 0.95-1.36)
  • Only 2 graft rejections among ICU survivors within 1-year post-ICU

Methodological Strengths

  • Prospective multicenter design across 11 ICUs with predefined composite kidney outcome (MAKE 180)
  • Multivariable adjustment for key confounders (age, non-renal SOFA, kidney function, sex, rejection history)

Limitations

  • Observational design with potential residual confounding and indication bias
  • Study period may be influenced by SARS-CoV-2–specific protocols affecting IST decisions

Future Directions: Randomized or adaptive trials to test IST adjustment strategies during sepsis in KTRs and mechanistic studies on MPA’s role in host defense and graft outcomes.

BACKGROUND: Sepsis is the leading cause of Intensive Care Unit (ICU) admissions in kidney transplant recipients (KTRs). However, the optimal immunosuppressive therapy (IST) management in this context is not well-defined. We aimed to evaluate the impact of IST management in the ICU on mortality rates and kidney graft function 6 months after inclusion in KTRs admitted for sepsis. METHODS: We conducted a multicenter, prospective, observational study over 1 year in 11 French ICUs. Inclusion criteria were all KTRs who have been transplanted for at least 3 months, admitted to the ICU for sepsis. All changes of IST (7 days prior to ICU admission or throughout the ICU stay) were collected. The primary outcome was MAKE 180 (Major Adverse Kidney Event), a composite outcome including mortality, kidney graft dysfunction and dialysis requirement at 180 days after inclusion. RESULTS: One hundred and twenty-four patients were included. The main cause of ICU admission was respiratory failure for 78 patients (62.9%). Predominant IST management was mycophenolic acid (MPA) discontinuation for 74 patients (59.7%) and calcineurin inhibitor (CNI) continuation for 63 patients (50.8%). By multivariable analysis, after adjustment for age, non-renal SOFA score at admission, kidney function at admission, sex, and history of cellular rejection we did not find any significant association between MAKE 180 and CNI discontinuation (adjusted OR = 1.05, 95% CI 0.87-1.26, p = 0.6). In contrast, MPA discontinuation was significantly associated with MAKE 180 (adjusted OR = 1.45, 95% CI 1.07-1.96, p = 0.018). No significant association was found between IST discontinuation and ICU-acquired infections (adjusted OR = 1.14, 95% CI 0.95-1.36, p = 0.157). Among ICU survivors, only 2 graft rejections occurred during the year following ICU discharge. CONCLUSION: This study is the first prospective investigation to suggest an association between MPA discontinuation and adverse outcomes during sepsis in critically-ill KTRs. These findings must be interpreted with caution given the potential confounding introduced by SARS-Cov-2-specific treatment protocols. Further interventional trials are necessary to optimize immunosuppressive drug strategies in KTRs during sepsis.