ArticleBMC infectious diseases2023
Organism type of infection is associated with prognosis in sepsis: an analysis from the MIMIC-IV database.
Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- The Effect of Severe Sepsis and Septic Shock Management Bundle (SEP-1) Compliance and Implementation on Mortality Among Patients With Sepsis : A Systematic Review.Annals of internal medicine · 2025Pooled it
- Prognostic differences in sepsis caused by gram-negative bacteria and gram-positive bacteria: a systematic review and meta-analysis.Critical care (London, England) · 2023Pooled it
- Clinical Characteristics, Empirical Antibiotic Appropriateness, and Outcomes of Gram-Positive Versus Gram-Negative Bacteremia in Emergency Department Patients with Sepsis.Medicina (Kaunas, Lithuania) · 2026Article
- Establishment and validation of a machine learning-based prediction model for sepsis-induced coagulopathy.Journal of thrombosis and thrombolysis · 2026Article
- Plasma YAP1 as a biomarker for the prediction of occurrence, progression, and outcomes of sepsis-associated liver injury: a prospective observational study.BMC gastroenterology · 2026Observational
- Research Topics and Trends in MIMIC-IV: A Large ICU Database Relevant for Critical Care Nursing.Nursing in critical care · 2026Review
- Resistance variation and bacterial interactions shape adaptation of a genetically diverse pathogen population to antibiotic therapy.The ISME journal · 2026Article
- One trigger, two fates: hemolysate shapes neutrophil extracellular traps (NETs) formation in a context-dependent manner.Frontiers in immunology · 2026Article
- Ferritinophagy-related prognostic genes UBE2Q1, NEDD4L, and TCP11L2 for prognosis prediction in sepsis.Scientific reports · 2025Article
- Long-term outcomes of ICU-acquired infections with a focus on bloodstream infections: a single-center retrospective registry study.Infection · 2025Article
- New insights into the noncanonical inflammasome point to caspase-4 as a druggable target.Nature reviews. Immunology · 2025Review
- The association between ionized calcium level and 28-day mortality in patients with sepsis: a cohort study.Scientific reports · 2025Article
- Health-Related Quality of Life Among Patients Who Have Survived an Episode of Sepsis in the United States: A Systematic Review.Infectious diseases and therapy · 2025Review
- Reassessing sepsis research: new clues for old players and new players for an old symptom to improve patient outcomes.EXCLI journal · 2025Review
- Article
- Trajectories of State-Level Sepsis-Related Mortality by Race and Ethnicity Group in the United States.Journal of clinical medicine · 2024Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSepsis has a high mortality rate, which is expensive to treat, and is a major drain on healthcare resources; it seriously impacts the quality of human life. The clinical features of positive or non-positive blood cultures have been reported, but the clinical features of sepsis with different microbial infections and how they contribute to clinical outcomes have not been adequately described.
methodsWe extracted clinical data of septic patients with a single pathogen from the online Medical Information Mart for Intensive Care(MIMIC)-IV database. Based on microbial cultures, patients were classified into Gram-negative, Gram-positive, and fungal groups. Then, we analyzed the clinical characteristics of sepsis patients with Gram-negative, Gram-positive, and fungal infections. The primary outcome was 28-day mortality. The secondary outcomes were in-hospital mortality, the length of hospital stay, the length of ICU stay, and the ventilation duration. In addition, Kaplan-Meier analysis was used for the 28-day cumulative survival rate of patients with sepsis. Finally, we performed further univariate and multivariate regression analyses for 28-day mortality and created a nomogram for predicting 28-day mortality.
resultsThe analysis showed that bloodstream infections showed a statistically significant difference in survival between Gram-positive and fungal organisms; drug resistance only reached statistical significance for Gram-positive bacteria. Through univariate and multivariate analysis, it was found that both the Gram-negative bacteria and fungi were independent risk factors for the short-term prognosis of sepsis patients. The multivariate regression model showed good discrimination, with a C-index of 0.788. We developed and validated a nomogram for the individualized prediction of 28-day mortality in patients with sepsis. Application of the nomogram still gave good calibration.
conclusionsOrganism type of infection is associated with mortality of sepsis, and early identification of the microbiological type of a patient with sepsis will provide an understanding of the patient's condition and guide treatment.
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