Observational studyBMC infectious diseases2025
The predictive performance of NEWS, MEWS, SOFA and SAPS II in outcomes of bacteremic and non-bacteremic sepsis.
Observational study in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sepsis screening tools in resource-limited settings: a systematic review and meta-analysis of diagnostic accuracy in low- and middle-income countries.Frontiers in public health · 2026Pooled it
- A multicenter machine learning model for predicting ICU mortality in mechanically ventilated patients: development and external validation.BMC medical informatics and decision making · 2026Article
- Association of Circulating C-C Motif Chemokine Ligand 4 to Disease Severity and Clinical Outcomes in Sepsis: A Prospective Observational Study.Biomedicines · 2026Article
- Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach.Diagnostics (Basel, Switzerland) · 2026Article
- Article
- Mortality prediction in geriatric ICU patients with pneumonia-related sepsis: APACHE II, NEWS, and serum lactate.Biomolecules & biomedicine · 2026Article
- Dynamic shifts in pathogen ecology of catheter-related bloodstream infections: temporal trends and ward-specific risk landscapes.Frontiers in medicine · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study evaluates the prognostic accuracy of sepsis scores and inflammatory biomarkers in predicting mortality, bacteremia, and septic shock among sepsis patients, with comparisons across bacteremic and non-bacteremic groups.
methodsThis prospective observational study was conducted in a tertiary care center in western India. A total of 196 sepsis patients were enrolled and categorized into bacteremic (n = 95) and non-bacteremic (n = 101) groups. Key sepsis scores analyzed included Sequential Organ Failure Assessment Score (SOFA), Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), and Simplified Acute Physiology Score (SAPS II). Outcomes measured included 30-day mortality, bacteraemia prediction, and septic shock. Diagnostic performance was assessed using area under curve (AUCs), sensitivity, specificity, and odds ratio (OR) analysis.
resultsThe overall 30-day mortality rate was 27.0%. Among all patients, NEWS (AUC: 0.861, 95% CI: 0.81-0.92, p < 0.001) and SOFA (AUC: 0.738, 95% CI:0.65-0.82, p < 0.001) demonstrated strong predictive capabilities for 30 days mortality. Subgroup analysis revealed that, in bacteremic sepsis, NEWS (AUC: 0.94, 95% CI: 0.89-0.99, p < 0.001) and ferritin (AUC: 0.804, 95% CI: 0.71-0.90, p < 0.001) showed the highest predictive values, while SOFA (AUC: 0.852, 95% CI: 0.76-0.94, p < 0.001) and HsCRP (AUC: 0.623, 95% CI: 0.51-0.74, p = 0.033) were most predictive for mortality in non-bacteremic sepsis. MEWS (≥ 7) demonstrated the strongest association with bacteremia (OR: 5.1, 95% CI: 2.4-11, p < 0.001, adjusted for age, and comorbidities), followed by SOFA (≥ 6), (OR: 2.4, 95% CI: 1.3-4.2, p = 0.005). For septic shock prediction, SOFA (≥ 6) (OR: 5.7) and procalcitonin (≥ 2.5 ng/mL) (OR: 4.9) were the strongest predictors.
conclusionsNEWS and SOFA demonstrated strong predictive accuracy for 30-day mortality, with ferritin providing additional value in bacteremic patients. For bacteremia prediction, MEWS (≥ 7) showed the highest association. These tools can provide critical support for clinicians in risk stratification and early intervention in severe sepsis. CLINICAL TRIAL NUMBER: not applicable.
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