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Scoring Systems in Sepsis: A Comprehensive Review

Year: 2025

Type: article

Abstract: Sepsis remains a major cause of morbidity and mortality worldwide. Early identification of organ dysfunction using robust scoring systems profoundly influences patient outcomes. This review explores conventional systems such as SOFA, qSOFA, SIRS, NEWS, APACHE, SAPS and emerging models including POSMI, biomarker-augmented tools, and machine-learning (ML) algorithms. Strengths, limitations, validation status, and clinical utility are assessed, with recommendations aligned to current Surviving Sepsis Campaign and Sepsis-3 guidelines.

Source: International Journal of Medical Science and Innovative Research

DOI: 10.5281/zenodo.18081251

Author: International Journal of Medical Science and Innovative Research (IJMSIR)

Language: English

Topic: Sepsis Diagnosis and Treatment

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W7117567062

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