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Outcome Prediction in Infectious Disease.

Khie Chen Lie¹, Yosia Yonggara, Adeline Pasaribu

¹Division of Tropical and Infectious Diseases, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia - Dr. Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia. drkhiechen@gmail.com.

Acta Medica Indonesiana

|January 26, 2025

Summary

Predicting sepsis outcomes is crucial for patient survival. This review evaluates various prognostic tools, from biomarkers to AI, for early sepsis identification in critical care settings like the emergency department (ED) and intensive care unit (ICU).

Keywords:

Infectious Disease Outcome prediction Sepsis

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Published on: January 2, 2017

Area of Science:

Critical care medicine
Infectious diseases
Biomedical informatics

Background:

Sepsis is a life-threatening condition with variable prognoses, complicating accurate prediction.
Early and precise identification of sepsis is essential to improve patient outcomes.
No universal gold standard currently exists for sepsis prediction.

Purpose of the Study:

To critically evaluate prognostic tools for sepsis and infectious diseases.
To highlight advancements in sepsis outcome prediction.
To identify future research directions in sepsis prediction.

Main Methods:

Review of current literature on sepsis prediction modalities.
Analysis of traditional scoring systems and biomarkers.
Evaluation of omics technologies and artificial intelligence in sepsis prediction.

Main Results:

Diverse prognostic tools exist, including scoring systems, biomarkers, omics, and AI.
Prediction tool efficacy varies across different patient populations and clinical settings (e.g., ED, ICU).
Significant progress has been made, but challenges remain in sepsis prediction.

Conclusions:

Continued research is needed to refine and validate sepsis prediction models.
Integrating diverse data sources may enhance predictive accuracy.
Development of standardized, universally applicable prediction tools is a key future goal.