Early Detection of Sepsis in Adult ICU Patients Using Machine Learning Techniques at a University Medical College Hospital

Not yet recruiting

• Conditions: Other Procedures,

• Registration Number: CTRI/2025/05/087434
• Lead Sponsor: Institute of Medical Sciences and Sum Hospital, Siksha ‘O’ Anusandhan Deemed to be University

Brief Summary

Sepsis remains a significant public health issue associated with high mortality, morbidity, and related health costs.Although numerous studies are conducted every year on how to reduce the mortality rate associated with sepsis, it is still a major challenge faced by patients, clinicians, and medical systems worldwide. Early and accurate diagnosis is crucial for effective treatment and improved outcomes. However, the complexity and diversity of sepsis-related complications present obstacles in the diagnostic process. Therefore, our primary goal is to develop a multicentric Machine learning (ML) model that can predict sepsis early before its medically confirmed onset.

It can be expected that the development of an accurate predictive model can reduce the severity of sepsis risk at an early stage alert, assist clinicians in decision-making, enhance patient outcomes, and reduce mortality rates through timely and accurate intervention.

Detailed Description

Not available

Study Timeline

• Study Start: 2025-05-06
• Last Update Posted: 2025-05-22

Recruitment & Eligibility

• Status: Not Yet Recruiting
• Sex: All
• Target Recruitment: 667

Inclusion Criteria

• (1) Patients age 18 or greater than 18 years.
• (2) Infection at the time of admission to the ICU.

Exclusion Criteria

• (i) Patients are known to be pregnant and lactating women.
• (iii) Patients with missing data will be excluded from the analysis.
• (iv) Patients already septic at ICU admission.

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Early detection of sepsis	15 Months

Secondary Outcome Measures

Name	Time	Method
The risk factors associated with sepsis	15 months

Trial Locations

Locations (1)

Institute of Medical Sciences and Sum Hospital , Siksha O Anusandhan Deemed to be University; 🇮🇳 Khordha, ORISSA, India

Institute of Medical Sciences and Sum Hospital , Siksha O Anusandhan Deemed to be University

🇮🇳Khordha, ORISSA, India

BHAGYASHREE MOHANTY

Principal investigator

7854011149

mohanty.bhagyashree25@gmail.com