Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background: Sepsis, a life-threatening condition characterized by a dysregulated immune response to infection, remains a significant clinical challenge globally. This study aims to enhance the predictive accuracy of existing sepsis severity scores by developing augmented versions of the SOFA and SAPS-III models, termed Pro-SOFA and Pro-SAPS, through the integration of biomarkers procalcitonin (PCT), neutrophil-to-lymphocyte ratio (NLR), and C-reactive protein (CRP). Methods: This prospective observational study was conducted in the medical ICU of a tertiary care hospital in southern India from August 2022 to December 2023. A total of 301 adult patients suspected or confirmed to have sepsis were assessed for eligibility, with 171 patients completing the study. Demographic and clinical data were collected; SOFA and SAPS-III scores were calculated and augmented with PCT, NLR, and CRP to develop Pro-SOFA and Pro-SAPS models. The performance of these models was evaluated using Brier scores, AUC, and net reclassification index (NRI). Results: < 0.01). Conclusion and clinical significance: Integrating PCT, CRP, and NLR with SOFA and SAPS-III scores to develop Pro-SOFA and Pro-SAPS significantly improves the predictive accuracy for sepsis mortality and can thus potentially improve sepsis outcomes. How to cite this article: Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores. Indian J Crit Care Med 2024;28(10):935-941.
Authors: Zubair U Mohamed, Merlin Moni, Dipu T Sathyapalan, Anandakrishnan Nandakumar, Shashank Sudeep, Aryalakshmi Chakkalamparambath Sreemohan, Sreedhar Vijayakumar, Gayathri Jayasree Sudhakaran, Georg Gutjahr, Rahul K Pathinaruporthi, Sabarish Balachandran, Subash Chandra, Shyam Sundar Purushothaman, Sashi N Nair
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4402993158