Article

A Novel Scoring System for Coronary Care Unit Patients: Merging SAPS 2 and Troponin I for Improved Prognostication

2025-03-18

Abstract excerpt

<title>Abstract</title> <p>Aims This study aimed to develop a novel prognostic scoring system for coronary care unit (CCU) patients by integrating the Simplified Acute Physiology Score II (SAPS II) with cardiac-specific biomarkers, including Troponin I (Trop I), NT-proBNP, lactate, AST, and ALT. The objective was to enhance the prediction of in-hospital mortality by addressing limitations of existing scoring sys...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: bfc4ab8c-2244-5b66-8077-817035220701
DOI: 10.21203/rs.3.rs-6156649/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Novel Scoring System for Coronary Care Unit Patients: Merging SAPS 2 and Troponin I for Improved PrognosticationDOI 10.21203/rs.3.rs-6156649/v1Read

A Novel Scoring System for Coronary Care Unit Patients: Merging SAPS 2 and Troponin I for Improved PrognosticationSemantic proximity Read

Assessing the Utility of the HEART Score in the Era of High-Sensitivity TroponinSemantic proximity Read

Assessing the Utility of the HEART Score in the Era of High-Sensitivity TroponinSemantic proximity Read

A simplification of the Kaiser Permanente inpatient risk adjustment methodology accurately predicted in-hospital mortality: A retrospective cohort studySemantic proximity Read

A 9-Variable Lactate-to-Albumin Ratio-Driven Clinical Risk Score for Early Mortality Prediction in Very Elderly Mechanically Ventilated ICU Patients: Multicenter Derivation and External ValidationSemantic proximity Read

Machine learning models for early prognosis prediction in cardiogenic shockSemantic proximity Read

Predicting the Unpredictable: Machine Learning's Role in Sepsis Cardiac Arrest MortalitySemantic proximity Read

Predictive value of Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring in patients admitted to intensive care unitsSemantic proximity Read

Application Of Multi-Inflammatory Index To Predict 28-Day Mortality In ICU Patients With Heart Failure: A Retrospective Machine Learning Study Based On The MIMIC-IV DatabaseSemantic proximity Read

Head-to-head comparison of seven prognostic scoring systems for predicting in-hospital mortality and mechanical ventilation need in CAP patients with comorbidities: a retrospective cohort studySemantic proximity Read

Nomogram Model Establishment for Short-Term Survival Prediction in Hypothyroidism Patients with Heart Failure Based on the MIMIC-IV DatabaseSemantic proximity Read

The establishment and optimization of a long-term prognosis assessment model for patients in sepsis combined with heart failure: Based on the Medical Information Mart for Intensive Care IV databaseSemantic proximity Read