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Updated: Aug 3, 2025
Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
The GLVC scoring system: a single-center model for predicting survival and hospitalization in patients with heart
Anna Chuda-Wietczak1,2, Agata Sakowicz3, Agnieszka Tycinska4
1Heart Failure Unit, Department of Cardiology and Congenital Diseases of Adults, Polish Mother's Memorial Hospital Research Institute, Rzgowska 281/289, Lodz, 93-338, Poland. annachuda.ac@gmail.com.
Insights
A new GLVC score using global longitudinal peak strain, left ventricular diastolic diameter, oxygen pulse, and hs-CRP effectively predicts adverse clinical events in heart failure patients. This tool stratifies risk, aiding in better patient management.
Area of Science:
- Cardiology
- Clinical Medicine
- Biomarkers
Background:
- Heart failure (HF) incidence is rising globally, posing a significant public health challenge.
- Identifying predictors of adverse clinical events is crucial for managing HF patients.
Purpose of the Study:
- To identify predictors of adverse clinical events in heart failure patients.
- To develop and evaluate a novel personalized prognostic scoring system for HF.
Main Methods:
- A cohort of 113 heart failure patients was analyzed.
- A new prognostic score, GLVC (Global Longitudinal Peak Strain, Left Ventricular Diastolic Diameter, Oxygen Pulse, hs-CRP), was developed.
- Kaplan-Meier analysis and log-rank tests were used to assess clinical events.
Main Results:
- Low global longitudinal peak strain, high left ventricular diastolic diameter, low oxygen pulse, and high hs-CRP were independent predictors of adverse events.
- The GLVC score stratified patients into low-risk and high-risk groups.
- High-risk patients demonstrated a significantly higher incidence of adverse clinical events.
Conclusions:
- The GLVC scoring system is a novel, comprehensive, and effective tool for predicting adverse outcomes in heart failure.
- This personalized score offers an easily accessible method for risk stratification in HF management.
Background:
Heart failure (HF) is the only cardiovascular disease with an ever-increasing incidence.
Aims:
The aim of this study was to assess the predictors of adverse clinical events (CE) and the creation and evaluation of the prognostic value of a novel personalized scoring system in patients with HF.
Methods:
The study included 113 HF patients (median age 64 years (IQR 58-69); 57.52% male). The new novel prognostic score named GLVC (G, global longitudinal peak strain (GLPS); L, left ventricular diastolic diameter (LVDD); V, oxygen pulse (VO2/HR); and C, high sensitivity C-reactive protein (hs-CRP)) was created. The Kaplan-Meier method and log-rank test were used to compare the CE.
Results:
Results from final analyses showed that low GLPS (< 13.9%, OR = 2.66, 95% CI = 1.01-4.30, p = 0.002), high LVDD (> 56 mm, OR = 2.37, 95% CI = 1.01-5.55, p = 0.045), low oxygen pulse (< 10, OR = 2.8, 95% CI = 1.17-6.70, p = 0.019), and high hs-CRP (> 2.38 µg/ml, OR = 2.93, 95% CI = 1.31-6.54, p = 0.007) were independent prognostic factors for adverse CE in HF population. All the patients were stratified into a low-risk or high-risk group according to a novel "GLVC" scoring system. The Kaplan-Meier analyses demonstrated that patients in the high-risk group were more predisposed to having higher adverse clinical events compared to patients in the low-risk group.
Conclusions:
A novel and comprehensive personalized "GLVC" scoring system is an easily available and effective tool for predicting the adverse outcomes in HF.
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