Prognostic value of DCTA scoring system in heart failure
Tian-Jun Zhao1, Qian-Kun Yang2, Li-Dan Bi1
1Department of Cardiology, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, No.33 Wenyi Road, Shenhe District, 110016, Shenyang, China.
Insights
A new scoring system using D-dimer, cholesterol, hs-cTnT, and albumin effectively predicts adverse outcomes in heart failure patients. This tool aids in identifying high-risk individuals for better management.
Area of Science:
- Cardiology
- Biomarker Research
- Prognostic Modeling
Background:
- Heart failure (HF) poses a significant clinical challenge, necessitating accurate prognostic tools.
- Existing prognostic models may not fully capture the complexity of HF progression.
- Identifying reliable biomarkers for risk stratification is crucial for patient management.
Purpose of the Study:
- To evaluate the prognostic value of a novel scoring system for heart failure.
- To assess the predictive capability of D-dimer, total cholesterol, high-sensitivity cardiac troponin T (hs-cTnT), and serum albumin levels.
- To establish an easily applicable tool for predicting adverse outcomes in heart failure patients.
Main Methods:
- A retrospective study included 221 patients diagnosed with heart failure.
- Univariate and multivariate Cox proportional hazard models analyzed biomarker significance.
- A novel prognostic score was developed based on D-dimer, total cholesterol, hs-cTnT, and serum albumin.
- Kaplan-Meier analysis and log-rank tests compared outcomes across risk groups.
Main Results:
- High D-dimer and hs-cTnT, along with low serum albumin and total cholesterol, were independent predictors of adverse outcomes.
- Patients were stratified into low-risk and high-risk groups using the novel scoring system.
- Kaplan-Meier analysis confirmed a higher incidence of adverse outcomes in the high-risk group.
Conclusions:
- D-dimer, total cholesterol, hs-cTnT, and serum albumin are independent prognostic factors in heart failure.
- The developed scoring system provides an effective and accessible method for predicting adverse events in heart failure patients.
- This novel tool can aid clinicians in risk stratification and personalized treatment strategies.
Objective:
The aim of this study was to evaluate the prognostic value of a novel scoring system, based on D‑dimer, total cholesterol, high-sensitivity cardiac troponin T (hs-cTnT), and serum albumin levels, in patients with heart failure.
Methods:
A total of 221 patients diagnosed with heart failure between May 2016 to January 2020 were enrolled in this retrospective study. The prognostic significance of the biomarkers D‑dimer, total cholesterol, hs-cTnT, and serum albumin was determined with univariate and multivariate Cox proportional hazard models. A novel prognostic score based on these predictors was established. The Kaplan-Meier method and log-rank test were used to compare the adverse outcomes of patients in different risk groups.
Result:
Results from univariate and multivariate analyses showed that high D‑dimer, low serum albumin, high hs-cTnT, and low total cholesterol levels were independent prognostic factors for adverse outcomes (D-dimer >0.63 mg/l, HR = 1.84, 95% CI = 1.16-2.94, p = 0.010; serum albumin >34 g/l, HR = 0.67, 95% CI = 0.45-0.99, p = 0.046; hs-cTnT >24.06 pg/ml, HR = 1.65, 95% CI = 1.08-2.53, p = 0.020; total cholesterol >3.68 mmol/l, HR = 0.63, 95% CI = 0.43-0.92, p = 0.017). Moreover, all the patients were stratified into low-risk or high-risk group according to a scoring system based on these four markers. Kaplan-Meier analyses demonstrated that patients in the high-risk group were more prone to having adverse outcomes compared with patients in the low-risk group.
Conclusion:
D‑dimer, total cholesterol, hs-cTnT, and serum albumin levels were independent prognostic factors in the setting of heart failure. A novel and comprehensive scoring system based on these biomarkers is an easily available and effective tool for predicting the adverse outcomes of patients with heart failure.
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