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Development and validation of a score predicting mortality for older patients with mitral regurgitation
De-Jing Feng1, Yun-Qing Ye1, Zhe Li1
1Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Insights
A new Elder-MR score effectively predicts one-year mortality in older patients with mitral regurgitation (MR). This user-friendly tool aids clinical decisions by stratifying risk based on eight key predictors.
Area of Science:
- Cardiology
- Geriatrics
- Medical Informatics
Background:
- Older adults with mitral regurgitation (MR) face significant mortality risks.
- Accurate risk stratification is crucial for guiding treatment decisions in this population.
Purpose of the Study:
- To develop and validate the Elder-MR score, a user-friendly tool for predicting one-year mortality in elderly patients with MR.
Main Methods:
- Utilized the China Senile Valvular Heart Disease (China-DVD) Cohort Study for development and the China Valvular Heart Disease (China-VHD) Study for external validation.
- Included 2274 (development) and 1929 (validation) patients aged 60+ with moderate/severe MR.
- Identified predictors using Cox proportional hazards model and stepwise selection.
Main Results:
- Eight predictors identified: age ≥ 75, low BMI, NYHA class III/IV, secondary MR, anemia, low eGFR, low albumin, and reduced LVEF.
- The Elder-MR score demonstrated good predictive performance (C-statistic=0.73 in both cohorts).
- Each point increase in Elder-MR score correlated with increased mortality risk (HR 1.27 development, 1.24 validation).
Conclusions:
- The Elder-MR score is a validated, user-friendly tool for risk stratification in older MR patients.
- It shows superior predictive accuracy compared to EuroSCORE II.
- The score can assist clinicians in making informed treatment decisions.
Objective:
To develop and validate a user-friendly risk score for older mitral regurgitation (MR) patients, referred to as the Elder-MR score.
Methods:
The China Senile Valvular Heart Disease (China-DVD) Cohort Study functioned as the development cohort, while the China Valvular Heart Disease (China-VHD) Study was employed for external validation. We included patients aged 60 years and above receiving medical treatment for moderate or severe MR (2274 patients in the development cohort and 1929 patients in the validation cohort). Candidate predictors were chosen using Cox's proportional hazards model and stepwise selection with Akaike's information criterion.
Results:
Eight predictors were identified: age ≥ 75 years, body mass index < 20 kg/m2, NYHA class III/IV, secondary MR, anemia, estimated glomerular filtration rate < 60 mL/min per 1.73 m2, albumin < 35 g/L, and left ventricular ejection fraction < 60%. The model displayed satisfactory performance in predicting one-year mortality in both the development cohort (C-statistic = 0.73, 95% CI: 0.69-0.77, Brier score = 0.06) and the validation cohort (C-statistic = 0.73, 95% CI: 0.68-0.78, Brier score = 0.06). The Elder-MR score ranges from 0 to 15 points. At a one-year follow-up, each point increase in the Elder-MR score represents a 1.27-fold risk of death (HR = 1.27, 95% CI: 1.21-1.34, P < 0.001) in the development cohort and a 1.24-fold risk of death (HR = 1.24, 95% CI: 1.17-1.30, P < 0.001) in the validation cohort. Compared to EuroSCORE II, the Elder-MR score demonstrated superior predictive accuracy for one-year mortality in the validation cohort (C-statistic = 0.71 vs. 0.70, net reclassification improvement = 0.320, P < 0.01; integrated discrimination improvement = 0.029, P < 0.01).
Conclusions:
The Elder-MR score may serve as an effective risk stratification tool to assist clinical decision-making in older MR patients.
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