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Performance of Prognostic Risk Scores in Elderly Chinese Patients with Heart Failure

Yalin Cheng1, Ke Chai1, Wanrong Zhu1

  • 1Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.

Clinical Interventions in Aging
|September 24, 2021
PubMed

Insights

The Seattle Heart Failure Model (SHFM) demonstrated superior accuracy over the MAGGIC score for predicting 1-year mortality in elderly Chinese patients with heart failure (HF). This validation is crucial for improving risk stratification in this vulnerable population.

Area of Science:

  • Cardiology
  • Geriatrics
  • Public Health

Background:

  • Elderly patients with heart failure (HF) exhibit distinct clinical profiles and poorer prognoses than younger individuals.
  • Existing prognostic risk scores for HF often lack robust validation in elderly populations.
  • Accurate risk assessment is vital for tailoring management strategies in geriatric HF patients.

Purpose of the Study:

  • To validate the prognostic performance of the Seattle Heart Failure Model (SHFM) and the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score.
  • To assess the discrimination, calibration, and reclassification capabilities of both scores in an elderly Chinese HF cohort.
  • To determine which risk score offers superior prediction of 1-year mortality in this specific demographic.

Main Methods:

  • Retrospective analysis of 675 elderly HF patients (age ≥70 years) discharged between 2012 and 2017.
  • Evaluation of risk score performance using receiver-operating characteristic (ROC) analysis for discrimination.
  • Assessment of calibration via calibration plots and the Hosmer-Lemeshow (H-L) test, with net reclassification index (NRI) for comparison.

Main Results:

  • The SHFM showed better discrimination (c-statistic 0.72) than the MAGGIC score (c-statistic 0.67, P=0.05).
  • SHFM demonstrated superior calibration (H-L χ²=8.2, P=0.41) compared to the MAGGIC score (H-L χ²=18.8, P=0.02) for 1-year mortality.
  • The SHFM achieved a significantly higher net reclassification index (NRI) of 2.96% (P<0.0001) compared to the MAGGIC score.

Conclusions:

  • The Seattle Heart Failure Model (SHFM) exhibits superior performance compared to the MAGGIC score in predicting 1-year mortality for elderly Chinese HF patients.
  • SHFM provides good discrimination, calibration, and risk classification, making it a reliable tool for this population.
  • These findings support the use of SHFM for improved prognostic assessment and clinical decision-making in elderly Chinese individuals with heart failure.
Abstract

Keywords:
elderly patientheart failureprognosisrisk score

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