The Prognostic Value of Serum Calcium Levels in Elderly Dilated Cardiomyopathy Patients

Glob Heart. 2024 Feb 28;19(1):25. doi: 10.5334/gh.1304. eCollection 2024.

Abstract

Background: It is unclear whether serum calcium on admission is associated with clinical outcomes in dilated cardiomyopathy (DCM). In this study, we conducted a retrospective study spanning a decade to investigate the prognostic value of baseline calcium in elderly patients with DCM.

Methods: A total of 1,089 consecutive elderly patients (age ≥60 years) diagnosed with DCM were retrospectively enrolled from January 2010 to December 2019. Univariate and multivariate analyses were performed to investigate the association of serum calcium with their clinical outcomes.

Results: In this study, the average age of the subjects was 68.36 ± 6.31 years. Receiver operating characteristic (ROC) curve analysis showed that serum calcium level had a great sensitivity and specificity for predicting in-hospital death, with an AUC of 0.732. Kaplan-Meier survival analysis showed that patients with a serum calcium >8.62 mg/dL had a better prognosis than those with a serum calcium ≤8.62 mg/dL (log-rank χ2 40.84, p < 0.001). After adjusting for several common risk factors, a serum calcium ≤8.62 mg/dL was related to a higher risk of long-term mortality (HR: 1.449; 95% CI: 1.115~1.882; p = 0.005).

Conclusions: Serum calcium level could be served as a simple and affordable tool to evaluate patients' prognosis in DCM.

Keywords: Biomarkers; Clinical study; Diagnostic advances; Geriatric cardiomyopathy.

MeSH terms

  • Aged
  • Calcium*
  • Cardiomyopathy, Dilated* / diagnosis
  • Hospital Mortality
  • Humans
  • Middle Aged
  • Prognosis
  • Retrospective Studies

Substances

  • Calcium

Grants and funding

This study was supported by National Natural Science Foundation (Grant no. 82170339 and 82270241), Natural Science Foundation of Guangdong Province (Grant no. 2023B1515020082), Scientific research project of Guangdong Traditional Chinese Medicine Bureau (Grant no. 20221006) and the Science and Technology Planning Project of Guangzhou (Grant no. 202002030101). The work was not funded by any industry sponsors.