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Published on: May 16, 2020
High-density lipoprotein cholesterol levels and prognosis in non-ischemic dilated cardiomyopathy
Chao Gong1, Mengmeng Zhou2, Shenzhen Gong1
1Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Insights
Lower high-density lipoprotein cholesterol (HDL-C) levels are linked to worse outcomes in non-ischemic dilated cardiomyopathy (DCM). This readily available biomarker can help identify patients at higher risk for adverse events.
Area of Science:
- Cardiology
- Biomarkers
- Heart Failure Research
Background:
- Low high-density lipoprotein cholesterol (HDL-C) is linked to poor heart failure outcomes.
- The prognostic value of HDL-C in non-ischemic dilated cardiomyopathy (DCM) is not well-defined.
Purpose of the Study:
- To investigate the association between HDL-C levels and long-term clinical outcomes in patients with DCM.
- To determine if HDL-C can serve as a prognostic biomarker in non-ischemic DCM.
Main Methods:
- Retrospective enrollment of 297 DCM patients who underwent cardiac magnetic resonance.
- Assessment of primary (mortality, heart transplantation) and secondary (heart failure readmission) endpoints.
- Analysis using Kaplan-Meier, Cox regression, and restricted cubic spline (RCS) models.
Main Results:
- Higher HDL-C levels correlated with significantly better event-free survival for both primary and secondary endpoints.
- Lower HDL-C was independently associated with increased risk of adverse outcomes.
- The association was partly attenuated after adjusting for pulmonary hypertension markers.
Conclusions:
- Lower HDL-C levels are independently associated with adverse outcomes in non-ischemic DCM.
- HDL-C may serve as a valuable, accessible prognostic biomarker for risk stratification in DCM patients.
Background:
Although low high-density lipoprotein cholesterol (HDL-C) is associated with poor outcomes in heart failure, its specific prognostic role in non-ischemic dilated cardiomyopathy (DCM) remains undefined. This study aimed to investigate the association between HDL-C levels and long-term clinical outcomes in patients with DCM.
Methods:
We retrospectively enrolled 297 patients with DCM who underwent cardiac magnetic resonance between January 2017 and October 2024. The primary endpoint was a composite of all-cause mortality and heart transplantation; the secondary endpoint additionally included heart failure readmission. The associations between HDL-C and clinical outcomes were assessed using Kaplan-Meier analysis, Cox regression, restricted cubic spline (RCS), and sensitivity analyses.
Results:
During a median follow-up of 35 months, 41 (13.8%) and 97 (32.7%) patients experienced the primary and secondary endpoints, respectively. Kaplan-Meier analysis demonstrated that patients with higher HDL-C had significantly better event-free survival for both the primary and secondary endpoints (log-rank P < 0.001 for both). In multivariable Cox regression models, lower HDL-C was consistently and independently associated with an increased risk of the primary (hazard ratio [HR] 0.19, 95% confidence interval [CI]: 0.05-0.68, P = 0.011) and secondary (HR 0.15, 95% CI: 0.07-0.34, P < 0.001) endpoints. After further adjustment for echocardiographically estimated pulmonary artery systolic pressure, the effect estimate for the association between HDL-C and clinical outcomes was attenuated (primary endpoint: HR 0.31, 95% CI: 0.08-1.11, P = 0.072; secondary endpoint: HR 0.19, 95% CI: 0.08-0.44, P < 0.001). RCS curves showed a linear relationship between HDL-C and both endpoints (P for nonlinearity > 0.05 for both). Sensitivity analyses confirmed the robustness of the results.
Conclusions:
Lower HDL-C levels were independently associated with adverse outcomes in patients with non-ischemic DCM, an association partly attenuated by adjusting for pulmonary hypertension markers. As a readily available prognostic biomarker, HDL-C may inform risk stratification in this population.
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