ArticleBMC cardiovascular disorders2024
Serum creatinine to cystatin C ratio in relation to heart failure with preserved ejection fraction.
Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Association of Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate With Adverse Outcomes in Heart Failure With Preserved Ejection Fraction.Kidney medicine · 2026Article
- Pericarotid fat density: a novel predictor of cognitive and functional outcomes in cerebral small vessel disease.Frontiers in aging neuroscience · 2026Article
- Muscle or Heart? Functional Impact of Sarcopenia and Heart Failure in Geriatric Inpatients.Journal of clinical medicine · 2025Article
- Interleukin-38 as a potential diagnostic biomarker for heart failure.Biomarkers in medicine · 2025Article
- Association between carotid plaque calcification and clinical outcomes of symptomatic cerebral small vessel disease.Frontiers in neurology · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundSarcopenia was recognized to be one of the common comorbidities in heart failure (HF). The sarcopenia index (SI), based on serum creatinine to cystatin C ratio, was developed as a simple tool to evaluate skeletal muscle mass but has not been well-studied in the correlation of left ventricular ejection fraction (LVEF). The aim of this study is to analyze the SI in patients with HF, especially patients with HF with preserved ejection fraction (HFpEF), and to develop a prediction model for HFpEF.
methodsThe training cohort included 229 hospitalized patients with HF and 73 healthy controls (HCs) from the Third Affiliated Hospital of Soochow University between December 2019 and February 2022. An additional 78 patients with HF hospitalized at the same hospital between March 2022 to June 2023 were considered as an external validation cohort. Binary logistic regression model was used to analyze the influence factors of HFpEF. A prediction model was constructed and optimized based on the least absolute shrinkage and selection operator (LASSO), displayed by Nomogram and verified internally by Bootstrap with 500 resamples.
resultsSI was significantly different between the HF and HC groups (67.95 ± 13.07 vs. 98.57 ± 31.51) and had a significant negative correlation with LVEF. Multivariate logistic regression demonstrated that SI (OR 0.948, 95% CI 0.914-0.983, P = 0.004) was independently associated with HFpEF. The area under the curve (AUC) for the nomogram constructed based on SI was 0.902. The calibration curve was approximately distributed along the reference line in Bootstrap and the decision curve analysis demonstrated significantly better net benefit in the model. The external validation proved the good predictive performance of the model.
conclusionsLower SI is an independent factor associated with hospitalized patients with HF, especially patients with HFpEF. A prediction nomogram based on SI has good predictive power for HFpEF.
trial registrationThe study was registered with the China Clinical Trials Centre Registry (registration number: ChiCTR2200063401).
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