| Autor: |
Yi-Wei Chung, Jen-Fang Cheng, Yen-Liang Lin, Hung-Jui Chuang, Chia-Chuan Chuang, Cheng-Wei Chen, Wei-Ming Huang, Cho-Kai Wu, Lian-Yu Lin |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Journal of the Formosan Medical Association, Vol 123, Iss 12, Pp 1260-1266 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
0929-6646 |
| DOI: |
10.1016/j.jfma.2024.02.008 |
| Popis: |
Background: While Reddy proposed the H2FPEF diagnostic algorithm to aid in diagnosing heart failure with preserved ejection fraction (HFpEF), certain parameters like age and obesity are not suitable for Asian population, especially given the increasing incidence of HFpEF in younger individuals. Therefore, this study aimed to develop an easy-to-use nomogram with non-invasive indices that can be used in outpatient clinics in Taiwan to quickly estimate the probability of HFpEF and help decide whether further invasive cardiopulmonary exercise test (CPET) is needed. Methods: Outpatients with unexplained dyspnea and fatigue were recruited divided into HFpEF (n = 64) and non-HFpEF (n = 34) groups based on invasive CPET and echocardiography. Multivariate logistic regression analyses identified independent noninvasive variables for developing an HFpEF nomogram. The nomogram's performance was assessed and validated using the concordance index (C-index), area under the curve (AUC), calibration curves, and decision curve analysis. Results: Multivariate logistic regression analyses identified five independent noninvasive variables for developing an HFpEF nomogram, including dyslipidemia (OR = 5.264, p = 0.010), diabetes (OR = 3.929, p = 0.050), left atrial area (OR = 1.130, p = 0.046), hemoglobin |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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