Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients
Chronic kidney disease (CKD) is expected to become the fifth leading cause of death globally by 2040. Cardiovascular disease (CVD), particularly heart failure (HF), is a severe complication in CKD patients on hemodialysis. This study aimed to develop a nomogram to predict the risk of heart failure h...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | American Heart Journal Plus |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666602224001307 |
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| author | Jie Luo Zhangru Rui Yun He Hui Li Yang Yuan Wenhong Li |
| author_facet | Jie Luo Zhangru Rui Yun He Hui Li Yang Yuan Wenhong Li |
| author_sort | Jie Luo |
| collection | DOAJ |
| description | Chronic kidney disease (CKD) is expected to become the fifth leading cause of death globally by 2040. Cardiovascular disease (CVD), particularly heart failure (HF), is a severe complication in CKD patients on hemodialysis. This study aimed to develop a nomogram to predict the risk of heart failure hospitalization in hemodialysis patients, providing a valuable tool for clinical decision-making. We retrospectively analyzed data from 196 patients at Kunming Yanan Hospital's hemodialysis center, including demographic, dialysis-related, and laboratory information. Significant HF predictors identified through univariate and multivariate logistic regression were age, diabetes, dialysis duration, left ventricular mass index (LVMI), albumin (ALB), and ejection fraction (EF). These predictors formed the basis of the nomogram, which demonstrated good discrimination (AUC = 0.728) and calibration (Hosmer-Lemeshow test, P = 0.463). Decision curve analysis confirmed the nomogram's clinical utility across various threshold probabilities. This study's findings can help clinicians identify high-risk patients, improving management strategies and potentially reducing HF-related hospitalizations in the hemodialysis population. |
| format | Article |
| id | doaj-art-85563b40b2564a29a90947c7c544db47 |
| institution | Kabale University |
| issn | 2666-6022 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | American Heart Journal Plus |
| spelling | doaj-art-85563b40b2564a29a90947c7c544db472025-01-07T04:17:31ZengElsevierAmerican Heart Journal Plus2666-60222025-01-0149100487Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patientsJie Luo0Zhangru Rui1Yun He2Hui Li3Yang Yuan4Wenhong Li5Corresponding author.; YAN'AN Hospital of Kunming City, Kunming 650051, ChinaYAN'AN Hospital of Kunming City, Kunming 650051, ChinaYAN'AN Hospital of Kunming City, Kunming 650051, ChinaYAN'AN Hospital of Kunming City, Kunming 650051, ChinaYAN'AN Hospital of Kunming City, Kunming 650051, ChinaYAN'AN Hospital of Kunming City, Kunming 650051, ChinaChronic kidney disease (CKD) is expected to become the fifth leading cause of death globally by 2040. Cardiovascular disease (CVD), particularly heart failure (HF), is a severe complication in CKD patients on hemodialysis. This study aimed to develop a nomogram to predict the risk of heart failure hospitalization in hemodialysis patients, providing a valuable tool for clinical decision-making. We retrospectively analyzed data from 196 patients at Kunming Yanan Hospital's hemodialysis center, including demographic, dialysis-related, and laboratory information. Significant HF predictors identified through univariate and multivariate logistic regression were age, diabetes, dialysis duration, left ventricular mass index (LVMI), albumin (ALB), and ejection fraction (EF). These predictors formed the basis of the nomogram, which demonstrated good discrimination (AUC = 0.728) and calibration (Hosmer-Lemeshow test, P = 0.463). Decision curve analysis confirmed the nomogram's clinical utility across various threshold probabilities. This study's findings can help clinicians identify high-risk patients, improving management strategies and potentially reducing HF-related hospitalizations in the hemodialysis population.http://www.sciencedirect.com/science/article/pii/S2666602224001307Chronic kidney disease (CKD)HemodialysisHeart failure (HF)Cardiovascular disease (CVD)Predictive nomogram |
| spellingShingle | Jie Luo Zhangru Rui Yun He Hui Li Yang Yuan Wenhong Li Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients American Heart Journal Plus Chronic kidney disease (CKD) Hemodialysis Heart failure (HF) Cardiovascular disease (CVD) Predictive nomogram |
| title | Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients |
| title_full | Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients |
| title_fullStr | Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients |
| title_full_unstemmed | Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients |
| title_short | Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients |
| title_sort | establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients |
| topic | Chronic kidney disease (CKD) Hemodialysis Heart failure (HF) Cardiovascular disease (CVD) Predictive nomogram |
| url | http://www.sciencedirect.com/science/article/pii/S2666602224001307 |
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