Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failure
BackgroundHeart failure (HF) is a common and serious complication in maintenance hemodialysis (MHD) patients, significantly affecting their prognosis and quality of life. This study aims to identify risk factors for HF and evaluate targeted, risk-based nursing interventions.MethodsA total of 170 MHD...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2025.1600223/full |
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| author | Guiren Hou Sai Chen |
| author_facet | Guiren Hou Sai Chen |
| author_sort | Guiren Hou |
| collection | DOAJ |
| description | BackgroundHeart failure (HF) is a common and serious complication in maintenance hemodialysis (MHD) patients, significantly affecting their prognosis and quality of life. This study aims to identify risk factors for HF and evaluate targeted, risk-based nursing interventions.MethodsA total of 170 MHD patients admitted between January 2022 and January 2024 were divided into HF (n = 80) and non-HF groups (n = 90) based on the presence or absence of HF. Risk factors were analyzed using univariate and multivariate logistic regression. Subsequently, 80 HF patients were randomized to standard group (n = 40) or study group receiving targeted risk management strategies (n = 40). The intervention lasted 8 weeks and included comprehensive nursing measures based on individualized risk profiles. Outcome measures included Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), complications, quality of life (SF-36), and nursing satisfaction.ResultsUnivariate analysis identified age (OR = 1.076), dialysis duration (OR = 1.054), hypertension (OR = 3.391), diabetes (OR = 2.874), coronary heart disease (OR = 3.115), smoking history (OR = 1.976), HbA1c (OR = 18.675), and C-reactive protein (CRP; OR = 1.466) as risk factors for HF in MHD patients (P < 0.05). Multivariate logistic regression analysis confirmed age (OR = 1.079), HbA1c (OR = 20.371), and CRP (OR = 1.542) as independent risk factors. After management, compared with the standard group, the study group showed significant reductions in SAS and SDS scores and complication incidence (P < 0.05). The quality of life and nursing satisfaction significantly improved in the study group (P < 0.05).ConclusionAge, hyperglycemia, inflammation, and comorbidities (hypertension, diabetes, coronary heart disease) independently increase HF risk in MHD patients. Targeted risk management reduces psychological distress, complications, and enhances care outcomes. |
| format | Article |
| id | doaj-art-f69fa5563aed4bbc8e0f203be49fe00d |
| institution | DOAJ |
| issn | 2297-055X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj-art-f69fa5563aed4bbc8e0f203be49fe00d2025-08-20T03:20:12ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2025-06-011210.3389/fcvm.2025.16002231600223Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failureGuiren HouSai ChenBackgroundHeart failure (HF) is a common and serious complication in maintenance hemodialysis (MHD) patients, significantly affecting their prognosis and quality of life. This study aims to identify risk factors for HF and evaluate targeted, risk-based nursing interventions.MethodsA total of 170 MHD patients admitted between January 2022 and January 2024 were divided into HF (n = 80) and non-HF groups (n = 90) based on the presence or absence of HF. Risk factors were analyzed using univariate and multivariate logistic regression. Subsequently, 80 HF patients were randomized to standard group (n = 40) or study group receiving targeted risk management strategies (n = 40). The intervention lasted 8 weeks and included comprehensive nursing measures based on individualized risk profiles. Outcome measures included Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), complications, quality of life (SF-36), and nursing satisfaction.ResultsUnivariate analysis identified age (OR = 1.076), dialysis duration (OR = 1.054), hypertension (OR = 3.391), diabetes (OR = 2.874), coronary heart disease (OR = 3.115), smoking history (OR = 1.976), HbA1c (OR = 18.675), and C-reactive protein (CRP; OR = 1.466) as risk factors for HF in MHD patients (P < 0.05). Multivariate logistic regression analysis confirmed age (OR = 1.079), HbA1c (OR = 20.371), and CRP (OR = 1.542) as independent risk factors. After management, compared with the standard group, the study group showed significant reductions in SAS and SDS scores and complication incidence (P < 0.05). The quality of life and nursing satisfaction significantly improved in the study group (P < 0.05).ConclusionAge, hyperglycemia, inflammation, and comorbidities (hypertension, diabetes, coronary heart disease) independently increase HF risk in MHD patients. Targeted risk management reduces psychological distress, complications, and enhances care outcomes.https://www.frontiersin.org/articles/10.3389/fcvm.2025.1600223/fullhemodialysisheart failurerisk factorsrisk management strategiesprognosis |
| spellingShingle | Guiren Hou Sai Chen Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failure Frontiers in Cardiovascular Medicine hemodialysis heart failure risk factors risk management strategies prognosis |
| title | Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failure |
| title_full | Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failure |
| title_fullStr | Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failure |
| title_full_unstemmed | Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failure |
| title_short | Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failure |
| title_sort | analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart failure |
| topic | hemodialysis heart failure risk factors risk management strategies prognosis |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2025.1600223/full |
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