{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T15:38:41Z","timestamp":1791819521566,"version":"4.3.4"},"reference-count":33,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T00:00:00Z","timestamp":1750032000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Cardiovasc. Med."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Heart 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A total of 170 MHD patients admitted between January 2022 and January 2024 were divided into HF (<jats:italic>n<\/jats:italic>\u2009=\u200980) and non-HF groups (<jats:italic>n<\/jats:italic>\u2009=\u200990) 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 (<jats:italic>n<\/jats:italic>\u2009=\u200940) or study group receiving targeted risk management strategies (<jats:italic>n<\/jats:italic>\u2009=\u200940). 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Univariate analysis identified age (OR\u2009=\u20091.076), dialysis duration (OR\u2009=\u20091.054), hypertension (OR\u2009=\u20093.391), diabetes (OR\u2009=\u20092.874), coronary heart disease (OR\u2009=\u20093.115), smoking history (OR\u2009=\u20091.976), HbA1c (OR\u2009=\u200918.675), and C-reactive protein (CRP; OR\u2009=\u20091.466) as risk factors for HF in MHD patients (<jats:italic>P<\/jats:italic>\u2009&amp;lt;\u20090.05). Multivariate logistic regression analysis confirmed age (OR\u2009=\u20091.079), HbA1c (OR\u2009=\u200920.371), and CRP (OR\u2009=\u20091.542) 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 (<jats:italic>P<\/jats:italic>\u2009&amp;lt;\u20090.05). The quality of life and nursing satisfaction significantly improved in the study group (<jats:italic>P<\/jats:italic>\u2009&amp;lt;\u20090.05).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Age, 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.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fcvm.2025.1600223","type":"journal-article","created":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T06:09:05Z","timestamp":1750054145000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Analysis of risk factors and application of risk management strategies in hemodialysis patients complicated with heart 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