0
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Analysis Of Re-Hospitalizations For Patients With Heart Failure Caused By Coronary Heart Disease: Data Of First Event And Recurrent Event

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The re-hospitalization rate of patients with heart failure remains at a high level, and studies of the subject have focused mainly on event-time outcomes. In addition to using re-hospitalization data with the outcomes of the event-time-count, this study introduces the conditional frailty model, which could help obtain more reasonable results.

          Materials and methods

          This prospective observational cohort study enrolled 1484 patients with heart failure caused by coronary heart disease. The outcomes of heart failure readmissions and the case report form data were collected. Based on the traditional Cox model with event-time outcomes, the mixed effects of a conditional frailty model were added to analyze the event-time-count longitudinal data.

          Results

          The Cox regression model showed that non-manual work, diastolic dysfunction, and better medical compensation increased the risk of heart failure readmission, whereas treatment with beta-blockers decreased the risk. The conditional frailty model further revealed that age, female sex, non-manual work, better medical compensation, longer QRS duration, and treatment with percutaneous coronary intervention increased the risk of heart failure readmission.

          Conclusion

          This study obtained more reliable, reasonable results based on longitudinal data and a mixed model. The results could provide more clinical epidemiological evidence for the management of heart failure.

          Related collections

          Most cited references 35

          • Record: found
          • Abstract: not found
          • Article: not found

          ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC.

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            2016 ESC Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Hospitalizations after heart failure diagnosis a community perspective.

              The purpose of this study was to determine the lifetime burden and risk factors for hospitalization after heart failure (HF) diagnosis in the community. Hospitalizations in patients with HF represent a major public health problem; however, the cumulative burden of hospitalizations after HF diagnosis is unknown, and no consistent risk factors for hospitalization have been identified. We validated a random sample of all incident HF cases in Olmsted County, Minnesota, from 1987 to 2006 and evaluated all hospitalizations after HF diagnosis through 2007. International Classification of Diseases-9th Revision codes were used to determine the primary reason for hospitalization. To account for repeated events, Andersen-Gill models were used to determine the predictors of hospitalization after HF diagnosis. Patients were censored at death or last follow-up. Among 1,077 HF patients (mean age 76.8 years, 582 [54.0%] female), 4,359 hospitalizations occurred over a mean follow-up of 4.7 years. Hospitalizations were common after HF diagnosis, with 895 (83.1%) patients hospitalized at least once, and 721 (66.9%), 577 (53.6%), and 459 (42.6%) hospitalized > or =2, > or =3, and > or =4 times, respectively. The reason for hospitalization was HF in 713 (16.5%) hospitalizations and other cardiovascular in 936 (21.6%), whereas over one-half (n = 2,679, 61.9%) were noncardiovascular. Male sex, diabetes mellitus, chronic obstructive pulmonary disease, anemia, and creatinine clearance <30 ml/min were independent predictors of hospitalization (p < 0.05 for each). Multiple hospitalizations are common after HF diagnosis, though less than one-half are due to cardiovascular causes. Comorbid conditions are strongly associated with hospitalizations, and this information could be used to define effective interventions to prevent hospitalizations in HF patients.
                Bookmark

                Author and article information

                Journal
                Ther Clin Risk Manag
                Ther Clin Risk Manag
                TCRM
                tcriskman
                Therapeutics and Clinical Risk Management
                Dove
                1176-6336
                1178-203X
                14 November 2019
                2019
                : 15
                : 1333-1341
                Affiliations
                [1 ]Department of Cardiology, The 1st Hospital of Shanxi Medical University , Taiyuan, Shanxi Province 030001, People’s Republic of China
                [2 ]Department of Health Statistics, School of Public Health, Shanxi Medical University , Taiyuan, Shanxi Province 030001, People’s Republic of China
                [3 ]Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment , Taiyuan, Shanxi Province 030001, People’s Republic of China
                Author notes
                Correspondence: Qinghua Han Department of Cardiology, The 1st Hospital of Shanxi Medical University , 85 South Jiefang Road, Taiyuan, Shanxi Province030001, People’s Republic of ChinaTel +86 3100113031Fax +86 351 4867146 Email syhqn@sohu.com 
                Yanbo Zhang Department of Health Statistics, School of Public Health, Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Shanxi Medical University , 56 South XinJian Road, Taiyuan, Shanxi Province030001, People’s Republic of ChinaTel/fax +86 3543985051 Email sxmuzyb@126.com
                Article
                218694
                10.2147/TCRM.S218694
                6861516
                © 2019 Tian et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                Page count
                Figures: 3, Tables: 2, References: 38, Pages: 9
                Categories
                Original Research

                Medicine

                heart failure, coronary heart disease, re-hospitalization, conditional frailty model

                Comments

                Comment on this article