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      Cost-of-illness studies in heart failure: a systematic review 2004–2016

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          Abstract

          Background

          Heart failure is a major and growing medical and economic problem worldwide as 1–2% of the healthcare budget are spent for heart failure. The prevalence of heart failure has increased over the past decades and it is expected that there will be further raise due to the higher proportion of elderly in the western societies. In this context cost-of-illness studies can significantly contribute to a better understanding of the drivers and problems which lead to the increasing costs in heart failure.

          The aim of this study was to perform a systematic review of published cost-of-illness studies related to heart failure to highlight the increasing cost impact of heart failure.

          Methods

          A systematic review was conducted from 2004 to 2016 to identify cost-of-illness studies related to heart failure, searching PubMed (Medline), Cochrane, Science Direct (Embase), Scopus and CRD York Database.

          Results

          Of the total of 16 studies identified, 11 studies reported prevalence-based estimates, 2 studies focused on incidence-based data and 3 articles presented both types of cost data. A large variation concerning cost components and estimates can be noted. Only three studies estimated indirect costs. Most of the included studies have shown that the costs for hospital admission are the most expensive cost element. Estimates for annual prevalence-based costs for heart failure patients range from $868 for South Korea to $25,532 for Germany. The lifetime costs for heart failure patients have been estimated to $126.819 per patient.

          Conclusions

          Our review highlights the considerable and growing economic burden of heart failure on the health care systems. The cost-of-illness studies included in this review show large variations in methodology used and the cost results vary consequently. High quality data from cost-of-illness studies with a robust methodology applied can inform policy makers about the major cost drivers of heart failure and can be used as the basis of further economic evaluations.

          Electronic supplementary material

          The online version of this article (10.1186/s12872-018-0815-3) contains supplementary material, which is available to authorized users.

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          Most cited references53

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          ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008: the Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2008 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association of the ESC (HFA) and endorsed by the European Society of Intensive Care Medicine (ESICM).

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            Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial.

            Results of previous studies support the hypothesis that implantable haemodynamic monitoring systems might reduce rates of hospitalisation in patients with heart failure. We undertook a single-blind trial to assess this approach. Patients with New York Heart Association (NYHA) class III heart failure, irrespective of the left ventricular ejection fraction, and a previous hospital admission for heart failure were enrolled in 64 centres in the USA. They were randomly assigned by use of a centralised electronic system to management with a wireless implantable haemodynamic monitoring (W-IHM) system (treatment group) or to a control group for at least 6 months. Only patients were masked to their assignment group. In the treatment group, clinicians used daily measurement of pulmonary artery pressures in addition to standard of care versus standard of care alone in the control group. The primary efficacy endpoint was the rate of heart-failure-related hospitalisations at 6 months. The safety endpoints assessed at 6 months were freedom from device-related or system-related complications (DSRC) and freedom from pressure-sensor failures. All analyses were by intention to treat. This trial is registered with ClinicalTrials.gov, number NCT00531661. In 6 months, 83 heart-failure-related hospitalisations were reported in the treatment group (n=270) compared with 120 in the control group (n=280; rate 0·31 vs 0·44, hazard ratio [HR] 0·70, 95% CI 0·60-0·84, p<0·0001). During the entire follow-up (mean 15 months [SD 7]), the treatment group had a 39% reduction in heart-failure-related hospitalisation compared with the control group (153 vs 253, HR 0·64, 95% CI 0·55-0·75; p<0·0001). Eight patients had DSRC and overall freedom from DSRC was 98·6% (97·3-99·4) compared with a prespecified performance criterion of 80% (p<0·0001); and overall freedom from pressure-sensor failures was 100% (99·3-100·0). Our results are consistent with, and extend, previous findings by definitively showing a significant and large reduction in hospitalisation for patients with NYHA class III heart failure who were managed with a wireless implantable haemodynamic monitoring system. The addition of information about pulmonary artery pressure to clinical signs and symptoms allows for improved heart failure management. CardioMEMS. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Burden of systolic and diastolic ventricular dysfunction in the community: appreciating the scope of the heart failure epidemic.

              Approximately half of patients with overt congestive heart failure (CHF) have diastolic dysfunction without reduced ejection fraction (EF). Yet, the prevalence of diastolic dysfunction and its relation to systolic dysfunction and CHF in the community remain undefined. To determine the prevalence of CHF and preclinical diastolic dysfunction and systolic dysfunction in the community and determine if diastolic dysfunction is predictive of all-cause mortality. Cross-sectional survey of 2042 randomly selected residents of Olmsted County, Minnesota, aged 45 years or older from June 1997 through September 2000. Doppler echocardiographic assessment of systolic and diastolic function. Presence of CHF diagnosis by review of medical records with designation as validated CHF if Framingham criteria are satisfied. Subjects without a CHF diagnosis but with diastolic or systolic dysfunction were considered as having either preclinical diastolic or preclinical systolic dysfunction. The prevalence of validated CHF was 2.2% (95% confidence interval [CI], 1.6%-2.8%) with 44% having an EF higher than 50%. Overall, 20.8% (95% CI, 19.0%-22.7%) of the population had mild diastolic dysfunction, 6.6% (95% CI, 5.5%-7.8%) had moderate diastolic dysfunction, and 0.7% (95% CI, 0.3%-1.1%) had severe diastolic dysfunction with 5.6% (95% CI, 4.5%-6.7%) of the population having moderate or severe diastolic dysfunction with normal EF. The prevalence of any systolic dysfunction (EF < or =50%) was 6.0% (95% CI, 5.0%-7.1%) with moderate or severe systolic dysfunction (EF < or =40%) being present in 2.0% (95% CI, 1.4%-2.5%). CHF was much more common among those with systolic or diastolic dysfunction than in those with normal ventricular function. However, even among those with moderate or severe diastolic or systolic dysfunction, less than half had recognized CHF. In multivariate analysis, controlling for age, sex, and EF, mild diastolic dysfunction (hazard ratio, 8.31 [95% CI, 3.00-23.1], P<.001) and moderate or severe diastolic dysfunction (hazard ratio, 10.17 [95% CI, 3.28-31.0], P<.001) were predictive of all-cause mortality. In the community, systolic dysfunction is frequently present in individuals without recognized CHF. Furthermore, diastolic dysfunction as rigorously defined by comprehensive Doppler techniques is common, often not accompanied by recognized CHF, and associated with marked increases in all-cause mortality.
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                Author and article information

                Contributors
                wladimir.lesyuk@uk-erlangen.de
                christinekriza@hotmail.com
                Peter.Kolominsky@uk-erlangen.de
                Journal
                BMC Cardiovasc Disord
                BMC Cardiovasc Disord
                BMC Cardiovascular Disorders
                BioMed Central (London )
                1471-2261
                2 May 2018
                2 May 2018
                2018
                : 18
                : 74
                Affiliations
                [1 ]ISNI 0000 0001 2107 3311, GRID grid.5330.5, Centre for Health Technology Assessment (HTA) and Public Health (IZPH), , Friedrich-Alexander-University Erlangen-Nürnberg, ; Erlangen, Germany
                [2 ]National Leading-Edge Cluster Medical Technologies ‘Medical Valley EMN’, Erlangen, Bavaria Germany
                Author information
                http://orcid.org/0000-0002-2126-9143
                Article
                815
                10.1186/s12872-018-0815-3
                5930493
                29716540
                c1070ef2-d98b-4b93-831d-2505a839a23c
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 5 November 2017
                : 20 April 2018
                Funding
                Funded by: Medical Technologies – Medical Vallex EMN
                Award ID: 13EX1013B
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Cardiovascular Medicine
                heart failure,cost-of-illness,economic burden,heart disease
                Cardiovascular Medicine
                heart failure, cost-of-illness, economic burden, heart disease

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