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

      Decrements in health‐related quality of life associated with adverse events in people with diabetes

      research-article
      , MSc 1 , 2 , , , DPhil 1 , , MD 3 , 4 , , MBBS 2 , 3 , 4 , , DPhil 1 , 5 , ASCEND Study Collaborative Group
      Diabetes, Obesity & Metabolism
      Blackwell Publishing Ltd
      cardiovascular disease, diabetes complications, health economics

      Read this article at

      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

          Aim

          To estimate the decrements in health‐related quality of life (QoL) associated with a range of adverse events to inform assessments of the effects of diabetes treatments on QoL in contemporary clinical practice.

          Methods

          Participants' QoL utility measures were derived from the five‐level EuroQoL five‐dimensional (EQ‐5D‐5L) questionnaires completed by 11 683 ASCEND participants (76% of 15 480 recruited). EQ‐5D utility decrements associated with cardiovascular (myocardial infarction, coronary revascularization, transient ischaemic attack [TIA], ischaemic stroke, heart failure), bleeding (gastrointestinal [GI] bleed, intracranial haemorrhage, other major bleed), cancer (GI tract cancer, non‐GI tract cancer), and microvascular events (end‐stage renal disease [ESRD], amputation) were estimated using a linear regression model following adjustment for participants' sociodemographic and clinical risk factors.

          Results

          Amputation was associated with the largest EQ‐5D utility decrement (−0.206), followed by heart failure (−0.185), intracranial haemorrhage (−0.164), GI bleed (−0.091), other major bleed (−0.096), ischaemic stroke (−0.061), TIA (−0.057), and non‐GI tract cancer (−0.026). We were unable to detect decrements in EQ‐5D utility associated with myocardial infarction, coronary revascularization, GI tract cancer, or ESRD. EQ‐5D utility was lower at older age, independent of other factors.

          Conclusion

          These estimated decrements in QoL associated with cardiovascular, bleeding, cancer, and other adverse events can inform assessments of the overall value of treatments in patients with diabetes.

          Related collections

          Most cited references34

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

          Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)

          Purpose This article introduces the new 5-level EQ-5D (EQ-5D-5L) health status measure. Methods EQ-5D currently measures health using three levels of severity in five dimensions. A EuroQol Group task force was established to find ways of improving the instrument’s sensitivity and reducing ceiling effects by increasing the number of severity levels. The study was performed in the United Kingdom and Spain. Severity labels for 5 levels in each dimension were identified using response scaling. Focus groups were used to investigate the face and content validity of the new versions, including hypothetical health states generated from those versions. Results Selecting labels at approximately the 25th, 50th, and 75th centiles produced two alternative 5-level versions. Focus group work showed a slight preference for the wording ‘slight-moderate-severe’ problems, with anchors of ‘no problems’ and ‘unable to do’ in the EQ-5D functional dimensions. Similar wording was used in the Pain/Discomfort and Anxiety/Depression dimensions. Hypothetical health states were well understood though participants stressed the need for the internal coherence of health states. Conclusions A 5-level version of the EQ-5D has been developed by the EuroQol Group. Further testing is required to determine whether the new version improves sensitivity and reduces ceiling effects.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Management of Hyperglycemia in Type 2 Diabetes, 2018. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

            The American Diabetes Association and the European Association for the Study of Diabetes convened a panel to update the prior position statements, published in 2012 and 2015, on the management of type 2 diabetes in adults. A systematic evaluation of the literature since 2014 informed new recommendations. These include additional focus on lifestyle management and diabetes self-management education and support. For those with obesity, efforts targeting weight loss, including lifestyle, medication, and surgical interventions, are recommended. With regards to medication management, for patients with clinical cardiovascular disease, a sodium–glucose cotransporter 2 (SGLT2) inhibitor or a glucagon-like peptide 1 (GLP-1) receptor agonist with proven cardiovascular benefit is recommended. For patients with chronic kidney disease or clinical heart failure and atherosclerotic cardiovascular disease, an SGLT2 inhibitor with proven benefit is recommended. GLP-1 receptor agonists are generally recommended as the first injectable medication.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets.

              A five-level version of the EuroQol five-dimensional (EQ-5D) descriptive system (EQ-5D-5L) has been developed, but value sets based on preferences directly elicited from representative general population samples are not yet available. The objective of this study was to develop values sets for the EQ-5D-5L by means of a mapping ("crosswalk") approach to the currently available three-level version of the EQ-5D (EQ-5D-3L) values sets. The EQ-5D-3L and EQ-5D-5L descriptive systems were coadministered to respondents with conditions of varying severity to ensure a broad range of levels of health across EQ-5D questionnaire dimensions. We explored four models to generate value sets for the EQ-5D-5L: linear regression, nonparametric statistics, ordered logistic regression, and item-response theory. Criteria for the preferred model included theoretical background, statistical fit, predictive power, and parsimony. A total of 3691 respondents were included. All models had similar fit statistics. Predictive power was slightly better for the nonparametric and ordered logistic regression models. In considering all criteria, the nonparametric model was selected as most suitable for generating values for the EQ-5D-5L. The nonparametric model was preferred for its simplicity while performing similarly to the other models. Being independent of the value set that is used, it can be applied to transform any EQ-5D-3L value set into EQ-5D-5L index values. Strengths of this approach include compatibility with three-level value sets. A limitation of any crosswalk is that the range of index values is restricted to the range of the EQ-5D-3L value sets. Copyright © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                mijun.keng@ndph.ox.ac.uk
                Journal
                Diabetes Obes Metab
                Diabetes Obes Metab
                10.1111/(ISSN)1463-1326
                DOM
                Diabetes, Obesity & Metabolism
                Blackwell Publishing Ltd (Oxford, UK )
                1462-8902
                1463-1326
                20 December 2021
                March 2022
                : 24
                : 3 ( doiID: 10.1111/dom.v24.3 )
                : 530-538
                Affiliations
                [ 1 ] Health Economics Research Centre, Nuffield Department of Population Health University of Oxford Oxford UK
                [ 2 ] British Heart Foundation Centre of Research Excellence Oxford UK
                [ 3 ] Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health University of Oxford Oxford UK
                [ 4 ] Medical Research Council Population Health Research Unit, Nuffield Department of Population Health University of Oxford Oxford UK
                [ 5 ] Wolfson Institute of Population Health Queen Mary University of London London UK
                Author notes
                [*] [* ] Correspondence

                Mi Jun Keng, MSc, Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, OX3 7LF, Oxford, UK.

                Email: mijun.keng@ 123456ndph.ox.ac.uk

                Author information
                https://orcid.org/0000-0001-5979-1706
                https://orcid.org/0000-0001-7870-6730
                https://orcid.org/0000-0002-0951-1304
                Article
                DOM14610
                10.1111/dom.14610
                9361007
                34866309
                d8b79fb8-10e4-4382-9308-909a0a6ad933
                © 2021 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 November 2021
                : 06 October 2021
                : 01 December 2021
                Page count
                Figures: 2, Tables: 2, Pages: 9, Words: 6451
                Funding
                Funded by: British Heart Foundation , doi 10.13039/501100000274;
                Award ID: RE/13/1/30181
                Funded by: Innovative Medicines Initiative 2 Joint Undertaking
                Award ID: 115881 (RHAPSODY)
                Funded by: NIHR Oxford Biomedical Research Centre , doi 10.13039/501100013373;
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                March 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:09.08.2022

                Endocrinology & Diabetes
                cardiovascular disease,diabetes complications,health economics
                Endocrinology & Diabetes
                cardiovascular disease, diabetes complications, health economics

                Comments

                Comment on this article