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Zghebi SS, Mamas MA, Ashcroft DM, Rutter MK, VanMarwijk H, Salisbury C, Mallen CD, Chew-Graham CA, Qureshi N, Weng SF, Holt T, Buchan I, Peek N, Giles S, Reeves D, Kontopantelis E. Assessing the severity of cardiovascular disease in 213 088 patients with coronary heart disease: a retrospective cohort study. Open Heart 2021; 8:openhrt-2020-001498. [PMID: 33879507 PMCID: PMC8061853 DOI: 10.1136/openhrt-2020-001498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/22/2021] [Accepted: 02/05/2021] [Indexed: 11/25/2022] Open
Abstract
Objective Most current cardiovascular disease (CVD) risk stratification tools are for people without CVD, but very few are for prevalent CVD. In this study, we developed and validated a CVD severity score in people with coronary heart disease (CHD) and evaluated the association between severity and adverse outcomes. Methods Primary and secondary care data for 213 088 people with CHD in 398 practices in England between 2007 and 2017 were used. The cohort was randomly divided into training and validation datasets (80%/20%) for the severity model. Using 20 clinical severity indicators (each assigned a weight=1), baseline and longitudinal CVD severity scores were calculated as the sum of indicators. Adjusted Cox and competing-risk regression models were used to estimate risks for all-cause and cause-specific hospitalisation and mortality. Results Mean age was 64.5±12.7 years, 46% women, 16% from deprived areas, baseline severity score 1.5±1.2, with higher scores indicating a higher burden of disease. In the training dataset, 138 510 (81%) patients were hospitalised at least once, and 39 944 (23%) patients died. Each 1-unit increase in baseline severity was associated with 41% (95% CI 37% to 45%, area under the receiver operating characteristics (AUROC) curve=0.79) risk for 1 year for all-cause mortality; 59% (95% CI 52% to 67%, AUROC=0.80) for cardiovascular (CV)/diabetes mortality; 27% (95% CI 26% to 28%) for any-cause hospitalisation and 37% (95% CI 36% to 38%) for CV/diabetes hospitalisation. Findings were consistent in the validation dataset. Conclusions Higher CVD severity score is associated with higher risks for any-cause and cause-specific hospital admissions and mortality in people with CHD. Our reproducible score based on routinely collected data can help practitioners better prioritise management of people with CHD in primary care.
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Affiliation(s)
- Salwa S Zghebi
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK .,Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Mamas A Mamas
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,Keele Cardiovascular Research Group, Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Stoke-on-Trent, UK
| | - Darren M Ashcroft
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - Harm VanMarwijk
- Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, UK
| | - Chris Salisbury
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christian D Mallen
- School of Primary, Community and Social Care, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, UK
| | - Caroline A Chew-Graham
- School of Primary, Community and Social Care, Faculty of Medicine and Health Sciences, Keele University, Staffordshire, UK
| | - Nadeem Qureshi
- Primary Care Stratified Medicine (PRISM) Research Group, Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Stephen F Weng
- Statistical Decision Sciences, Cardiovascular and Metabolism, Janssen Research and Development, High Wycombe, UK
| | - Tim Holt
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Iain Buchan
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.,Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Niels Peek
- NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre (MAHSC), Manchester, UK.,Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Sally Giles
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
| | - David Reeves
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
| | - Evangelos Kontopantelis
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK.,Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, UK
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Lotfi-Tokaldany M, Abbasi SH, Karimi A, Kassaian SE, Davarpasand T, Jalali A, Sadeghian S. Sex-dependent effects of diabetes mellitus on the revascularization rate in mid-term follow up of young patients with coronary artery disease. J Diabetes Complications 2017; 31:1686-1690. [PMID: 28988641 DOI: 10.1016/j.jdiacomp.2017.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Revised: 05/16/2017] [Accepted: 06/30/2017] [Indexed: 10/19/2022]
Abstract
AIMS We investigated the association between Type-2 diabetes mellitus (DM) and the need for revascularization at a 5-year follow-up of young coronary artery disease patients and the role of sex in this regard. METHODS Among 1121 young (males≤45, and females≤55years) patients (female: 49.7%) from Tehran Heart Center's Premature Coronary Atherosclerosis Cohort, 371(33.1%) had diabetes prior to angiography. Revascularization was considered as either percutaneous coronary intervention or coronary artery bypass graft surgery. RESULTS The mean follow-up duration was 57.67±22.43months. In the univariable analysis, diabetics were at a significantly higher risk of revascularization than nondiabetics (Sub-distributional Hazard Ratio [SHR]=1.843, P value<0.001). There was no association between DM and revascularization among men (SHR=1.232, P value=0.508). In contrast, women with DM had threefold more revascularization risk than women without DM (SHR=3.519, P value<0.001). After adjustment for confounding factors, the risk of revascularization in diabetics compared to nondiabetics increased to 2.139 fold (95% CI=1.473, 3.108) among the whole subjects, remained nonsignificant among men, and increased significantly to 3.725 fold (95% CI=2.067, 6.725) in women. CONCLUSIONS Our data showed that in women with premature CAD, but not in men, DM may have a significant role in emerging revascularization during a mean follow-up of 5years.
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Affiliation(s)
| | | | - Abbasali Karimi
- Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Arash Jalali
- Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Saeed Sadeghian
- Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
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