دورية أكاديمية
Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort study
| العنوان: | Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort study |
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| المؤلفون: | Tran, J, Norton, R, Conrad, N, Rahimian, F, Canoy, D, Nazarzadeh, M, Rahimi, K |
| المساهمون: | Lam, Carolyn SP |
| المصدر: | urn:ISSN:1549-1277 ; urn:ISSN:1549-1676 ; PLoS Medicine, 15, 3, e1002513 |
| بيانات النشر: | Public Library of Science (PLoS) |
| سنة النشر: | 2018 |
| المجموعة: | UNSW Sydney (The University of New South Wales): UNSWorks |
| مصطلحات موضوعية: | Prevention, Cardiovascular, Mental Health, Depression, Clinical Research, Aging, Heart Disease, 7 Management of diseases and conditions, 7.1 Individual care needs, 2 Aetiology, 2.4 Surveillance and distribution, 3 Good Health and Well Being, Adolescent, Adult, Age Factors, Aged, 80 and over, Cardiovascular Diseases, Cerebrovascular Disorders, Databases, Factual, Disease Management, Humans, Incidence, Middle Aged, Multimorbidity, Multiple Chronic Conditions, Needs Assessment, Prevalence, Sex Factors |
| الوصف: | Background: Multimorbidity in people with cardiovascular disease (CVD) is common, but large-scale contemporary reports of patterns and trends in patients with incident CVD are limited. We investigated the burden of comorbidities in patients with incident CVD, how it changed between 2000 and 2014, and how it varied by age, sex, and socioeconomic status (SES). Methods and findings: We used the UK Clinical Practice Research Datalink with linkage to Hospital Episode Statistics, a population-based dataset from 674 UK general practices covering approximately 7% of the current UK population. We estimated crude and age/sex-standardised (to the 2013 European Standard Population) prevalence and 95% confidence intervals for 56 major comorbidities in individuals with incident non-fatal CVD. We further assessed temporal trends and patterns by age, sex, and SES groups, between 2000 and 2014. Among a total of 4,198,039 people aged 16 to 113 years, 229,205 incident cases of non-fatal CVD, defined as first diagnosis of ischaemic heart disease, stroke, or transient ischaemic attack, were identified. Although the age/sex-standardised incidence of CVD decreased by 34% between 2000 to 2014, the proportion of CVD patients with higher numbers of comorbidities increased. The prevalence of having 5 or more comorbidities increased 4-fold, rising from 6.3% (95% CI 5.6%–17.0%) in 2000 to 24.3% (22.1%–34.8%) in 2014 in age/sex-standardised models. The most common comorbidities in age/sex-standardised models were hypertension (28.9% [95% CI 27.7%–31.4%]), depression (23.0% [21.3%–26.0%]), arthritis (20.9% [19.5%–23.5%]), asthma (17.7% [15.8%–20.8%]), and anxiety (15.0% [13.7%–17.6%]). Cardiometabolic conditions and arthritis were highly prevalent among patients aged over 40 years, and mental illnesses were highly prevalent in patients aged 30–59 years. The age-standardised prevalence of having 5 or more comorbidities was 19.1% (95% CI 17.2%–22.7%) in women and 12.5% (12.0%–13.9%) in men, and women had twice the age-standardised prevalence of ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | unknown |
| العلاقة: | http://hdl.handle.net/1959.4/unsworks_66227Test; https://unsworks.unsw.edu.au/bitstreams/8e3d01bc-841d-4d18-9ed0-11072cebf643/downloadTest; https://doi.org/10.1371/journal.pmed.1002513Test |
| DOI: | 10.1371/journal.pmed.1002513 |
| الإتاحة: | https://doi.org/10.1371/journal.pmed.1002513Test http://hdl.handle.net/1959.4/unsworks_66227Test https://unsworks.unsw.edu.au/bitstreams/8e3d01bc-841d-4d18-9ed0-11072cebf643/downloadTest |
| حقوق: | open access ; https://purl.org/coar/access_right/c_abf2Test ; CC BY ; https://creativecommons.org/licenses/by/4.0Test/ ; free_to_read |
| رقم الانضمام: | edsbas.C375E62F |
| قاعدة البيانات: | BASE |
| DOI: | 10.1371/journal.pmed.1002513 |
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