Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
Population Data Science, Swansea University Medical School, Swansea, UK.
BMJ Open. 2024 Jun 19;14(6):e079169. doi: 10.1136/bmjopen-2023-079169.
To compare the patterns of multimorbidity between people with and without rheumatic and musculoskeletal diseases (RMDs) and to describe how these patterns change by age and sex over time, between 2010 and 2019.
103 426 people with RMDs and 2.9 million comparators registered in 395 Wales general practices (GPs). Each patient with an RMD aged 0-100 years between January 2010 and December 2019 registered in Clinical Practice Research Welsh practices was matched with up to five comparators without an RMD, based on age, gender and GP code.
The prevalence of 29 Elixhauser-defined comorbidities in people with RMDs and comparators categorised by age, gender and GP practices. Conditional logistic regression models were fitted to calculate differences (OR, 95% CI) in associations with comorbidities between cohorts.
The most prevalent comorbidities were cardiovascular risk factors, hypertension and diabetes. Having an RMD diagnosis was associated with a significantly higher odds for many conditions including deficiency anaemia (OR 1.39, 95% CI (1.32 to 1.46)), hypothyroidism (OR 1.34, 95% CI (1.19 to 1.50)), pulmonary circulation disorders (OR 1.39, 95% CI 1.12 to 1.73) diabetes (OR 1.17, 95% CI (1.11 to 1.23)) and fluid and electrolyte disorders (OR 1.27, 95% CI (1.17 to 1.38)). RMDs have a higher proportion of multimorbidity (two or more conditions in addition to the RMD) compared with non-RMD group (81% and 73%, respectively in 2019) and the mean number of comorbidities was higher in women from the age of 25 and 50 in men than in non-RMDs group.
People with RMDs are approximately 1.5 times as likely to have multimorbidity as the general population and provide a high-risk group for targeted intervention studies. The individuals with RMDs experience a greater load of coexisting health conditions, which tend to manifest at earlier ages. This phenomenon is particularly pronounced among women. Additionally, there is an under-reporting of comorbidities in individuals with RMDs.
比较患有风湿和肌肉骨骼疾病(RMD)与无 RMD 人群的多种合并症模式,并描述 2010 年至 2019 年间,这些模式如何随时间推移、按年龄和性别而变化。
395 家威尔士全科医生(GP)实践中登记的 103426 名 RMD 患者和 290 万对照者。2010 年 1 月至 2019 年 12 月期间,年龄在 0-100 岁之间的每一位患有 RMD 的患者,均在临床实践研究威尔士实践中,按年龄、性别和 GP 代码,与多达 5 名无 RMD 的对照者相匹配。
RMD 患者和对照者中,按年龄、性别和 GP 实践分类的 29 种伊莱克斯豪尔定义的合并症的患病率。拟合条件逻辑回归模型,以计算队列间合并症关联的差异(比值比[OR],95%置信区间[CI])。
最常见的合并症为心血管危险因素、高血压和糖尿病。RMD 诊断与许多疾病的患病风险显著升高相关,包括:营养性贫血(OR 1.39,95%CI 1.32-1.46)、甲状腺功能减退症(OR 1.34,95%CI 1.19-1.50)、肺循环疾病(OR 1.39,95%CI 1.12-1.73)、糖尿病(OR 1.17,95%CI 1.11-1.23)和体液和电解质紊乱(OR 1.27,95%CI 1.17-1.38)。与非 RMD 组相比,RMD 患者的合并症(除 RMD 之外的两种或多种疾病)比例更高(2019 年分别为 81%和 73%),且女性在 25 岁和 50 岁后、男性从 30 岁后,其合并症的平均数量均高于非 RMD 组。
患有 RMD 的人发生多种合并症的可能性是一般人群的 1.5 倍,为有针对性的干预研究提供了一个高危人群。RMD 患者同时患有多种健康状况的比例较高,这些健康状况往往在较早的年龄出现。这种现象在女性中尤为明显。此外,RMD 患者的合并症报告不足。