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多病症、人口因素与死亡率之间的关系:来自英国生物银行队列研究的发现。

Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort.

机构信息

General Practice and Primary Care, Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, 1 Horselethill Road, Glasgow, G12 9LX, UK.

School of Mathematics and Statistics, University of Glasgow, Glasgow, UK.

出版信息

BMC Med. 2019 Apr 10;17(1):74. doi: 10.1186/s12916-019-1305-x.

Abstract

BACKGROUND

Multimorbidity is associated with higher mortality, but the relationship with cancer and cardiovascular mortality is unclear. The influence of demographics and type of condition on the relationship of multimorbidity with mortality remains unknown. We examine the relationship between multimorbidity (number/type) and cause of mortality and the impact of demographic factors on this relationship.

METHODS

Data source: the UK Biobank; 500,769 participants; 37-73 years; 53.7% female. Exposure variables: number and type of long-term conditions (LTCs) (N = 43) at baseline, modelled separately. Cox regression models were used to study the impact of LTCs on all-cause/vascular/cancer mortality during median 7-year follow-up. All-cause mortality regression models were stratified by age/sex/socioeconomic status.

RESULTS

All-cause mortality is 2.9% (14,348 participants). Of all deaths, 8350 (58.2%) were cancer deaths and 2985 (20.8%) vascular deaths. Dose-response relationship is observed between the increasing number of LTCs and all-cause/cancer/vascular mortality. A strong association is observed between cardiometabolic multimorbidity and all three clinical outcomes; non-cardiometabolic multimorbidity (excluding cancer) is associated with all-cause/vascular mortality. All-cause mortality risk for those with ≥ 4 LTCs was nearly 3 times higher than those with no LTCs (HR 2.79, CI 2.61-2.98); for ≥ 4 cardiometabolic conditions, it was > 3 times higher (HR 3.20, CI 2.56-4.00); and for ≥ 4 non-cardiometabolic conditions (excluding cancer), it was 50% more (HR 1.50, CI 1.36-1.67). For those with ≥ 4 LTCs, morbidity combinations that included cardiometabolic conditions, chronic kidney disease, cancer, epilepsy, chronic obstructive pulmonary disease, depression, osteoporosis and connective tissue disorders had the greatest impact on all-cause mortality. In the stratified model by age/sex, absolute all-cause mortality was higher among the 60-73 age group with an increasing number of LTCs; however, the relative effect size of the increasing number of LTCs on higher mortality risk was larger among those 37-49 years, especially men. While socioeconomic status was a significant predictor of all-cause mortality, mortality risk with increasing number of LTCs remained constant across different socioeconomic gradients.

CONCLUSIONS

Multimorbidity is associated with higher all-cause/cancer/vascular mortality. Type, as opposed to number, of LTCs may have an important role in understanding the relationship between multimorbidity and mortality. Multimorbidity had a greater relative impact on all-cause mortality in middle-aged as opposed to older populations, particularly males, which deserves exploration.

摘要

背景

多种疾病与更高的死亡率相关,但与癌症和心血管死亡率的关系尚不清楚。人口统计学因素和疾病类型对多种疾病与死亡率之间关系的影响仍不清楚。我们研究了多种疾病(数量/类型)与死亡率之间的关系,以及人口统计学因素对这种关系的影响。

方法

数据来源:英国生物银行;500769 名参与者;37-73 岁;53.7%为女性。暴露变量:基线时的长时程疾病(LTC)数量和类型(N=43)分别建模。Cox 回归模型用于研究 LTC 对中位 7 年随访期间全因/血管/癌症死亡率的影响。全因死亡率回归模型按年龄/性别/社会经济地位分层。

结果

全因死亡率为 2.9%(14348 名参与者)。所有死亡中,8350 例(58.2%)为癌症死亡,2985 例(20.8%)为血管死亡。随着 LTC 数量的增加,与全因/癌症/血管死亡率之间存在剂量反应关系。观察到心脏代谢性多种疾病与所有三种临床结局之间存在很强的关联;非心脏代谢性多种疾病(不包括癌症)与全因/血管死亡率相关。患有≥4 种 LTC 的患者的全因死亡率几乎是没有 LTC 的患者的 3 倍(HR 2.79,95%CI 2.61-2.98);患有≥4 种心脏代谢性疾病的患者的全因死亡率是其 3 倍以上(HR 3.20,95%CI 2.56-4.00);患有≥4 种非心脏代谢性疾病(不包括癌症)的患者的全因死亡率增加 50%(HR 1.50,95%CI 1.36-1.67)。对于患有≥4 种 LTC 的患者,包括心脏代谢疾病、慢性肾脏病、癌症、癫痫、慢性阻塞性肺疾病、抑郁症、骨质疏松症和结缔组织疾病在内的多种疾病组合对全因死亡率的影响最大。在按年龄/性别分层的模型中,随着 LTC 数量的增加,60-73 岁年龄组的全因绝对死亡率更高;然而,随着 LTC 数量的增加,全因死亡率风险的相对效应在 37-49 岁年龄组中更大,尤其是男性。尽管社会经济地位是全因死亡率的一个重要预测因素,但随着 LTC 数量的增加,死亡率风险在不同的社会经济梯度中保持不变。

结论

多种疾病与全因/癌症/血管死亡率相关。LTC 的类型,而不是数量,可能在理解多种疾病与死亡率之间的关系方面发挥重要作用。与老年人群相比,中年人群的多种疾病对全因死亡率的影响更大,尤其是男性,这值得进一步探讨。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4364/6456941/ad37f5013e24/12916_2019_1305_Fig1_HTML.jpg

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