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在 UK Biobank 中基于社区的队列研究:诊断患有抑郁症的个体的疾病轨迹和死亡率。

Disease trajectories and mortality among individuals diagnosed with depression: a community-based cohort study in UK Biobank.

机构信息

West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.

Medical Big Data Center, Sichuan University, Chengdu, China.

出版信息

Mol Psychiatry. 2021 Nov;26(11):6736-6746. doi: 10.1038/s41380-021-01170-6. Epub 2021 May 25.

DOI:10.1038/s41380-021-01170-6
PMID:34035478
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8145187/
Abstract

Patients with depression are at increased risk for a range of comorbid diseases, with, however, unclear explanations. In this large community-based cohort study of the UK Biobank, 24,130 patients diagnosed with depression were compared to 120,366 matched individuals without such a diagnosis. Follow-up was conducted from 6 months after the index date until death or the end of 2019, for the occurrence of 470 medical conditions and 16 specific causes of death. The median age at the time of the depression diagnosis was 62.0 years, and most of the patients were female (63.63%). During a median follow-up of 4.94 years, 129 medical conditions were found to be significantly associated with a prior diagnosis of depression, based on adjusted Cox regression models. Using disease trajectory network analysis to visualize the magnitude of disease-disease associations and the temporal order of the associated medical conditions, we identified three main affected disease clusters after depression (i.e., cardiometabolic diseases, chronic inflammatory diseases, and diseases related to tobacco abuse), which were further linked to a wider range of other conditions. In addition, we also identified three depression-mortality trajectories leading to death due to cardiovascular disease, respiratory system disease and malignant neoplasm. In conclusion, an inpatient diagnosis of depression in later life is associated with three distinct network-based clusters of medical conditions, indicating alterations in the cardiometabolic system, chronic status of inflammation, and tobacco abuse as key pathways to a wide range of other conditions downstream. If replicated, these pathways may constitute promising targets for the health promotion among depression patients.

摘要

患有抑郁症的患者存在多种合并疾病的风险,然而,其具体机制尚不清楚。在这项基于英国生物库的大型社区队列研究中,将 24130 名被诊断患有抑郁症的患者与 120366 名未被诊断患有此类疾病的患者进行了比较。随访时间从指数日期后的 6 个月开始,一直持续到 2019 年底,以记录 470 种疾病和 16 种特定死因的发生情况。在被诊断为抑郁症时的中位年龄为 62.0 岁,大多数患者为女性(63.63%)。在中位随访 4.94 年期间,基于调整后的 Cox 回归模型,发现 129 种疾病与先前的抑郁症诊断显著相关。使用疾病轨迹网络分析来可视化疾病-疾病关联的程度和相关疾病的时间顺序,我们在抑郁症之后确定了三个主要受影响的疾病簇(即,心血管代谢疾病、慢性炎症性疾病和与烟草滥用相关的疾病),这些疾病进一步与更广泛的其他疾病相关。此外,我们还确定了三种导致心血管疾病、呼吸系统疾病和恶性肿瘤死亡的抑郁症-死亡率轨迹。总之,晚年住院诊断为抑郁症与三个基于网络的不同疾病簇相关,表明心血管代谢系统、慢性炎症状态和烟草滥用的改变是下游多种其他疾病的关键途径。如果得到证实,这些途径可能构成抑郁症患者健康促进的有前途的目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/9265832e65d8/41380_2021_1170_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/e1dfa21cc61a/41380_2021_1170_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/9f71d70f3a55/41380_2021_1170_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/8c266f086dec/41380_2021_1170_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/9265832e65d8/41380_2021_1170_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/e1dfa21cc61a/41380_2021_1170_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/9f71d70f3a55/41380_2021_1170_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/8c266f086dec/41380_2021_1170_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d475/8145187/9265832e65d8/41380_2021_1170_Fig4_HTML.jpg

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