A Population-Based Outcome-Wide Association Study of the Comorbidities and Sequelae Following COVID-19 Infection

Autor: Yuyang Zhang, Junhong Li, Lan Feng, Yaxin Luo, Wendu Pang, Ke Qiu, Minzi Mao, Yao Song, Danni Cheng, Yufang Rao, Xinyi Wang, Yao Hu, Zhiye Ying, Xiaobin Pu, Shuyan Lin, Shaohui Huang, Geoffrey Liu, Wei Zhang, Wei Xu, Yu Zhao, Jianjun Ren
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Epidemiology and Global Health, Vol 13, Iss 4, Pp 870-885 (2023)
Druh dokumentu: article
ISSN: 2210-6014
DOI: 10.1007/s44197-023-00161-w
Popis: Abstract Background Immense attention has been given to the outcome of COVID-19 infection. However, comprehensive studies based on large populational cohort with long-term follow-up are still lacking. This study aimed to investigate the risk of various short-term comorbidities (within one month) and long-term sequelae (above one month) after COVID-19 infection. Methods In this large prospective cohort study with 14 months follow-up information based on UK biobank, we included 16,776 COVID-19-positive participants and 58,281 COVID-19-negative participants matched for comparison. The risk of each comorbidity and sequela was evaluated by multivariable logistic regression analysis and presented as hazard ratio (HR) and 95% confidence interval (95% CI). Results COVID-19-positive individuals had a higher risk of 47 types of comorbidities within one month following COVID-19 infection, especially those who were older, male, overweight/obese, ever-smoked, with more pre-existing comorbidities and hospitalized. About 70.37% of COVID-19 patients with comorbidities had more than one co-occurring comorbidities. Additionally, only 6 high-risk sequelae were observed after one month of COVID-19 infection, and the incidence was relatively low (
Databáze: Directory of Open Access Journals