Impact of comorbidities on patients with COVID-19 : A large retrospective study in Zhejiang, China

© 2020 Wiley Periodicals LLC..

Coronavirus disease 2019 (COVID-19) has become a serious public health problem worldwide. Here, we stratified COVID-19 patients based on their comorbidities to assess their risk of serious adverse outcomes. We collected 856 hospitalized cases diagnosed with COVID-19 from 17 January to 7 February 2020, in Zhejiang Province, and analyzed their comorbidities and composite endpoint (including admission to intensive care unit owing to disease progression, shock, invasive ventilation, and death) to determine the relationship between comorbidities and adverse outcomes. The median age of patients was 46 (36-56) years; 439 (51.3%) were men, 242 (28.3%) had comorbidities, and 152 (17.8%) had two or more comorbidities. The most common comorbidity was hypertension (142 [16.6%]), followed by diabetes (64 [7.5%]). Of the 856 patients, there are 154 (18.0%) severe cases. Thirty-two (3.7%) reached composite endpoints, of which 22 (9.1%) were from the comorbidity group and 10 (1.6%) from the non-comorbidity group (P <  .001). After adjusting for age and gender status, the risk of reaching the composite endpoint was higher in the group with comorbidity than in that without comorbidity (hazard ratio [HR] 3.04, 95% confidence interval [CI]: 1.40-6.60). HR values for patients with one, two, and three or more comorbidities were 1.61 (95% CI: 0.44-5.91), 3.44 (95% CI: 1.31-9.08), and 6.90 (95% CI: 2.69-17.69), respectively. COVID-19 patients with comorbidities had worse clinical outcomes as compared with those without any comorbidity. The higher the number of comorbidities, the greater was the risk of serious adverse outcomes.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:92

Enthalten in:

Journal of medical virology - 92(2020), 11 vom: 01. Nov., Seite 2821-2829

Sprache:

Englisch

Beteiligte Personen:

Ye, Chanyuan [VerfasserIn]
Zhang, Shanyan [VerfasserIn]
Zhang, Xiaoli [VerfasserIn]
Cai, Huan [VerfasserIn]
Gu, Jueqing [VerfasserIn]
Lian, Jiangshan [VerfasserIn]
Lu, Yingfeng [VerfasserIn]
Jia, Hongyu [VerfasserIn]
Hu, Jianhua [VerfasserIn]
Jin, Ciliang [VerfasserIn]
Yu, Guodong [VerfasserIn]
Zhang, Yimin [VerfasserIn]
Sheng, Jifang [VerfasserIn]
Yang, Yida [VerfasserIn]

Links:

Volltext

Themen:

Adverse outcome
COVID-19
Comorbidity
Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 29.12.2020

Date Revised 16.07.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1002/jmv.26183

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM311226663