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Dose-response relationship between risk factors and incidence of COVID-19 in 325 hospitalized patients: A multicenter retrospective cohort study.
Zhao, Sheng-Chao; Yu, Xian-Qiang; Lai, Xue-Feng; Duan, Rui; Guo, De-Liang; Zhu, Qian.
  • Zhao SC; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, Hubei Province, China.
  • Yu XQ; Department of Surgery, Qingdao Women and Children's Hospital affiliated to Qingdao University, Qingdao 266000, Shandong Province, China.
  • Lai XF; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science
  • Duan R; Department of General Surgery, Jingmen First People' Hospital, Jingmen 448000, Hubei Province, China.
  • Guo DL; Department of Hepatobiliary and Pancreatic Surgery, Ancreatic Surgery Center, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China.
  • Zhu Q; Department of Hepatobiliary and Pancreatic Surgery, Pancreatic Surgery Center, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China. zhuqian@whu.edu.cn.
World J Clin Cases ; 10(10): 3047-3059, 2022 Apr 06.
Article in English | MEDLINE | ID: covidwho-1847752
ABSTRACT

BACKGROUND:

The epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) patients have been widely reported, but the assessment of dose-response relationships and risk factors for mortality and severe cases and clinical outcomes remain unclear.

AIM:

To determine the dose-response relationship between risk factors and incidence of COVID-19.

METHODS:

In this retrospective, multicenter cohort study, we included patients with confirmed COVID-19 infection who had been discharged or had died by February 6, 2020. We used multivariable logistic regression and Cox proportional hazard models to determine the dose-response relationship between risk factors and incidence of COVID-19.

RESULTS:

It clarified that increasing risk of in-hospital death were associated with older age (HR 1.04, 95%CI 1.01-1.09), higher lactate dehydrogenase [HR 1.04, 95% confidence interval (CI) 1.01-1.10], C-reactive protein (HR 1.10, 95%CI 1.01-1.23), and procalcitonin (natural log-transformed HR 1.88, 95%CI 1.22-2.88), and D-dimer greater than 1 µg/mL at admission (natural log transformed HR 1.63, 95%CI 1.03-2.58) by multivariable regression. D-dimer and procalcitonin were logarithmically correlated with COVID-19 mortality risk, while there was a linear dose-response correlation between age, lactate dehydrogenase, D-dimer and procalcitonin, independent of established risk factors.

CONCLUSION:

Higher lactate dehydrogenase, D-dimer, and procalcitonin levels were independently associated with a dose-response increased risk of COVID-19 mortality.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Journal: World J Clin Cases Year: 2022 Document Type: Article Affiliation country: Wjcc.v10.i10.3047

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Journal: World J Clin Cases Year: 2022 Document Type: Article Affiliation country: Wjcc.v10.i10.3047