Literature DB >> 33390828

Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study.

Zhengtong Lv1,2, Shubin Lv3.   

Abstract

Objective: Since December 2019, an outbreak of coronavirus disease 2019 (COVID 19) has been experienced from Wuhan, China to the world. A retrospective cohort study was conducted to summarize the clinical characteristics of patients with COVID-19 and to explore the risk factors affecting the disease duration in Jiangan Fangcang shelter hospital, Wuhan, China.
Methods: Clinical characteristics of 409 patients with COVID-19 were retrospectively analyzed. We describe the clinical characteristics and distribution of discharge time or transfer time for each patient. Then we performed univariate and multivariate Cox regression analysis to identify potential risk factors for progression from non-severe to severe COVID-19 or death.
Results: The median disease duration of all patients was 23 days (IQR 19-28). The main symptoms of the patient were fever (95.6%), cough (74.3%), tiredness (21.5%), and so on. Comorbidities mainly included hypertension (30.6%) diabetes (17.6%) and heart disease (12.5%). The univariate Cox regression analysis showed that old age, number of symptoms, the combination of hypertension, heart disease and pulmonary disease were associated with the progression of disease. The multivariate Cox regression analysis showed that old age (HR: 7.294; 95% CI: 1.442-36.888; P = 0.016), the combination of hypertension (HR: 2.230; 95% CI: 1.090-4.562; P = 0.028) and heart disease (HR: 2.650; 95% CI: 1.079-6.510; P = 0.034) were independent risk factors for progression of COVID-19. Conclusions: The age of the patient, the combination of hypertension and heart disease were independent risk factors for the progression of COVID-19. Cautions should be raised for patients with these risk factors. © The author(s).

Entities:  

Keywords:  COVID-19; SARS-CoV-2; clinical characteristics; risk factors

Year:  2021        PMID: 33390828      PMCID: PMC7757033          DOI: 10.7150/ijbs.50654

Source DB:  PubMed          Journal:  Int J Biol Sci        ISSN: 1449-2288            Impact factor:   6.580


  6 in total

1.  Clinical Characteristics and Factors Associated with Disease Progression of Mild to Moderate COVID-19 Patients in a Makeshift (Fangcang) Hospital: A Retrospective Cohort Study.

Authors:  Jia Liu; Jun-Fei Zhang; Han-Ning Ma; Ke Feng; Zhong-Wei Chen; Li-Shan Yang; Bin Mei; Jun-Jian Zhang
Journal:  Ther Clin Risk Manag       Date:  2021-08-16       Impact factor: 2.423

2.  Not Only High Number and Specific Comorbidities but Also Age Are Closely Related to Progression and Poor Prognosis in Patients With COVID-19.

Authors:  Dafeng Liu; Yongli Zheng; Jun Kang; Dongmei Wang; Lang Bai; Yi Mao; Guifang Zha; Hong Tang; Renqing Zhang
Journal:  Front Med (Lausanne)       Date:  2022-01-07

3.  Symptom Clustering Patterns and Population Characteristics of COVID-19 Based on Text Clustering Method.

Authors:  Xiuwei Cheng; Hongli Wan; Heng Yuan; Lijun Zhou; Chongkun Xiao; Suling Mao; Zhirui Li; Fengmiao Hu; Chuan Yang; Wenhui Zhu; Jiushun Zhou; Tao Zhang
Journal:  Front Public Health       Date:  2022-02-04

Review 4.  SARS, MERS and CoVID-19: An overview and comparison of clinical, laboratory and radiological features.

Authors:  Manas Pustake; Isha Tambolkar; Purushottam Giri; Charmi Gandhi
Journal:  J Family Med Prim Care       Date:  2022-01-31

5.  Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care.

Authors:  Hidayat Ullah; Alaa Ali Hameed; Sanam Shahla Rizvi; Akhtar Jamil; Se Jin Kwon
Journal:  Comput Intell Neurosci       Date:  2022-10-06

6.  Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors.

Authors:  Tingxuan Yin; Yuanjun Li; Ying Ying; Zhijun Luo
Journal:  BMC Infect Dis       Date:  2021-02-22       Impact factor: 3.090

  6 in total

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