Literature DB >> 32714109

Clinical Features of COVID-19 and Factors Associated with Severe Clinical Course: A Systematic Review and Meta-Analysis.

Ashish Kumar1, Anil Arora1, Praveen Sharma1, Shrihari Anil Anikhindi1, Naresh Bansal1, Vikas Singla1, Shivam Khare1, Abhishyant Srivastava2.   

Abstract

BACKGROUND: COVID-19 is a new disease which has become a global pandemic, and is caused by a novel coronavirus, SARS-CoV-2. The disease is still not very well characterized, and factors associated with severe clinical course are not well known.
METHODS: The main objectives were to determine the demographic, clinical and laboratory manifestations of COVID-19 and to identify the factors associated with severe clinical course. We searched the PubMed for studies published between Jan 1, 2020 and Mar 17, 2020, and included them if they were in English language, published in full, were retrospective or prospective observational or case control study with data on clinical, laboratory and imaging features of adult patients with COVID-19 disease from single or multiple centers. Studies that included exclusively pediatric patients were excluded. The demographic, clinical and laboratory data was displayed as n (%) or mean (SD). The meta-analysis on factors associated with severe clinical course was performed using the random effects model, and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated as the effect sizes.
FINDINGS: We included 58 studies (6892 patients) for the systematic review on clinical manifestations and 21 studies (3496 patients) for meta-analysis on factors associated with severe clinical course. The mean age of patients with COVID-19 is 49.7±16.3 years with a male to female ratio of 1.2:1. Common symptoms and their frequency are: fever (83.4%), cough (60.5%), fatigue (33.8%), sputum (28.9%), dyspnea (22.1%), myalgia (20.6%), chest tightness / pain (16.3%), sore throat (13.5%), headache (11.2%), diarhhea (7.5%), nasal congestion / rhinorrhea (6.7%), nausea / vomiting (5.6%), pain abdomen (4.6%), and hemoptysis (1.7%). The comorbidities associated with COVID-19 are: hypertension (18.4%), diabetes mellitus (9.8%), cardiovascular diseases (8.8%), endocrine diseases (5.8%), gastrointestinal diseases (5%), CLD (3%), and COPD (2.8%). Among the laboratory parameters WBC was low in 27%, high in 9%, platelets were low in 22.9%, creatinine was high in 6.5%, AST was high in 25.3%, ALT was high in 22.7%, bilirubin was high in 8.8%, albumin was low 60.1%, CT chest was abnormal in 89%, CRP was high in 67.5%, LDH was high in 52%, D-dimer was high in 34.8%, CK was high in 14.4%, and procalcitonin was high in 15.4%. Factors significantly associated severe clinical course (with their ORs) are as follows: High CRP (5.78), high procalcitonin (5.45), age >60 (4.82), dyspnea (4.66), high LDH (4.59), COPD (4.37), low albumin (4.34), high D-dimer (4.03), cardiac disease (3.88), low lymphocyte count (3.22), any associated comorbidity (3.16), diabetes mellitus (3.11), high WBC count (2.67), high bilirubin level (2.55), high creatinine (2.34), high AST (2.31), hypertension (2.30), low platelets (1.78), High ALT (1.69), high CK (1.66), fever spikes ≥39°C (1.59), diarrhea (1.55), male gender (1.47), and sputum (1.35).
INTERPRETATION: Identification of these factors associated with severe COVID-19 will help the physicians working at all levels of healthcare (primary, secondary, tertiary and ICU) in determining which patients need home care, hospital care, HDU care, and ICU admission; and thus, prioritize the scarce healthcare resource use more judiciously. Many of these identified factors can also help the public at large in the current COVID-19 epidemic setting, to judge when they should seek immediate medical care. Funding Statement: None. Declaration of Interests: The authors declare no competing interests.

Entities:  

Keywords:  2019-nCoV; COVID-19; Novel coronavirus; SARS-CoV-2; coronavirus; nCoV-2019

Year:  2020        PMID: 32714109      PMCID: PMC7366815          DOI: 10.2139/ssrn.3566166

Source DB:  PubMed          Journal:  SSRN        ISSN: 1556-5068


  88 in total

1.  Covid-19: WHO declares pandemic because of "alarming levels" of spread, severity, and inaction.

Authors:  Elisabeth Mahase
Journal:  BMJ       Date:  2020-03-12

2.  Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2.

Authors:  Xi Xu; Chengcheng Yu; Jing Qu; Lieguang Zhang; Songfeng Jiang; Deyang Huang; Bihua Chen; Zhiping Zhang; Wanhua Guan; Zhoukun Ling; Rui Jiang; Tianli Hu; Yan Ding; Lin Lin; Qingxin Gan; Liangping Luo; Xiaoping Tang; Jinxin Liu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-02-28       Impact factor: 9.236

3.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

4.  Epidemiologic characteristics of early cases with 2019 novel coronavirus (2019-nCoV) disease in Korea.

Authors:  Moran Ki
Journal:  Epidemiol Health       Date:  2020-02-09

5.  A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.

Authors:  Jasper Fuk-Woo Chan; Shuofeng Yuan; Kin-Hang Kok; Kelvin Kai-Wang To; Hin Chu; Jin Yang; Fanfan Xing; Jieling Liu; Cyril Chik-Yan Yip; Rosana Wing-Shan Poon; Hoi-Wah Tsoi; Simon Kam-Fai Lo; Kwok-Hung Chan; Vincent Kwok-Man Poon; Wan-Mui Chan; Jonathan Daniel Ip; Jian-Piao Cai; Vincent Chi-Chung Cheng; Honglin Chen; Christopher Kim-Ming Hui; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

6.  Clinical Characteristics of Imported Cases of Coronavirus Disease 2019 (COVID-19) in Jiangsu Province: A Multicenter Descriptive Study.

Authors:  Jian Wu; Jun Liu; Xinguo Zhao; Chengyuan Liu; Wei Wang; Dawei Wang; Wei Xu; Chunyu Zhang; Jiong Yu; Bin Jiang; Hongcui Cao; Lanjuan Li
Journal:  Clin Infect Dis       Date:  2020-07-28       Impact factor: 9.079

7.  Epidemiologic and clinical characteristics of 91 hospitalized patients with COVID-19 in Zhejiang, China: a retrospective, multi-centre case series.

Authors:  G-Q Qian; N-B Yang; F Ding; A H Y Ma; Z-Y Wang; Y-F Shen; C-W Shi; X Lian; J-G Chu; L Chen; Z-Y Wang; D-W Ren; G-X Li; X-Q Chen; H-J Shen; X-M Chen
Journal:  QJM       Date:  2020-07-01

8.  Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease.

Authors:  Wei Liu; Zhao-Wu Tao; Lei Wang; Ming-Li Yuan; Kui Liu; Ling Zhou; Shuang Wei; Yan Deng; Jing Liu; Hui-Guo Liu; Ming Yang; Yi Hu
Journal:  Chin Med J (Engl)       Date:  2020-05-05       Impact factor: 2.628

9.  Clinical characteristics of laboratory confirmed positive cases of SARS-CoV-2 infection in Wuhan, China: A retrospective single center analysis.

Authors:  Yihui Huang; Mengqi Tu; Shipei Wang; Sichao Chen; Wei Zhou; Danyang Chen; Lin Zhou; Min Wang; Yan Zhao; Wen Zeng; Qi Huang; Hai'bo Xu; Zeming Liu; Liang Guo
Journal:  Travel Med Infect Dis       Date:  2020-02-27       Impact factor: 6.211

10.  The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia.

Authors:  Kunhua Li; Jiong Wu; Faqi Wu; Dajing Guo; Linli Chen; Zheng Fang; Chuanming Li
Journal:  Invest Radiol       Date:  2020-06       Impact factor: 10.065

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