Volume 4, Issue 1 (3-2022)
Tabari Biomed Stu Res J 2022, 4(1): 30-47 |
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Heydari K, Lotfi P, Shadmehri N, Yousefi M, Raei M, Houshmand P, et al . Clinical and Paraclinical Characteristics of COVID-19 Patients: A Systematic Review and Meta-Analysis. Tabari Biomed Stu Res J 2022; 4 (1) : 6
URL: http://tbsrj.mazums.ac.ir/article-1-3757-en.html
URL: http://tbsrj.mazums.ac.ir/article-1-3757-en.html
Keyvan Heydari *1 
, Parisa Lotfi2 , Nima Shadmehri3 , Mohammad Yousefi4 , Maedeh Raei5 , Pouya Houshmand6 , Mohammad Zahedi7 , Reza Alizadeh-Navaei8 , Sahar Bathaeian9 , Sahar Rismantab10
, Parisa Lotfi2 , Nima Shadmehri3 , Mohammad Yousefi4 , Maedeh Raei5 , Pouya Houshmand6 , Mohammad Zahedi7 , Reza Alizadeh-Navaei8 , Sahar Bathaeian9 , Sahar Rismantab10
1- Student Research Committee, School of Medicine, Gastrointestinal Cancer Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
2- Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
3- Science Department, University of Tehran, Tehran, Iran
4- Department of Medicine, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
5- School of Medicine, Sari Branch, Islamic Azad University, Sari, Iran.
6- School of Veterinary Medicine, University of Tehran, Tehran, Iran.
7- Department of Medical Biotechnology, Student Research Committee, School of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
8- Gastrointestinal Cancer Research Center, Non-communicable diseases institute, Mazandaran University of Medical Sciences, Sari, Iran.
9- Influenza Research Lab, Department of Virology, Pasteur Institute of Iran, Tehran, Iran.
10- Ramsar Campus, Mazandaran University of Medical Sciences, Ramsar, Iran.
2- Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
3- Science Department, University of Tehran, Tehran, Iran
4- Department of Medicine, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
5- School of Medicine, Sari Branch, Islamic Azad University, Sari, Iran.
6- School of Veterinary Medicine, University of Tehran, Tehran, Iran.
7- Department of Medical Biotechnology, Student Research Committee, School of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
8- Gastrointestinal Cancer Research Center, Non-communicable diseases institute, Mazandaran University of Medical Sciences, Sari, Iran.
9- Influenza Research Lab, Department of Virology, Pasteur Institute of Iran, Tehran, Iran.
10- Ramsar Campus, Mazandaran University of Medical Sciences, Ramsar, Iran.
Abstract:
Introduction: Recently, a new strain of coronaviruses, which originated from Wuhan City, Hubei Province, China has been identified. According to the high prevalence of new coronavirus, further investigation on the clinical and paraclinical features of this disease seems essential. Hence, we carried out this systematic review and meta-analysis to figure out the unknown features.
Material and Methods: This study was performed using databases of Web of Science, Scopus and PubMed. We considered English cross-sectional and case-series papers which reported clinical, radiological, and laboratory characteristics of patients with COVID-19. We used STATA v.11 and random effect model for data analysis.
Results: In the present meta-analysis, 32 papers including 49504 COVID-19 patients were studied. The most common clinical symptoms were fever (84%), cough (65%) and fatigue (42%), respectively. The most common radiological and paraclinical features were bilateral pneumonia (61%), ground-glass opacity (50%), thrombocytopenia (36%) and lymphocytopenia (34%). The study also showed that the frequency of comorbidities and early symptoms was higher in critically severe patients. Moreover, we found the overall mortality rate of three percent.
Conclusion: According to that there are many cases without Computed Tomography Scan findings or clear clinical symptoms, it is recommended to use other confirming methods such RNA sequencing in order to identification of suspicious undiagnosed patients. Moreover, while there is no access to clinical and paraclinical facilities in in public places such as airports and border crossings, it is recommended to consider factors such as fever, cough, sputum and fatigue.
Material and Methods: This study was performed using databases of Web of Science, Scopus and PubMed. We considered English cross-sectional and case-series papers which reported clinical, radiological, and laboratory characteristics of patients with COVID-19. We used STATA v.11 and random effect model for data analysis.
Results: In the present meta-analysis, 32 papers including 49504 COVID-19 patients were studied. The most common clinical symptoms were fever (84%), cough (65%) and fatigue (42%), respectively. The most common radiological and paraclinical features were bilateral pneumonia (61%), ground-glass opacity (50%), thrombocytopenia (36%) and lymphocytopenia (34%). The study also showed that the frequency of comorbidities and early symptoms was higher in critically severe patients. Moreover, we found the overall mortality rate of three percent.
Conclusion: According to that there are many cases without Computed Tomography Scan findings or clear clinical symptoms, it is recommended to use other confirming methods such RNA sequencing in order to identification of suspicious undiagnosed patients. Moreover, while there is no access to clinical and paraclinical facilities in in public places such as airports and border crossings, it is recommended to consider factors such as fever, cough, sputum and fatigue.
Article number: 6
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