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10.12688/f1000research.26186.2

http://scihub22266oqcxt.onion/10.12688/f1000research.26186.2
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33163160!7607482!33163160
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suck abstract from ncbi


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pmid33163160      F1000Res 2020 ; 9 (ä): 1107
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  • Predictors of COVID-19 severity: a systematic review and meta-analysis #MMPMID33163160
  • Mudatsir M; Fajar JK; Wulandari L; Soegiarto G; Ilmawan M; Purnamasari Y; Mahdi BA; Jayanto GD; Suhendra S; Setianingsih YA; Hamdani R; Suseno DA; Agustina K; Naim HY; Muchlas M; Alluza HHD; Rosida NA; Mayasari M; Mustofa M; Hartono A; Aditya R; Prastiwi F; Meku FX; Sitio M; Azmy A; Santoso AS; Nugroho RA; Gersom C; Rabaan AA; Masyeni S; Nainu F; Wagner AL; Dhama K; Harapan H
  • F1000Res 2020[]; 9 (ä): 1107 PMID33163160show ga
  • Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-19) may be attributed to the low precision of the tools used to predict the prognosis of this disease. Objective: To identify the predictors associated with poor clinical outcomes in patients with COVID-19. Methods: Relevant articles from PubMed, Embase, Cochrane, and Web of Science were searched as of April 5, 2020. The quality of the included papers was appraised using the Newcastle-Ottawa scale (NOS). Data of interest were collected and evaluated for their compatibility for the meta-analysis. Cumulative calculations to determine the correlation and effect estimates were performed using the Z test. Results: In total, 19 papers recording 1,934 mild and 1,644 severe cases of COVID-19 were included. Based on the initial evaluation, 62 potential risk factors were identified for the meta-analysis. Several comorbidities, including chronic respiratory disease, cardiovascular disease, diabetes mellitus, and hypertension were observed more frequent among patients with severe COVID-19 than with the mild ones. Compared to the mild form, severe COVID-19 was associated with symptoms such as dyspnea, anorexia, fatigue, increased respiratory rate, and high systolic blood pressure. Lower levels of lymphocytes and hemoglobin; elevated levels of leukocytes, aspartate aminotransferase, alanine aminotransferase, blood creatinine, blood urea nitrogen, high-sensitivity troponin, creatine kinase, high-sensitivity C-reactive protein, interleukin 6, D-dimer, ferritin, lactate dehydrogenase, and procalcitonin; and a high erythrocyte sedimentation rate were also associated with severe COVID-19. Conclusion: More than 30 risk factors are associated with a higher risk of severe COVID-19. These may serve as useful baseline parameters in the development of prediction tools for COVID-19 prognosis.
  • |COVID-19/*diagnosis/*physiopathology[MESH]
  • |Comorbidity[MESH]
  • |Humans[MESH]
  • |Risk Factors[MESH]


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