1. Early prediction keys for COVID-19 cases progression: A meta-analysis
- Author
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Muhammad Ismail Khan, Suliman A. Alsagaby, Mansour Alsoghair, Nelson Fernandez, Hassan A Shabana, Abdullah Alkhamiss, Zafar Rasheed, Mostafa M. Khodeir, and Waleed Al Abdulmonem
- Subjects
0301 basic medicine ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Comorbidity of risk for COVID-19 case progression ,030106 microbiology ,Infectious and parasitic diseases ,RC109-216 ,Disease ,Prediction of critical cases ,Article ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Diabetes mellitus ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Pandemics ,Prediction of severe cases ,Creatinine ,Lung ,biology ,Interleukin-6 ,SARS-CoV-2 ,business.industry ,C-reactive protein ,Public Health, Environmental and Occupational Health ,COVID-19 ,General Medicine ,Metaanalysis ,medicine.disease ,Meta-analysis ,C-Reactive Protein ,Infectious Diseases ,medicine.anatomical_structure ,chemistry ,Biomarkers of risk for COVID-19 case progression ,biology.protein ,Public aspects of medicine ,RA1-1270 ,business - Abstract
Backgroundː Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), within few months of being declared as a global pandemic by WHO, the number of confirmed cases has been over 75 million and over 1.6 million deaths since the start of the Pandemic and still counting, there is no consensus on factors that predict COVID-19 case progression despite the diversity of studies that reported sporadic laboratory predictive values predicting severe progression. We review different biomarkers to systematically analyzed these values to evaluate whether are they are correlated with the severity of COVID-19 disease and so their ability to be a predictor for progression. Methods The current meta-analysis was carried out to identify relevant articles using eight different databases regarding the values of biomarkers and risk factors of significance that predict progression of mild or moderate cases into severe and critical cases. We defined the eligibility criteria using a PICO model. Results Twenty-two relevant articles were selected for meta-analysis the following biomarkers C-reactive protein, interleukin-6, LDH, neutrophil, %PD-1 expression, D-dimer, creatinine, AST and Cortisol all recorded high cut-off values linked to severe and critical cases while low lymphocyte count, and low Albumin level were recorded. Also, we meta- analyzed age and comorbidities as a risk factors of progression as hypertension, Diabetes and chronic obstructive lung diseases which significantly correlated with cases progression (p Conclusions ː The current meta-analysis is the first step for analysing and getting cut-off references values of significance for prediction COVID-19 case progression. More studies are needed on patients infected with SARS-CoV-2 and on a larger scale to establish clearer threshold values that predict progression from mild to severe cases. In addition, more biomarkers testing also help in building a scoring system for the prediction and guiding for proper timely treatment.
- Published
- 2021
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