BACKGROUND Coronavirus disease 2019(COVID-19)has emerged as a public health crisis that was declared as a global pandemic by the World Health Organization.Although most cases have no or mild symptoms,around 10%of pati...BACKGROUND Coronavirus disease 2019(COVID-19)has emerged as a public health crisis that was declared as a global pandemic by the World Health Organization.Although most cases have no or mild symptoms,around 10%of patients develop severe or critical illness that necessitates hospitalization and intensive care unit admission.AIM To assess the literature for the predictive factors that can identify patients having severe/critical COVID-19 disease.METHODS A Preferred Reporting Items for Systematic Reviews and Meta-Analysescompliant systematic search of the literature was conducted.Electronic databases including PubMed/MEDLINE,Scopus,and Cochrane Library were queried.The main outcome measures were the predictors of severe/critical COVID-19 and mortality.RESULTS Five studies including 583 patients of a median age of 50.5 years were reviewed.Patients were 346(59.4%)male and 237(40.6%)female.Of 583 hospitalized patients,242(41.5%)had critical illness.Acute respiratory distress disease occurred in 291 patients,accounting for 46.7%of total complications.Onehundred(17.1%)mortalities were recorded.The most commonly reported predictors of severe COVID-19 were older age,medical comorbidities,lymphopenia,elevated C-reactive protein,increased D-dimer,and increased neutrophil ratio.Findings on computed tomography(CT)scanning predictive of severe disease were bronchial wall thickening,CT score>7,linear opacities,consolidation,right upper lobe affection,and crazy paving pattern.CONCLUSION Several demographic,clinical,laboratory,and radiologic factors can help predict severe and critical COVID-19 along with the potential need for mechanical ventilation.Factors that were more commonly reported were older age,medical comorbidities,lymphopenia,increased neutrophil ratio,elevated C-reactive protein,and increased D-dimer.展开更多
文摘BACKGROUND Coronavirus disease 2019(COVID-19)has emerged as a public health crisis that was declared as a global pandemic by the World Health Organization.Although most cases have no or mild symptoms,around 10%of patients develop severe or critical illness that necessitates hospitalization and intensive care unit admission.AIM To assess the literature for the predictive factors that can identify patients having severe/critical COVID-19 disease.METHODS A Preferred Reporting Items for Systematic Reviews and Meta-Analysescompliant systematic search of the literature was conducted.Electronic databases including PubMed/MEDLINE,Scopus,and Cochrane Library were queried.The main outcome measures were the predictors of severe/critical COVID-19 and mortality.RESULTS Five studies including 583 patients of a median age of 50.5 years were reviewed.Patients were 346(59.4%)male and 237(40.6%)female.Of 583 hospitalized patients,242(41.5%)had critical illness.Acute respiratory distress disease occurred in 291 patients,accounting for 46.7%of total complications.Onehundred(17.1%)mortalities were recorded.The most commonly reported predictors of severe COVID-19 were older age,medical comorbidities,lymphopenia,elevated C-reactive protein,increased D-dimer,and increased neutrophil ratio.Findings on computed tomography(CT)scanning predictive of severe disease were bronchial wall thickening,CT score>7,linear opacities,consolidation,right upper lobe affection,and crazy paving pattern.CONCLUSION Several demographic,clinical,laboratory,and radiologic factors can help predict severe and critical COVID-19 along with the potential need for mechanical ventilation.Factors that were more commonly reported were older age,medical comorbidities,lymphopenia,increased neutrophil ratio,elevated C-reactive protein,and increased D-dimer.
