https://www.socictopen.socict.org/files/original/85288fe5c96084866ab272022281e407.pdf 30281f535b5dfb6bace730d83bf41caf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Factors associated with disease severity and mortality among patients with COVID-19: A systematic review and meta-analysis Creator An entity primarily responsible for making the resource Vignesh Chidambaram, Nyan Lynn Tun, Waqas Z. Haque, Marie Gilbert Majella, Ranjith Kumar Sivakumar, Amudha Kumar, Angela Ting-Wei Hsu, Izza A. Ishak, Aqsha A. Nur, Samuel K. Ayeh, Emmanuella L. Salia, Ahsan Zil-E-Ali, Muhammad A. Saeed, Ayu P. B. Sarena, Bhavna Seth, Muzzammil Ahmadzada, Eman F. Haque, Pranita Neupane, Kuang-Heng Wang, Tzu-Miao Pu, Syed M. H. Ali, Muhammad A. Arshad, Lin Wang, Sheriza Baksh, Petros C. Karakousis, Panagis Galiatsatos, Girish Chandra Bhatt Description An account of the resource Background Understanding the factors associated with disease severity and mortality in Coronavirus disease (COVID-19) is imperative to effectively triage patients. We performed a systematic review to determine the demographic, clinical, laboratory and radiological factors associated with severity and mortality in COVID-19. Methods We searched PubMed, Embase and WHO database for English language articles from inception until May 8, 2020. We included Observational studies with direct comparison of clinical characteristics between a) patients who died and those who survived or b) patients with severe disease and those without severe disease. Data extraction and quality assessment were performed by two authors independently. Results Among 15680 articles from the literature search, 109 articles were included in the analysis. The risk of mortality was higher in patients with increasing age, male gender (RR 1.45, 95%CI 1.23–1.71), dyspnea (RR 2.55, 95%CI 1.88–2.46), diabetes (RR 1.59, 95%CI 1.41–1.78), hypertension (RR 1.90, 95%CI 1.69–2.15). Congestive heart failure (OR 4.76, 95%CI 1.34–16.97), hilar lymphadenopathy (OR 8.34, 95%CI 2.57–27.08), bilateral lung involvement (OR 4.86, 95%CI 3.19–7.39) and reticular pattern (OR 5.54, 95%CI 1.24–24.67) were associated with severe disease. Clinically relevant cut-offs for leukocytosis(>10.0 x109/L), lymphopenia(< 1.1 x109/L), elevated C-reactive protein(>100mg/L), LDH(>250U/L) and D-dimer(>1mg/L) had higher odds of severe disease and greater risk of mortality. Conclusion Knowledge of the factors associated of disease severity and mortality identified in our study may assist in clinical decision-making and critical-care resource allocation for patients with COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine