BACKGROUND: Coronavirus disease 2019 (COVID-19) is a systemic disease that can rapidly progress into acute respiratory failure and death. Timely identification of these patients is crucial for a proper administration of health-care resources. OBJECTIVE: To develop a predictive score that estimates the risk of invasive mechanical ventilation (IMV) among patients with COVID-19. STUDY DESIGN: Retrospective cohort study of 401 COVID-19 patients diagnosed from March 12, to August 10, 2020. The score development cohort comprised 211 patients (52.62% of total sample) whereas the validation cohort included 190 patients (47.38% of total sample). We divided participants according to the need of invasive mechanical ventilation (IMV) and looked for potential predictive variables. RESULTS: We developed two predictive scores, one based on Interleukin-6 (IL-6) and the other one on the Neutrophil/Lymphocyte ratio (NLR), using the following variables: respiratory rate, SpO2/FiO2 ratio and lactic dehydrogenase (LDH). The area under the curve (AUC) in the development cohort was 0.877 (0.823-0.931) using the NLR based score and 0.891 (0.843-0.939) using the IL-6 based score. When compared with other similar scores developed for the prediction of adverse outcomes in COVID-19, the COVID-IRS scores proved to be superior in the prediction of IMV. CONCLUSION: The COVID-IRS scores accurately predict the need for mechanical ventilation in COVID-19 patients using readily available variables taken upon admission. More studies testing the applicability of COVID-IRS in other centers and populations, as well as its performance as a triage tool for COVID-19 patients are needed.
BACKGROUND:Coronavirus disease 2019 (COVID-19) is a systemic disease that can rapidly progress into acute respiratory failure and death. Timely identification of these patients is crucial for a proper administration of health-care resources. OBJECTIVE: To develop a predictive score that estimates the risk of invasive mechanical ventilation (IMV) among patients with COVID-19. STUDY DESIGN: Retrospective cohort study of 401 COVID-19patients diagnosed from March 12, to August 10, 2020. The score development cohort comprised 211 patients (52.62% of total sample) whereas the validation cohort included 190 patients (47.38% of total sample). We divided participants according to the need of invasive mechanical ventilation (IMV) and looked for potential predictive variables. RESULTS: We developed two predictive scores, one based on Interleukin-6 (IL-6) and the other one on the Neutrophil/Lymphocyte ratio (NLR), using the following variables: respiratory rate, SpO2/FiO2 ratio and lactic dehydrogenase (LDH). The area under the curve (AUC) in the development cohort was 0.877 (0.823-0.931) using the NLR based score and 0.891 (0.843-0.939) using the IL-6 based score. When compared with other similar scores developed for the prediction of adverse outcomes in COVID-19, the COVID-IRS scores proved to be superior in the prediction of IMV. CONCLUSION: The COVID-IRS scores accurately predict the need for mechanical ventilation in COVID-19patients using readily available variables taken upon admission. More studies testing the applicability of COVID-IRS in other centers and populations, as well as its performance as a triage tool for COVID-19patients are needed.
Authors: Jason Zucker; Angela Gomez-Simmonds; Lawrence J Purpura; Sherif Shoucri; Elijah LaSota; Nicholas E Morley; Brit W Sovic; Marvin A Castellon; Deborah A Theodore; Logan L Bartram; Benjamin A Miko; Matthew L Scherer; Kathrine A Meyers; William C Turner; Maureen Kelly; Martina Pavlicova; Cale N Basaraba; Matthew R Baldwin; Daniel Brodie; Kristin M Burkart; Joan Bathon; Anne-Catrin Uhlemann; Michael T Yin; Delivette Castor; Magdalena E Sobieszczyk Journal: J Clin Med Date: 2021-08-11 Impact factor: 4.964
Authors: Sevda Molani; Patricia V Hernandez; Ryan T Roper; Venkata R Duvvuri; Andrew M Baumgartner; Jason D Goldman; Nilüfer Ertekin-Taner; Cory C Funk; Nathan D Price; Noa Rappaport; Jennifer J Hadlock Journal: Sci Rep Date: 2022-04-28 Impact factor: 4.996
Authors: Cristian Arriaga-Canon; Laura Contreras-Espinosa; Rosa Rebollar-Vega; Rogelio Montiel-Manríquez; Alberto Cedro-Tanda; José Antonio García-Gordillo; Rosa María Álvarez-Gómez; Francisco Jiménez-Trejo; Clementina Castro-Hernández; Luis A Herrera Journal: Int J Mol Sci Date: 2022-09-21 Impact factor: 6.208