Predictive factors of mortality related to COVID-19: A retrospective cohort study of 600 cases in the intensive care unit of the university hospital of Oujda

Abstract

Introduction: Although the corona virus is responsible in the majority of cases for mild symptoms, there are sometimes severe and even lethal forms of this disease. Our study aimed to identify clinical and para-clinical predictors of mortality related to COVID-19. Materials and methods: This is a single-center retrospective cohort study conducted from March 2020 to December 2020 at intensive care unit department of Mohamed VI University Hospital Oujda, Morocco including 600 patients with COVID-19. Results: We included 600 patients, the mortality rate was 32.50%, the predictors of mortality identified in our study were: associated heart disease (RR: 1.826; CI: [1.081–3.084]; p:0.024), high D-dimer level at admission (RR:1.027; CI: [1.011–1.047]; p:0.001), need for mechanical ventilation (RR: 4.158; CI: [2.648–6.530]; p: <0.0001). Conclusion: Based on these results, we were able to identify 3 predictors of COVID 19 mortality (associated heart failure, high D-dimer level on admission, and need for mechanical ventilation). These predictors could help clinicians to identify early patients with high risk of lethality in order to reduce mortality related to corona virus.