Author: Al Mutair, Abbas; Al Mutairi, Alya; Zaidi, Abdul Rehman Zia; Salih, Samer; Alhumaid, Saad; Rabaan, Ali A; Al-Omari, Awad
Title: Clinical Predictors of COVID-19 Mortality Among Patients in Intensive Care Units: A Retrospective Study Cord-id: j6ex8i7w Document date: 2021_7_21
ID: j6ex8i7w
Snippet: OBJECTIVE: The ongoing pandemic of the coronavirus disease 2019 (COVID-19), which originated from Wuhan, China, has been identified to be caused by the novel beta coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 has been spreading rapidly worldwide within just a few months. Our aims were to analyze clinical and laboratory abnormalities in ICU patients with COVID-19, in order to define which predictors can distinguish between those who are at higher risk of deve
Document: OBJECTIVE: The ongoing pandemic of the coronavirus disease 2019 (COVID-19), which originated from Wuhan, China, has been identified to be caused by the novel beta coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 has been spreading rapidly worldwide within just a few months. Our aims were to analyze clinical and laboratory abnormalities in ICU patients with COVID-19, in order to define which predictors can distinguish between those who are at higher risk of developing fatal versus non-fatal forms of the disease. METHODS: A descriptive cross-sectional survey was used; demographics, comorbidities, symptoms, laboratory parameters at ICU admission, and clinical outcomes for the adult patients admitted to ICU were collected from five hospitals in Saudi Arabia. RESULTS: A total of 86 patients with COVID-19 admitted in ICU, 50 patients died, 23 recovered, and 13 were still admitted, with a mortality rate of 58.1%. Septic shock (OR (95% CI): 58.1 (5.97–7812.8), p < 0.001) and acute kidney injury (AKI) (OR (95% CI): 7.279 (1.191–65.43), p = 0.032) had a significant impact on mortality. Cox proportional-hazards regression analysis revealed that septic shock (HR (95% CI): 9.502 (2.958–30.524), p < 0.001) and neutrophil count (HR (95% CI): 1.053 (1.023–1.085), p < 0.001) were significant predictors for mortality. CONCLUSION: Septic shock, AKI, and high neutrophil count were found to be predictive of death in these patients. Further studies are needed to aid efficient recognition and management of severe COVID-19 patients in our population.
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