ArticleInternational journal of general medicine2021
Clinical Predictors of COVID-19 Mortality Among Patients in Intensive Care Units: A Retrospective Study.
Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic models in COVID-19 infection that predict severity: a systematic review.European journal of epidemiology · 2023Pooled it
- Outcomes of COVID-19 During the First Wave in Saudi Arabia: An Observational Study of ICU Cases from a Single Hospital.Journal of clinical medicine · 2025Article
- Review
- The COVIDTW study: Clinical predictors of COVID-19 mortality and a novel AI prognostic model using chest X-ray.Journal of the Formosan Medical Association = Taiwan yi zhi · 2023Article
- Article
- Time to recovery and its predictors among COVID-19 positive patients admitted to treatment centers of Southwestern Ethiopian hospitals. A multicenter retrospective cohort study.Annals of medicine and surgery (2012) · 2022Article
- Early use of tocilizumab in solid organ transplant recipients with COVID-19: A retrospective cohort study in Saudi Arabia.Immunity, inflammation and disease · 2022Article
- Mortality Predictors Among COVID-19 Elderly in Taif, Saudi Arabia.Infection and drug resistance · 2022Article
- Diabetic ketoacidosis in patients with SARS-CoV-2: a systematic review and meta-analysis.Diabetology & metabolic syndrome · 2021Article
- Examining the Clinical Prognosis of Critically Ill Patients with COVID-19 Admitted to Intensive Care Units: A Nationwide Saudi Study.Medicina (Kaunas, Lithuania) · 2021Article
- Article
- Magnitude of Septic Shock and its Associated Factors Among Critically Ill COVID-19 Patients at Addis Ababa COVID-19 Care Centers, Ethiopia.SAGE open nursingArticle
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveThe 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.
methodsA 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.
resultsA 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.
conclusionSeptic 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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