ABSTRACT
BACKGROUND: Elderly patients with coronavirus disease 2019 (COVID-19) who have comorbidities, frailty or profound disabilities experience poor outcomes. We analyzed the clinical characteristics of elderly patients from Wuhan who had COVID-19 during the early stages of the pandemic. AIM: To identify factors affecting the early mortality of elderly patients with COVID-19. METHODS: The records of 234 patients who were 65-years-old or more and were hospitalized in Wuhan Huoshenshan Hospital from February 4 to March 4, 2020 were reviewed. All patients had confirmed COVID-19 and the final date of follow-up was April 4, 2020. RESULTS: There were 163 cases of mild disease (69.66%), 39 cases of severe disease (16.67%) and 32 cases of critical disease (13.68%). Twenty-nine patients died within 1 mo (12.40%), all of whom had critical disease. Surviving patients and deceased patients had no significant differences in age or chronic diseases. Overall, the most common symptoms were fever (65.4%), dry cough (57.3%), fatigue (47.4%) and shortness of breath (41%). The deceased patients had higher levels of multiple disease markers (C-reactive protein, D-dimer, lactate dehydrogenase, alanine amino transferase, aspartate aminotransferase, creatinine kinase and creatinine kinase-MB) and higher incidences of lymphocytopenia and hypoproteinemia. CONCLUSION: This single-center study of elderly patients from Wuhan, China who were hospitalized with COVID-19 indicated that age and chronic diseases were not associated with mortality. Hypertension, diabetes and cardiovascular disease were the most common comorbidities and the most common symptoms were fever, dry cough, fatigue and shortness of breath. Lymphocytopenia, increased levels of D-dimer and other markers indicative of damage to the heart, kidneys or liver were associated with an increased risk of death.
ABSTRACT
ABSTRACT: Various disease severity scoring systems were currently used in critically ill patients with acute respiratory failure, while their performances were not well investigated.The study aimed to investigate the difference in prognosis predictive value of 4 different disease severity scoring systems in patients with acute respiratory failure.With a retrospective cohort study design, adult patients admitted to intensive care unit (ICU) with acute respiratory failure were screened and relevant data were extracted from an open-access American intensive care database to calculate the following disease severity scores on ICU admission: acute physiology score (APS) III, Sequential Organ Failure Assessment score (SOFA), quick SOFA (qSOFA), and Oxford Acute Severity of Illness Score (OASIS). Hospital mortality was chosen as the primary outcome. Multivariable logistic regression analyses were performed to analyze the association of each scoring system with the outcome. Receiver operating characteristic curve analyses were conducted to evaluate the prognosis predictive performance of each scoring system.A total of 4828 patients with acute respiratory failure were enrolled with a hospital mortality rate of 16.78%. APS III (odds ratio [OR] 1.03, 95% confidence interval [CI] 1.02-1.03), SOFA (OR 1.15, 95% CI 1.12-1.18), qSOFA (OR 1.26, 95% CI 1.11-1.42), and OASIS (OR 1.06, 95% CI 1.05-1.08) were all significantly associated with hospital mortality after adjustment for age and comorbidities. Receiver operating characteristic analyses showed that APS III had the highest area under the curve (AUC) (0.703, 95% CI 0.683-0.722), and SOFA and OASIS shared similar predictive performance (area under the curve 0.653 [95% CI 0.631-0.675] and 0.664 [95% CI 0.644-0.685], respectively), while qSOFA had the worst predictive performance for predicting hospital mortality (0.553, 95% CI 0.535-0.572).These results suggested the prognosis predictive value varied among the 4 different disease severity scores for patients admitted to ICU with acute respiratory failure.
