| Popis: |
ObjectivesTo characterise the clinical features of hospitalised COVID-19 patients in a single centre during the first epidemic wave and explore potential predictive variables associated with outcomes such as mortality and the need for mechanical ventilation, using baseline clinical parameters.MethodologyWe conducted a retrospective review of electronic records for demographic, clinical and laboratory data, imaging and outcomes for 500 hospitalised patients between February 20thand May 7th2020 from Southend University Hospital, Essex, UK. Multivariate logistic regression models were used to identify risk factors relevant to outcome.ResultsThe mean age of the cohort admitted to hospital with Covid-19, was 69.4 and 290 (58%) were over 70. The majority were Caucasians, 437 (87%) with ≤2 comorbidities 280(56%). Most common were hypertension 186(37%), Cardiovascular disease 178(36%) and Diabetes 128 (26%), represented in a larger proportion on the mortality group. Mean CFS was 4 with Non - Survivors had significantly higher CFS 5 vs 3 in survivors, pConclusionsIn this single centre study, older and frailer patients with more comorbidities and a higher baseline CRP and creatinine were risk factors for worse outcomes. Integrated frailty and age-based risk stratification are essential, in addition to monitoring SFR (Sp02/Fi02) and inflammatory markers throughout the disease course to allow for early intervention to improve patient outcomes. |
