Objectives To 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. Methodology We conducted a retrospective review of electronic records for demographic, clinical and laboratory data, imaging and outcomes for 500 hospitalised patients between February 20th and May 7th 2020 from Southend University Hospital, Essex, UK. Multivariate logistic regression models were used to identify risk factors relevant to outcome. Results The 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 less than 2 co-morbidities 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, p<0.001. In addition, Mean CRP was significantly higher 150 vs 90, p<0.001 in Non Survivors. We observed the baseline predictors for mortality were age, CFS and CRP. Conclusions In 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.