Clinical characteristics and Outcomes of 500 patients with COVID Pneumonia : Results from a Single center(Southend University Hospital)
Koduri, G.; Gokaraju, S.; Darda, M.; Warrier, V.; Duta, I.; Hayes, F.; El Sayed, I.; Ahmed, Y. N.
Show abstract
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 20th and May 7th 2020 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, 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. ConclusionsIn 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.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Biometric covariates and outcome in COVID-19 patients: Are we looking close enough? 91%
- Clinical Features and Predictors for Patients with Severe SARS-CoV-2 Pneumonia: a retrospective multicenter cohort study 91%
- Increase in diagnoses associated with Post Acute Sequelae of COVID-19 (PASC) before and during the COVID-19 pandemic: a case-control study in the total population of Region Stockholm. 90%
Similar papers in this journal
- Disease spectrum and outcomes among elderly patients in two tertiary hospitals in Dar es Salaam, Tanzania 92%
- Positive association of Angiotensin II Receptor Blockers, not Angiotensin-Converting Enzyme Inhibitors, with an increased vulnerability to SARS-CoV-2 infection in patients hospitalized for suspected COVID-19 pneumonia 92%
- Clinical profile and factors associated with COVID-19 in Cameroon: a prospective cohort study 91%
Similar papers in this journal
- Predictors of adverse outcome in patients with suspected COVID-19 managed in a ‘virtual hospital’ setting: a cohort study 93%
- Validating the RISE UP score for predicting prognosis in patients with COVID-19 in the emergency department, a retrospective study 92%
- Assessing the Safety of Home Oximetry for Covid-19: A multi-site retrospective observational study 91%
Similar papers in this journal
- Hospital outcomes in interstitial lung disease-related admissions: a multicentre retrospective study in the North West of England. 94%
- Clinical characteristics and outcomes of adult patients admitted with COVID-19 in East London: a retrospective cohort analysis 94%
- Post-COVID assessment in a specialist clinical service: a 12-month, single-centre analysis of symptoms and healthcare needs in 1325 individuals 91%
Similar papers in this journal
- Symptoms persisting after hospitalization for COVID-19: 12 months interim results of the COFLOW study 91%
- Early prone positioning does not improve the outcome of patients with mild pneumonia due to SARS-CoV-2: results from an open-label, randomized controlled trial (the EPCoT Study) 90%
- COPD in the time of COVID-19: An analysis of acute exacerbations and reported behavioural changes in patients with COPD 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.