Understanding risk factors for death from Covid-19 is key to providing good quality clinical care. We assessed the presenting characteristics of the ‘first wave’ of patients with Covid-19 at Royal Oldham Hospital, UK and undertook logistic regression modelling to investigate factors associated with death. Of 470 patients admitted, 169 (36%) died. The median age was 71 years (interquartile range 57–82), and 255 (54.3%) were men. The most common comorbidities were hypertension ( n = 218, 46.4%), diabetes ( n = 143, 30.4%) and chronic neurological disease ( n = 123, 26.1%). The most frequent complications were acute kidney injury (AKI) ( n = 157, 33.4%) and myocardial injury ( n = 21, 4.5%). Forty-three (9.1%) patients required intubation and ventilation, and 39 (8.3%) received non-invasive ventilation. Independent risk factors for death were increasing age (odds ratio (OR) per 10 year increase above 40 years 1.87, 95% confidence interval (CI) 1.57–2.27), hypertension (OR 1.72, 95% CI 1.10–2.70), cancer (OR 2.20, 95% CI 1.27–3.81), platelets <150 × 10 3 /μl (OR 1.93, 95% CI 1.13–3.30), C-reactive protein ≥100 μg/ml (OR 1.68, 95% CI 1.05–2.68), >50% chest radiograph infiltrates (OR 2.09, 95% CI 1.16–3.77) and AKI (OR 2.60, 95% CI 1.64–4.13). There was no independent association between death and gender, ethnicity, deprivation level, fever, SpO 2 /FiO 2 , lymphopoenia or other comorbidities. These findings will inform clinical and shared decision making, including use of respiratory support and therapeutic agents.
【저자키워드】 COVID-19, SARS-CoV-2, Risk factors, Mortality, outcomes, 【초록키워드】 Cancer, Comorbidities, Ventilation, Comorbidity, intubation, Gender, C-reactive protein, Acute kidney injury, risk factor, hypertension, myocardial injury, AKI, Characteristics, Chest, Fever, Patient, death, Platelet, Complication, understanding, non-invasive ventilation, therapeutic agents, clinical care, association, Odds ratio, Respiratory Support, Deprivation, interquartile range, Factor, 95% CI, 95% confidence interval, median age, increasing age, good quality, men, independent, chronic neurological disease, died, required, presenting, diabete, logistic regression modelling, 【제목키워드】 hospital, Characteristics, predictor, England,