About: Patient characteristics and predictors of mortality in 470 adults admitted to a district general hospital in England with Covid-19

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About: Patient characteristics and predictors of mortality in 470 adults admitted to a district general hospital in England with Covid-19 Goto Sponge NotDistinct Permalink

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Patient characteristics and predictors of mortality in 470 adults admitted to a district general hospital in England with Covid-19
Creator	Mrcp, Mbbs Bagg, Lydia Craven, Roanna Dixon, Michael Evans, Eleanor Kambele, Belina Kwong, Man Mchem, Bsc Meghani, Nevan Newell, Ian Ng, Georges Powell, Bethan Rehman, Asif Skilton, Gemma Thompson, Joseph Yaqoob, Irha
Source	MedRxiv
abstract	Background Understanding risk factors for death in Covid 19 is key to providing good quality clinical care. Due to a paucity of robust evidence, we sought to assess the presenting characteristics of patients with Covid 19 and investigate factors associated with death. Methods Retrospective analysis of adults admitted with Covid 19 to Royal Oldham Hospital, UK. Logistic regression modelling was utilised to explore factors predicting death. Results 470 patients were admitted, of whom 169 (36%) died. The median age was 71 years (IQR 57 to 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 (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 (OR per 10 year increase above 40 years 1.87, 95% CI 1.57 to 2.27), hypertension (OR 1.72, 1.10 to 2.70), cancer (OR 2.20, 1.27 to 3.81), platelets <150x103/microlitre (OR 1.93, 1.13 to 3.30), C-reactive protein >100 micrograms/mL (OR 1.68, 1.05 to 2.68), >50% chest radiograph infiltrates, (OR 2.09, 1.16 to 3.77) and acute kidney injury (OR 2.60, 1.64 to 4.13). There was no independent association between death and gender, ethnicity, deprivation level, fever, SpO2/FiO2 (oxygen saturation index), lymphopenia or other comorbidities. Conclusions We characterised the first wave of patients with Covid 19 in one of Englands highest incidence areas, determining which factors predict death. These findings will inform clinical and shared decision making, including the use of respiratory support and therapeutic agents.
has issue date	2020-07-27(xsd:dateTime)
bibo:doi	10.1101/2020.07.21.20153650
has license	medrxiv
sha1sum (hex)	55c61e8ae94435982720773ca620ad2aa58f9447
schema:url	https://doi.org/10.1101/2020.07.21.20153650
resource representing a document's title	Patient characteristics and predictors of mortality in 470 adults admitted to a district general hospital in England with Covid-19
resource representing a document's body	covid:55c61e8ae94435982720773ca620ad2aa58f9447#body_text
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