Hospital re-admissions and deaths associated with COVID-19 illness: survival analysis (2021)

Type of publication:Conference abstract

Author(s):*Ali Z.; *Ahmed S.; *Makan A.; *Crawford E.; *Srinivasan K.; *Dev D.; *Ahmad N.; *Moudgil H.

Citation:European Respiratory Journal 2021; 58: Suppl. 65, OA4194

Abstract:Introduction: With better than anticipated survival (73.5%) of patients admitted with COVID-19 (SARS-Cov-2 RNA) at this hospital concern is whether this is linked to higher re-admission rates or later deaths. Relating to initial severity, objectives were to (1) analyse survival during follow up, and (2) document pattern of re-admissions.
Methods: Retrospective analysis of 217 patients, mean age 71.8 (SD 8.7, range 29-87) years admitted with COVID-19 during the 2020 UK peak and surge. Patients requiring >40% FiO2 demand or oxygen plus devices had severe illness. CXR were abnormal if with COVID changes. Analysis using statistical software reports Kaplan Meier survival curves with log rank tests and comparisons by chi square (X2).
Results: Deaths climbed from 60/217 (27.6%) at discharge to 83/217 (38.2%) during follow up >250 days. Figure below shows survival curves based on initial severity; separation of curves highlights worse trajectory with severe disease [X2 (df 1, n=213) 29.42 p=.0000058]. Similar curves were noted in patients with abnormal (58%) initial CXRs [X2 (df 1, n=213) 5.53, p=.019]. 51/157 (32.5%) surviving initial admission were re-admitted with an early date skew of re-admissions.
Conclusions: Data confirm the trend in deaths after discharge and high re-admissions early after discharge. Survival is predicted by severity of respiratory dependency and CXR COVID changes.

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