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Trends in Intensive Care for Patients with COVID-19 in England, Wales, and Northern Ireland.
Doidge, James C; Gould, Doug W; Ferrando-Vivas, Paloma; Mouncey, Paul R; Thomas, Karen; Shankar-Hari, Manu; Harrison, David A; Rowan, Kathryn M.
  • Doidge JC; Clinical Trials Unit, Intensive Care National Audit & Research Centre, London, United Kingdom.
  • Gould DW; Clinical Trials Unit, Intensive Care National Audit & Research Centre, London, United Kingdom.
  • Ferrando-Vivas P; Clinical Trials Unit, Intensive Care National Audit & Research Centre, London, United Kingdom.
  • Mouncey PR; Clinical Trials Unit, Intensive Care National Audit & Research Centre, London, United Kingdom.
  • Thomas K; Clinical Trials Unit, Intensive Care National Audit & Research Centre, London, United Kingdom.
  • Shankar-Hari M; School of Immunology and Microbial Science, King's College London, London, United Kingdom; and.
  • Harrison DA; Guy's and St. Thomas' National Health Service Foundation Trust, ICU Support Offices, St. Thomas' Hospital, London, United Kingdom.
  • Rowan KM; Clinical Trials Unit, Intensive Care National Audit & Research Centre, London, United Kingdom.
Am J Respir Crit Care Med ; 203(5): 565-574, 2021 03 01.
Article in English | MEDLINE | ID: covidwho-970749
ABSTRACT
Rationale By describing trends in intensive care for patients with coronavirus disease (COVID-19) we aim to support clinical learning, service planning, and hypothesis generation.

Objectives:

To describe variation in ICU admission rates over time and by geography during the first wave of the epidemic in England, Wales, and Northern Ireland; to describe trends in patient characteristics on admission to ICU, first-24-hours physiology in ICU, processes of care in ICU and patient outcomes; and to explore deviations in trends during the peak period.

Methods:

A cohort of 10,741 patients with COVID-19 in the Case Mix Program national clinical audit from February 1 to July 31, 2020, was used. Analyses were stratified by time period (prepeak, peak, and postpeak periods) and geographical region. Logistic regression was used to estimate adjusted differences in 28-day in-hospital mortality between periods.Measurements and Main

Results:

Admissions to ICUs peaked almost simultaneously across regions but varied 4.6-fold in magnitude. Compared with patients admitted in the prepeak period, patients admitted in the postpeak period were slightly younger but with higher degrees of dependency and comorbidity on admission to ICUs and more deranged first-24-hours physiology. Despite this, receipt of invasive ventilation and renal replacement therapy decreased, and adjusted 28-day in-hospital mortality was reduced by 11.8% (95% confidence interval, 8.7%-15.0%). Many variables exhibited u-shaped or n-shaped curves during the peak.

Conclusions:

The population of patients with COVID-19 admitted to ICUs, and the processes of care in ICUs, changed over the first wave of the epidemic. After adjustment for important risk factors, there was a substantial improvement in patient outcomes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Critical Care / Pandemics / COVID-19 / Intensive Care Units Type of study: Cohort study / Observational study / Prognostic study Limits: Aged / Female / Humans / Middle aged Country/Region as subject: Europa Language: English Journal: Am J Respir Crit Care Med Journal subject: Critical Care Year: 2021 Document Type: Article Affiliation country: Rccm.202008-3212OC

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Critical Care / Pandemics / COVID-19 / Intensive Care Units Type of study: Cohort study / Observational study / Prognostic study Limits: Aged / Female / Humans / Middle aged Country/Region as subject: Europa Language: English Journal: Am J Respir Crit Care Med Journal subject: Critical Care Year: 2021 Document Type: Article Affiliation country: Rccm.202008-3212OC