Evidence map›Paper›PMID 34007893›Full record

ArticleInternational journal of population data science2021

Length of Stay in ICU of Covid-19 patients in England, March - May 2020.

Nick Shryane, Maria Pampaka, Andrea Aparicio-Castro, Shazaad Ahmad, Mark J Elliot, Jihye Kim, Jennifer Murphy, Wendy Olsen, Diego Pérez Ruiz, Arkadiusz Wiśniowski

Open access · goldAbstract read
In one paragraph

Article in International journal of population data science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  6. Discharge to post-acute care and other predictors of prolonged length of stay during the initial COVID-19 surge: a single site analysis.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
    Observational
  7. Observational
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  9. Mortality trends and length of stays among hospitalized patients with COVID-19 in Ontario and Québec (Canada): a population-based cohort study of the first three epidemic waves.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Nick ShryaneDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Maria PampakaDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Andrea Aparicio-CastroDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Shazaad AhmadDepartment of Virology, Manchester Medical Microbiology Partnership, Manchester Foundation Trust, Manchester Academic Health Sciences Centre, Oxford Road, M13 9WL Manchester, UK.
Mark J ElliotDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Jihye KimDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Jennifer MurphyDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Wendy OlsenDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Diego Pérez RuizDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
Arkadiusz WiśniowskiDepartment of Social Statistics, School of Social Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, UK.
University of Manchester · GBManchester Academic Health Science Centre · GB

Funding

Medical Research Council MR/V038613/1
6 · The paper itself

Abstract

introductionLength of Stay (LoS) in Intensive Care Units (ICUs) is an important measure for planning beds capacity during the Covid-19 pandemic. However, as the pandemic progresses and we learn more about the disease, treatment and subsequent LoS in ICU may change.

objectivesTo investigate the LoS in ICUs in England associated with Covid-19, correcting for censoring, and to evaluate the effect of known predictors of Covid-19 outcomes on ICU LoS. DATA SOURCES: We used retrospective data on Covid-19 patients, admitted to ICU between 6 March and 24 May, from the "Covid-19 Hospitalisation in England Surveillance System" (CHESS) database, collected daily from England's National Health Service, and collated by Public Health England.

methodsWe used Accelerated Failure Time survival models with Weibull and log-normal distributional assumptions to investigate the effect of predictors, which are known to be associated with poor Covid-19 outcomes, on the LoS in ICU.

resultsPatients admitted before 25 March had significantly longer LoS in ICU (mean = 18.4 days, median = 12), controlling for age, sex, whether the patient received Extracorporeal Membrane Oxygenation, and a co-morbid risk factors score, compared with the period after 7 April (mean = 15.4, median = 10). The periods of admission reflected the changes in the ICU admission policy in England. Patients aged 50-65 had the longest LoS, while higher co-morbid risk factors score led to shorter LoS. Sex and ethnicity were not associated with ICU LoS.

conclusionsThe skew of the predicted LoS suggests that a mean LoS, as compared with median, might be better suited as a measure used to assess and plan ICU beds capacity. This is important for the ongoing second and any future waves of Covid-19 cases and potential pressure on the ICU resources. Also, changes in the ICU admission policy are likely to be confounded with improvements in clinical knowledge of Covid-19.

Indexed as

COVID-19Englandintensive carelength of staysurvival analysis

Identifiers

PMID34007893
PMCPMC8104060
OpenAlexW3135090179

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.