Evidence map›Paper›PMID 33934335›Full record

ArticleAnaesthesia2021

Long-term trends in critical care admissions in Wales*

R J Pugh, R Bailey, T Szakmany, M Al Sallakh, J Hollinghurst, A Akbari, R Griffiths, C Battle, C Thorpe, C P Subbe and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Anaesthesia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Frailty in Critically Ill Patients with COVID-19: The Lessons Learned.Advances in experimental medicine and biology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

11 authors at 6 institutions in 3 countries.

R J PughDepartment of Anaesthetics, Glan Clwyd Hospital, Bodelwyddan, UK.ORCID https://orcid.org/0000-0002-2848-4444
R BaileyPublic Health Medicine, Swansea University, Swansea, UK.
T SzakmanyDepartment of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0003-3632-8844
M Al SallakhPublic Health Medicine, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0002-8333-7279
J HollinghurstPublic Health Medicine, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0002-3556-2017
A AkbariPublic Health Medicine, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0003-0814-0801
R GriffithsPublic Health Medicine, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0003-0510-0900
C BattleEd Major Critical Care Unit, Morriston Hospital, Swansea, UK.
C ThorpeDepartment of Anaesthetics, Ysbyty Gwynedd, Bangor, UK.
C P SubbeAcute and Critical Care Medicine, School of Medical Sciences, Bangor University, Bangor, UK.
R A LyonsPublic Health Medicine, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0001-5225-000X
Swansea University · GBBangor University · GBCardiff University · GBGlan Clwyd Hospital · GBMorriston Hospital · GBYsbyty Gwynedd Hospital NHS Trust · GB

Funding

British Heart FoundationHCRW_ SCF-18-1504Medical Research Council MC_PC_13043Medical Research Council MR/K006525/1Medical Research Council MR/V028367/1Wellcome Trust
6 · The paper itself

Abstract

As national populations age, demands on critical care services are expected to increase. In many healthcare settings, longitudinal trends indicate rising numbers and proportions of patients admitted to ICU who are older; elsewhere, including some parts of the UK, a decrease has raised concerns with regard to rationing according to age. Our aim was to investigate admission trends in Wales, where critical care capacity has not risen in the last decade. We used the Secure Anonymised Information Linkage Databank to identify and characterise critical care admissions in patients aged ≥ 18 years from 1 January 2008 to 31 December 2017. We categorised 85,629 ICU admissions as youngest (18-64 years), older (65-79 years) and oldest (≥ 80 years). The oldest group accounted for 15% of admissions, the older age group 39% and the youngest group 46%. Relative to the national population, the incidence of admission rates per 10,000 population in the oldest group decreased significantly over the study period from 91.5/10,000 in 2008 to 77.5/10,000 (a relative decrease of 15%), and among the older group from 89.2/10,000 in 2008 to 75.3/10,000 in 2017 (a relative decrease of 16%). We observed significant decreases in admissions with high comorbidity (modified Charlson comorbidity index); increases in the proportion of older patients admitted who were considered 'fit' rather than frail (electronic frailty index); and decreases in admissions with a medical diagnosis. In contrast to other healthcare settings, capacity constraints and surgical imperatives appear to have contributed to a relative exclusion of older patients presenting with acute medical illness.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsCritical CareFemaleHospitalizationHumansIntensive Care UnitsMaleMiddle AgedWalesYoung Adultageingcomorbiditycritical care capacityfrailtyoutcomes

Identifiers

PMID33934335
PMCPMC10138728
OpenAlexW3157976836

What OpenQuestion holds

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LicenceCC BY
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.