Evidence map›Paper›PMID 34183745›Full record

ArticleScientific reports2021

Frailty assessed by administrative tools and mortality in patients with pneumonia admitted to the hospital and ICU in Wales.

Tamas Szakmany, Joe Hollinghurst, Richard Pugh, Ashley Akbari, Rowena Griffiths, Rowena Bailey, Ronan A Lyons

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Tamas Szakmany *Department of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, UHW B Block 3, Heath Park Campus, Cardiff, CF14 4XN, UK. szakmanyt1@cardiff.ac.uk.
Joe Hollinghurst *Population Data Science and Health Data Research UK (HDR-UK), Swansea University, Swansea, UK.
Richard PughDepartment of Anaesthetics, Glan Clwyd Hospital, Betsi Cadwaladr University Health Board, Rhyl, UK.
Ashley AkbariPopulation Data Science and Health Data Research UK (HDR-UK), Swansea University, Swansea, UK.
Rowena GriffithsPopulation Data Science and Health Data Research UK (HDR-UK), Swansea University, Swansea, UK.
Rowena BaileyPopulation Data Science and Health Data Research UK (HDR-UK), Swansea University, Swansea, UK.
Ronan A LyonsPopulation Data Science and Health Data Research UK (HDR-UK), Swansea University, Swansea, UK.
Health Data Research UK · GBCardiff University · GBGlan Clwyd Hospital · GB

Funding

British Heart FoundationChief Scientist OfficeDepartment of HealthMedical Research CouncilWellcome Trust
6 · The paper itself

Abstract

The ideal method of identifying frailty is uncertain, and data on long-term outcomes is relatively limited. We examined frailty indices derived from population-scale linked data on Intensive Care Unit (ICU) and hospitalised non-ICU patients with pneumonia to elucidate the influence of frailty on mortality. Longitudinal cohort study between 2010-2018 using population-scale anonymised data linkage of healthcare records for adults admitted to hospital with pneumonia in Wales. Primary outcome was in-patient mortality. Odds Ratios (ORs [95% confidence interval]) for age, hospital frailty risk score (HFRS), electronic frailty index (eFI), Charlson comorbidity index (CCI), and social deprivation index were estimated using multivariate logistic regression models. The area under the receiver operating characteristic curve (AUC) was estimated to determine the best fitting models. Of the 107,188 patients, mean (SD) age was 72.6 (16.6) years, 50% were men. The models adjusted for the two frailty indices and the comorbidity index had an increased odds of in-patient mortality for individuals with an ICU admission (ORs for ICU admission in the eFI model 2.67 [2.55, 2.79], HFRS model 2.30 [2.20, 2.41], CCI model 2.62 [2.51, 2.75]). Models indicated advancing age, increased frailty and comorbidity were also associated with an increased odds of in-patient mortality (eFI, baseline fit, ORs: mild 1.09 [1.04, 1.13], moderate 1.13 [1.08, 1.18], severe 1.17 [1.10, 1.23]. HFRS, baseline low, ORs: intermediate 2.65 [2.55, 2.75], high 3.31 [3.17, 3.45]). CCI, baseline < 1, ORs: '1-10' 1.15 [1.11, 1.20], > 10 2.50 [2.41, 2.60]). For predicting inpatient deaths, the CCI and HFRS based models were similar, however for longer term outcomes the CCI based model was superior. Frailty and comorbidity are significant risk factors for patients admitted to hospital with pneumonia. Frailty and comorbidity scores based on administrative data have only moderate ability to predict outcome.

Indexed as

AgedComorbidityFemaleFrail ElderlyFrailtyGeriatric AssessmentHospitalizationHospital MortalityHospitalsHumansInpatientsIntensive Care UnitsLogistic ModelsLongitudinal StudiesMalePneumonia

Identifiers

PMID34183745
PMCPMC8239046
OpenAlexW3176742004

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LicenceCC BY
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Registered trials

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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.