Evidence map›Paper›PMID 34185827›Full record

ArticleAge and ageing2022

External validation of the Hospital Frailty Risk Score in France.

Thomas Gilbert, Quentin Cordier, Stéphanie Polazzi, Marc Bonnefoy, Eilìs Keeble, Andrew Street, Simon Conroy, Antoine Duclos

Registry-linked trialAbstract read
In one paragraph

Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03905629 (Validation of the Hospital Frailty Risk Score in Combination With Charlson/Elixhauser Comorbidity Coding Algorithms on French Hospital Databases), which is not on this map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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.

NCT03905629 completednot on this map

Validation of the Hospital Frailty Risk Score in Combination With Charlson/Elixhauser Comorbidity Coding Algorithms on French Hospital Databases

TypeobservationalSponsorHospices Civils de LyonRan2019 to 2019Enrolled1,000,000ConditionsElderly, Emergency Hospitalization, FrailtyArmsNone (retrospective observational study)
3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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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

8 authors.

Thomas GilbertService de médecine gériatrique, Hospices Civils de Lyon, Groupement Hospitalier Sud, 69495 Pierre-Bénite, France.
Quentin CordierHealth Data Department, Hospices Civils de Lyon, Lyon, France.
Stéphanie PolazziResearch on Healthcare professionals and Performance (RESHAPE, inserm U1290), université Claude Bernard Lyon1, Lyon, France.
Marc BonnefoyService de médecine gériatrique, Hospices Civils de Lyon, Groupement Hospitalier Sud, 69495 Pierre-Bénite, France.
Eilìs KeebleThe Nuffield Trust, London W1G 7LP, UK.
Andrew StreetDepartment of Health Policy, London School of Economics, London WC2A 2AE, UK.
Simon ConroyDepartment of Health Sciences, College of Life Sciences, University of Leicester, Leicester LE1 7HA, UK.
Antoine DuclosResearch on Healthcare professionals and Performance (RESHAPE, inserm U1290), université Claude Bernard Lyon1, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Hospital Frailty Risk Score (HFRS) has made it possible internationally to identify subgroups of patients with characteristics of frailty from routinely collected hospital data.

objectiveTo externally validate the HFRS in France.

designA retrospective analysis of the French medical information database.

setting743 hospitals in Metropolitan France. SUBJECTS: All patients aged 75 years or older hospitalised as an emergency in 2017 (n = 1,042,234).

methodsThe HFRS was calculated for each patient based on the index stay and hospitalisations over the preceding 2 years. Main outcome measures were 30-day in-patient mortality, length of stay (LOS) >10 days and 30-day readmissions. Mixed logistic regression models were used to investigate the association between outcomes and HFRS score.

resultsPatients with high HFRS risk were associated with increased risk of mortality and prolonged LOS (adjusted odds ratio [aOR] = 1.38 [1.35-1.42] and 3.27 [3.22-3.32], c-statistics = 0.676 and 0.684, respectively), while it appeared less predictive of readmissions (aOR = 1.00 [0.98-1.02], c-statistic = 0.600). Model calibration was excellent. Restricting the score to data prior to index admission reduced discrimination of HFRS substantially.

conclusionsHFRS can be used in France to determine risks of 30-day in-patient mortality and prolonged LOS, but not 30-day readmissions. Trial registration: Reference ID on clinicaltrials.gov: ID: NCT03905629.

Indexed as

FrailtyAgedHospitalsHumansLength of StayRetrospective StudiesRisk Factorsfrailtyhospitalisationlength of staymortalityolder peoplerisk assessmentstatistics and numerical data

Identifiers

PMID34185827
PMCPMC8753041

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Registered trials

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.