Evidence map›Paper›PMID 39919129›Full record

ArticlePloS one2025

Comparison of frailty instruments for predicting mortality and prolon ged hospitalization in acute coronary syndrome patients.

Anne Langsted, Jocelyne Benatar, Andrew Kerr, Katherine Bloomfield, Gerry Devlin, Alexander Sasse, David Smythe, Andrew To, Harvey White, Gerrard Wilkins and 1 more

Erratum issuedAbstract readComparative Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Anne LangstedDepartment of Clinical Biochemistry, Rigshospitalet, Denmark.ORCID https://orcid.org/0000-0002-0201-7223
Jocelyne BenatarCardiology Department, Health New Zealand Te Whatu Ora Te Toki Tumai, Green Lane Cardiovascular Services, Auckland, New Zealand.
Andrew KerrDepartment of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand.
Katherine BloomfieldOlder Peoples Health, Waitemata, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-6679-1763
Gerry DevlinCardiology Department, Gisborne Hospital, Gisborne, New Zealand.
Alexander SasseCardiology Department, Wellington Hospital, Wellington, New Zealand.
David SmytheCardiology Department, Christchurch Hospital, Christchurch, New Zealand.
Andrew ToCardiology Department, North Shore Hospital, Auckland, New Zealand.
Harvey WhiteCardiology Department, Health New Zealand Te Whatu Ora Te Toki Tumai, Green Lane Cardiovascular Services, Auckland, New Zealand.
Gerrard WilkinsCardiology Department, Dunedin Hospital, Dunedin, New Zealand.
Ralph StewartCardiology Department, Health New Zealand Te Whatu Ora Te Toki Tumai, Green Lane Cardiovascular Services, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-6167-1225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the relative strengths of 3 frailty assessment instruments for predicting mortality and prolonged hospitalization in acute coronary syndrome patients.

designProspective cohort study.

settingAcute cardiac care units in New Zealand.

participants1174 patients >70 years of age hospitalized with an acute coronary syndrome.

interventionsThe Clinical Frailty Scale (CFS), Edmonton Frail Scale (EFS) and Fried Criteria (Fried), were completed during hospital admission following an acute coronary syndrome when the patient was clinically stable. PRIMARY AND SECONDARY OUTCOME MEASURES: All-cause mortality over the next ~5 years and hospitalization for >10 days in the next year determined from national administrative data.

resultsDuring median follow-up of 5.1 years there were 353 deaths. Harrell's C-statistic for mortality for EFS was 0.663, Fried 0.648 and CFS 0.640 (p<0.001 for all). C-statistics for hospitalization >10 days (n = 267, 22%) were EFS 0.649, Fried 0.628, and CFS 0.584 (p<0.001 for all). Associations between increase in frailty scores and mortality were graded including in patients not classified as frail. The hazard ratio (HR) for mortality, adjusted for age and sex, for patients with an EFS score ≥9 (n = 197) compared to ≤2 (n = 331) was 5.0 (95% CI: 3.4-7.4). In models which included the Euroscore II or GRACE risk scores the EFS improved risk discrimination for both mortality and prolonged hospitalization more than the CFS and Fried.

conclusionIn older patients assessed following an acute coronary syndrome the EFS discriminated the risk of all cause mortality and prolonged hospitalization better than the CFS and Fried tests, and improved risk discrimination when added to clinical risk scores.

Indexed as

Acute Coronary SyndromeFrailtyHospitalizationAgedAged, 80 and overFemaleFrail ElderlyGeriatric AssessmentHumansMaleNew ZealandProspective Studies

Identifiers

PMID39919129
PMCPMC11805369

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