Evidence map›Paper›PMID 28204965›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2017

Prognostic value of simple frailty and malnutrition screening tools in patients with acute heart failure due to left ventricular systolic dysfunction.

S Sze, J Zhang, P Pellicori, D Morgan, A Hoye, A L Clark

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05655910 (Enhanced Nutritional Optimization in LVAD), which is not on this map. Cited by 70 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 6 pooled it
6.8field-weighted citation impact, top 3% 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.

NCT05655910 narecruitingnot on this mapstarted 2022, after this paper: background citation

Enhanced Nutritional Optimization in LVAD (ENOL) Trial

TypeinterventionalSponsorColumbia UniversityRan2022 to 2027Enrolled50ConditionsHeart Failure, Gut Microbiome, Nutritional DeficiencyArmsEnsure Surgery Immunonutrition shake
3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 6 syntheses or guidelines pooled it, 134 citations in OpenAlex.

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  16. Overlap of frailty and malnutrition as prognosticators in older patients with heart failure.American heart journal plus : cardiology research and practice · 2024
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10 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

S SzeDepartment of Cardiology, Hull and East Yorkshire Medical Research and Teaching Centre, Castle Hill Hospital, Hull York Medical School (at University of Hull), Cottingham, Kingston upon Hull, HU16 5JQ, UK. Shirley.sze@nhs.net.
J ZhangDepartment of Cardiology, Hull and East Yorkshire Medical Research and Teaching Centre, Castle Hill Hospital, Hull York Medical School (at University of Hull), Cottingham, Kingston upon Hull, HU16 5JQ, UK.
P PellicoriDepartment of Cardiology, Hull and East Yorkshire Medical Research and Teaching Centre, Castle Hill Hospital, Hull York Medical School (at University of Hull), Cottingham, Kingston upon Hull, HU16 5JQ, UK.
D MorganDepartment of Cardiology, Diana, Princess of Wales Hospital, Grimsby, Northeast Lincolnshire, DN33 2BA, UK.
A HoyeDepartment of Cardiology, Hull and East Yorkshire Medical Research and Teaching Centre, Castle Hill Hospital, Hull York Medical School (at University of Hull), Cottingham, Kingston upon Hull, HU16 5JQ, UK.
A L ClarkDepartment of Cardiology, Hull and East Yorkshire Medical Research and Teaching Centre, Castle Hill Hospital, Hull York Medical School (at University of Hull), Cottingham, Kingston upon Hull, HU16 5JQ, UK.
Castle Hill Hospital · GBDiana Princess of Wales Hospital · GBHull York Medical School · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty and malnutrition are common in patients with heart failure (HF), and are associated with adverse outcomes. We studied the prognostic value of three malnutrition and three frailty indices in patients admitted acutely to hospital with HF.

methods265 consecutive patients [62% males, median age 80 (interquartile range (IQR): 72-86) years, median NTproBNP 3633 (IQR: 2025-6407) ng/l] admitted with HF between 2013 and 2014 were enrolled. Patients were screened for frailty using the Derby frailty index (DFI), acute frailty network (AFN) frailty criteria, and clinical frailty scale (CFS) and for malnutrition using the geriatric nutritional risk index (GNRI), controlling nutritional status (CONUT) score and prognostic nutritional index (PNI).

resultsAccording to the CFS (> 4), DFI, and AFN, 53, 50, and 53% were frail, respectively. According to the GNRI (≤ 98), CONUT score (> 4), and PNI (≤ 38), 46, 46, and 42% patients were malnourished, respectively. During a median follow-up of 598 days (IQR 319-807 days), 113 patients died. One year mortality was 1% for those who were neither frail nor malnourished; 15% for those who were either malnourished or frail; and 65% for those who were both malnourished and frail. Amongst the malnutrition scores, PNI, and amongst the frailty scores, CFS increased model performance most compared with base model. A final model, including CFS and PNI, increased c-statistic for mortality prediction from 0.68 to 0.84.

conclusionWorsening frailty and malnutrition indices are strongly related to worse outcome in patients hospitalised with HF.

Indexed as

Nutritional StatusAgedAged, 80 and overEchocardiographyFemaleFollow-Up StudiesFrailtyGeriatric AssessmentHeart Failure, SystolicHeart VentriclesHumansIncidenceMaleMalnutritionPrognosisRetrospective StudiesFrailtyHeart failureMalnutritionMortalityScore

Identifiers

PMID28204965
OpenAlexW2588102412

What OpenQuestion holds

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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.