Evidence map›Paper›PMID 27730492›Full record

ArticleInternal and emergency medicine2017

Creation and validation of the acute heart failure risk score: AHFRS.

Susana Garcia-Gutierrez, José Maria Quintana, Ane Antón-Ladislao, Maria Soledad Gallardo, Esther Pulido, Irene Rilo, Elena Zubillaga, Miren Morillas, José Juan Onaindia, Nekane Murga and 3 more

Registry-linked trialAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02437058 (Validition of Scales for the Assessment of Sverity in Acute Decompensated Heart Failure), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT02437058 completednot on this map

Validition of Scales for the Assessment of Sverity in Acute Decompensated Heart Failure

Typeobservational_patient_registrySponsorHospital Galdakao-UsansoloRan2011 to 2015Enrolled1,854ConditionsHeart FailureArmspreidictive model
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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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

13 authors.

Susana Garcia-GutierrezUnidad de Investigación, Hospital Galdakao-Usansolo [Osakidetza], Red de Investigación en Servicios de Salud en Enfermedades Crónicas [REDISSEC], Barrio Labeaga s/n, 48960, Galdakao, Vizcaya, Spain. susana.garciagutierrez@osakidetza.net.ORCID http://orcid.org/0000-0002-8474-2479
José Maria QuintanaUnidad de Investigación, Hospital Galdakao-Usansolo [Osakidetza], Red de Investigación en Servicios de Salud en Enfermedades Crónicas [REDISSEC], Barrio Labeaga s/n, 48960, Galdakao, Vizcaya, Spain.
Ane Antón-LadislaoUnidad de Investigación, Hospital Galdakao-Usansolo [Osakidetza], Red de Investigación en Servicios de Salud en Enfermedades Crónicas [REDISSEC], Barrio Labeaga s/n, 48960, Galdakao, Vizcaya, Spain.
Maria Soledad GallardoServicio de Urgencias, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.
Esther PulidoServicio de Urgencias, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.
Irene RiloServicio de Cardiología, Hospital Donostia, Donostia, Spain.
Elena ZubillagaServicio de Medicina Interna, Hospital Donostia, Donostia, Spain.
Miren MorillasServicio de Cardiología, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.
José Juan OnaindiaServicio de Cardiología, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.
Nekane MurgaServicio de Cardiología, Hospital de Basurto, Bilbao, Spain.
Ricardo PalenzuelaServicio de Urgencias, Hospital Donostia, Donostia, Spain.
José González RuizServicio de Cardiología, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.
AHFRS Group

Funding

Department of Health of Basque Government 2011111045Euskal Irrati Telebista Maratoia 2010-Basque Foundation for Health Innovation and Research -BIOEF BIO10/EC/009
6 · The paper itself

Abstract

Our aims were to create and validate a clinical decision rule to assess severity in acute heart failure. We conducted a prospective cohort study of patients with symptoms of acute heart failure who attended the emergency departments (EDs) of three hospitals between April 2011 and April 2013. The following data were collected on arrival to or during the stay in the ED: baseline severity of symptoms; presence of decompensated comorbidities; number of hospital admissions/visits to EDs for acute heart failure during the previous 24 months; triggers of the exacerbation; clinical signs and symptoms; results of ancillary tests requested in the ED; treatments prescribed; and response to the initial treatment in the ED. The main outcome was poor course during the acute phase, in-hospital for admitted patients and during the first week following the ED visit for discharged patients, this being a composite endpoint that included death, admission to an intensive care unit, need for invasive mechanical ventilation, cardiac arrest and use of non-invasive mechanical ventilation. Multivariate logistic regression models were developed. Predictors of poor course in acute heart failure were oedema on chest radiography, visits to the ED and/or admissions in the previous two years, and levels of glycemia and blood urea nitrogen (areas under the curve of 0.83 in the derivation sample, and 0.82 in the validation sample). Four clinical predictors available in the ED can be used to create a simple score to predict poor course in acute heart failure.Clinical Trials.gov ID: NCT02437058.

Indexed as

PrognosisAgedAged, 80 and overCohort StudiesEmergency Service, HospitalFemaleHeart FailureHospitalizationHumansIntensive Care UnitsLogistic ModelsMaleOdds RatioPatient Outcome AssessmentProspective StudiesRisk AssessmentAcute heart failurePrognosisRisk stratification

Identifiers

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.