Evidence map›Paper›PMID 34722076›Full record

ArticleCureus2021

Palliative Care in Heart Failure: Challenging Prognostication.

Inês Egídio de Sousa, Ana Pedroso, Beatriz Chambino, Marta Roldão, Fausto Pinto, Renato Guerreiro, Inês Araújo, Célia Henriques, Candida Fonseca

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

9 authors.

Inês Egídio de SousaInternal Medicine Department, Hospital São Francisco Xavier, Lisbon, PRT.
Ana PedrosoInternal Medicine Department, Hospital São Francisco Xavier, Lisbon, PRT.
Beatriz ChambinoInternal Medicine Department, Hospital São Francisco Xavier, Lisbon, PRT.
Marta RoldãoInternal Medicine Department, Hospital São Francisco Xavier, Lisbon, PRT.
Fausto PintoInternal Medicine Department, Hospital São Francisco Xavier, Lisbon, PRT.
Renato GuerreiroInternal Medicine Department, Hospital São Francisco Xavier, Lisbon, PRT.
Inês AraújoHeart Failure Clinic, Department of Internal Medicine, Hospital São Francisco Xavier, Lisbon, PRT.
Célia HenriquesHeart Failure Clinic, Department of Internal Medicine, Hospital São Francisco Xavier, Lisbon, PRT.
Candida FonsecaHeart Failure Clinic, Department of Internal Medicine, Hospital São Francisco Xavier, Lisbon, PRT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a chronic progressive disease with high morbimortality and poor quality of life (QoL). Palliative care significantly improves clinical outcomes but few patients receive it, in part due to challenging decisions about prognosis. This retrospective study, included all patients consecutively discharged from an Acute Heart Failure Unit over a period of one year, aiming to assess the accuracy of the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score in predicting mortality. Additionally, predictors of death at one and three years were explored using a multivariate regression model. The MAGGIC score was useful in predicting mortality, without significant difference between mortality observed at three-years follow-up compared with a mortality given by the score (p=0.115). Selected variables were statistically compared showing that poor functional status, high New York Heart Association (NYHA) at discharge, psychopharmacs use, and high creatininemia were associated with higher mortality (p<0.05). The multivariate regression model identified three predictors of one-year mortality: psychopharmacs baseline use (OR=4.110; p=0.014), angiotensin-converting enzyme inhibitors/angiotensin receptor blocker (ACEI/ARB) medication at discharge (OR=0.297; p=0.033), and higher admission's creatinine (OR=2.473; p=0.028). For three-year mortality outcome, two variables were strong independent predictors: psychopharmacs (OR=3.330; p=0.022) and medication with ACEI/ARB at discharge (OR=0.285; p=0.018). Models' adjustment was assessed through the receiver operating characteristic (ROC) curve. The best model was the one-year mortality (area under the curve, AUC 81%), corresponding to a good discrimination power. Despite prognostication, when setting goals of care an individualised patient-centred approach is imperative, based on the patient's objectives and needs. Risk factors related to poorer outcomes should be considered, in particular, higher NYHA at discharge which also represents symptom burden. Hospitalisation is an opportunity to optimize global care for heart failure patients including palliative care.

Indexed as

heart failuremaggic scoremortalitypalliative careprognostication

Identifiers

PMID34722076
PMCPMC8548045

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.