PubHawk
J Am Heart Assoc October 2018 PMID 30371285

Meta-Analysis Global Group in Chronic (MAGGIC) Heart Failure Risk Score: Validation of a Simple Tool for the Prediction of Morbidity and Mortality in Heart Failure With Preserved Ejection Fraction.

Jonathan D Rich, Jacob Burns, Benjamin H Freed, Mathew S Maurer, Daniel Burkhoff, Sanjiv J Shah

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Mentions

7
Peak: 2 in Aug 2020
across 3 sources since Aug 2020

Extended reach

22,089
potential audience

Total likes

178

Video views

12,072

Mentions per month

Aug 2020 – May 2022

Where it's discussed

  • X / Twitter3 posts
  • YouTube2 videos
  • Facebook2 posts

AI synopsis

What people are saying

The discussions highlight interest in the MAGGIC risk model by mentioning its potential use in predicting outcomes in heart failure, with comments like questioning its widespread use in the UK. The tone is analytical and directed towards understanding the model's practical application, indicating moderate engagement and perceived impact on clinical decision-making.

AgreementModerate agreement

Most discussions acknowledge the usefulness of the MAGGIC model and its comparison to other risk scores, indicating general agreement on its relevance.

InterestModerate interest

Participants show moderate interest by asking about the practical application and adoption of these models, reflecting curiosity.

EngagementModerate engagement

Comments refer to specific models like MAGGIC and Seattle HF models, demonstrating some detailed engagement with the research findings.

ImpactModerate impact

The conversations suggest these models could influence clinical practices, especially in the UK, but the impact remains somewhat exploratory at this stage.

Abstract in brief

  • The study evaluated the effectiveness of the MAGGIC mortality risk score in predicting outcomes for patients with heart failure (HF) and preserved ejection fraction (EF), using a cohort of 407 patients over an average follow-up of 3.6 years.
  • Results showed that the MAGGIC score was significantly associated with higher mortality and hospitalization rates, indicating it is a strong tool for risk stratification in this patient group.
  • The MAGGIC score's predictive ability was found to be similar to the more complex Seattle Heart Failure Model, but it provided better calibration for hospitalization outcomes, and adding B-type natriuretic peptide improved predictions further.
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Top posts

Most liked on X and Bluesky
Sarah Hudson
@sarahhudsonuk · X

Talk on worsening HF at #ESCCongress by @eleanorwicks has introduced me to the Seattle (https://t.co/OvpMlOj6J6) and MAGGIC ( https://t.co/e1oJdRILXU) HF models to predict risk which look useful Are these widely used in the UK? @drstephenpettit @PSJhund @AAIMohammad87 @doc_ccc https://t.co/3fiRGaFQRd

Aug 30, 2020 · 8 likes · 2 shares · 8,076 followers View post →
Colin C
@doc_ccc · X

RT @sarahhudsonuk: Talk on worsening HF at #ESCCongress by @eleanorwicks has introduced me to the Seattle (https://t.co/OvpMlOj6J6) and MAG…

Aug 30, 2020 · 2 shares · 1,739 followers View post →

All mentions

OlgaDunaeva
@DunyaOlga · X

RT @sarahhudsonuk: Talk on worsening HF at #ESCCongress by @eleanorwicks has introduced me to the Seattle (https://t.co/OvpMlOj6J6) and MAG…

Oct 8, 2020 · 2 shares · 191 followers View post →
Colin C
@doc_ccc · X

RT @sarahhudsonuk: Talk on worsening HF at #ESCCongress by @eleanorwicks has introduced me to the Seattle (https://t.co/OvpMlOj6J6) and MAG…

Aug 30, 2020 · 2 shares · 1,739 followers View post →
Sarah Hudson
@sarahhudsonuk · X

Talk on worsening HF at #ESCCongress by @eleanorwicks has introduced me to the Seattle (https://t.co/OvpMlOj6J6) and MAGGIC ( https://t.co/e1oJdRILXU) HF models to predict risk which look useful Are these widely used in the UK? @drstephenpettit @PSJhund @AAIMohammad87 @doc_ccc https://t.co/3fiRGaFQRd

Aug 30, 2020 · 8 likes · 2 shares · 8,076 followers View post →