Evidence map›Paper›PMID 31751788›Full record

ArticleJournal of cardiac failure2020

Risk Prediction in Transition: MAGGIC Score Performance at Discharge and Incremental Utility of Natriuretic Peptides.

Alexander Michaels, Lindsey Aurora, Edward Peterson, Bin Liu, Yigal M Pinto, Hani N Sabbah, Keoki Williams, David E Lanfear

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of cardiac failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 17% 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.

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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

8 authors at 2 institutions in 2 countries.

Alexander MichaelsHeart and Vascular Institute, Henry Ford Hospital, Detroit, Michigan; Department of Internal Medicine, Henry Ford Hospital, Detroit, Michigan.
Lindsey AuroraHeart and Vascular Institute, Henry Ford Hospital, Detroit, Michigan; Department of Internal Medicine, Henry Ford Hospital, Detroit, Michigan.
Edward PetersonDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan.
Bin LiuDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan.
Yigal M PintoDepartment of Cardiology, University of Amsterdam, Amsterdam, The Netherlands.
Hani N SabbahHeart and Vascular Institute, Henry Ford Hospital, Detroit, Michigan; Department of Internal Medicine, Henry Ford Hospital, Detroit, Michigan.
Keoki WilliamsDepartment of Internal Medicine, Henry Ford Hospital, Detroit, Michigan; Center for Individualized and Genomic Medicine Research, Henry Ford Hospital, Detroit, Michigan.
David E LanfearHeart and Vascular Institute, Henry Ford Hospital, Detroit, Michigan; Department of Internal Medicine, Henry Ford Hospital, Detroit, Michigan; Center for Individualized and Genomic Medicine Research, Henry Ford Hospital, Detroit, Michigan. Electronic address: dlanfea1@hfhs.org.
Henry Ford Hospital · USUniversity of Amsterdam · NL

Funding

Substrate Selection and Oxidative Stress in Heart FailureP01HL074237 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI RECCHIA, FABIO A · 2003 to 2013
$19.9M
PHARMACOGENOMICS OF INHALED CORTICOSTEROID RESPONSIVENESS IN PATIENTS WITH ASTHMAR01AI079139 · NIAID · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2009 to 2013
$3.9M
Impact of Race and Genetic Factors on Beta-blocker Effectiveness in Heart FailureR01HL103871 · NHLBI · HENRY FORD HEALTH SYSTEM · PI LANFEAR, DAVID E · 2011 to 2015
$3.5M
Plasma Metabolomics and Myocardial Energetics in Heart FailureR01HL132154 · NHLBI · HENRY FORD HEALTH SYSTEM · PI LANFEAR, DAVID E, SABBAH, HANI N · 2017 to 2020
$3.1M
Combined Transcriptomics and Genomics to Find Asthma Genes in Admixed PopulationsR01HL118267 · NHLBI · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2014 to 2017
$2.9M
VALIDATION OF ADHERENCE DATA--USE IN CLINICAL PRACTICER01DK064695 · NIDDK · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2003 to 2010
$2.7M
NHLBI NIH HHS P01 HL074237NHLBI NIH HHS R01 HL103871NHLBI NIH HHS R01 HL118267NHLBI NIH HHS R01 HL132154NIAID NIH HHS R01 AI079139NIDDK NIH HHS R01 DK064695
6 · The paper itself

Abstract

backgroundRisk stratification for hospitalized patients with heart failure (HF) remains a critical need. The Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score is a robust model derived from patients with ambulatory HF. Its validity at the time of discharge and the incremental value of natriuretic peptides (NPs) in this setting is unclear.

methodsThis was a single-center study examining a total of 4138 patients with HF from 2 groups; hospital discharge patients from administrative data (n = 2503, 60.5%) and a prospective registry of patients with ambulatory HF (n = 1635, 39.5%). The ambulatory registry patients underwent N-terminal pro-B-type NP (BNP) measurement at enrollment, and in the hospitalize discharge cohort clinical BNP levels were abstracted. The primary endpoint was all-cause mortality within 1 year. MAGGIC score performance was compared between cohorts utilizing Cox regression and calibration plots. The incremental value of NPs was assessed using calculated area under the curve and net reclassification improvement (NRI).

resultsThe hospitalized and ambulatory cohorts differed with respect to primary outcome (777 and 100 deaths, respectively), sex (52.1% vs 41.7% female) and race (35% vs 49.5% African American). The MAGGIC score showed poor discrimination of mortality risk in the hospital discharge (C statistic: 0.668, hazard ratio [HR]: 1.1 per point, 95% confidence interval [CI]: 0.652, 0.684) but fair discrimination in the ambulatory cohorts (C statistic: 0.784, HR: 1.16 per point, 95% CI: 0.74, 0.83), respectively, a difference that was statistically significant (P = .001 for C statistic, 0.002 for HR). Calibration assessment indicated that the slope and intercept (of MAGGIC-predicted to observed mortality) did not statistically differ from ideal in either cohort and did not differ between the cohorts (all P > .1). NP levels did not significantly improve prediction in the hospitalized cohort (P = .127) but did in the ambulatory cohort (C statistic: 0.784 [95% CI: 0.74, 0.83] vs 0.82 [95% CI: 0.78, 0.85]; P = .018) with a favorable NRI of 0.354 (95% CI: 0.202-0.469; P = .002).

conclusionThe MAGGIC score showed poor discrimination when used in patients with HF at hospital discharge, which was inferior to its performance in patients with ambulatory HF. Discrimination within the hospital discharge group was not improved by including hospital NP levels.

Indexed as

RegistriesAgedAged, 80 and overAmbulatory CareBiomarkersCohort StudiesFemaleHeart FailureHumansMaleMiddle AgedNatriuretic PeptidesPatient DischargePredictive Value of TestsProspective StudiesRisk FactorsBiomarkersNatriuretic PeptidesHeart failuremortalityrisk prediction

Identifiers

PMID31751788
PMCPMC10062381
OpenAlexW2987993641

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.