Evidence map›Paper›PMID 37821911›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2023

Association of pulmonary transit time by cardiac magnetic resonance with heart failure hospitalization in a large prospective cohort with diverse cardiac conditions.

J Jane Cao, Niloofar Fouladi Nashta, Jonathan Weber, Ruqiyya Bano, Michael Passick, Y Joshua Cheng, William Schapiro, Marie Grgas, Kathleen Gliganic

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

J Jane CaoDivision of Cardiac Imaging, St. Francis Hospital & Heart Center, 100 Port Washington Blvd., Roslyn, NY, 11576, USA. Jane.cao@chsli.org.
Niloofar Fouladi NashtaSol Price School of Public Policy and Leonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA.
Jonathan WeberDeMatteis Cardiovascular Institute, St. Francis Hospital & Heart Center, Roslyn, NY, USA.ORCID 0000-0002-6847-8057
Ruqiyya BanoDeMatteis Cardiovascular Institute, St. Francis Hospital & Heart Center, Roslyn, NY, USA.
Michael PassickDivision of Cardiac Imaging, St. Francis Hospital & Heart Center, 100 Port Washington Blvd., Roslyn, NY, 11576, USA.
Y Joshua ChengDivision of Cardiac Imaging, St. Francis Hospital & Heart Center, 100 Port Washington Blvd., Roslyn, NY, 11576, USA.
William SchapiroDivision of Cardiac Imaging, St. Francis Hospital & Heart Center, 100 Port Washington Blvd., Roslyn, NY, 11576, USA.
Marie GrgasDeMatteis Cardiovascular Institute, St. Francis Hospital & Heart Center, Roslyn, NY, USA.
Kathleen GliganicDivision of Cardiac Imaging, St. Francis Hospital & Heart Center, 100 Port Washington Blvd., Roslyn, NY, 11576, USA.
St. Francis Hospital · USSt. Francis Hospital · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLonger pulmonary transit time (PTT) is closely associated with hemodynamic abnormalities. However, the implications on heart failure (HF) risk have not been investigated broadly in patients with diverse cardiac conditions. In this study we examined the long-term risk of HF hospitalization associated with longer PTT in a large prospective cohort with a broad spectrum of cardiac conditions.

methodsAll subjects were prospectively recruited to undergo cardiac magnetic resonance (CMR). The dynamic images of first-pass perfusion were acquired to assess peak-to-peak pulmonary transit time (PTT) which was subsequently normalized to RR interval duration. The risk of HF was examined using Cox proportional hazards models adjusted for baseline confounding risk factors.

resultsAmong 506 consecutively consented patients undergoing clinical cardiac MR with diverse cardiac conditions, the mean age was 63 ± 14 years and 373 (73%) were male. After a mean follow up duration of 4.5 ± 3.0 years, 70 (14%) patients developed hospitalized HF and of these 6 died. A normalized PTT ≥ 8.2 was associated with a significantly increased adjusted HF hazard ratio of 3.69 (95% CI 2.02, 6.73). The HF hazard ratio was 1.26 (95% CI 1.18, 1.33) for each 1 unit increase in PTT which was higher among those preserved (1.70, 95% CI 1.20, 2.41) compared to those with reduced left ventricular ejection fraction (< 50%) (1.18, 95% CI 1.09, 1.27). PTT remained a significant risk factor of hospitalized HF after additional adjustment for N-terminal pro-hormone brain natriuretic peptide (NT-proBNP) or left ventricular global longitudinal strain with additionally demonstrated incremental model improvement through likelihood ratio testing.

conclusionsOur findings support the role of PTT in assessing HF risk among patients with broad spectrum of cardiac conditions with reduced as well as preserved ejection fraction. Longer PTT duration is an incremental risk factor for HF when baseline global longitudinal strain and NT-proBNP are taken into consideration.

Indexed as

Heart FailureVentricular Function, LeftAgedBiomarkersFemaleHospitalizationHumansMagnetic Resonance SpectroscopyMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPredictive Value of TestsPrognosisProspective StudiesStroke VolumeBiomarkersNatriuretic Peptide, BrainPeptide FragmentsCardiac MRIHeart failureLeft ventricular ejection fractionPulmonary transit time

Identifiers

PMID37821911
PMCPMC10568762
OpenAlexW4387516765

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.