Evidence map›Paper›PMID 34165259›Full record

ArticleESC heart failure2021

Does pulmonary artery pulsatility index predict mortality in pulmonary arterial hypertension?

Yinghao Lim, Ting-Ting Low, Siew Pang Chan, Weiqin Lin, Ting Wei Teo, Jin-Hao Justin Jang, Ivandito Kuntjoro, Edgar Lik-Wui Tay, James Wei-Luen Yip

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  7. Review
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  9. Hemodynamic indices in pulmonary hypertension: a narrative review.Cardiovascular diagnosis and therapy · 2022
    Review
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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 2 institutions in 1 country.

Yinghao LimDepartment of Cardiology, National University Heart Centre, Singapore, National University Health System, NUHS Tower Block, Level 9, 1E Kent Ridge Road, 119228, Singapore.ORCID 0000-0002-8211-4161
Ting-Ting LowDepartment of Cardiology, National University Heart Centre, Singapore, National University Health System, NUHS Tower Block, Level 9, 1E Kent Ridge Road, 119228, Singapore.ORCID 0000-0001-5359-9860
Siew Pang ChanYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Weiqin LinDepartment of Cardiology, National University Heart Centre, Singapore, National University Health System, NUHS Tower Block, Level 9, 1E Kent Ridge Road, 119228, Singapore.
Ting Wei TeoDepartment of Cardiology, National University Heart Centre, Singapore, National University Health System, NUHS Tower Block, Level 9, 1E Kent Ridge Road, 119228, Singapore.
Jin-Hao Justin JangDepartment of Cardiology, National University Heart Centre, Singapore, National University Health System, NUHS Tower Block, Level 9, 1E Kent Ridge Road, 119228, Singapore.
Ivandito KuntjoroDepartment of Cardiology, National University Heart Centre, Singapore, National University Health System, NUHS Tower Block, Level 9, 1E Kent Ridge Road, 119228, Singapore.
Edgar Lik-Wui TayDepartment of Cardiology, National University Heart Centre, Singapore, National University Health System, NUHS Tower Block, Level 9, 1E Kent Ridge Road, 119228, Singapore.
James Wei-Luen YipDepartment of Cardiology, National University Heart Centre, Singapore, National University Health System, NUHS Tower Block, Level 9, 1E Kent Ridge Road, 119228, Singapore.
National University Heart Centre Singapore · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPulmonary artery pulsatility index (PAPi), defined as [(pulmonary artery systolic pressure - diastolic pulmonary artery pressure)/mean right atrial pressure], is a novel haemodynamic index that predicts right ventricular failure after myocardial infarction and left ventricular assist device implantation. We analysed if a low PAPi is associated with death in our 14 - ​year pulmonary arterial hypertension (PAH) registry.

methodsConsecutive patients with newly diagnosed PAH and complete haemodynamic data were prospectively enrolled into our standing registry between January 2003 and December 2016. PAPi was calculated from baseline invasive right heart catheterization data. A prognostic cut-off value was determined with a decision tree. Baseline characteristics of 'high' and 'low' PAPi groups based on this cut-off were compared, as well as odds of death and time-to-death.

resultsOne hundred and two patients were included. Mean age was 53 years, and 77% were women. Our multi-ethnic cohort was 64% Chinese, 23% Malay, and 10% Indian. The aetiologies were idiopathic (33%), connective tissue disease (31%), congenital heart disease (24%), and others (12%). The low PAPi group (<5.3) had a greater age (56 years vs. 49 years), lower pulmonary artery systolic pressure (71 mmHg vs. 85 mmHg), and higher mean right atrial pressure (14 mmHg vs. 6 mmHg). Mortality risk was higher in the low PAPi group (adjusted odds ratio: 2.98 and adjusted hazard ratio: 2.23). Mean right atrial pressure was the strongest predictor (hazard ratio 1.114, P = 0.009) when components of PAPi were analysed.

conclusionsPulmonary artery pulsatility index was found to be predictive of mortality in PAH and may be a valuable marker for risk stratification. Its prognostic strength may be driven by mean right atrial pressure.

Indexed as

Heart-Assist DevicesHeart FailurePulmonary Arterial HypertensionFemaleHemodynamicsHumansMiddle AgedPulmonary ArteryPAPIPulmonary hypertensionRegistriesRisk factorsSurvival

Identifiers

PMID34165259
PMCPMC8497387
OpenAlexW3175050331

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.