Evidence map›Paper›PMID 38663975›Full record

ArticleThe European respiratory journal2024

Risk stratification refinements with inclusion of haemodynamic variables at follow-up in patients with pulmonary arterial hypertension.

Athénaïs Boucly, Antoine Beurnier, Ségolène Turquier, Mitja Jevnikar, Pascal de Groote, Ari Chaouat, Céline Cheron, Xavier Jaïs, François Picard, Grégoire Prévot and 9 more

Open access · greenAbstract read
In one paragraph

Article in The European respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
13.8field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Update on pulmonary hypertension.Respiratory research · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Pulmonary arterial hypertension treatment. A new era.International journal of cardiology. Congenital heart disease · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Treatment algorithm for pulmonary arterial hypertension.The European respiratory journal · 2024
    Review
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 4 institutions in 2 countries.

Athénaïs BouclyUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.ORCID https://orcid.org/0000-0001-6246-5557
Antoine BeurnierUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.ORCID https://orcid.org/0000-0002-0481-3266
Ségolène TurquierCHU de Lyon HCL, Service de Pneumologie, Centre de Référence des Maladies Pulmonaires Rares, Groupement Hospitalier Est, Hôpital Louis Pradel, Bron, France.ORCID https://orcid.org/0000-0001-5894-4491
Mitja JevnikarUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.ORCID https://orcid.org/0000-0003-0727-6790
Pascal de GrooteUniversité de Lille, Service de Cardiologie, CHU Lille, Institut Pasteur de Lille, Inserm U1167, Lille, France.ORCID https://orcid.org/0000-0002-6211-0147
Ari ChaouatINSERM UMR_S1116, Faculté de Médecine de Nancy, Université de Lorraine, Département de Pneumologie, CHRU de Nancy, Vandœuvre-lès-Nancy, France.ORCID https://orcid.org/0000-0001-6056-202X
Céline CheronUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.
Xavier JaïsUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.ORCID https://orcid.org/0000-0002-4104-7994
François PicardUniversité Bordeaux, Hôpital Cardiologique du Haut-Lévêque, Heart Failure Unit and Pulmonary Hypertension Expert Centre, Bordeaux, France.
Grégoire PrévotCHU de Toulouse, Hôpital Larrey, Service de Pneumologie, Toulouse, France.
Anne RocheUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.
Sabina SolinasUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.
Vincent CottinCHU de Lyon HCL, Service de Pneumologie, Centre de Référence des Maladies Pulmonaires Rares, Groupement Hospitalier Est, Hôpital Louis Pradel, Bron, France.ORCID https://orcid.org/0000-0002-5591-0955
Fabrice BauerINSERM U1096, Normandie Université, UNIROUEN, Department of Cardiac Surgery, CHU de Rouen, Rouen France.
David MontaniUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.ORCID https://orcid.org/0000-0002-9358-6922
Marc HumbertUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.ORCID https://orcid.org/0000-0003-0703-2892
Laurent SavaleUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France.ORCID https://orcid.org/0000-0002-6862-8975
Olivier SitbonUniversité Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France olivier.sitbon@u-psud.fr.ORCID https://orcid.org/0000-0002-1942-1951
PulmoTension Network
Inserm · FRHospices Civils de Lyon · FRCentre Hospitalier Universitaire de Toulouse · FRHôpital Cardiologique du Haut-Lévêque · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHaemodynamic variables are prognostic factors in pulmonary arterial hypertension (PAH). However, right heart catheterisation (RHC) is not systematically recommended to assess the risk status during follow-up. This study aimed to assess the added value of haemodynamic variables in prevalent patients to predict the risk of death or lung transplantation according to their risk status assessed by the non-invasive four-strata model as recommended by the European guidelines.

methodsWe evaluated incident patients with PAH enrolled in the French pulmonary hypertension registry between 2009 and 2020 who had a first follow-up RHC. Cox regression identified, in each follow-up risk status, haemodynamic variables significantly associated with transplant-free survival. Optimal thresholds were determined by time-dependent receiver operating characteristics. Several multivariable Cox regression models were performed to identify the haemodynamic variables improving the non-invasive risk stratification model.

resultsWe analysed 1240 incident patients reassessed within 1 year by RHC. None of the haemodynamic variables were significantly associated with transplant-free survival among low-risk (n=386) or high-risk (n=71) patients. Among patients at intermediate (intermediate-low, n=483 and intermediate-high, n=300) risk at first follow-up, multivariable models including either stroke volume index (SVI) or mixed venous oxygen saturation (

conclusionCardiopulmonary haemodynamics may improve risk stratification at follow-up in patients at intermediate risk.

Indexed as

Cardiac CatheterizationHemodynamicsPulmonary Arterial HypertensionAdultAgedFemaleFollow-Up StudiesFranceHumansLung TransplantationMaleMiddle AgedPrognosisProportional Hazards ModelsRegistriesRisk Assessment

Identifiers

PMID38663975
PMCPMC11375514
OpenAlexW4395467020

What OpenQuestion holds

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LicenceCC BY-NC
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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.