Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 311

The DOI matches its Crossref record.

The transpulmonary pressure gradient for the diagnosis of pulmonary vascular disease

Naeije, Robert, Vachiery, Jean-Luc, Yerly, Patrick, Vanderpool, Rebecca·2013·European Respiratory Journal

Abstract

The transpulmonary pressure gradient (TPG), defined by the difference between mean pulmonary arterial pressure ( P pa ) and left atrial pressure ( P la ; commonly estimated by pulmonary capillary wedge pressure: P pcw ) has been recommended for the detection of intrinsic pulmonary vascular disease in left-heart conditions associated with increased pulmonary venous pressure. In these patients, a TPG of >12 mmHg would result in a diagnosis of “out of proportion” pulmonary hypertension. This value is arbitrary, because the gradient is sensitive to changes in cardiac output and both recruitment and distension of the pulmonary vessels, which decrease the upstream transmission of P la . Furthermore, pulmonary blood flow is pulsatile, with systolic P pa and mean P pa determined by stroke volume and arterial compliance. It may, therefore, be preferable to rely on a gradient between diastolic P pa and P pcw . The measurement of a diastolic P pa / P pcw gradient (DPG) combined with systemic blood pressure and cardiac output allows for a step-by-step differential diagnosis between pulmonary vascular disease, high output or high left-heart filling pressure state, and sepsis. The DPG is superior to the TPG for the diagnosis of “out of proportion” pulmonary hypertension.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1183/09031936.00074312

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 311

Metadata

Authors
Naeije, R., Vachiery, J.-L., Yerly, P., & Vanderpool, R.
Venue
European Respiratory Journal
Published
2012-08-30
Volume
41
Issue
1
Pages
217-223
ISSN
  • 0903-1936 (ISSN-L)
  • 1399-3003
OpenAlex
W2152940522
Cited by
311
References
0
FWCI
18.97
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The transpulmonary pressure gradient for the diagnosis of pulmonary vascular disease. https://app.cochat.ai/papers/10.1183/09031936.00074312
The paper
Naeije, R., Vachiery, J.-L., Yerly, P., & Vanderpool, R. (2013). The transpulmonary pressure gradient for the diagnosis of pulmonary vascular disease. European Respiratory Journal. https://doi.org/10.1183/09031936.00074312

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.