The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Validation of N-terminal pro-brain natriuretic peptide cut-off values for risk stratification of pulmonary embolism
Open accessAbstract
The optimal N-terminal pro-brain natriuretic peptide (NT-proBNP) cut-off value for risk stratification of pulmonary embolism remains controversial. In this study we validated and compared different proposed NT-proBNP cut-off values in 688 normotensive patients with pulmonary embolism. During the first 30 days, 28 (4.1%) patients reached the primary outcome (pulmonary embolism-related death or complications) and 29 (4.2%) patients died. Receiver operating characteristic analysis yielded an area under the curve of 0.70 (0.60–0.80) for NT-proBNP. A cut-off value of 600 pg·mL −1 was associated with the best prognostic performance (sensitivity 86% and specificity 50%) and the highest odds ratio (6.04 (95% CI 2.07–17.59), p=0.001) compared to the cut-off values of 1000, 500 or 300 pg·mL −1 . Using multivariable logistic regression analysis, NT-proBNP ≥600 pg·mL −1 had a prognostic impact on top of that of the simplified Pulmonary Embolism Severity Index and right ventricular dysfunction on echocardiography (OR 4.27 (95% CI 1.22–15.01); p=0.024, c-index 0.741). The use of a stepwise approach based on the simplified Pulmonary Embolism Severity Index, NT-proBNP ≥600 pg·mL −1 and echocardiography helped optimise risk assessment. Our findings confirm the prognostic value of NT-proBNP and suggest that a cut-off value of 600 pg·mL −1 is most appropriate for risk stratification of normotensive patients with pulmonary embolism. NT-proBNP should be used in combination with a clinical score and an imaging procedure for detecting right ventricular dysfunction.
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.
Integrity signals
Registry
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.
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
Cites
Edoxaban versus Warfarin for the Treatment of Symptomatic Venous Thromboembolism
The Hokusai-VTE Investigators (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1306638 · Cited by 1,869
Cited by
Konstantinides, S. V., Meyer, G., Becattini, C., Bueno, H., Geersing, G.-J., Harjola, V.-P., Huisman, M. V., Humbert, M., Jennings, C. S., Jiménez, D., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz405 · Cited by 4,916
Self-citationAntithrombotic Therapy for VTE Disease
Kearon, C., Akl, E. A., Ornelas, J., Blaivas, A., Jimenez, D., Bounameaux, H., Huisman, M., King, C. S., Morris, T. A., Sood, N., et al. (2016) · Chest · doi:10.1016/j.chest.2015.11.026 · Cited by 4,830
2014 ESC Guidelines on the diagnosis and management of acute pulmonary embolism
Authors/Task Force Members, Konstantinides, S. V., Torbicki, A., Agnelli, G., Danchin, N., Fitzmaurice, D., Galiè, N., Gibbs, J. S. R., Huisman, M. V., Humbert, M., et al. (2014) · European Heart Journal · doi:10.1093/eurheartj/ehu283 · Cited by 3,128
Self-citationKonstantinides, S. V., Meyer, G., Becattini, C., Bueno, H., Geersing, G.-J., Harjola, V.-P., Huisman, M. V., Humbert, M., Jennings, C. S., Jiménez, D., et al. (2019) · European Respiratory Journal · doi:10.1183/13993003.01647-2019 · Cited by 1,619
Self-citationAntithrombotic Therapy for VTE Disease
Stevens, S. M., Woller, S. C., Kreuziger, L. B., Bounameaux, H., Doerschug, K., Geersing, G.-J., Huisman, M. V., Kearon, C., King, C. S., Knighton, A. J., et al. (2021) · Chest · doi:10.1016/j.chest.2021.07.055 · Cited by 1,043
Metadata
- Authors
- Lankeit, M., Jiménez, D., Kostrubiec, M., Dellas, C., Kuhnert, K., Hasenfuß, G., Pruszczyk, P., & Konstantinides, S.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2014-03-13
- Volume
- 43
- Issue
- 6
- Pages
- 1669-1677
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2131565632
- Cited by
- 170
- References
- 1
- FWCI
- 13.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Validation of N-terminal pro-brain natriuretic peptide cut-off values for risk stratification of pulmonary embolism. https://app.cochat.ai/papers/10.1183/09031936.00211613
- The paper
- Lankeit, M., Jiménez, D., Kostrubiec, M., Dellas, C., Kuhnert, K., Hasenfuß, G., Pruszczyk, P., & Konstantinides, S. (2014). Validation of N-terminal pro-brain natriuretic peptide cut-off values for risk stratification of pulmonary embolism. European Respiratory Journal. https://doi.org/10.1183/09031936.00211613
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.