Evidence map›Paper›PMID 42898819›Full record

ArticleFrontiers in cardiovascular medicine2026

Integration of hereditary thrombophilia data and polygenic risk scores into prognostic models improves differential diagnosis of CTEPH.

Yaroslav Kubkin, Dmitry Nikulin, Galina Okhrimenko, Larisa Minushkina, Elizaveta Dyachkova, Anna Lyzhenkova, Anna Danilova, Elena Dankovtseva, Irina Borovikova, Vladimir Zamyatin and 3 more

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Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yaroslav Kubkin *Centre for Biomedical Research and Technologies, Institute of Artificial Intelligence and Digital Sciences, HSE University, Moscow, Russia.
Dmitry Nikulin *City Clinical Hospital No 29 by N.E. Bauman, Moscow, Russia.
Galina OkhrimenkoCentre for Biomedical Research and Technologies, Institute of Artificial Intelligence and Digital Sciences, HSE University, Moscow, Russia.
Larisa MinushkinaCity Clinical Hospital No 29 by N.E. Bauman, Moscow, Russia.
Elizaveta DyachkovaCity Clinical Hospital No 29 by N.E. Bauman, Moscow, Russia.
Anna LyzhenkovaCity Clinical Hospital No 29 by N.E. Bauman, Moscow, Russia.
Anna DanilovaCity Clinical Hospital No 29 by N.E. Bauman, Moscow, Russia.
Elena DankovtsevaCity Clinical Hospital No 29 by N.E. Bauman, Moscow, Russia.
Irina BorovikovaCentre for Biomedical Research and Technologies, Institute of Artificial Intelligence and Digital Sciences, HSE University, Moscow, Russia.
Vladimir ZamyatinCentre for Biomedical Research and Technologies, Institute of Artificial Intelligence and Digital Sciences, HSE University, Moscow, Russia.
Alexander AveryanovCity Clinical Hospital No 29 by N.E. Bauman, Moscow, Russia.
Maria PoptsovaCentre for Biomedical Research and Technologies, Institute of Artificial Intelligence and Digital Sciences, HSE University, Moscow, Russia.
Dmitry ZateyshchikovCity Clinical Hospital No 29 by N.E. Bauman, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Differential diagnosis between pulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH) is crucial for treatment selection, particularly regarding surgical intervention. The prevalence of hereditary thrombophilias in Russian CTEPH patients and the utility of genetic data in differential diagnosis remain understudied. Objectives: To evaluate the prevalence of inherited thrombophilia among patients with CTEPH and PAH, to benchmark the results against published data from other cohorts, and to assess the potential utility of integrating genetic findings and polygenic risk score (PRS) parameters with clinical data for differentiating CTEPH from PAH. Methods: The study included 390 patients (252 PAH, 138 CTEPH). Whole-genome sequencing was performed to analyze classical thrombophilia genes ( Results: Rare variants in thrombosis-associated genes were significantly more prevalent in patients with CTEPH than in those with PAH (12.3% vs. 1.2%, Conclusions: The genetic profile of CTEPH patients differs significantly from PAH, with a higher frequency of hereditary thrombotic risk factors. Integrating clinical data with polygenic risk scores and thrombophilia variants improves differential diagnosis accuracy and may optimize the clinical workup.

Indexed as

chronic thromboembolic pulmonary hypertensiondeep learninghereditary thrombophiliameta-analysispolygenic risk scoreprognostic systemspulmonary arterial hypertension

Identifiers

PMID42898819
PMCPMC13678304

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