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Can spirometry improve the performance of cardiovascular risk model in high-risk Eastern European countries?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F23%3A00014392" target="_blank" >RIV/75010330:_____/23:00014392 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/23:00132244

  • Result on the web

    <a href="https://www.frontiersin.org/articles/10.3389/fcvm.2023.1228807/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fcvm.2023.1228807/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fcvm.2023.1228807" target="_blank" >10.3389/fcvm.2023.1228807</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Can spirometry improve the performance of cardiovascular risk model in high-risk Eastern European countries?

  • Original language description

    Aims Impaired lung function has been strongly associated with cardiovascular disease (CVD) events. We aimed to assess the additive prognostic value of spirometry indices to the risk estimation of CVD events in Eastern European populations in this study.MethodsWe randomly selected 14,061 individuals with a mean age of 59 & PLUSMN; 7.3 years without a previous history of cardiovascular and pulmonary diseases from population registers in the Czechia, Poland, and Lithuania. Predictive values of standardised Z-scores of forced expiratory volume measured in 1 s (FEV1), forced vital capacity (FVC), and FEV1 divided by height cubed (FEV1/ht3) were tested. Cox proportional hazards models were used to estimate hazard ratios (HRs) of CVD events of various spirometry indices over the Framingham Risk Score (FRS) model. The model performance was evaluated using Harrell's C-statistics, likelihood ratio tests, and Bayesian information criterion. Results All spirometry indices had a strong linear relation with the incidence of CVD events (HR ranged from 1.10 to 1.12 between indices). The model stratified by FEV1/ht3 tertiles had a stronger link with CVD events than FEV1 and FVC. The risk of CVD event for the lowest vs. highest FEV1/ht3 tertile among people with low FRS was higher (HR: 2.35; 95% confidence interval: 1.96-2.81) than among those with high FRS. The addition of spirometry indices showed a small but statistically significant improvement of the FRS model. Conclusions The addition of spirometry indices might improve the prediction of incident CVD events particularly in the low-risk group. FEV1/ht3 is a more sensitive predictor compared to other spirometry indices.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30304 - Public and environmental health

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Frontiers in Cardiovascular Medicine

  • ISSN

    2297-055X

  • e-ISSN

    2297-055X

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    August

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    1228807

  • UT code for WoS article

    001064756600001

  • EID of the result in the Scopus database

    2-s2.0-85170660789