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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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