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

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

Přehled o publikaci

J 2023

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

SARYCHEVA, Tatyana Vladimirovna, Naděžda ČAPKOVÁ, Andrzej PAJAK, Abdonas TAMOSIUNAS, Martin BOBÁK et. al.

Basic information

Original name

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

Authors

SARYCHEVA, Tatyana Vladimirovna, Naděžda ČAPKOVÁ, Andrzej PAJAK, Abdonas TAMOSIUNAS, Martin BOBÁK and Hynek PIKHART

Edition

Frontiers in Cardiovascular Medicine, Lausanne, Frontiers, 2023, 2297-055X

Other information

Language

English

Type of outcome

Article in a journal

Country of publisher

Switzerland

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Organization

Přírodovědecká fakulta – Repository – Repository

DOI

http://dx.doi.org/10.3389/fcvm.2023.1228807

UT WoS

001064756600001

EID Scopus

2-s2.0-85170660789

Keywords in English

pulmonary function test; cardiovascular disease; mortality; risk prediction model; cohort studies

Links

EF17_043/0009632, research and development project. LX22NPO5104, research and development project. 857487, interní kód Repo. 857560, interní kód Repo. RECETOX RI II, large research infrastructures.

Changed: 10/3/2024 03:40, RNDr. Daniel Jakubík

Abstract

V originále

amp; 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.ResultsAll 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.ConclusionsThe 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.

Files attached

https://is.muni.cz/publication/2339399/2339399.pdf

Cite

SARYCHEVA, Tatyana Vladimirovna, Naděžda ČAPKOVÁ, Andrzej PAJAK, Abdonas TAMOSIUNAS, Martin BOBÁK and Hynek PIKHART. Can spirometry improve the performance of cardiovascular risk model in high-risk Eastern European countries? Frontiers in Cardiovascular Medicine. Lausanne: Frontiers, 2023, vol. 10, August 2023, p. 1-10. ISSN 2297-055X. Available from: https://dx.doi.org/10.3389/fcvm.2023.1228807.

@article{58293,
   author = {Sarycheva, Tatyana Vladimirovna and Čapková, Naděžda and Pajak, Andrzej and Tamosiunas, Abdonas and Bobák, Martin and Pikhart, Hynek},
   article_location = {Lausanne},
   article_number = {August 2023},
   doi = {http://dx.doi.org/10.3389/fcvm.2023.1228807},
   keywords = {pulmonary function test; cardiovascular disease; mortality; risk prediction model; cohort studies},
   language = {eng},
   issn = {2297-055X},
   journal = {Frontiers in Cardiovascular Medicine},
   title = {Can spirometry improve the performance of cardiovascular risk model in high-risk Eastern European countries?},
   url = {https://www.frontiersin.org/articles/10.3389/fcvm.2023.1228807/full},
   volume = {10},
   year = {2023}
}

TY  - JOUR
ID  - 58293
AU  - Sarycheva, Tatyana Vladimirovna - Čapková, Naděžda - Pajak, Andrzej - Tamosiunas, Abdonas - Bobák, Martin - Pikhart, Hynek
PY  - 2023
TI  - Can spirometry improve the performance of cardiovascular risk model in high-risk Eastern European countries?
JF  - Frontiers in Cardiovascular Medicine
VL  - 10
IS  - August 2023
SP  - 1-10
EP  - 1-10
PB  - Frontiers
SN  - 2297-055X
KW  - pulmonary function test
KW  - cardiovascular disease
KW  - mortality
KW  - risk prediction model
KW  - cohort studies
UR  - https://www.frontiersin.org/articles/10.3389/fcvm.2023.1228807/full
N2  - amp; 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.ResultsAll 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.ConclusionsThe 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.
ER  -

SARYCHEVA, Tatyana Vladimirovna, Naděžda ČAPKOVÁ, Andrzej PAJAK, Abdonas TAMOSIUNAS, Martin BOBÁK and Hynek PIKHART. Can spirometry improve the performance of cardiovascular risk model in high-risk Eastern European countries? \textit{Frontiers in Cardiovascular Medicine}. Lausanne: Frontiers, 2023, vol.~10, August 2023, p.~1-10. ISSN~2297-055X. Available from: https://dx.doi.org/10.3389/fcvm.2023.1228807.