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Derivation of an Outcome-Driven Threshold for Aortic Pulse Wave Velocity: An Individual-Participant Meta-Analysis

An De-Wei; Hansen Tine W.; Aparicio Lucas S.; Chori Babangida; Huang Qi-Fang; Wei Fang-Fei; Cheng Yi-Bang; Yu Yu-Ling; Sheng Chang-Sheng; Gilis-Malinowska Natasza; Boggia José; Wojciechowska Wiktoria; Niiranen Teemu J.; Tikhonoff Valérie; Casiglia Edoardo; Narkiewicz Krzysztof; Stolarz-Skrzypek Katarzyna; Kawecka-Jaszcz Kalina; Jula Antti M.; Yang Wen-Yi; Woodiwiss Angela J.; Filipovský Jan; Wang Ji-Guang; Rajzer Marek W.; Verhamme Peter; Nawrot Tim S.; Staessen Jan A.; Li Yan; International Database of Central Arterial Properties for Risk Stratification Investigators

Derivation of an Outcome-Driven Threshold for Aortic Pulse Wave Velocity: An Individual-Participant Meta-Analysis

An De-Wei
Hansen Tine W.
Aparicio Lucas S.
Chori Babangida
Huang Qi-Fang
Wei Fang-Fei
Cheng Yi-Bang
Yu Yu-Ling
Sheng Chang-Sheng
Gilis-Malinowska Natasza
Boggia José
Wojciechowska Wiktoria
Niiranen Teemu J.
Tikhonoff Valérie
Casiglia Edoardo
Narkiewicz Krzysztof
Stolarz-Skrzypek Katarzyna
Kawecka-Jaszcz Kalina
Jula Antti M.
Yang Wen-Yi
Woodiwiss Angela J.
Filipovský Jan
Wang Ji-Guang
Rajzer Marek W.
Verhamme Peter
Nawrot Tim S.
Staessen Jan A.
Li Yan
International Database of Central Arterial Properties for Risk Stratification Investigators
Katso/Avaa
Derivation of an Outcome-Driven Threshold for Aortic Pulse Wave Velocity_ An Individual-Participant Meta-Analysis.pdf (687.3Kb)
Lataukset: 

Lippincott Williams and Wilkins
doi:10.1161/HYPERTENSIONAHA.123.21318
URI
https://oce.ovid.com/article/00004268-202309000-00018/HTML
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2025082787109
Tiivistelmä

BACKGROUND
Aortic pulse wave velocity (PWV) predicts cardiovascular events (CVEs) and total mortality (TM), but previous studies proposing actionable PWV thresholds have limited generalizability. This individual-participant meta-analysis is aimed at defining, testing calibration, and validating an outcome-driven threshold for PWV, using 2 populations studies, respectively, for derivation IDCARS (International Database of Central Arterial Properties for Risk Stratification) and replication MONICA (Monitoring of Trends and Determinants in Cardiovascular Disease Health Survey – Copenhagen).
METHODS
A risk-carrying PWV threshold for CVE and TM was defined by multivariable Cox regression, using stepwise increasing PWV thresholds and by determining the threshold yielding a 5-year risk equivalent with systolic blood pressure of 140 mm Hg. The predictive performance of the PWV threshold was assessed by computing the integrated discrimination improvement and the net reclassification improvement.
RESULTS
In well-calibrated models in IDCARS, the risk-carrying PWV thresholds converged at 9 m/s (10 m/s considering the anatomic pulse wave travel distance). With full adjustments applied, the threshold predicted CVE (hazard ratio [CI]: 1.68 [1.15–2.45]) and TM (1.61 [1.01–2.55]) in IDCARS and in MONICA (1.40 [1.09–1.79] and 1.55 [1.23–1.95]). In IDCARS and MONICA, the predictive accuracy of the threshold for both end points was ≈0.75. Integrated discrimination improvement was significant for TM in IDCARS and for both TM and CVE in MONICA, whereas net reclassification improvement was not for any outcome.
CONCLUSIONS
PWV integrates multiple risk factors into a single variable and might replace a large panel of traditional risk factors. Exceeding the outcome-driven PWV threshold should motivate clinicians to stringent management of risk factors, in particular hypertension, which over a person’s lifetime causes stiffening of the elastic arteries as waypoint to CVE and death.

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