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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDE COURSON DE LA VILLENEUVE, Hugues
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorFERRER, Loic
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBARBIERI, Antoine
dc.contributor.authorTULLY, Phillip J.
dc.contributor.authorWOODWARD, Mark
dc.contributor.authorCHALMERS, John
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTZOURIO, Christophe
IDREF: 69829209
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorLEFFONDRE, Karen
IDREF: 183599128
dc.date.accessioned2022-01-13T09:54:31Z
dc.date.available2022-01-13T09:54:31Z
dc.date.issued2021-11
dc.identifier.issn1524-4563 (Electronic) 0194-911X (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/124372
dc.description.abstractEnLong-term blood pressure variability (BPV), an increasingly recognized vascular risk factor, is challenging to analyze. The objective was to assess the impact of BPV modeling on its estimated effect on the risk of stroke. We used data from a secondary stroke prevention trial, PROGRESS (Perindopril Protection Against Stroke Study), which included 6105 subjects. The median number of blood pressure (BP) measurements was 12 per patient and 727 patients experienced a first stroke recurrence over a mean follow-up of 4.3 years. Hazard ratios (HRs) of BPV were estimated from 6 proportional hazards models using different BPV modeling for comparison purposes. The 3 commonly used methods first derived SD of BP measures observed over a given period of follow-up and then used it as a fixed covariate in a Cox model. The 3 more advanced modeling accounted for changes in BP or BPV over time in a single-stage analysis. While the 3 commonly used methods produced contradictory results (for a 5 mmHg increase in BPV, HR=0.75 [95% CI, 0.68-0.82], HR=0.99 [0.91-1.08], HR=1.19 [1.10-1.30]), the 3 more advanced modeling resulted in a similar moderate positive association (HR=1.08 [95% CI, 0.99-1.17]), whether adjusted for BP at randomization or mean BP over the follow-up. The method used to assess BPV strongly affects its estimated effect on the risk of stroke, and should be chosen with caution. Further methodological developments are needed to account for the dynamics of both BP and BPV over time, to clarify the specific role of BPV.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject.enPerindopril
dc.subject.enBlood pressure
dc.subject.enStroke
dc.subject.enRisk factor
dc.subject.enProportional hazards models
dc.title.enImpact of Model Choice When Studying the Relationship Between Blood Pressure Variability and Risk of Stroke Recurrence
dc.typeArticle de revueen_US
dc.identifier.doi10.1161/hypertensionaha.120.16807en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34601966en_US
bordeaux.journalHypertensionen_US
bordeaux.page1520-1526en_US
bordeaux.volume78en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue5en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.teamHEALTHY_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03524303
hal.version1
hal.date.transferred2022-01-13T09:54:34Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Hypertension&rft.date=2021-11&rft.volume=78&rft.issue=5&rft.spage=1520-1526&rft.epage=1520-1526&rft.eissn=1524-4563%20(Electronic)%200194-911X%20(Linking)&rft.issn=1524-4563%20(Electronic)%200194-911X%20(Linking)&rft.au=DE%20COURSON%20DE%20LA%20VILLENEUVE,%20Hugues&FERRER,%20Loic&BARBIERI,%20Antoine&TULLY,%20Phillip%20J.&WOODWARD,%20Mark&rft.genre=article


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