000167755 001__ 167755
000167755 005__ 20240229133547.0
000167755 0247_ $$2doi$$a10.1161/HYPERTENSIONAHA.120.16354
000167755 0247_ $$2pmid$$apmid:33641358
000167755 0247_ $$2ISSN$$a0194-911X
000167755 0247_ $$2ISSN$$a0362-4323
000167755 0247_ $$2ISSN$$a1524-4563
000167755 0247_ $$2altmetric$$aaltmetric:101230590
000167755 037__ $$aDKFZ-2021-00519
000167755 041__ $$aEnglish
000167755 082__ $$a610
000167755 1001_ $$aVishram-Nielsen, Julie K K$$b0
000167755 245__ $$aPredictive Importance of Blood Pressure Characteristics With Increasing Age in Healthy Men and Women: The MORGAM Project.
000167755 260__ $$aBaltimore, Md.$$bWilliams & Wilkins$$c2021
000167755 3367_ $$2DRIVER$$aarticle
000167755 3367_ $$2DataCite$$aOutput Types/Journal article
000167755 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1637230529_29975
000167755 3367_ $$2BibTeX$$aARTICLE
000167755 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000167755 3367_ $$00$$2EndNote$$aJournal Article
000167755 500__ $$a2021 Apr;77(4):1076-1085
000167755 520__ $$aIt remains unclear which blood pressure (BP) characteristics best predict cardiovascular risk in different age groups and between sexes. We leveraged data from the MORGAM (MONICA [Monitoring of Trends and Determinants in Cardiovascular Disease], Risk, Genetics, Archiving and Monograph) Project to investigate determinants of BP characteristics and their prognostic importance, in younger and older (</≥50 years) men and women. The study population comprised 107 599 individuals (53% men) aged 19 to 97 years without established cardiovascular disease, not on antihypertensive treatment, recruited between 1982 and 2008 in 38 cohorts. Covariates of BP characteristics were explored using multivariable linear regression. Prognostic importance was examined using multivariable Cox proportional-hazards regression, area under the receiver operating characteristic curve, and net reclassification improvement. The primary end point was a composite cardiovascular end point (CEP), defined as fatal or nonfatal stroke, death from coronary heart disease or nonfatal myocardial infarction. The positive association between age and systolic BP was more pronounced among individuals ≥50 years while the same was true for diastolic BP in those <50 years (P interaction <0.001). Higher systolic BP and mean BP were significantly associated with cardiovascular end point, irrespective of age group (P<0.001), but diastolic BP only demonstrated an independent relationship in the younger group (P<0.001). Brachial pulse pressure was associated with cardiovascular end point in the older age group (P<0.001). In subjects <50 years, diastolic BP significantly improved area under the receiver operating characteristic curve compared with Systematic Coronary Risk Evaluation variables (including systolic BP) alone (0.842 versus 0.840, P=0.03), enhanced continuous net reclassification improvement (0.150 [95% CI, 0.087-0.215]) and improved the prognostic value of the European Society of Cardiology/European Society of Hypertension hypertension definition (categorical net reclassification improvement=0.0255, P=0.005). In conclusion, diastolic BP may provide additional prognostic utility beyond systolic BP, in predicting composite cardiovascular events among younger individuals.
000167755 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000167755 588__ $$aDataset connected to CrossRef, PubMed,
000167755 650_7 $$2Other$$ablood pressure
000167755 650_7 $$2Other$$acardiovascular disease
000167755 650_7 $$2Other$$amyocardial infarction
000167755 650_7 $$2Other$$aprognosis
000167755 650_7 $$2Other$$arisk factor
000167755 7001_ $$aKristensen, Anna M Dyrvig$$b1
000167755 7001_ $$aPareek, Manan$$b2
000167755 7001_ $$aLaurent, Stephane$$b3
000167755 7001_ $$aNilsson, Peter M$$b4
000167755 7001_ $$aLinneberg, Allan$$b5
000167755 7001_ $$aGreve, Sara V$$b6
000167755 7001_ $$aPalmieri, Luigi$$b7
000167755 7001_ $$aGiampaoli, Simona$$b8
000167755 7001_ $$aDonfrancesco, Chiara$$b9
000167755 7001_ $$aKee, Frank$$b10
000167755 7001_ $$aMancia, Giuseppe$$b11
000167755 7001_ $$aCesana, Giancarlo$$b12
000167755 7001_ $$aVeronesi, Giovanni$$b13
000167755 7001_ $$aGrassi, Guido$$b14
000167755 7001_ $$aKuulasmaa, Kari$$b15
000167755 7001_ $$aSalomaa, Veikko$$b16
000167755 7001_ $$aPalosaari, Tarja$$b17
000167755 7001_ $$aSans, Susana$$b18
000167755 7001_ $$aFerrieres, Jean$$b19
000167755 7001_ $$aDallongeville, Jean$$b20
000167755 7001_ $$aSöderberg, Stefan$$b21
000167755 7001_ $$aMoitry, Marie$$b22
000167755 7001_ $$aDrygas, Wojciech$$b23
000167755 7001_ $$aTamosiunas, Abdonas$$b24
000167755 7001_ $$aPeters, Annette$$b25
000167755 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b26$$udkfz
000167755 7001_ $$aGrimsgaard, Sameline$$b27
000167755 7001_ $$aSavallampi, Matti$$b28
000167755 7001_ $$aOlsen, Michael H$$b29
000167755 7001_ $$aProject†, MORGAM$$b30$$eCollaboration Author
000167755 773__ $$0PERI:(DE-600)2094210-2$$a10.1161/HYPERTENSIONAHA.120.16354$$n4$$p1076-1085$$tHypertension$$v77$$x1524-4563$$y2021
000167755 909CO $$ooai:inrepo02.dkfz.de:167755$$pVDB
000167755 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b26$$kDKFZ
000167755 9131_ $$0G:(DE-HGF)POF4-313$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vKrebsrisikofaktoren und Prävention$$x0
000167755 9130_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0
000167755 9141_ $$y2021
000167755 915__ $$0StatID:(DE-HGF)0410$$2StatID$$aAllianz-Lizenz$$d2021-01-30$$wger
000167755 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2021-01-30$$wger
000167755 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bHYPERTENSION : 2019$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-01-30
000167755 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bHYPERTENSION : 2019$$d2021-01-30
000167755 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000167755 980__ $$ajournal
000167755 980__ $$aVDB
000167755 980__ $$aI:(DE-He78)C070-20160331
000167755 980__ $$aUNRESTRICTED