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Sökning: WFRF:(Kronmal Richard A.) > Bakker Stephan J. L. > Use of Repeated Blo...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005763naa a2201009 4500
001oai:DiVA.org:umu-142912
003SwePub
008171213s2017 | |||||||||||000 ||eng|
009oai:DiVA.org:uu-344000
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1429122 URI
0247 a https://doi.org/10.1093/aje/kwx1492 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3440002 URI
040 a (SwePub)umud (SwePub)uu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a for2 swepub-publicationtype
1001 a Paige, Ellie4 aut
2451 0a Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction :b An Individual-Participant-Data Meta-Analysis
264 c 2017-06-13
264 1b Oxford University Press,c 2017
338 a electronic2 rdacarrier
520 a The added value of incorporating information from repeated blood pressure and cholesterol measurements to predict cardiovascular disease (CVD) risk has not been rigorously assessed. We used data on 191,445 adults from the Emerging Risk Factors Collaboration (38 cohorts from 17 countries with data encompassing 1962-2014) with more than 1 million measurements of systolic blood pressure, total cholesterol, and high-density lipoprotein cholesterol. Over a median 12 years of follow-up, 21,170 CVD events occurred. Risk prediction models using cumulative mean values of repeated measurements and summary measures from longitudinal modeling of the repeated measurements were compared with models using measurements from a single time point. Risk discrimination (C-index) and net reclassification were calculated, and changes in C-indices were meta-analyzed across studies. Compared with the single-time-point model, the cumulative means and longitudinal models increased the C-index by 0.0040 (95% confidence interval (CI): 0.0023, 0.0057) and 0.0023 (95% CI: 0.0005, 0.0042), respectively. Reclassification was also improved in both models; compared with the single-time-point model, overall net reclassification improvements were 0.0369 (95% CI: 0.0303, 0.0436) for the cumulative-means model and 0.0177 (95% CI: 0.0110, 0.0243) for the longitudinal model. In conclusion, incorporating repeated measurements of blood pressure and cholesterol into CVD risk prediction models slightly improves risk prediction.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi0 (SwePub)303022 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Public Health, Global Health, Social Medicine and Epidemiology0 (SwePub)303022 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kardiologi0 (SwePub)302062 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cardiac and Cardiovascular Systems0 (SwePub)302062 hsv//eng
653 a cardiovascular disease
653 a longitudinal measurements
653 a repeated measurements
653 a risk factors
653 a risk prediction
7001 a Barrett, Jessica4 aut
7001 a Pennells, Lisa4 aut
7001 a Sweeting, Michael4 aut
7001 a Willeit, Peter4 aut
7001 a Di Angelantonio, Emanuele4 aut
7001 a Gudnason, Vilmundur4 aut
7001 a Nordestgaard, Børge G.4 aut
7001 a Psaty, Bruce M.4 aut
7001 a Goldbourt, Uri4 aut
7001 a Best, Lyle G.4 aut
7001 a Assmann, Gerd4 aut
7001 a Salonen, Jukka T.4 aut
7001 a Nietert, Paul J.4 aut
7001 a Verschuren, W. M. Monique4 aut
7001 a Brunner, Eric J.4 aut
7001 a Kronmal, Richard A.4 aut
7001 a Salomaa, Veikko4 aut
7001 a Bakker, Stephan J. L.4 aut
7001 a Dagenais, Gilles R.4 aut
7001 a Sato, Shinichi4 aut
7001 a Jansson, Jan-Håkanu Umeå universitet,Medicin4 aut0 (Swepub:umu)jaja0006
7001 a Willeit, Johann4 aut
7001 a Onat, Altan4 aut
7001 a de la Cámara, Agustin Gómez4 aut
7001 a Roussel, Ronan4 aut
7001 a Völzke, Henry4 aut
7001 a Dankner, Rachel4 aut
7001 a Tipping, Robert W.4 aut
7001 a Meade, Tom W.4 aut
7001 a Donfrancesco, Chiara4 aut
7001 a Kuller, Lewis H.4 aut
7001 a Peters, Annette4 aut
7001 a Gallacher, John4 aut
7001 a Kromhout, Daan4 aut
7001 a Iso, Hiroyasu4 aut
7001 a Knuiman, Matthew4 aut
7001 a Casiglia, Edoardo4 aut
7001 a Kavousi, Maryam4 aut
7001 a Palmieri, Luigi4 aut
7001 a Sundström, Johanu Uppsala universitet,Kardiologi,Kardiovaskulär epidemiologi4 aut0 (Swepub:uu)johasund
7001 a Davis, Barry R.4 aut
7001 a Njølstad, Inger4 aut
7001 a Couper, David4 aut
7001 a Danesh, John4 aut
7001 a Thompson, Simon G.4 aut
7001 a Wood, Angela4 aut
7102 a Umeå universitetb Medicin4 org
7730 t American Journal of Epidemiologyd : Oxford University Pressg 186:8, s. 899-907q 186:8<899-907x 0002-9262x 1476-6256
8564 u https://doi.org/10.1093/aje/kwx149y Fulltext
8564 u https://umu.diva-portal.org/smash/get/diva2:1165548/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://academic.oup.com/aje/article-pdf/186/8/899/24330495/kwx149.pdf
8564 u https://uu.diva-portal.org/smash/get/diva2:1187417/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-142912
8564 8u https://doi.org/10.1093/aje/kwx149
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-344000

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