Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 528854
Title Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction : An Individual-Participant-Data Meta-Analysis
Author(s) Paige, Ellie; Barrett, Jessica; Pennells, Lisa; Sweeting, Michael; Willeit, Peter; Angelantonio, Emanuele Di; Gudnason, Vilmundur; Nordestgaard, Børge G.; Psaty, Bruce M.; Goldbourt, Uri; Best, Lyle G.; Assmann, Gerd; Salonen, Jukka T.; Nietert, Paul J.; Verschuren, W.M.M.; Brunner, Eric J.; Kronmal, Richard A.; Salomaa, Veikko; Bakker, Stephan L.J.; Dagenais, Gilles R.; Sato, Shinichi; Jansson, Jan Håkan; Willeit, Johann; Onat, Altan; La Cámara, Agustin Gómez De; Roussel, Ronan; Völzke, Henry; Dankner, Rachel; Tipping, Robert W.; Meade, Tom W.; Donfrancesco, Chiara; Kuller, Lewis H.; Peters, Annette; Gallacher, John; Kromhout, Daan; Iso, Hiroyasu; Knuiman, Matthew W.; Casiglia, Edoardo; Kavousi, Maryam; Palmieri, Luigi; Sundström, Johan; Davis, Barry R.; Njølstad, Inger; Couper, David; Danesh, John; Thompson, Simon G.; Wood, Angela M.
Source American Journal of Epidemiology 186 (2017)8. - ISSN 0002-9262 - p. 899 - 907.
Department(s) Human Nutrition & Health
Publication type Refereed Article in a scientific journal
Publication year 2017
Keyword(s) Cardiovascular disease - Longitudinal measurements - Repeated measurements - Risk factors - Risk prediction
Abstract 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 (Cindex) 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.
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