Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

  1. Levels of and Changes in Childhood Body Mass Index in Relation to Risk of Atrial Fibrillation and Atrial Flutter in Adulthood

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Infertility in a Cohort of Male Danish Firefighters: A Register-Based Study

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. ASSOCIATIONS OF OCCUPANT MOTOR VEHICLE CRASH WITH FUTURE HEART FAILURE AND ISCHEMIC STROKE IN OLDER ADULTS

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Effect estimates in randomized trials and observational studies: comparing apples with apples

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  5. Mortality in women treated with assisted reproductive technology treatment - addressing the healthy patient effect

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Reply to: Clinical impact of high platelet count and high hematocrit, by Marc Sorigue

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Obesity as a Causal Risk Factor for Aortic Valve Stenosis

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Lipoprotein(a) Reduction in Persons with Cardiovascular Disease

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  • Ellie Paige
  • Jessica Barrett
  • Lisa Pennells
  • Michael Sweeting
  • Peter Willeit
  • Emanuele Di Angelantonio
  • Vilmundur Gudnason
  • Børge G Nordestgaard
  • Bruce M Psaty
  • Uri Goldbourt
  • Lyle G Best
  • Gerd Assmann
  • Jukka T Salonen
  • Paul J Nietert
  • W M Monique Verschuren
  • Eric J Brunner
  • Richard A Kronmal
  • Veikko Salomaa
  • Stephan J L Bakker
  • Gilles R Dagenais
  • Shinichi Sato
  • Jan-Håkan Jansson
  • Johann Willeit
  • Altan Onat
  • Agustin Gómez de la Cámara
  • Ronan Roussel
  • Henry Völzke
  • Rachel Dankner
  • Robert W Tipping
  • Tom W Meade
  • Chiara Donfrancesco
  • Lewis H Kuller
  • Annette Peters
  • John Gallacher
  • Daan Kromhout
  • Hiroyasu Iso
  • Matthew Knuiman
  • Edoardo Casiglia
  • Maryam Kavousi
  • Luigi Palmieri
  • Johan Sundström
  • Barry R Davis
  • Inger Njølstad
  • David Couper
  • John Danesh
  • Simon G Thompson
  • Angela Wood
Vis graf over relationer

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.

OriginalsprogEngelsk
TidsskriftAmerican Journal of Epidemiology
Vol/bind186
Udgave nummer8
Sider (fra-til)899-907
Antal sider9
ISSN0002-9262
DOI
StatusUdgivet - 15 okt. 2017

ID: 52423613