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Sökning: WFRF:(Rimm Eric B.) > Does pregnancy comp...

Does pregnancy complication history improve cardiovascular disease risk prediction? : Findings from the HUNT study in Norway

Markovitz, Amanda R (författare)
Harvard T.H. Chan School of Public Health
Stuart, Jennifer J (författare)
Harvard T.H. Chan School of Public Health
Horn, Julie (författare)
Norwegian University of Science and Technology
visa fler...
Williams, Paige L (författare)
Harvard T.H. Chan School of Public Health
Rimm, Eric B (författare)
Brigham and Women's Hospital / Harvard Medical School
Missmer, Stacey A (författare)
Boston Children's Hospital
Tanz, Lauren J (författare)
Brigham and Women's Hospital / Harvard Medical School
Haug, Eirin B (författare)
Norwegian University of Science and Technology
Fraser, Abigail (författare)
University of Bristol
Timpka, Simon (författare)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Brigham and Women's Hospital / Harvard Medical School
Klykken, Bjørnar (författare)
Nord-Trøndelag Health Trust
Dalen, Håvard (författare)
St. Olav’s University Hospital
Romundstad, Pål R (författare)
Norwegian University of Science and Technology
Rich-Edwards, Janet W (författare)
Harvard University,Brigham and Women's Hospital / Harvard Medical School
Åsvold, Bjørn Olav (författare)
St. Olav’s University Hospital
visa färre...
Harvard TH. Chan School of Public Health Norwegian University of Science and Technology (creator_code:org_t)
2018-12-27
2019
Engelska.
Ingår i: European Heart Journal. - : Oxford University Press (OUP). - 1522-9645 .- 0195-668X. ; 40:14, s. 1113-1120
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Aim: To evaluate whether history of pregnancy complications [pre-eclampsia, gestational hypertension, preterm delivery, or small for gestational age (SGA)] improves risk prediction for cardiovascular disease (CVD).Methods and results: This population-based, prospective cohort study linked data from the HUNT Study, Medical Birth Registry of Norway, validated hospital records, and Norwegian Cause of Death Registry. Using an established CVD risk prediction model (NORRISK 2), we predicted 10-year risk of CVD (non-fatal myocardial infarction, fatal coronary heart disease, and non-fatal or fatal stroke) based on established risk factors (age, systolic blood pressure, total and HDL-cholesterol, smoking, anti-hypertensives, and family history of myocardial infarction). We evaluated whether adding pregnancy complication history improved model fit, calibration, discrimination, and reclassification. Among 18 231 women who were parous, ≥40 years of age, and CVD-free at start of follow-up, 39% had any pregnancy complication history and 5% experienced a CVD event during a median follow-up of 8.2 years. While pre-eclampsia and SGA were associated with CVD in unadjusted models (HR 1.96, 95% CI 1.44-2.65 for pre-eclampsia and HR 1.46, 95% CI 1.18-1.81 for SGA), only pre-eclampsia remained associated with CVD after adjusting for established risk factors (HR 1.60, 95% CI 1.16-2.17). Adding pregnancy complication history to the established prediction model led to small improvements in discrimination (C-index difference 0.004, 95% CI 0.002-0.006) and reclassification (net reclassification improvement 0.02, 95% CI 0.002-0.05).Conclusion: Pre-eclampsia independently predicted CVD after controlling for established risk factors; however, adding pre-eclampsia, gestational hypertension, preterm delivery, and SGA made only small improvements to CVD prediction among this representative sample of parous Norwegian women.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Reproduktionsmedicin och gynekologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Obstetrics, Gynaecology and Reproductive Medicine (hsv//eng)

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