American Journal of Obstetrics & Gynecology
Volume 197, Issue 4 , Pages 411.e1-411.e5 , October 2007

Metabolic score as a novel approach to assessing preeclampsia risk

Presented at the 27th Annual Clinical Meeting of the Society for Maternal-Fetal Medicine, San Francisco, CA, Feb. 5-10, 2007.

  • Rebecca M. Mazar, MD

      Affiliations

    • Department of Obstetrics and Gynecology, University of Pennsylvania Health System, Philadelphia, PA
    • ,
  • Sindhu K. Srinivas, MD

      Affiliations

    • Department of Obstetrics and Gynecology, University of Pennsylvania Health System, Philadelphia, PA
    • ,
  • Mary D. Sammel, ScD

      Affiliations

    • Department of Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA.
    • ,
  • Christina M. Andrela, BSN

      Affiliations

    • Department of Obstetrics and Gynecology, University of Pennsylvania Health System, Philadelphia, PA
    • ,
  • Michal A. Elovitz, MD

      Affiliations

    • Department of Obstetrics and Gynecology, University of Pennsylvania Health System, Philadelphia, PA
    • Corresponding Author InformationReprints: Michal A. Elovitz, MD, Maternal Fetal Medicine, Department of Obstetrics and Gynecology; CRRWH; University of Pennsylvania, 421 Curie Boulevard, 1353 BRB 2/3, Philadelphia, PA 19104

References 

  1. Chang J, Elam-Evans LD, Berg CJ, et al. Pregnancy-related mortality surveillance—United States, 1991-1999. MMWR Morb Mortal Wkly Rep. 2003;52:1–8
  2. Sattar N, Greer IA. Pregnancy complications and maternal cardiovascular risk: opportunities for intervention and screening?. BMJ. 2002;325:157–160
  3. Parretti E, Lapolla A, Dalfrà MG, et al. Preeclampsia in lean normotensive normotolerant pregnant women can be predicted by simple insulin sensitivity indexes. Hypertension. 2006;47:449–453
  4. Ustun Y, Utsun Y, Kamaci M. Association of fibrinogen and C-reactive protein with severity of preeclampsia. Eur J Obstet Gynecol Reprod Biol. 2004;121:154–158
  5. Bonora E. The metabolic syndrome and cardiovascular disease. Ann Med. 2006;38:64–80
  6. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of The Third Report of The National Cholesterol Education Panel (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001;285:2486–2497
  7. Ridker PM, Buring JE, Cook NR, Rifai N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14719 initially healthy American women. Circulation. 2003;107:391–397
  8. Rutter MK, Meigs JB, Sullivan LM, D’Agostino RB, Wilson PWF. C-reactive protein, the metabolic syndrome, and prediction of cardiovascular events in the Framingham Offspring Study. Circulation. 2004;110:380–385
  9. Rodie VA, Freeman DJ, Sattar N, Greer IA. Preeclampsia and cardiovascular risk: metabolic syndrome of pregnancy?. Atherosclerosis. 2004;175:189–202
  10. Pouta A, Hartikainen AL, Sovio U, et al. Manifestations of metabolic syndrome after hypertensive pregnancy. Hypertension. 2004;43:825–831
  11. Brown DW, Dueker N, Jamieson DJ, et al. Preeclampsia and the risk of ischemic stroke among young women. Stroke. 2006;37:1055–1059
  12. Forest JC, Girouard J, Masse J, et al. Early occurrence of metabolic syndrome after hypertension in pregnancy. Obstet Gynecol. 2005;105:1373–1380
  13. Kaaja RK, Greer IA. Manifestations of chronic disease during pregnancy. JAMA. 2005;294:2751–2757
  14. Ray JG, Vermeulen MJ, Schull MJ, Redelmeier DA. Cardiovascular health after maternal placental syndromes (CHAMPS): population-based retrospective cohort study. Lancet. 2005;366:1797–1803
  15. Irgens HU, Reisaeter L, Igrens LM, Li RT. Long term mortality of mothers and fathers after pre-eclampsia: population based cohort study. BMJ. 2001;323:1213–1217
  16. Alberti K, Zimmet P. Definition, diagnosis and classification of diabetes mellitus and its complications (Part 1:diagnosis and classification of diabetes mellitus provisional report of a WHO consultation). Diabet Med. 1998;15:539–553
  17. Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112:2735–2752
  18. Centers for Disease Control and Prevention. State-specific prevalence of obesity among adults—United States, 2005. MMWR Morb Mortal Wkly Rep. 2006;55:985–988
  19. Agresti A. Categorical data analysis. In: New York: J. Wiley & Sons; 1990;p. 119
  20. Ray JG, Diamond P, Singh G, Bell CM. Brief overview of maternal triglycerides as a risk factor for preeclampsia. BJOG. 2006;113:379–386
  21. Belo L, Caslake M, Gaffney D, et al. Changes in LDL size and HDL concentration in normal and preeclamptic pregnancies. Atherosclerosis. 2002;162:425–432
  22. Tanaka M, Jaamaa G, Kaiser M, et al. Racial disparity in hypertensive disorders of pregnancy in New York state: a 10-year longitudinal population-based study. Am J Public Health. 2007;97:163–170

 This work was supported in part by a University of Pennsylvania Research Foundation grant.

 Cite this article as: Mazar RM, Srinivas SK, Sammel MD, et al. Metabolic score as a novel approach to assessing preeclampsia risk. Am J Obstet Gynecol 2007;197:411.e1-411.e5.

PII: S0002-9378(07)00881-2

doi: 10.1016/j.ajog.2007.07.014

American Journal of Obstetrics & Gynecology
Volume 197, Issue 4 , Pages 411.e1-411.e5 , October 2007

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