BACKGROUND: The present study was aimed at determining whether routine prenatal measurements of circulating soluble intercellular adhesion molecule (sICAM-1; CD54) and soluble vascular cell adhesion molecule (sVCAM-1; CD106) in midgestation have predictive value for the identification of pregnant women destined to develop preeclampsia or other complications of pregnancy during late gestation. METHODS: Plasma sICAM-1 and sVCAM-1 were analyzed between weeks 22 and 29 of gestation in 1543 pregnant women and related to the outcome of pregnancy in a prospective longitudinal study. RESULTS: Plasma sICAM-1 and sVCAM-1 in uncomplicated pregnancies were normally distributed and varied over a small range (sICAM-1, SD = 22.5%; sVCAM-1, SD = 25.5%). Of all analyzed uncomplicated pregnancies, 54 (3.95%) were identified with concentrations of sICAM-1 or sVCAM-1 above the mean + 2 SD. In contrast, of 177 pregnancies with complications (prevalence, 11.5%), 97 (55%) had sICAM-1 or sVCAM-1 concentrations above the same cutoffs weeks before the onset of disease. The sensitivities of sICAM-1 and sVCAM-1 measurements were 66% for preeclampsia and hemolysis, elevated liver enzymes, and low platelets (HELLP syndrome), 42% for gestational hypertension, 50% for fetal retardation, 46% for preterm labor, 50% for gestational diabetes mellitus, 67% for gestational proteinuria, and 70% for infections during pregnancy. Taken together, routine prenatal sICAM-1 and sVCAM-1 measurements had an overall predictive value of 64%. CONCLUSIONS: Midgestation measurements of circulating sICAM-1 and sVCAM-1 have a high predictive value (area under the curve of combined sICAM-1 and sVCAM-1 measurements determined by ROC analysis, 0.85) and may identify up to 55% of pregnant women who will later develop a severe pregnancy-related complication.
BACKGROUND: The present study was aimed at determining whether routine prenatal measurements of circulating soluble intercellular adhesion molecule (sICAM-1; CD54) and soluble vascular cell adhesion molecule (sVCAM-1; CD106) in midgestation have predictive value for the identification of pregnant women destined to develop preeclampsia or other complications of pregnancy during late gestation. METHODS: Plasma sICAM-1 and sVCAM-1 were analyzed between weeks 22 and 29 of gestation in 1543 pregnant women and related to the outcome of pregnancy in a prospective longitudinal study. RESULTS: Plasma sICAM-1 and sVCAM-1 in uncomplicated pregnancies were normally distributed and varied over a small range (sICAM-1, SD = 22.5%; sVCAM-1, SD = 25.5%). Of all analyzed uncomplicated pregnancies, 54 (3.95%) were identified with concentrations of sICAM-1 or sVCAM-1 above the mean + 2 SD. In contrast, of 177 pregnancies with complications (prevalence, 11.5%), 97 (55%) had sICAM-1 or sVCAM-1 concentrations above the same cutoffs weeks before the onset of disease. The sensitivities of sICAM-1 and sVCAM-1 measurements were 66% for preeclampsia and hemolysis, elevated liver enzymes, and low platelets (HELLP syndrome), 42% for gestational hypertension, 50% for fetal retardation, 46% for preterm labor, 50% for gestational diabetes mellitus, 67% for gestational proteinuria, and 70% for infections during pregnancy. Taken together, routine prenatal sICAM-1 and sVCAM-1 measurements had an overall predictive value of 64%. CONCLUSIONS: Midgestation measurements of circulating sICAM-1 and sVCAM-1 have a high predictive value (area under the curve of combined sICAM-1 and sVCAM-1 measurements determined by ROC analysis, 0.85) and may identify up to 55% of pregnant women who will later develop a severe pregnancy-related complication.
Authors: Robert W Powers; Janet M Catov; Lisa M Bodnar; Marcia J Gallaher; Kristine Y Lain; James M Roberts Journal: Reprod Sci Date: 2008-01-09 Impact factor: 3.060
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Authors: Nicholas M Mordwinkin; Joseph G Ouzounian; Larisa Yedigarova; Martin N Montoro; Stan G Louie; Kathleen E Rodgers Journal: J Matern Fetal Neonatal Med Date: 2012-11-09
Authors: Chloe R McDonald; Anne M Darling; Andrea L Conroy; Vanessa Tran; Ana Cabrera; W Conrad Liles; Molin Wang; Said Aboud; Willy Urassa; Wafaie W Fawzi; Kevin C Kain Journal: PLoS One Date: 2015-08-06 Impact factor: 3.240