Hassan Harirah1, Sahar E Donia, Chaur Dong Hsu. 1. Department of Obstetrics and Gynecology, The University of Texas Medical Branch, Galveston, Texas 77555-0587, USA. hmharira@utmb.edu
Abstract
OBJECTIVE: To assess the potential role of amniotic fluid (AF) matrix metalloproteinase-9 and interleukin-6 in predicting intra-amniotic infection. METHODS: Eighty-four women with singleton gestations with preterm contraction, preterm labor, preterm premature rupture of membranes, or clinical suspicion of intra-amniotic infection were studied. Amniotic fluid was obtained by transabdominal amniocentesis before starting any treatment. Intra-amniotic infection was defined as the presence of a positive AF culture. Amniotic fluid glucose concentration, leukocytes, matrix metalloproteinase-9, and interleukin-6 were determined. RESULTS: Amniotic fluid matrix metalloproteinase-9 and interleukin-6 levels were significantly higher in women with intra-amniotic infection than in those without. With intra-amniotic infection, levels of matrix metalloproteinase-9 significantly correlated with interleukin-6 (r = 0.813, P <.001). Each of matrix metalloproteinase-9 and interleukin-6 significantly correlated with AF leukocytes and inversely correlated with AF glucose. Using AF cutoff levels of 13.6 ng/mL for matrix metalloproteinase-9 and 11.4 ng/mL for interleukin-6, the sensitivity, specificity, and positive and negative predictive values for diagnosing intra-amniotic infection were 77% versus 73%, 100% versus 79%, 100% versus 61%, and 90% versus 86%, respectively. Combining AF matrix metalloproteinase-9 with interleukin-6 slightly improved the sensitivity and the negative predictive values in diagnosing intra-amniotic infection. CONCLUSIONS: Amniotic fluid matrix metalloproteinase-9 and interleukin-6 are significantly elevated in women with intra-amniotic infection. Amniotic fluid matrix metalloproteinase-9 is an accurate biochemical marker in predicting intra-amniotic infection with better sensitivity, specificity, and positive and negative predictive values than interleukin-6.
OBJECTIVE: To assess the potential role of amniotic fluid (AF) matrix metalloproteinase-9 and interleukin-6 in predicting intra-amniotic infection. METHODS: Eighty-four women with singleton gestations with preterm contraction, preterm labor, preterm premature rupture of membranes, or clinical suspicion of intra-amniotic infection were studied. Amniotic fluid was obtained by transabdominal amniocentesis before starting any treatment. Intra-amniotic infection was defined as the presence of a positive AF culture. Amniotic fluid glucose concentration, leukocytes, matrix metalloproteinase-9, and interleukin-6 were determined. RESULTS: Amniotic fluid matrix metalloproteinase-9 and interleukin-6 levels were significantly higher in women with intra-amniotic infection than in those without. With intra-amniotic infection, levels of matrix metalloproteinase-9 significantly correlated with interleukin-6 (r = 0.813, P <.001). Each of matrix metalloproteinase-9 and interleukin-6 significantly correlated with AF leukocytes and inversely correlated with AF glucose. Using AF cutoff levels of 13.6 ng/mL for matrix metalloproteinase-9 and 11.4 ng/mL for interleukin-6, the sensitivity, specificity, and positive and negative predictive values for diagnosing intra-amniotic infection were 77% versus 73%, 100% versus 79%, 100% versus 61%, and 90% versus 86%, respectively. Combining AFmatrix metalloproteinase-9 with interleukin-6 slightly improved the sensitivity and the negative predictive values in diagnosing intra-amniotic infection. CONCLUSIONS: Amniotic fluid matrix metalloproteinase-9 and interleukin-6 are significantly elevated in women with intra-amniotic infection. Amniotic fluid matrix metalloproteinase-9 is an accurate biochemical marker in predicting intra-amniotic infection with better sensitivity, specificity, and positive and negative predictive values than interleukin-6.
Authors: Seung Mi Lee; Roberto Romero; Jeong Woo Park; Sun Min Kim; Chan-Wook Park; Steven J Korzeniewski; Tinnakorn Chaiworapongsa; Bo Hyun Yoon Journal: J Matern Fetal Neonatal Med Date: 2012-04-25
Authors: Catalin S Buhimschi; Sonya Abdel-Razeq; Michael Cackovic; Christian M Pettker; Antonette T Dulay; Mert Ozan Bahtiyar; Eduardo Zambrano; Ryan Martin; Errol R Norwitz; Vineet Bhandari; Irina A Buhimschi Journal: Am J Perinatol Date: 2008-05-29 Impact factor: 1.862