کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3921603 1599863 2009 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of clinical infection in women with preterm labour with intact membranes: A score based on ultrasonographic, clinical and biological markers
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی زنان، زایمان و بهداشت زنان
پیش نمایش صفحه اول مقاله
Prediction of clinical infection in women with preterm labour with intact membranes: A score based on ultrasonographic, clinical and biological markers
چکیده انگلیسی

ObjectiveTo predict maternal and neonatal clinical infection at admission in women hospitalized for preterm labour (PTL) with intact membranes.Study designProspective study of 371 women hospitalized for preterm labour with intact membranes. The primary outcome was clinical infection, defined by clinical chorioamnionitis at delivery or early-onset neonatal infection.ResultsClinical infection was identified in 21 cases (5.7%) and was associated with earlier gestational age at admission for PTL, elevated maternal C-reactive protein (CRP) and white blood cell count (WBC), shorter cervical length, and a cervical funnelling on ultrasound. We used ROC curves to determine the cut-off values that minimized the number of false positives and false negatives. The cut-off points chosen were 30 weeks for gestational age at admission, 25 mm for cervical length, 8 mg/l for CRP and 12,000 c/mm3 for WBC. Each of these variables was assigned a weight on the basis of the adjusted odds ratios in a clinical infection risk score (CIRS). We set a threshold corresponding to a specificity close to 90%, and calculated the positive and negative predictive values and likelihood ratios of each marker and of the CIRS. The CIRS had a sensitivity of 61.9%, while the sensitivity of the other markers ranged from 19.0% to 42.9%. Internal cross-validation was used to estimate the performance of the CIRS in new subjects. The diagnostic values found remained close to the initial values.ConclusionA clinical infection risk score built from data known at admission for preterm labour helps to identify women and newborns at high risk of clinical infection.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Obstetrics & Gynecology and Reproductive Biology - Volume 145, Issue 1, July 2009, Pages 36–40
نویسندگان
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