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Showing 2 results for First Trimester
The relationship between hemoglobin and hematocrit in the first trimester of pregnancy and preeclampsia
Nastaran Safavi Ardebili, Nourossadat Kariman, Abbas Hajifathali, Hamid Alavi Majd,
Volume 14, Issue 4 (9-2011)
Abstract
Background: Preeclampsia is one of major reasons of mortality in mother and child and its early diagnosis is one of the most important parts of health care during pregnancy. The current study was done to find the relationship between hemoglobin and hematocrit in the first trimester of pregnancy and the incidence of preeclampsia in women referring to Milad Hospital in Tehran in 2009-2010. Materials and Methods: This prospective cohort study was conducted on 700 pregnant women in the first trimester of pregnancy, selected by convenience sampling. Prenatal tests were run in Milad Hospital and the results were recorded. Then samples were monitored for preeclampsia until delivery. Data were analyzed by SPSS version 18 (P < 0.05). Results: The highest percentage of research groups suffering from preeclampsia was in hemoglobin ≥12/5% g/dl and hematocrit of ≥38% group. There was a significant relationship between hemoglobin and hematocrit levels during the first trimester of pregnancy and preeclampsia (P<0.001, P=0.002). Hemoglobin of ≥ 12.45 g/dl presented a sensitivity of 85%, the specificity of 43.04%, positive predictive value of 9.63%, and negative predictive value of 97.57%. Hematocrit of ≥ 38% presented the sensitivity of 77.5%, the specificity of 50.71, the positive predictive value of 10.1%, and the negative predictive value of 96.93%. Conclusion: The presence of high hemoglobin and hematocrit in the first trimester of pregnancy can be a predictive factor for diagnosing preeclampsia
Roc Curve Multivariate Modeling in Detection of Fetal Abnormalities Using Screening Down Syndrome Associated Markers in the First and Second Periods of Pregnancy
Hamideh Mohammadnia Kojidi, Mohammad Rafeie, Mohammad Ali Daneshmand, Jalal Rezaei,
Volume 21, Issue 2 (5-2018)
Abstract
Abstract
Background: Early diagnosis of prenatal illnesses and timely treatment of congenital anomalies has been the mainstay of the health system. In this study, our aim is to provide Roc curve multivariate modeling in detection of fetal abnormalities using associated markers in screening Down syndrome in the first and second periods of pregnancy.
Materials and Methods: This is a descriptive-analytical study that uses information from two sets of data. In the first set, 152 individuals, who had the results of the first- trimester and second screening tests at risk and in the second group, 75 individuals with normal results. The studied variables included the serum markers in the first- trimester and the second- trimester screening, auxiliary variables (includes demographic information). Statistical analysis was performed by using ROC regression, incremental value analysis and Stata 12 software.
Results: In evaluating the value of each diagnostic test in the presence of auxiliary variables using logistic regression and rock curves, the results generally showed that in screening the first- trimester of PAPP-A and in the screening the second-trimester,Inhibin-A can be used alone as a diagnostic test.
Conclusion: Best diagnostic test in the first- trimester, respectively, PPAP-A, NT, FREE B-HCG and in the second- trimester of screening, respectively, Inhibin-A, HGG, UE3 and AFP were based on the area under the ROC curve. In addition, the most significant effect of the predictor variable on the outcome of the diagnostic test was family history.

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