Wang Sen-Yu1, Xu Chao2. 1. The Nuclear Medicine Departement, The Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China. wangsenyu123@163.com. 2. The Clinical Laboratory Department, The 98th Hospital of Chinese PLA, Urumqi, China. xuchao123xuchao123@163.com.
Abstract
AIMS: The aim of this study was to explore the correlation between red blood cell distribution width (RDW) and Preganecy Heypertion Disease (PHD) . METHODS: A retrospective study was carried out involving 149 pregnancies with PHD(67 gestational hypertension, 39 Mild preeclampsia, 24 severe preeclampsia and 19 eclampsia) and 70 health pregnant women as controls. The data of RDW were reviewed from antenatal and delivery records. Explored the correlation between RDW and PDH through Logistic Regression analysis, analyzed the clinical value of RDW to predict PHD by receiver operating characteristic (ROC) curve analysis. RESULTS: RDW in different gestational time(20th week, 24th week, 28th week) of different pregnant women groups had differences (P < 0.05), but pregnant women in the same group had no difference from 20th week to 28th week(P > 0.05). Logistic regression analysis showed that RDW was a risk factor for PHD (odds ratio 2.683; 95 % confidence interval 1.472-6.096), the optimal RDW-CV threshold was 14.1 % to predict PHD by the ROC curve, the sensitivity and speciality were 72.5 % and 77.9 %. CONCLUSIONS: RDW as a new chronic inflammation mediator, which was a high-risk factor of PHD, also had certain clinical value to predict the occurrence of PHD.
AIMS: The aim of this study was to explore the correlation between red blood cell distribution width (RDW) and Preganecy Heypertion Disease (PHD) . METHODS: A retrospective study was carried out involving 149 pregnancies with PHD(67 gestational hypertension, 39 Mild preeclampsia, 24 severe preeclampsia and 19 eclampsia) and 70 health pregnant women as controls. The data of RDW were reviewed from antenatal and delivery records. Explored the correlation between RDW and PDH through Logistic Regression analysis, analyzed the clinical value of RDW to predict PHD by receiver operating characteristic (ROC) curve analysis. RESULTS: RDW in different gestational time(20th week, 24th week, 28th week) of different pregnant women groups had differences (P < 0.05), but pregnant women in the same group had no difference from 20th week to 28th week(P > 0.05). Logistic regression analysis showed that RDW was a risk factor for PHD (odds ratio 2.683; 95 % confidence interval 1.472-6.096), the optimal RDW-CV threshold was 14.1 % to predict PHD by the ROC curve, the sensitivity and speciality were 72.5 % and 77.9 %. CONCLUSIONS: RDW as a new chronic inflammation mediator, which was a high-risk factor of PHD, also had certain clinical value to predict the occurrence of PHD.