Fengxia Zhan1, Shuzhen Zhu2, Haiying Liu3, Qian Wang2, Guanghui Zhao2. 1. Hospital of Shandong University, Jinan, China. 2. Clinical Laboratory Medicine Center, Qilu Hospital of Shandong University, Jinan, China. 3. Departments of Obstetrics, Qilu Hospital of Shandong University, Qingdao, China.
Abstract
OBJECTIVE: To assess the value of blood routine test (blood RT) in order to predict the occurrence of premature rupture of membranes (PROM). METHODS: A retrospective study was conducted to collect blood RT data from 100 cases of preterm premature rupture of membranes (pPROM), 70 cases of full-term premature rupture of membranes (fPROM), and 100 cases of full-term pregnancy (Normal). Nonparametric tests were performed for each blood routine parameter, the ROC curve was established for the parameters with significant difference, and the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratios (+LR), and negative likelihood ratios (-LR) were further calculated. RESULTS: The statistical results showed that WBC, NE.%, LY.%, EO.%, BA.%, NE.#, EO.#, RBC, HGB, HCT, and NLR were significantly different between pPROM and fPROM (P < 0.05). There was a significant difference in WBC, NE.%, LY.%, NE.#, MO.#, RBC, HGB, HCT, and NLR between the pPROM and Normal groups (P < 0.05). Between the fPROM and Normal groups, only WBC was statistically significant (P < 0.05). By establishing ROC curve, the results showed that when the cutoff value of WBC was 9.63 and NEU# was 7.12, their combined detection had the best predictive value with a sensitivity of 73% and a specificity of 81%. In addition, Its PPV was 79.3%, NPV was 75%, +LR was 3.84, and -LR was 0.33. CONCLUSION: The patient's blood RT results can be used to predict the risk of premature rupture of membranes, and in order to improve the sensitivity and specificity, multiple parameters can be combined.
OBJECTIVE: To assess the value of blood routine test (blood RT) in order to predict the occurrence of premature rupture of membranes (PROM). METHODS: A retrospective study was conducted to collect blood RT data from 100 cases of preterm premature rupture of membranes (pPROM), 70 cases of full-term premature rupture of membranes (fPROM), and 100 cases of full-term pregnancy (Normal). Nonparametric tests were performed for each blood routine parameter, the ROC curve was established for the parameters with significant difference, and the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratios (+LR), and negative likelihood ratios (-LR) were further calculated. RESULTS: The statistical results showed that WBC, NE.%, LY.%, EO.%, BA.%, NE.#, EO.#, RBC, HGB, HCT, and NLR were significantly different between pPROM and fPROM (P < 0.05). There was a significant difference in WBC, NE.%, LY.%, NE.#, MO.#, RBC, HGB, HCT, and NLR between the pPROM and Normal groups (P < 0.05). Between the fPROM and Normal groups, only WBC was statistically significant (P < 0.05). By establishing ROC curve, the results showed that when the cutoff value of WBC was 9.63 and NEU# was 7.12, their combined detection had the best predictive value with a sensitivity of 73% and a specificity of 81%. In addition, Its PPV was 79.3%, NPV was 75%, +LR was 3.84, and -LR was 0.33. CONCLUSION: The patient's blood RT results can be used to predict the risk of premature rupture of membranes, and in order to improve the sensitivity and specificity, multiple parameters can be combined.
Authors: Aly-Khan A Lalani; Wanling Xie; Dylan J Martini; John A Steinharter; Craig K Norton; Katherine M Krajewski; Audrey Duquette; Dominick Bossé; Joaquim Bellmunt; Eliezer M Van Allen; Bradley A McGregor; Chad J Creighton; Lauren C Harshman; Toni K Choueiri Journal: J Immunother Cancer Date: 2018-01-22 Impact factor: 13.751