Purpose Cervical cancer is a common cancerous tumor in women that is prone to recurrence and metastasis. Recently, many people have explored the role of protocadherin 7 ( PCDH7 ) in cancer and found that PCDH7 is abnormally expressed in many cancers. The purpose of this study is to explore the expression and mechanism of PCDH7 in cervical cancer and evaluate its clinical prognostic significance. Materials and Methods The expression of PCDH7 in cervical cancer and cells was measured by qRT-PCR. The relationship between PCDH7 expression and the clinical prognosis was calculated using the Kaplan–Meier method and Cox regression analyses. Effects of PCDH7 on cancer cell proliferation, migration, and invasion were studied by MTT assay and transwell assays. Results The expression of PCDH7 in cervical cancer tissues and cell lines was notably downregulated compared with the corresponding control. Low PCDH7 expression was associated with a low survival rate. PCDH7 expression was correlated with lymph node metastasis, cell differentiation, and FIGO staging. PCDH7 can be used as an independent prognostic factor for cervical cancer. Up-regulation of PCDH7 significantly inhibited the proliferation ability, migration potential, and invasion capacity of cancer cells. Conclusion PCDH7 may be used as a prognostic biomarker for cervical cancer patients.
Background/Objective To estimate the effectiveness of uterine massage UM in reducing blood loss before delivery of placenta in CS. Methods This was a retrospective cohort study of 1393 women who delivered with CS. Patients who underwent UM (671women) were compared with those who underwent controlled cord traction (722 women). According to risk assessment of PPH, 2 groups were both divided to low risk group and high risk group. Outcomes included blood loss amount within 2 h after delivery, incidence of PPH and intractable PPH. Results Blood loss amount within 2 h was lower in UM group than CCT group(516.6±196.5 ml compared with 674.1±272.2 ml, P<0.01). The incidence of PPH and intractable PPH didn’t differ significantly between the 2 groups (6.7% compared with 9.1%, P=0.09 and 3.9% compared with 5.3%, P=0.22,respectively).In high risk group, the amount of blood loss within 2 h and the incidence of PPH were both lower in UM group (n=382) than CCT group (n=407) (576.8±228.1 ml compared with 854.9±346.1 ml, P<0.01 and 7.1% compared with 11.3%,P=0.04 ,respectively). The incidence of intractable PPH didn’t differ significantly between the 2 groups (4.7% compared with 6.9%,P=0.19). In low risk group, the 3 outcomes didn’t differ significantly between the 2 groups(n=289 vs. 315) (428.5±172.6 ml compared with 447.9±180.5 ml; 6.2% compared with 6.3%; 2.8% compared with 3.2%; P=0.56, 0.95 and 0.77,respectively). Conclusion In high risk patients of PPH, UM before delivery of placenta contributed to reduce blood loss in CS.
Objective To discuss the application value of the plan–do–check–act (PDCA) cycle in shortening the decision to delivery interval (DDI) time. Methods A total of 106 DDI cases from the Ningbo Women and Children’s Hospital (China) from January 2019 to December 2020 were selected as the subjects of this study. The causes for the prolongation of DDI were analyzed and protocols were developed. Through continuous summaries and improvement, a standardized process was established to direct clinical application, ie, the PDCA cycle. Results The DDI was shortened from 14.26 min in 2019 to 12.18 min in 2020 and the neonatal asphyxia rate significantly decreased from 34.69% in 2019 to 12.50% in 2020 (P < 0.05). Conclusion The PDCA cycle management mode effectively shortened the DDI time and reduced the neonatal asphyxia rate, without increasing adverse maternal outcomes.
Objective To explore the risk factors and develop a predictive model for postpartum hemorrhage in twin pregnancies. Methods This retrospective cohort study included 2,045 patients who met the inclusion criteria for inpatient deliveries at Ningbo Women's and Children's Hospital from January 2018 to August 2022. The patients were randomly divided into training and testing cohorts by 7:3, LASS0 regression screening variables and dichotomous logistic multifactor analysis were applied in R language to determine independent risk factors for postpartum hemorrhage in twin births nomograms were drawn to validate and evaluate the predictive efficacy of the model. Results Multifactorial Logistic regression analysis showed maternal age, assisted reproduction, platelet count, fibrinogen level, albumin level, hypertensive disorders of pregnancy, placenta praevia, number of previous cesarean deliveries, number of previous intrauterine manipulation, and neonatal weight were independent risk factors for postpartum hemorrhage in twin births. The area under curve (AUC) for the training cohort was 0.810 [95%CI (0.781, 0.839)], with a sensitivity of 76.5%, specificity of 71.0%, and positive and negative predictive values of 0.358 and 0.935, respectively, while the AUC for the testing cohorts was 0.821 [95%CI (0.781, 0.860)], with a sensitivity of 80.9%, specificity of 69.49%, and positive predictive value and negative predictive value of 0.426 and 0.929. Conclusion The predictive model can effectively and quantitatively assess the risk of postpartum hemorrhage in twin pregnancies and help clinicians to take personalized preventive measures.
Objective: Histological chorioamnionitis was associated with adverse outcomes. The objective of this study was to develop a prediction model for histological chorioamnionitis in preterm labor with intact membranes. Materials and Methods: Data were obtained from 307 women with singleton preterm labor (gestational age 28-33 +6 weeks) of the intact membranes between October 2011 and July 2014 in the Ningbo Women and Children's Hospital, Ningbo, China. Histological chorioamnionitis (HC) prediction model was developed with maternal independent risk factors before delivery. Results: Multivariable Logistic regression analysis showed that serum C-reactive protein (CRP) (OR=1.175, p = 0.0015, 95% confidence interval (CI) 1.064~1.297), and procalcitonin (PCT) (OR=9.736, p = 0.0117, 95% CI 1.658~57.166) were independent risk factors of HC. When PCT ≥ 0.05 ng/ml and CRP > 7.3 mg/L or PCT < 0.05 ng/ml and CRP > 21.4 mg/L, HC could be detected. HC was predicted with 91.1% accuracy, yielding an area under receiver operating characteristic (ROC) curve of 0.938 (95% CI 0.857~0.996), a positive predictive value of 84.6% (95% CI 65.1~95.6%), and a negative predictive value of 96.7% (95% CI 82.8~99.9%). Conclusion: Combined with CRP and PCT, HC could be predicted with high accuracy in preterm labor with intact membranes before delivery. Further studies should evaluate the value of this model to guide early treatment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.