Objective To investigate the reproductive endocrine status of women with epilepsy at childbearing age and to systematically analyze the clinical features of reproductive endocrine disorders,especially polycystic ovarian syndrome (PCOS),to facilitate early detection and timely intervention.Methods In this study,scoring of anthropometry and physical signs,menstrul assessment,examination of sex hormone and pelvic ultrasound in women with epilepsy at childbearing age were performed,and the data such as overweight,central obesity,oligo/amenorrhea,luteinizing hormone (LH)/follicule-stimulating hormone (FSH),hyperandrogenism and polycystic ovary (PCO) were collected. The characteristics of their reproductive endocrine hormone disorders were analyzed statistically. Results The age of these patients was (22. 5 ± 7.0 ) years,and women younger than 30 years old and at their peak fertility accounted for 84. 89%. The prevalence rate of PCOS in women with epilepsy at childbearing age (12. 75% ) was significantly higher than that of ordinary women at childbearing age (7.2%) in China.Highly specific indicators for PCOS were hyperandrogenism (100%),LH/FSH ＞ 2 (93%) and oligo/amenorrhea (90%),whilst the highly sensitive indicators for PCOS were PCO (92%), oligo/amenorrhea (85%) and hyperandrogenism (54%). This study revealed statistically significant difference in LH,LH/FSH and testosterone (T) between PCOS group (LH: (10.24 ± 6.92) IU/L; LH/FSH;(2.20 ± 1.16);T: ( 1.07 ± 0. 35) ng/ml) and non-PCOS group ( LH: (4. 16 ± 2.62 ) IU/L; LH/FSH:( 0. 87 ± 0. 56 );T: (0. 46 ±0. 25) ng/ml,t = -3. 899,-4. 240 and -4. 918 respectively,all P ＜0. 01 ). Conclusions Hormone indices are objective indicators for the diagnosis of PCOS. In clinical practice,attention should be paid to height,weight,abodominal circumference,menstrul history and ultrasound examination of the ovary in women with epilepsy.When reproductive endocrine hormone disorders are suspected from clinical features,the sex hormones (T,LH,and FSH ) should be checked to allow timely detection and early interventions.

[Objective]This study was designed to identify the risk factors related with reproductive endocrinology disorder in Chinese women of child-bearing age with epilepsy.[Methods]The clinical data of 102 women with epilepsy were collected.The patient were grouped according to seven aspects(seizure onset age,seizure type,seizure frequency,duration of epilepsy,AED type,age of start AED therapy and duration of therapy)and the contribution of these factors in development of PCOS and its components were analyzed.[Results]The incidence of hyperandrogenemia in the patients with an early onset age(≤14 years old)was higher than the ones with an onset age＞14 years old.Onset age≤14 was the risk factor of hyperandrogenemia in logistic regression analysis.The incidence of a/oligomenorrhea,polycystic ovaries,hyperandrogenemia and PCOS in the valproate-treated women were 40.63%,50.00%,15.65%,and 34.38%,respectively,which were higher than the no-therapy group and nonvalproate treated group.Valproate therapy was the risk factor of PCOS and its components.[Conclusion]Valproate therapy was the risk factor of PCOS and its components in Chinese women of child-bearing age with epilepsy.Onset age≤14 was the risk factor of hyperandrogenemia.

Objective:To construct a risk prediction model for unplanned readmission of patients undergoing cardiac resynchronization therapy (CRT) and verify the performance of the model.Methods:Using convenience sampling, patients who underwent CRT at the Department of Cardiovascular of the First Affiliated Hospital of Zhengzhou University from July 2017 to July 2020 were selected as the modeling group ( n=279) and the internal validation group ( n=120). CRT patients admitted to the Department of Cardiovascular of the First Affiliated Hospital of Zhengzhou University from August 2021 to August 2022 due to the same or related diseases were selected as the external validation group ( n=86). Multivariate Logistic regression was used to explore the influencing factors of unplanned readmission of CRT patients and establish the prediction model. The fitting effect and discrimination of the model were evaluated through the Hosmer-Lemeshow test and receiver operating characteristic (ROC) curve. The nomogram was established based on R-4.1.2 and Rstudio software. Results:The multivariate Logistic regression analysis showed that creatinine, left atrial diameter, pulmonary artery systolic pressure, New York Heart Association (NYHA) classification, and body mass index (BMI) were risk factors for unplanned readmission in CRT patients, with statistically significant differences ( P<0.05). The prediction model formula was: P=1/{1+exp[- (0.792×creatinine+1.408×left atrial inner diameter+0.887×pulmonary artery systolic pressure+0.769×NYHA classification-0.970×BMI-2.266) ]}. The area under the ROC curve was 0.874, the maximum value of the Jordan index was 0.636, the optimal threshold was 0.256, the sensitivity was 0.826, and the specificity was 0.810. The accuracy of internal validation and external validation was 90.00% and 90.70%, respectively. Conclusions:The constructed prediction model for unplanned readmission of CRT patients has good predictive performance, and the visualized nomogram improves the practical performance of the model. It helps medical and nursing staff identify high-risk groups of unplanned readmission of CRT patients in the early stage and provides a basis for formulating nursing strategies for different risk groups.

Objective:To comprehensively search, evaluate and summarize the relevant evidence of early ambulation in patients with total knee arthroplasty (TKA), so as to provide evidence-based basis for the nursing practice of early ambulation in patients with TKA.Methods:Clinical decisions, best practice manuals, guidelines, systematic reviews, expert consensus and evidence summaries for early postoperative ambulation of TKA patients were searched by computer on PubMed, Web of Science, BMJ Best Practice, Cochrane Library, UpToDate, OVID, CINAHL, Embase, Joanna Briggs Institute (JBI) Centre for Evidence-based Health Care, Physiotherapy Evidence Database, China National Knowledge Infrastructure, WanFang Data, VIP, China Biology Medicine disc, Guidelines International Network, National Guideline Clearinghouse, National Institute for Health and Care Excellence, Canadian Medical Association Clinical Practice Guideline, Scottish Intercollegiate Guidelines Network, American Academy of Orthopaedic Surgeons and American Association of Hip and Knee Surgeons. The retrieval time was from the establishment of the databases to March 31, 2023. Four nursing graduate students trained in evidence-based nursing systems independently evaluated the quality of the included literature and divided the evidence levels according to the JBI Evidence Pre Grading System (2014 edition) .Results:A total of 15 articles were included, including four clinical decision papers, three guidelines, six expert consensus papers, one evidence summary and one systematic review. According to the judgment of professionals, 23 pieces of best evidence were formed from seven aspects, including the director of ambulation, evaluation before ambulation, ambulation planning, ambulation timing, ambulation content, ambulation evaluation and health education.Conclusions:The best evidence of early postoperative ambulation of patients with TKA summarized in this study is scientific and practical, which can provide evidence-based basis for clinical nursing work.