Explore the vast range of titles available.

Objective: This study investigates risk factors for lower extremity deep vein thrombosis (LEDVT) after gynecologic laparoscopy and develops a predictive model. Methods: The Delphi method was used in expert opinion to identify risk factors for LEDVT. Patients undergoing gynecologic laparoscopic surgery from January 2018 to June 2023 were divided into LEDVT and non-LEDVT groups and matched as a ratio of 1:3. A nomogram model for LEDVT was established and compared to Caprini and G-Caprini scores. Results: A total of 191 patients with LEDVT and 573 matched patients without LEDVT were included. Multivariate logistic regression analysis showed that older age (OR = 1.146, P < 0.001), history of varicose veins (OR = 6.721, P = 0.011), gynecological malignancies (OR = 8.053, P < 0.001), longer operation time (OR = 1.010, P < 0.001), longer postoperative bed rest time (OR = 99.406, P < 0.001), without postoperative anticoagulation (OR = 0.282, P = 0.042), higher D-dimer (OR = 1.145, P = 0.015), lower direct bilirubin (OR = 0.715, P = 0.006) and lower hemoglobin (OR = 0.982, P = 0.016) are independent risk factors for LEDVT in patients undergoing gynecologic laparoscopic surgery. A nomogram model was established with an area under the receiver operating characteristic curve of 0.839, sensitivity of 78.0%, and specificity of 76.1%. Validation set showed that this predictive model had an ROC of 0.954, sensitivity of 92.6% and specificity of 96.7%. Conclusion: A nomogram model that includes age, history of varicose veins, gynecologic malignancies, operation time, postoperative bed rest time, postoperative anticoagulation, D-dimer, direct bilirubin, and hemoglobin could effectively predict the risk of LEDVT in patients undergoing gynecologic laparoscopic surgery. The current nomogram model potentially helps to reduce the incidence of LEDVT and improve the quality of life.

Objective Our study aims to investigate post-abortion needs-based education via the WeChat platform for women who had intended abortion in the first trimester, whether they are using effective contraception or becoming pregnant again. Design This single hospital intervention-controlled trial used a nearly 1:1 allocation ratio. Women who had intended abortions were randomly assigned to a Wechat group (needs-based education) and a control group (Traditional education). The women's ability to use effective contraception was the main result. Whether they unknowingly became pregnant again was the second result. Another result was patient anxiousness. Before and after education, women filled out questionnaires to assess their contraception methods and anxiety. Methods Based on the theoretical framework of contraceptions of IBL (inquiry-based learning), post-abortion women were included in WeChat groups. We use WeChat Group Announcement, regularly sending health education information, one-on-one answers to questions, and consultation methods to explore the possibilities and advantages of WeChat health education for women after abortion. A knowledge paradigm for post-abortion health education was established: From November 2021 until December 2021, 180 women who had an unintended pregnancy and undergone an induced or medical abortion were recruited, their progress was tracked for four months, and the PAC service team monitored the women's speech, discussed and classified the speech entries and summarized the common post-abortion needs in 8 aspects. At least 2 research group members routinely extracted records and categorized the outcomes. Results Before education, there were no appreciable variations between the two groups regarding sociodemographic characteristics, obstetrical conditions, abortion rates, or methods of contraception ( P  > 0.05). Following education, the WeChat group had a greater rate of effective contraception (63.0%) than the control group (28.6%), and their SAS score dropped statistically more than that of the control group ( P  < 0.05). Following the education, there were no unwanted pregnancies in the WeChat group, whereas there were 2 in the traditional PAC group. Only 5 participants in the WeChat group and 32 in the conventional PAC group reported mild anxiety after the education.

Objective To investigate the risk factors associated with lower extremity deep vein thrombosis (LEDVT) and to establish a predictive model for patients who undergo gynecologic laparoscopic surgery. Methods A review of clinical data was conducted on patients who underwent gynecologic laparoscopic surgery between November 1, 2020, and January 31, 2022. Patients who developed LEDVT after surgery were included as the observation group, while the control group comprised patients who did not experience complications. Multivariate forward stepwise logistic regression models were used to identify independent risk factors associated with LEDVT. A nomogram model was then developed based on these risk factors. Results A total of 659 patients underwent gynecologic laparoscopic surgery during the study period, and 52 (7.89%) of these patients developed postoperative LEDVT. Multivariate logistic regression analysis showed that older age (adjusted OR, 1.085; 95% CI [1.034-1.138]; P<0.05), longer operation duration (adjusted OR, 1.014; 95% CI [1.009-1.020]; P<0.05), shorter activated partial thromboplastin time (APTT) (adjusted OR, 0.749; 95% CI [0.635-0.884]; P<0.05), higher D-dimer (adjusted OR, 4.929; 95% CI [2.369-10.255]; P<0.05), higher Human Epididymis Protein 4 (HE4) (adjusted OR, 1.007; 95% CI [1.001-1.012]; P<0.05), and history of hypertension (adjusted OR, 3.732; 95% CI [1.405-9.915]; P<0.05) were all independent risk factors for LEDVT in patients who underwent gynecologic laparoscopic surgery. A nomogram model was then created, which had an area under the curve of 0.927 (95% CI [0.893-0.961]; P<0.05), a sensitivity of 96.1%, and a specificity of 79.5%. Conclusions A nomogram model that incorporates information on age, operation duration, APTT, D-dimer, history of hypertension, and HE4 could effectively predict the risk of LEDVT in patients undergoing gynecologic laparoscopic surgery, potentially helping to prevent the development of this complication.

Purpose Hysterectomy is a common gynecological surgery associated with significant postoperative discomfort and extended hospital stays. Enhanced recovery after surgery (ERAS), a multidisciplinary approach, has emerged as a strategy aimed at improving perioperative outcomes and promoting faster patient recovery and satisfaction. This meta-analysis aimed to evaluate the impact of ERAS protocols on clinical outcomes, such as hospital stay length, readmission rates, and postoperative complications, in patients undergoing gynecological hysterectomy. Methods Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, a systematic review and meta-analysis were conducted. Databases including PubMed, Embase, and Cochrane library were searched for relevant studies published up to January 31, 2023. A total of seventeen studies were selected based on predefined eligibility and exclusion criteria. Meta-analysis was carried out using a random-effects model with the STATA SE 14.0 software, focusing on outcomes like length of hospital stay, postoperative complications, and readmission rates. Results ERAS protocols significantly reduced the length of hospital stays and incidence of postoperative complications such as ileus, without increasing readmission rates or the level of patient-reported pain. Notable heterogeneity was observed among included studies, attributed to the variation in patient populations and the specificity of the documented study protocols. Conclusion The findings underscore the effectiveness of ERAS protocols in enhancing recovery trajectories in gynecological hysterectomy patients. This reinforces the imperative for broader, standardized adoption of ERAS pathways as an evidence-based approach, fostering a safer and more efficient perioperative care paradigm.

The termination of pregnancy for fetal abnormality (TOPFA) represents a profound trauma for the woman and her family, leading to significant psychological distress and suffering. Rumination, particularly of the deliberate type, plays a crucial role in the recovery process, offering substantial benefits for both psychological and physical healing. The purpose of this study is to investigate the general status of rumination among women who have undergone TOPFA, identify its primary influencing factors, and provide evidence-based recommendations for obstetric and gynecologic nursing staff to deliver comprehensive psychological care and interventions. Such strategies aim to foster positive psychological adjustment and expedite the recovery of mental and physical well-being in these patients. Utilizing a convenience sampling method, this study enrolled 325 participants from three top-tier hospitals in Fujian Province, China. A cross-sectional analysis was performed using a series of instruments including the General Information Questionnaire, Emotional Regulation Scale, Simple Coping Style Questionnaire, and the Chinese version of the Event Related Rumination Inventory. Findings indicate that rumination levels among women undergoing TOPFA are generally in the lower-middle range, with family relationships, educational background, gestational age at the time of termination, emotional regulation abilities, and coping strategies emerging as significant contributing factors. Clinical practitioners are urged to carefully assess the psychological status of women experiencing TOPFA, guiding them towards effective cognitive coping mechanisms. This approach is critical for facilitating the restoration of their mental and physical health.

The main reason for line collision accidents in offline construction is that construction personnel have an insufficient perception of distance. In the range of viewing angles, due to the lack of reference objects, people lack a correct judgment of the actual height of overhead lines. Voltage, as the most direct electrical volume, has always been a key indicator of electrical protection. In this paper, the feasibility of electrostatic induction is verified through the combination of electrostatic field simulation and experiment, and the influencing factors of electrostatic induction are studied. The results show that electrostatic induction is strongly related to the environmental angle, and the inductive voltage increases with the increase of the high voltage side, and the increased amplitude gradually increases. In addition, the induction distance and the shape of the receiving antenna have an impact on the effect of electrostatic induction. However, the induction distance has the greatest influence on the electrostatic induction effect, followed by the length and diameter of the induction conductor. The research of this paper plays a technical guiding role in the distance measurement of transmission lines based on electric fields.

Several (inter)national longitudinal dementia observational datasets encompassing demographic information, neuroimaging, biomarkers, neuropsychological evaluations, and muti-omics data, have ushered in a new era of potential for integrating machine learning (ML) into dementia research and clinical practice. ML, with its proficiency in handling multi-modal and high-dimensional data, has emerged as an innovative technique to facilitate early diagnosis, differential diagnosis, and to predict onset and progression of mild cognitive impairment and dementia. In this review, we evaluate current and potential applications of ML, including its history in dementia research, how it compares to traditional statistics, the types of datasets it uses and the general workflow. Moreover, we identify the technical barriers and challenges of ML implementations in clinical practice. Overall, this review provides a comprehensive understanding of ML with non-technical explanations for broader accessibility to biomedical scientists and clinicians.

In order to solve the coupling problem of the six-pole hybrid magnetic bearing (SHMB), an active disturbance rejection control based on modified particle swarm optimization is proposed. Firstly, the active disturbance rejection control (ADRC) for the six-pole hybrid magnetic bearing is introduced, which is a second-order system. Secondly, the modified particle swarm optimization (MPSO) is used for the ADRC, which can decouple the SHMB. Then, simulations of SHMBs are performed under different disturbance signals, and floating simulations and anti-interference simulations of ADRC-MPSO and ADRC are compared. Finally, an experimental platform is established that verifies feasibility and reliability.

Neurological disorders such as Alzheimer's disease (AD) and Parkinson's disease (PD) pose a serious global public health threat, with complex etiologies involving genetic, environmental, and metabolic factors. Current data indicate that the prevalence of these disorders is rapidly increasing with the aging population, resulting in a growing economic and healthcare burden worldwide. In recent years, the imbalance of copper homeostasis has been increasingly implicated in the pathogenesis of neurological diseases. Copper overload can aggravate neuronal injury by inducing oxidative stress (OS), mitochondrial dysfunction, and protein misfolding, while copper deficiency disrupts the function of copper-dependent enzymes and leads to metabolic abnormalities. The mechanism of cuproptosis, proposed in 2022, describes a novel form of programmed cell death characterized by lipoylated protein aggregation and the loss of Fe-S cluster proteins, offering new insights into copper-related diseases. Multiple studies have demonstrated the crucial role of copper homeostasis and cuproptosis in the onset, progression, and treatment of neurological diseases. This narrative review summarizes the molecular mechanisms involved in copper homeostasis regulation and, on that basis, discusses the role of copper metabolism abnormalities in AD, PD, Huntington's disease (HD), amyotrophic lateral sclerosis (ALS), multiple sclerosis (MS), Wilson's disease (WD), Menkes disease (MD), and stroke. Additionally, we highlight the mechanisms of existing copper-regulating drugs and their therapeutic potential in neurological disorders, while pointing out the limitations of current drug development.