Objective To explore the clinical efficacy and safety of endoscopic endonasal dorsum sellae and posterior clinoid process resection combined with pituitary hemi-transposition in the treatment of pan-sellar area lesions. Methods Clinical data from 57 patients with pan sellar diseases who underwent endoscopic transnasal resection of the posterior clinoid process combined with lateral pituitary displacement surgery in the neurosurgery department of Zhongshan Hospital, Fudan University from January 2019 to January 2025 were collected, and their clinical surgical characteristics and prognosis were analyed. Results A total of 57 patients with pan-sellar area lesions were included in this study, comprising 27 craniopharyngiomas, 7 giant suprasellar pituitary adenomas, 7 chordomas, 6 chondrosarcomas, 5 diaphragma sellae/dorsum sellae meningiomas, and 5 rare lesions. All procedures were completed successfully, and gross total or near-total resection was achieved in all patients. No new neurovascular complications occurred intraoperatively. The follow-up duration ranged from 3 to 24 months. New postoperative anterior pituitary insufficiency occurred in 3 patients (5.3%), and new posterior pituitary insufficiency requiring long-term hormone replacement therapy occurred in 4 patients (7.0%). No additional pituitary dysfunction was observed in the remaining patients. Cerebrospinal fluid rhinorrhea occurred in 1 patient (1.8%) and was successfully repaired. Intracranial infection occurred in 3 patients (5.3%) and resolved after medical treatment. Conclusion Endoscopic resection of the posterior clinoid process combined with lateral displacement of the pituitary gland can effectively expand the surgical space, while repositioning the pituitary gland can reduce the extent of skull base defects. In addition, the risk of pituitary dysfunction caused by lateral displacement of the pituitary gland is relatively low.

Purpose: Interviews play a crucial role in the medical school selection process, although little is known about interviewers’ non-verbal observable communications (NoVOC) during the interviews. This study investigates how interviewers perceive NoVOC exhibited by interviewees in two medical schools, one in Taiwan and the other in Australia. The study also explores potential cross-cultural differences in these perceptions. Methods: A 26-item questionnaire was developed using a Delphi-like method to identify NoVOC. Interviewers from the University of New South Wales, Australia, and National Yang Ming Chiao Tung University, Taiwan (n=47 and N=78, respectively) rated these NoVOC between 2018 and 2021. Factor analyses identified and validated underlying factors. Measurement invariance across countries and genders was examined. Results: A total of 125 interviewers completed the questionnaire, including 78 from Taiwan and 47 from Australia. Using exploratory factor analysis, 14 items yielded reliable three factors “charming,” “disengaged,” and “anxious” (Cronbach’s α=0.853, 0.714, and 0.628, respectively). The measurement invariance analysis indicated that the factor models were invariant across genders but significantly different between the two countries. Further analysis revealed inconsistencies in interpreting the “anxious” factor between Taiwan and Australia. Conclusion The three distinct factors revealed in this study provide valuable insights into the NoVOC that interviewers perceive and evaluate during the interview process. The findings highlight the importance of considering non-verbal communication in selecting medical students and emphasize the need for training and awareness among interviewers. Understanding the impact of non-verbal behaviors can improve selection processes to mitigate bias and enhance the fairness and reliability of medical student selection.

In China, the number of chronic pain patients has exceeded 300 million, making chronic pain the third major health problem after tumors and cardiovascular diseases. Particularly concerning is the gradual emergence of hypertension and chronic low back pain as public health problems that threaten public health and increase the global economic burden. Modern research shows that the incidence of coexisting hypertension is higher among patients with chronic low back pain. Additionally, evidence indicates that the use of NSAIDs for pain relief can have adverse effects on blood pressure, and some antihypertensive medications may trigger symptoms of low back pain. Thus, addressing chronic pain in hypertensive patients while stabilizing blood pressure is one of the important research questions in the modern treatment of hypertension among middle-aged and elderly individuals. From ancient to modern traditional Chinese medicine(TCM) theory, kidney deficiency has been regarded as the core pathogenesis of low back pain. Recent clinical practices and literature indicate that kidney deficiency plays a crucial role in the modern pathogenesis of hypertension. Both hypertension and chronic low back pain are closely associated with kidney deficiency in TCM theory, revealing a potential mechanism linking the two conditions. Combining the theories of " kidney-essence-marrow" and " nourishing water to moisten wood", a therapeutic strategy centered on tobifying kidney was proposed, including selecting single drugs with kidney-tonifying effects as well as compound formulations and elaborating modern research evidence. The aim is to achieve stable blood pressure control in hypertension patients with chronic low back pain while providing a new treatment perspective for chronic low back pain. This article systematically elaborates on the understanding of hypertension combined with chronic low back pain from both TCM and modern medicine, as well as the therapeutic strategy involving kidney-tonifying drugs, to offer useful references for clinical practice.
Humans ; Hypertension/complications* ; Low Back Pain/complications* ; Drugs, Chinese Herbal/therapeutic use* ; Kidney/drug effects* ; Medicine, Chinese Traditional ; Chronic Pain/drug therapy*

Purpose: Interviews play a crucial role in the medical school selection process, although little is known about interviewers’ non-verbal observable communications (NoVOC) during the interviews. This study investigates how interviewers perceive NoVOC exhibited by interviewees in two medical schools, one in Taiwan and the other in Australia. The study also explores potential cross-cultural differences in these perceptions. Methods: A 26-item questionnaire was developed using a Delphi-like method to identify NoVOC. Interviewers from the University of New South Wales, Australia, and National Yang Ming Chiao Tung University, Taiwan (n=47 and N=78, respectively) rated these NoVOC between 2018 and 2021. Factor analyses identified and validated underlying factors. Measurement invariance across countries and genders was examined. Results: A total of 125 interviewers completed the questionnaire, including 78 from Taiwan and 47 from Australia. Using exploratory factor analysis, 14 items yielded reliable three factors “charming,” “disengaged,” and “anxious” (Cronbach’s α=0.853, 0.714, and 0.628, respectively). The measurement invariance analysis indicated that the factor models were invariant across genders but significantly different between the two countries. Further analysis revealed inconsistencies in interpreting the “anxious” factor between Taiwan and Australia. Conclusion The three distinct factors revealed in this study provide valuable insights into the NoVOC that interviewers perceive and evaluate during the interview process. The findings highlight the importance of considering non-verbal communication in selecting medical students and emphasize the need for training and awareness among interviewers. Understanding the impact of non-verbal behaviors can improve selection processes to mitigate bias and enhance the fairness and reliability of medical student selection.

Purpose: Interviews play a crucial role in the medical school selection process, although little is known about interviewers’ non-verbal observable communications (NoVOC) during the interviews. This study investigates how interviewers perceive NoVOC exhibited by interviewees in two medical schools, one in Taiwan and the other in Australia. The study also explores potential cross-cultural differences in these perceptions. Methods: A 26-item questionnaire was developed using a Delphi-like method to identify NoVOC. Interviewers from the University of New South Wales, Australia, and National Yang Ming Chiao Tung University, Taiwan (n=47 and N=78, respectively) rated these NoVOC between 2018 and 2021. Factor analyses identified and validated underlying factors. Measurement invariance across countries and genders was examined. Results: A total of 125 interviewers completed the questionnaire, including 78 from Taiwan and 47 from Australia. Using exploratory factor analysis, 14 items yielded reliable three factors “charming,” “disengaged,” and “anxious” (Cronbach’s α=0.853, 0.714, and 0.628, respectively). The measurement invariance analysis indicated that the factor models were invariant across genders but significantly different between the two countries. Further analysis revealed inconsistencies in interpreting the “anxious” factor between Taiwan and Australia. Conclusion The three distinct factors revealed in this study provide valuable insights into the NoVOC that interviewers perceive and evaluate during the interview process. The findings highlight the importance of considering non-verbal communication in selecting medical students and emphasize the need for training and awareness among interviewers. Understanding the impact of non-verbal behaviors can improve selection processes to mitigate bias and enhance the fairness and reliability of medical student selection.

Purpose: Interviews play a crucial role in the medical school selection process, although little is known about interviewers’ non-verbal observable communications (NoVOC) during the interviews. This study investigates how interviewers perceive NoVOC exhibited by interviewees in two medical schools, one in Taiwan and the other in Australia. The study also explores potential cross-cultural differences in these perceptions. Methods: A 26-item questionnaire was developed using a Delphi-like method to identify NoVOC. Interviewers from the University of New South Wales, Australia, and National Yang Ming Chiao Tung University, Taiwan (n=47 and N=78, respectively) rated these NoVOC between 2018 and 2021. Factor analyses identified and validated underlying factors. Measurement invariance across countries and genders was examined. Results: A total of 125 interviewers completed the questionnaire, including 78 from Taiwan and 47 from Australia. Using exploratory factor analysis, 14 items yielded reliable three factors “charming,” “disengaged,” and “anxious” (Cronbach’s α=0.853, 0.714, and 0.628, respectively). The measurement invariance analysis indicated that the factor models were invariant across genders but significantly different between the two countries. Further analysis revealed inconsistencies in interpreting the “anxious” factor between Taiwan and Australia. Conclusion The three distinct factors revealed in this study provide valuable insights into the NoVOC that interviewers perceive and evaluate during the interview process. The findings highlight the importance of considering non-verbal communication in selecting medical students and emphasize the need for training and awareness among interviewers. Understanding the impact of non-verbal behaviors can improve selection processes to mitigate bias and enhance the fairness and reliability of medical student selection.

In recognition of the morbidity and mortality associated with human immunodeficiency virus (HIV), the Joint United Nations Programme on HIV/acquired immunodeficiency syndrome (AIDS) (UNAIDS) aims to end the epidemic by setting and striving to achieve the ambitious 95-95-95 targets. However, Singapore is still not performing well in the first UNAIDS target. The National HIV Programme (NHIVP) developed this set of recommendations based on an adaptation of major international guidelines from the World Health Organization and the US Centers for Disease Control and Prevention. The goals of this recommendation are: (1) to increase the uptake of HIV testing; (2) to allow earlier detection and identification of individuals with unrecognised HIV infection; (3) to facilitate linkage to clinical services; and (4) reduce further transmission of HIV infection in Singapore.
Humans ; Singapore/epidemiology* ; HIV Infections/epidemiology* ; United States ; HIV Testing ; Mass Screening ; World Health Organization ; Practice Guidelines as Topic ; Centers for Disease Control and Prevention, U.S. ; National Health Programs

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Copy number variation encompassing SNP plays an important role in IVD and precision medi-cine.As the most commonly used method,FISH could not overcome the probe cross-reactivity which is common when to detect SNP.Here we developed a quantitative and qualitative method on copy number variation encompassing SNP.In this study,the rs76711854 was used as an example to establish a quanti-tative method by advantage of probe cross-reactivity.The fragment encompassing rs76711854 and its downstream to 9 514 bp were amplified by PCR.The allelic genotypes were verified by Sanger sequen-cing.Different probes with or without cross-reactivity to be used via quantitative real-time PCR and digit-al PCR.The different clusters(2D)and fluorescence intensity layers(1D)exist by adding probe with cross-reactivity.The A/G ratio measured by digital PCR is 2︰1,which is verified by probe targeting to the SNP.The copy-number variant exists in the 9kb-long fragment upstream to the SNP of prostate cancer cell line but not in human endometrial adenocarcinoma cell line Ishikawa.The data suggest that there is a multi-copy variation at this locus in DU145 cells.The method applied here is based on one single cross-reactivity probe via digital PCR.