Objective:To explore the effect of acceptance and commitment therapy matrix(ACT Matrix)for somatic symptoms associated with pre-exam anxiety in a high school student.Methods:An 8-session intervention was conducted,conceptualized by the ACT Matrix.The comprehensive assessment of Acceptance and Commitment Therapy processes(CompACT)and the evaluation of inverted U-shaped pressure curve were used for pre-and post-assessment.Results:The client's CompACT score increased from 56 to 71,and his stress level score decreased from 9 to 6.The client's somatic symptoms were significantly alleviated,the sleep improved,the relationship with his par-ents enhanced.Furthermore,The client exceeded expectation in the final semester exam.Conclusion:ACT Matrix effectively alleviated pre-exam anxiety-related somatic symptoms in a high school student,which is a useful tool to guide and facilitate the counseling.

Objective:To design an assisted management system for medical consumables that integrated management logic of diagnosis related groups(DRG)for disease,so as to standardize the use for medical consumables and to strengthen regulatory efficiency.Methods:The system was designed by a microservices architecture,and the data fusion of business data,data of diagnosis and treatment,and DRG data was realized through constructed data lake.A knowledge graph of associated rule for medical consumables was established,and the intelligent analysis function included prediction for demand,usage optimization,and anomaly detection was provided to assist management decision-making on the basis of inference for historical data and knowledge,and multi-dimensional data queries.A rule engine was deployed at key clinical nodes for real-time compliance review and intelligent alerts.A DRG-based business management process was constructed to cover full lifecycle of consumables,including admission,procurement,warehousing,storage,requisition,usage billing,and traceability,so as to realize real-time monitoring and early warning for consumable costs at the DRG level.Six clinical doctors with 2-3 years of experience in using medical consumable were selected as test users from Tangdu Hospital of the Air Force Medical University,and they were randomly assigned into a system group and a control group,with 3 subjects in each group.The system group utilized the auxiliary management system for medical consumable to perform prediction for the demand of monthly procurement,and rationality verification of consumable.The control group relied on individual experience of doctors.The predicted monthly procurement demand for medical consumables,the accuracy of verifying rationality of using medical consumables between two groups were compared,and the efficiencies of two kinds of management modes also were compared.Results:The accuracy rate of system group was 89.17%in predicting the monthly procurement demand for medical consumables,and the rate of checking accuracy and the rate of checking comprehensiveness of system group were respectively 87.50%and 91.67%in verifying rationality of using medical consumables,which were significantly higher than those of control group,and the differences were significant(x2=6.62,1.96,16.73,P<0.05).The durations of predicting the demand for procurement,and verifying and testing the rationality of consumables in system group were significantly shorter than these in control group[(3.54±0.45)s,(2.23±0.15)s],and the differences were statistically significant(t=1.97,1.65,P<0.05).Conclusion:The medical consumables auxiliary management system integrated with DRG management logic can significantly enhance the accuracy of monthly demand prediction for consumables and the recall rate and precision rate of rationality verification for consumables usage,while greatly improving work efficiency.It is conducive to enhancing the standardized and refined supervision level of consumables usage.

Extensive studies have identified potential adverse effects on semen quality of obesity, based on body mass index, but the association between body fat distribution, a more relevant indicator for obesity, and semen quality remains less clear. We conducted a longitudinal study of 4304 sperm donors from the Guangdong Provincial Human Sperm Bank (Guangzhou, China) during 2017-2021. A body composition analyzer was used to measure total and local body fat percentage for each participant. Generalized estimating equations were employed to assess the association between body fat percentage and sperm count, motility, and morphology. We estimated that each 10% increase in total body fat percentage (estimated change [95% confidence interval, 95% CI]) was significantly associated with a 0.18 × 10 6 (0.09 × 10 6 -0.27 × 10 6 ) ml and 12.21 × 10 6 (4.52 × 10 6 -19.91 × 10 6 ) reduction in semen volume and total sperm count, respectively. Categorical analyses and exposure-response curves showed that the association of body fat distribution with semen volume and total sperm count was stronger at higher body fat percentages. In addition, the association still held among normal weight and overweight participants. We observed similar associations for upper limb, trunk, and lower limb body fact distributions. In conclusion, we found that a higher body fat distribution was significantly associated with lower semen quality (especially semen volume) even in men with a normal weight. These findings provide useful clues in exploring body fat as a risk factor for semen quality decline and add to evidence for improving semen quality for those who are expected to conceive.
Humans ; Male ; Adult ; Semen Analysis ; China ; Body Fat Distribution ; Longitudinal Studies ; Sperm Count ; Sperm Motility ; Body Mass Index ; Tissue Donors ; Obesity/complications* ; Spermatozoa ; Young Adult ; Middle Aged ; East Asian People

Objective:To establish an arsenic free fully automatic online digestion iodine analyzer detection method for urinary iodine (hereinafter referred to as the method).Methods:Based on the principle of iodine catalyzed antimony cerium redox reaction, a fully automatic online digestion iodine analyzer was used to determine the iodine content in urine. The effectiveness of the method in terms of detection limit, precision, accuracy (determination of urinary iodine primary standard reference materials GBW09108z and GBW09110f and spiked recovery experiment), and interference experiments was validated. The method was compared with the arsenic cerium catalytic spectrophotometry method recommended by the National Reference Laboratory for Iodine Deficiency Disorders.Results:The linear range of the method was 0 - 300 μg/L, with a correlation coefficient │ r│> 0.999 5. The qualitative and quantitative detection limits were 7.41 and 18.01 μg/L, respectively. The relative standard deviation ( RSD) of urine samples with different iodine concentrations ranged from 1.0% to 1.7%. The results of the determination of iodine concentrations in urine using standard substances GBW09108z and GBW09110f were within the given standard range, with RSD < 2.5%. The range of spiked recovery rates for urine samples with different iodine concentrations was 101.3% to 104.8%, with an overall average spiked recovery rate of 103.0%. The average concentration of the baseline iodine standard solution was determined to be 116.21 μg/L, and the relative error of the concentration determination with the addition of interfering substances was less than 5.0%. The comparison results showed that there was no statistically significant difference in the measurement results between the two methods ( t = - 0.06, P = 0.952). Conclusions:The method adopts automated detection, which is simple to operate, labor-saving, and does not require the use of arsenic trioxide. It has high precision and accuracy, and is suitable for detection of large quantities of samples.

Objective:To explore the correlation between the lesion imaging characteristics and the parent artery plaques detected by high-resolution magnetic resonance imaging (HR-MRI) in patients with recent small subcortical infarction (RSSI) in the lenticulostriate artery territory with mild stenosis of the parent artery.Methods:Consecutive patients with RSSI in the lenticulostriate artery territory admitted to Department of Neurology, the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2022 were prospectively enrolled. Patients with stenosis of <50% in the ipsilateral middle cerebral artery (MCA) who had completed HR-MRI were included. The RSSI lesion characteristics, such as the lowest slice involved (LS), total number of slices involved (TNS) were evaluated based on serialized axial levels of diffusion weighted imaging. HR-MRI was utilized to assess the presence of dorsal superior plaques in the M1 segment of the responsible MCA. Patients were divided into plaque group and non-plaque group based on the presence or absence of plaque. Logistic regression analysis was carried out to identify the lesion characteristics associated with the presence of dorsal superior plaques in the MCA. A receiver operating characteristic (ROC) curve was employed to estimate the predictive efficacy of these parameters for MCA plaques using the area under the curve (AUC) and the optimal cut-off point.Results:A total of 112 patients were incorporated into the final analysis. The age of these patients was (57.08±11.90) years, and 78 patients (69.64%) were male. Plaques were detected on the dorsal superior wall of the MCA in 57 cases (50.89%) as the plaque group, and the other 55 cases (49.11%) were regarded as the non-plaque group. Multivariate Logistic regression revealed that LS was significantly associated with MCA plaques ( OR=0.674, 95% CI 0.485-0.937, P=0.019). The optimal cut-off point (LS≤1) was determined by ROC curve analysis (AUC=0.640, P=0.007). Conclusion:The findings suggest that in RSSI patients with mild stenosis of the parent artery, an LS≤1 is notably associated with the presence of dorsal superior plaques on MCA as detected by HR-MRI.

Objective:To investigate the diagnostic value of plasma cytokines such as interleukin (IL)-2, IL-6 and interferon (IFN)-γ in non-Hodgkin lymphoma (NHL).Methods:A retrospective case-control study was conducted. A total of 48 NHL patients admitted to the Second Affiliated Hospital of Xuzhou Medical University between January 2020 and December 2022 were selected as NHL group, and another 34 healthy people who underwent physical examimation during the same period were selected as the healthy control group. The levels of IL-2, IL-4, IL-6, IL-10, IL-17, tumor necrosis factor (TNF) - α and IFN-γ in the plasma of patients at first admission and healthy subjects during physical examination were detected by using flow cytometry. The differences in general data and all cytokines levels of both groups were compared. The collinearity stepwise screening was made in 7 cytokines levels, and the screened variables were included in multivariate binary logistic regression model. Plasma cytokines with independent effects on the pathogenesis of NHL were screened. Taking local biopsy, histopathological examination or immunohistochemical examination as the gold standard, the receiver operating characteristic (ROC) curves of individual and combined diagnosis of NHL based on the selected cytokines were drawn to judge the diagnostic effect of all indicators on NHL.Results:There were 32 males (66.7%) and 16 females (33.3%) in NHL group, with the median age [ M ( Q1, Q3)] of 56.50 (45.75, 67.50) years; there were 28 males (82.4%) and 6 females (17.6%) in the healthy control group, with the median age of 52.00 (47.50, 55.50) years. There were no statistically significant differences in age and gender composition between the 2 groups (all P > 0.05). The levels of IL-2 [1.44 (1.36, 1.85) pg/ml vs. 1.19 (0.86, 1.68) pg/ml] and TNF-α [3.46 (2.68, 4.06) pg/ml vs. 2.23 (1.52, 3.46) pg/ml] in NHL group were higher than those in the healthy control group, and the differences were statistically significant (all P < 0.05). There were no statistically significant differences in IL-4, IL-6, IL-10, IL-17, IFN-γ levels (all P > 0.05). According to collinear stepwise screening of independent variables, IL-4 and TNF-α were excluded from 7 cytokines, and the other 5 cytokines were included in multivariate logistic regression model, and the result showed that the decreased level of IL-2 ( OR = 0.20, 95% CI: 0.08-0.53, P = 0.001) and the increased levels of IL-6 ( OR = 1.18, 95% CI: 1.04-1.33, P = 0.009) and IFN-γ ( OR = 1.26, 95% CI: 1.08-1.46, P = 0.003) were independent risk factors for the onset of NHL. The results showed that the area under the curve of IL-2, IL-6, IFN-γ and the combination of 3 indexes for the diagnosis of NHL was 0.760 (95% CI: 0.651-0.870), 0.595 (95% CI: 0.468-0.722), 0.508 (95% CI: 0.373-0.642), 0.847 (95% CI: 0.763-0.930), and the optimal cut-off value of the combination of 3 indexes was 0.730 which was calculated by logistic regression model formula; the corresponding sensitivity and specificity were 70.2% and 94.1%, respectively. Conclusions:The decreased level of IL-2 and increased levels of IL-6 and IFN-γ at initial diagnosis are risk factors for the onset of NHL. The combined detection of the 3 indexes shows a good value in the diagnosis of NHL.

Objective To investigate the correlation between the inflammatory burden index(IBI)and major adverse cardiovascular events(MACEs)in patients with ST-segment elevation myocardial infarction(STEMI)after percutaneous coronary intervention(PCI),and to assess the efficacy of IBI in predicting in-hospital and long-term MACEs.Methods This retrospective study included 465 STEMI patients who received PCI treatment in No.904 Hospital of Joint Logistics Support Force of PLA from Dec.2017 to Dec.2021.The IBI was calculated for each patient.The predictive value for in-hospital and long-term MACEs was evaluated using receiver operating characteristic(ROC)curves,and the area under curve(AUC)was calculated.The population was grouped based on the optimal IBI cut-off value for clinical characteristic analysis.Multivariate logistic regression and Cox regression analyses were used to identify factors independently associated with MACEs.The Kaplan-Meier estimator and log-rank test were used to assess the MACE risk of different IBI groups.Results The AUC value for predicting MACEs during hospitalization in STEMI patients using IBI was 0.687,and the AUC value for predicting long-term MACEs was 0.634.Multivariate logistic regression analysis revealed that a high IBI 102.33 mg/L)independently increased the risk of MACEs during hospitalization in STEMI patients(odds ratio=10.900,95％confidence interval[95％CI]4.273-29.180,P＜0.001).Multivariate Cox regression analysis further indicated that during long-term follow-up of STEMI patients,a high IBI(≥55.88 mg/L)independently predicted MACEs(hazard ratio=1.989,95％CI 1.128-3.506,P=0.018).Conclusion IBI is a valuable predictor for the occurrence of MACEs during hospitalization and long-term follow-up after PCI in STEMI patients.

Objective Sleep is an important physiological process for maintaining normal cognitive functions,but with the accelerated pace and increased work pressure in modern society,sleep deprivation has become a common phenomenon.It has been shown that sleep deprivation interferes with higher cognitive functions such as working memory,but the specific mechanism of its effect is still not completely clear.The present study aimed to systematically investigate the effects of 36 hours of sleep deprivation on the stages of the working memory processing chain and its neural mechanisms through behavioral and event-related potential(ERP)techniques.Methods Using a randomized controlled experimental design,48 healthy adult subjects were recruited and randomly assigned to sleep deprivation and control groups.All subjects completed a 2-back phonological working memory task,and behavioral data(response time and correctness)and ERP data(P2,N2,and P3 component wave amplitudes)were collected at 0 and 36 hours,respectively.The effects of sleep deprivation on working memory behavioral performance and neurophysiological indices were assessed by ANOVA.Results Behavioral results showed that the sleep deprivation group had a significantly longer response time after 36 hours,but no significant decrease in correctness,indicating a decrease in response efficiency but stable accuracy.ERP results showed that P2 amplitude did not change significantly before and after sleep deprivation,indicating that the early perception and categorization stages were limitedly affected by sleep deprivation;whereas,N2 and P3 amplitudes decreased significantly after sleep deprivation,reflecting that later cognitive processing such as conflict monitoring and resource allocation and other late cognitive processing were significantly disturbed.Conclusion Through ERP technology,this study uncovers the phased impact of 36-hour sleep deprivation on the working memory processing chain.The study found that early perceptual and categorization stages may be less susceptible to the effects of sleep deprivation,likely due to their relatively automatic processing and lower demand for cognitive resources.In contrast,during later stages of cognitive processing,particularly in higher-order functions such as conflict monitoring and resource allocation,sleep deprivation significantly impaired task performance efficiency by disrupting prefrontal cortex function.This finding deepens the understanding of the mechanisms underlying the effects of sleep deprivation and provides a scientific basis for cognitive intervention and management strategies in high-stress occupational groups.Future studies can further explore the long-term effects of sleep deprivation and its neural mechanisms by combining multimodal techniques.

Objective:To investigate the association of blood lipids and body mass index (BMI) with hyperuricemia (HUA) in the elderly.Methods:It was a cross-sectional study. A total of 114 391 elderly individuals received health examinations at primary healthcare institutions in Wujin District from January to December in 2022. The health examination included questionnaire survey, physical examination and laboratory examination. The multivariate logistic regression and restricted cubic spline (RCS) plots were used to analyze the association and dose-response relationship of blood lipid and BMI with HUA. The mediating effect model was used to explore the mediation effect of BMI on the association between blood lipid and HUA.Results:Among the 112 415 subjects, 18 506 (16.46%) were checked with HUA. After adjusting for relevant confounders, total cholesterol (TC) ( OR=1.20, 95% CI: 1.16-1.23), triglyceride (TG) ( OR=1.46, 95% CI: 1.44-1.49), high density lipoprotein cholesterol (HDL-C) ( OR=0.74, 95% CI: 0.73-0.76), low density lipoprotein cholesterol (LDL-C) ( OR=1.14, 95% CI: 1.12-1.15) and BMI ( OR=1.42, 95% CI: 1.39-1.44) were all associated with HUA (all P0.05). The RCS analysis revealed that TG, HDL-C, and LDL-C each exhibited a nonlinear dose-response relationship with HUA, the inflection points was 3.00 mmol/L, 1.57 mmol/L and 2.50 mmol/L, respectively (all P-nonlinear0.001). The results of interaction showed that there were additive interaction between high TC( S=1.27 , 95% CI: 1.17-1.37), high TG( S=1.32 , 95% CI: 1.25-1.40), high LDL-C( S=1.23 , 95% CI: 1.14-1.34) and overweight/obesity with HUA (all P0.05). The results of mediation effect analysis showed that the mediation effect of BMI on the association between blood lipids (HDL-C, LDL-C, TG and TC) and HUA, from high to low, were as follows: 22.5% (95% CI: 20.8%-24.2%), 13.9% (95% CI: 12.0%-16.2%), 13.5% (95% CI: 12.7%-14.4%) and-3.9% (95% CI:-6.6%--1.8%). Conclusion:The blood lipid levels and BMI are positively correlated with HUA in the elderly.

This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*