Objective: To explore the latent profile characteristics of regulatory emotional self-efficacy and its relationship with non-suicidal self-injurious (NSSI) behavior among junior and senior high school students, so as to provide a basis for effectively reducing NSSI behaviors. Methods: From April to October 2023, a total of 1 217 junior and senior high school students were selected from Tongren City, Zunyi City and Qiannan Prefecture of Guizhou Province by stratified cluster random sampling method. The Scale of Regulatory Emotional Self-efficacy and the Adolescent Self-injury Scale were administered. Latent profile analysis (LPA) was employed to explore distinct profiles of regulatory emotional self-efficacy, and the Lanza, Tan, and Bray s method (LTB) was used to analyze the relationship between these profiles and NSSI behavior. Results: The prevalence rate of NSSI behavior among junior and senior high school students was 28.6%. Among males, regulatory emotional self-efficacy was categorized into two types: moderate positive expression-low negative management group (59.1%, n =353) and high efficacy group (40.9%, n =244); among females, regulatory emotional self-efficacy was classified into three categories: low efficacy group (18.4%, n =114), high positive expression-low negative management group (56.3%, n =349), and high efficacy group (25.3%, n =157). There were statistically significant differences in total NSSI scores across different potential categories of regulatory emotional self-efficacy within both males and females ( Z/H = -5.75 , 57.58, both P <0.01). The differences in NSSI prevalence rates across the potential categories of regulatory emotional self-efficacy were statistically significant for both males and females ( χ 2=38.00, 69.14, both P <0.01), and among females, the differences in NSSI prevalence rates between the high efficacy group and the low efficacy group ( χ 2=60.01) and between the high efficacy group and the high positive expression-low negative management group ( χ 2=31.34) were also statistically significant (both P < 0.016 7 ). Binary Logistic regression analysis revealed that, compared with the high efficacy group within each gender, the moderate positive expression-low negative management group among males ( OR =2.36), and both the low efficacy group and the high positive expression-low negative management group among females ( OR =6.19, 2.97), were at an increased risk of engaging in NSSI (all P <0.01). Conclusion Different latent profiles of regulatory emotional self efficacy among junior and senior high school students are associated with NSSI behavior.

Objective To investigate the relationship between the comorbidity of dyslipidemia, hypertension and diabetes and lifestyle of adult residents in Hebei Province in 2018, and to provide reference for the development of chronic diseases prevention measures. Methods Using data from the surveillance of chronic diseases and their risk factors among adults in Hebei in 2018, 7 711 permanent residents aged ≥18 years were selected as the research subjects. Multivariate logistic regression analysis was used to analyze the relationship between the comorbidity of dyslipidemia, hypertension, and diabetes and lifestyle in adult residents. Results A total of 7 711 subjects aged ≥18 years were included in 2018. The comorbidity rates of hypertension and dyslipidemia, diabetes and dyslipidemia, and hypertension and diabetes were 16.88%, 7.91%, and 8.13%, respectively. The comorbidity rate of hypertension, diabetes, and dyslipidemia was 22.65%. These comorbidity rates increased with age and BMI. Multivariate logistic regression results showed that male, age, overweight/obesity, physical inactivity, daily sedentary behavior time ≥5 hours, and sleep problems were risk factors for the comorbidity of the "three highs". Conclusion The prevalence of the "three highs" comorbidities is relatively high in Hebei Province, and there are multiple common risk factors. Maintaining a healthy lifestyle and implementing comprehensive prevention and control measures are the key to improving the health level of residents.

ObjectiveBy exploring the influencing factors of readmission in patients with stable angina of coronary heart disease （CHD） based on real-world clinical data， to establish a risk prediction model of integrated traditional Chinese and western medicine， in order to provide a basis for early identification of high-risk populations and reducing readmission rates. MethodsA prospective clinical study was conducted involving patients with stable angina pectoris of CHD， who were divided into a training set and a validation set at a 7∶3 ratio. General information， traditional Chinese medicine （TCM）-related data， and laboratory test results were uniformly collected. After a one-year follow-up， patients were classified into a readmission group and a non-readmission group based on whether they were readmitted. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for readmission. A risk prediction model of integrated traditional Chinese and western medicine was constructed and visualized using a nomogram. The model was validated and evaluated in terms of discrimination， calibration， and clinical decision curve analysis. ResultsA total of 682 patients were included， with 477 in the training set and 205 in the validation set， among whom 89 patients were readmitted. Multivariate logistic regression analysis identified heart failure history ［OR = 6.93， 95% CI （1.58， 30.45）］， wiry pulse ［OR = 2.58， 95% CI （1.42， 4.72）］， weak pulse ［OR = 3.97， 95% CI （2.06， 7.67）］， teeth-marked tongue ［OR = 4.38， 95% CI （2.32， 8.27）］， blood stasis constitution ［OR = 2.17， 95% CI （1.06， 4.44）］， phlegm-stasis mutual syndrome ［OR = 3.64， 95% CI （1.87， 7.09）］， and elevated non-high-density lipoprotein cholesterol ［OR = 1.30， 95% CI （1.01， 1.69）］ as influencing factors of readmission. These factors were used as predictors to construct a nomogram-based risk prediction model for readmission in patients with stable angina. The model demonstrated moderate predictive capability， with an area under the receiver operating characteristic curve （AUC） of 0.818 ［95% CI （0.781， 0.852）］ in the training set and 0.816 ［95% CI （0.779， 0.850）］ in the validation set. The Hosmer-Lemeshow test showed good calibration （χ² = 4.55， P = 0.80）， and the model's predictive ability was stable. When the threshold probability exceeded 5%， the clinical net benefit of using the model to predict readmission risk was significantly higher than intervening in all patients. ConclusionHistory of heart failure， teeth-marked tongue， weak pulse， wiry pulse， phlegm-stasis mutual syndrome， blood stasis constitution， and non-high-density lipoprotein cholesterol are influencing factors for readmission in patients with stable angina of CHD. A clinical prediction model was developed based on these factors， which showed good discrimination， calibration， and clinical utility， providing a scientific basis for predicting readmission events in patients with stable angina.

Depression is a common psychiatric disorder characterized by persistent low mood or mental disorders. Current treatments primarily focus on regulating neurotransmitter levels， but their effectiveness is limited. The mechanisms underlying its onset are complex， and there is no unified consensus. Abnormal signaling pathway transmission plays a crucial role in the development of depression， involving multiple pathways， including Toll-like receptor 4/nucleotide-binding oligomerization domain-like receptor protein 3 （TLR4/NLRP3）， nuclear factor-κB （NF-κB）， Janus kinase/signal transducer and activator of transcription （JAK/STAT）， mitogen-activated protein kinase/extracellular signal-regulated kinase （MAPK/ERK）， brain-derived neurotrophic factor/tyrosine kinase receptor B （BDNF/TrkB）， cyclic AMP/protein kinase A/cAMP response element-binding protein （cAMP/PKA/CREB）， and others. Traditional Chinese medicine（TCM） is based on a holistic approach and the principle of treatment based on the differentiation of syndromes， regulating the balance of multiple systems and organ functions from a macroscopic perspective. This approach has shown unique advantages in the treatment of depression. TCM attributes the onset of depression to dysfunction of the organ systems， involving liver Qi stagnation， heart spirit deficiency， kidney essence depletion， and spleen dysfunction. TCM compound treatments focus on soothing the liver， strengthening the spleen， calming the heart， and replenishing essence， with formulas such as Xiaoyaosan， Zishui Qinggan Yin， and Chahu Jia Guizhi Longgu Muli Tang. The active components of Chinese herbs mainly aim to tonify and regulate Qi， such as salidroside， ginsenoside Rb₁， astragaloside， and muscone. External TCM treatments， primarily acupuncture， aim to open the orifices and invigorate the spirit. Acupoints such as Baihui， Shenting， and Yintang are commonly used. Additionally， massage and moxibustion therapy can intervene in depression by regulating signaling pathways. This article reviews the core role of signaling pathways in the development of depression and the mechanism of TCM regulation of signaling pathways to intervene in depression， aiming to discover new therapeutic approaches that can improve the symptoms of depressed patients.

OBJECTIVE: To explore the prenatal features and genetic etiology of a fetus with Short-rib cage dysplasia (SRTD) due to variants of DYNC2H1 gene. METHODS: A pregnant women presented at Xinxiang Central Hospital in June 2020 for abnormal prenatal ultrasound findings was selected as the study subject. With informed consent obtained, amniotic fluid sample was extracted from the woman, and clinical data of the fetus were collected. Whole exome sequencing (WES) was carried out, and candidate variants were verified by Sanger sequencing. This study was approved by the Medical Ethics Committee of Xinxiang Central Hospital [Ethics No.: 2025-214-01(K)]. RESULTS: At 25⁺⁶ weeks gestation, genetic testing revealed that the fetus has harbored compound heterozygous variants of the DYNC2H1 gene, namely c.10585C>T (p.Arg3529Ter) and c.8954T>G (p.Val2985Gly), which were derived from its father and mother, respectively. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the c.10585C>T (p.Arg3529Ter) and c.8954T>G (p.Val2985Gly) variants were classified as pathogenic (PVS1+PM2_supporting+PM3+PP5) and likely pathogenic (PM1+PM2_supporting+PM3+PP3), respectively. Bioinformatics analysis suggested that both variants may affect the 3D structure of the DYNC2H1 protein. CONCLUSION The compound heterozygous variants of c.10585C>T (p.Arg3529Ter) and c.8954T>G (p.Val2985Gly) of the DYNC2H1 gene probably underlay the pathogenesis of SRTD in the fetus. Above findings had facilitated prenatal diagnosis and genetic counseling for the couple.
Humans ; Female ; Pregnancy ; Cytoplasmic Dyneins/chemistry* ; Prenatal Diagnosis ; Adult ; Short Rib-Polydactyly Syndrome/diagnostic imaging* ; Mutation ; Exome Sequencing ; Fetus/abnormalities* ; Ultrasonography, Prenatal

[Objective]To explore the etiology,pathogenesis and treatment principles of multiple sclerosis(MS)based on the theory of collateral diseases in traditional Chinese medicine(TCM).[Methods]By analyzing ancient and modern literature on TCM concepts such as"collateral diseases"and"atrophy syndromes",and integrating modern medical research on the biological mechanisms of MS treatment,this study summarizes the approach to diagnose and treat MS based on the theory of collateral diseases,supported by a case example.[Results]The collaterals are the units for the distribution of blood and Qi,which,through the coordination of meridian Qi flow and the balance of nutrient and defensive Qi,plays a role in distributing blood,Qi and body fluids,and nourishing the meridians and viscera.The physiological characteristics of the collaterals determine that they become sites for the invasion,concealment and development of pathogenic factors.Analysis based on the theory of collateral diseases suggests that damp-heat stagnation,essence deficiency and blood stasis in the collaterals are the underlying mechanisms for the complex clinical manifestations of MS.Treatment principles proposed include strengthening the spleen and promoting diuresis to clear dampness,harmonizing the liver and kidneys to nourish the collaterals,and promoting the circulation of Qi and blood to unblock the collaterals.The attached test case belonged to the impotence of liver and kidney deficiency,treated by supplementing the liver and kidney,warm and smooth meridians,and achieved better curative effect.[Conclusion]The theory of collateral diseases,as an important part of the meridian and collateral system in TCM,holds broad prospects in the treatment of neurological diseases.It can provide methods and ideas for the theoretical research and clinical treatment of MS with TCM.

This paper explored the significance and value of building a doctor-patient narrative community in clinical practice.It was clarified that clinical practice guided by evidence-based medicine thinking is essentially a"narrative"process:patients narrate their illness stories,and doctors,through a series of humanistic narrative practices,strengthen trust and empathy between patients and doctors on an emotional and ethical level,while bridging cognitive gaps,enhancing diagnostic and treatment outcomes,and ultimately fostering a harmonious and efficient doctor-patient narrative community relationship.The realization of a doctor-patient narrative community not only optimizes the treatment process but also enhances patients'self-efficacy and doctors'professional satisfaction,which is conducive to saving medical costs,optimizing public health governance,and highlighting a harmonious social atmosphere.

Objective:To analyze differences in the expression of routine laboratory parameters and cerebrospinal fluid (CSF) examination indicators between patients with non-neurosyphilis (syphilis without nervous system involvement) and those with neurosyphilis, to screen for key predictive factors, and to construct a predictive model for neurosyphilis.Methods:A retrospective analysis was conducted on the clinical data from patients with syphilis at the Fifth People's Hospital of Suzhou from 2019 to 2024. Patients with neurosyphilis and non-neurosyphilis who were hospitalized from November 2019 to June 2022 were included in the model cohort, and those hospitalized from January 2024 to October 2024 were included in the validation cohort. The patients' basic information and laboratory test indicators (including routine blood tests, CSF biochemical analysis, and syphilitic antibody tests) were collected. Statistical analysis was performed using the GraphPad software. The receiver operating characteristic (ROC) curve and the binary logistic regression method were used to analyze the predictive performance of key indicators in patients from the model cohort with SPSS software, and a predictive model for neurosyphilis was constructed. The performance of the neurosyphilis predictive model for neurosyphilis was validated based on relevant indicators from the validation cohort.Results:The model cohort included 99 patients with non-neurosyphilis (including 49 males and 50 females), and they were aged between 19 and 85 years, with an average age of 47 years; 69 patients with neurosyphilis were also included in the model cohort, including 58 males and 11 females, and they were aged between 26 and 73 years, with an average age of 51 years. The neurosyphilis group showed a significant increase in the median levels of CSF adenosine deaminase (1 U/L) and microprotein (711 mg/L), white blood cell counts (0.009 × 10?/L), as well as in the proportion of positive Pandy tests (35/69, 50.7%) compared with the non-neurosyphilis group (0 U/L, 309 mg/L, 0.002 × 10?/L, 2 /99 [2.0%], respectively, all P < 0.001). Based on the ROC curve analysis, the CSF microprotein and white blood cell count had relatively high discriminative ability (area under the ROC curve [AUC] > 0.85), while adenosine deaminase and the Pandy test showed moderate discriminative ability (0.7 < AUC < 0.85). According to the above four indicators, the logistic regression analysis showed that CSF microprotein combined with CSF white blood cell counts could construct the best predictive model for neurosyphilis, with a prediction accuracy rate of 0.980, a sensitivity of 98.5%, and a specificity of 89.9%. The prediction formula was logit (p) = -9.926 + 0.015 × microprotein + 362.33 × CSF white blood cell count, with a cutoff value of ≥ -0.867. The validation cohort enrolled 72 patients with non-neurosyphilis and 51 with neurosyphilis, and there were significant differences in CSF microprotein levels and white blood cell counts between the two groups (both P < 0.001). In the validation cohort, the predictive model demonstrated an accuracy of 86.2%, with a sensitivity of 83.6% and a specificity of 91.1% for predicting neurosyphilis. Conclusion:The predictive model for neurosyphilis constructed by combining CSF microprotein and CSF white blood cell count may contribute to the early differential diagnosis of neurosyphilis.

Objective:To analyze the prevalence of chronic kidney disease (CKD) and influencing factors of adults in Hebei Province, and provide scientific evidence for the development of comprehensive CKD prevention and control strategies.Methods:In China Adult Chronic Disease and Nutrition Surveillance in Hebei in 2018, a total of 7 562 permanent residents aged ≥18 years were selected by multi-stage stratified cluster random sampling from 13 surveillance points in Hebei for questionnaire survey, medical examination and laboratory test.Results:A total of 1 067 CKD patients were detected in the adults aged ≥18 years in this survey, with a weighted prevalence rate of 12.10%. The results of multivariate analysis showed that the daily total static behavior time ( OR=1.07, 95% CI: 1.04-1.09), living in rural area ( OR=1.50, 95% CI: 1.14-1.97), coal use ( OR=1.37, 95% CI: 1.16-1.61), coal gas/liquefied gas/natural gas/biogas use ( OR=2.92, 95% CI: 2.40-3.54) and solar energy/electricity use ( OR=1.75, 95% CI: 1.36-2.25), insufficient fruit intake ( OR=1.39, 95% CI: 1.06-1.83), insufficient physical activity ( OR=1.35, 95% CI: 1.11-1.64), suffering from hypertension ( OR=1.80, 95% CI: 1.44-2.24) and suffering from diabetes ( OR=1.77, 95% CI: 1.27-2.45) were risk factors for CKD in adults in Hebei. High education level ( OR=0.41, 95% CI: 0.19-0.91), excessive drinking ( OR=0.53, 95% CI: 0.28-0.99), central obesity ( OR=0.75, 95% CI: 0.58-0.97), history of allergic diseases ( OR=0.44, 95% CI: 0.27-0.72) were protective factors for CKD. Conclusions:The prevalence of CKD in adults in Hebei was relatively high, especially in those who had too long average daily static behavior, lived in rural area, used coal, gas/liquefied gas/natural gas/biogas, solar energy/electricity, had inadequate intake of fruits, lacked physical activity and suffered from hypertension and diabetes. It is necessary to pay attention to the early prevention and treatment of CKD, strengthen the health education about healthy lifestyle and improve the management of patients with chronic disease, such as hypertension and diabetes, to further reduce the risk for CKD.

Objective:To analyze the effect of precipitation on road traffic injuries (RTI) in Zhejiang Province.Methods:The RTI surveillance and meteorological data from 2009 to 2022 in Zhejiang Province were collected. Based on the time-stratified case-crossover design, the precipitation of case day and control day was compared, and the distributed lag nonlinear model was applied to analyze the correlation of precipitation and RTI. Stratified analyses were conducted to analyze the effect modification of gender, age, injury location, and temperature. An attributable fraction was used to assess the burden of RTI caused by precipitation.Results:A total of 239 970 RTIs were monitored in Zhejiang Province from 2009 to 2022, averaging 46 daily cases. The distributed lag nonlinear model showed that compared with no rain, the risk of RTI increased first and then decreased with the increase of precipitation. The risk of RTI was the highest when the precipitation was 30.99 mm ( OR=1.08, 95% CI: 1.05-1.11). The adverse effects on RTI mainly occurred on the day of precipitation, and it showed insignificant or protective effects with the extension of lag days. 1.34%(95% CI: 1.31%-1.36%) of RTI could be attributed to precipitation. Stratified analysis showed that gender, age, injury location, and temperature may modify the effect of precipitation on RTI. Precipitation caused a heavier burden on RTI in subgroups aged 18-64, females, and occurring on roads and in low temperatures. Conclusions:Precipitation can increase the risk of RTI. People aged 18-64 or females are the key groups for RTI prevention, and prevention and control efforts of precipitation-related RTI should be increased in road and low-temperature environments.