The thyroid gland is the largest endocrine organ in the human body， and its dysfunction can cause varying degrees of liver injury， leading to liver failure in severe cases. Patients with hyperthyroidism have a relatively high incidence rate of liver dysfunction， manifesting as hepatocellular injury or cholestatic liver injury， while hypothyroidism is closely associated with metabolic dysfunction-associated fatty liver disease. Autoimmune thyroid diseases， including Hashimoto’s thyroiditis and subacute thyroiditis， are commonly comorbid with autoimmune liver disease. In addition， medications such as antithyroid drugs， amiodarone， and immune checkpoint inhibitors can cause severe liver injury through direct toxicity or immune-mediated mechanisms. Although significant progress has been achieved in related diagnosis and treatment techniques in recent years， there are still many challenges in pathogenesis， individualized treatment strategies， early warning， and prognostic evaluation. This article systematically reviews the research advances in liver injury associated with thyroid dysfunction and proposes the directions for future research， in order to provide guidance for clinical diagnosis and treatment.

Based on the interactive ritual chain theory， this paper deeply analyzed the interactive characteristics between doctors， patients， and their families in the palliative care environment， as well as explored the role of emotional resonance， symbolic representation， and situational creation in psychological support. It also sorted out four primary issues currently present in psychological support for palliative care patients， including insufficient recognition of caregivers regarding patients’ psychological needs， limited psychological intervention methods， inadequate psychological support capabilities among medical staff， and an imperfect family and social support system. On this basis， a five-dimensional psychological support mechanism was constructed， encompassing emotional resonance， situational creation， team collaboration， environment building， and technological application. This aimed to provide palliative care patients with comprehensive and continuous psychological intervention by optimizing doctor-patient interaction， strengthening emotional connection， improving physical environment， and utilizing information technology， thereby contributing to alleviating the psychological distress patients confront in the terminal stage and improving their life dignity and quality of life.

Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

OBJECTIVES: To investigate the ethnic origin of Chuanqing people, one of the largest unidentified ethnic groups in Guizhou, China, and analyze its genetic relationships with surrounding populations. METHODS: Based on a self-developed microhaplotype system, we conducted genotyping and analyzed the genetic distribution of microhaplotype loci and their forensic applicability in Chuanqing population in Guizhou Province. Using the microhaplotype data from different intercontinental populations and previously reported data from Han population living in Guizhou Province, we systematically investigated the genetic background of Chuanqing people through population genetic approaches, including genetic distance estimation, principal component analysis, and phylogenetic tree construction. RESULTS: Among the studied population, the number of haplotype per microhaplotype ranged from 6 to 25. The average expected heterozygosity (He), observed heterozygosity (Ho), power of discrimination (PD), and probability of exclusion (PE) were 0.8291, 0.8301, 0.9387, and 0.6593, respectively. The cumulative power of discrimination (CPD) and cumulative probability of exclusion (CPE) for these 33 loci were 1-2.62×10^-41 and 1-7.64×10^-17, respectively. Population genetic analyses revealed that the Chuanqing population had close genetic relationships with the East Asian populations, especially the local Guizhou Han population, Beijing Han population and the Han populations living in southern China. CONCLUSIONS The 33 microhaplotypes exhibit high levels of genetic diversity in the Guizhou Chuanqing population, highlighting their potentials for both forensic identification and parentage testing. The Han populations might have contributed a significant amount of genetic material to the Chuanqing population during the formation and development of the latter.
Humans ; China/ethnology* ; Ethnicity/genetics* ; Forensic Genetics/methods* ; Genetics, Population ; Genotype ; Haplotypes ; Phylogeny ; East Asian People/genetics*

Objective: To explore the influencing factors and pathways of suicidal ideation among children and adolescents with severe autism spectrum disorder (ASD), so as to provide references for clarifying the impact intensity and pathways of various factors on suicidal ideation in the population. Methods: A cross sectional study was conducted from June 17, 2024, to January 12, 2025, involving 96 severely affected ASD children and adolescents aged 8-18 years from Tianjin. Participants were assessed using the Puberty Development Scale (PDS), Children s Alexithymia Measure (CAM), Strengths and Difficulties Questionnaire (SDQ), and Positive and Negative Suicide Ideation (PANSI). The random forest Boruta algorithm was employed to screen core variables, and a Bayesian network model was constructed to analyze the influencing factors of suicidal ideation in children and adolescents with severe ASD. Results: Through the screening using the Boruta algorithm, the SDQ scale score, conduct problems, hyperactivity, peer relationship problems and prosocial behavior were identified as the key predictors of suicidal ideation. A Bayesian network model was established with hyperactivity as the central mediating node. The impact of hyperactivity on suicidal ideation exhibited a non linear relationship: compared to the normal state (31.6%, 68.4%), the borderline state of hyperactivity was associated with a higher probability of low risk suicidal ideation (47.1%) and a lower probability of high risk suicidal ideation (52.9%). Suicidal ideation among children and adolescents with severe ASD was closely related to hyperactivity. In the state of hyperactivity, the abnormal peer relationship (95.2%) and the abnormal prosocial behavior (77.0%) were aggravated. Conclusions Suicide ideation among children and adolescents with severe ASD is strongly associated with hyperactivity traits. It is necessary to establish a prevention and control system centered on hyperactivity intervention to reduce this risk.

Objective To investigate the effect of progressive muscle relaxation training intervention strategy in relieving fatigue of elderly patients with primary hepatocellular carcinoma(HCC)after receiving transcatheter arterial chemoembolization(T ACE),and to analyze its influencing factors.Methods Using convenience sampling method,a total of 150 elderly patients with HCC,who received TACE at a certain grade Ⅲ-A hospital at Peking of China from May 2021 to March 2023,were selected as the subjects of research.The patients were randomly divided into the study group and the control group,and progressive muscle relaxation training intervention strategy and conventional postoperative fatigue care method were employed respectively.The preoperative fatigue status and the postoperative fatigue recovery status were compared between the two groups,and the influencing factors were analyzed.Results In both groups,the postoperative one-day fatigue score was the highest,which was gradually decreased thereafter.The average recovery time of fatigue in the control group was 9.84 days,which in the study group was 6.16 days,the difference between the two groups was statistically significant(P=0.013).The body mass index(BMI),Child-Pugh classification,and preoperative grip strength index had an effect on the postoperative fatigue recovery time after intervention.A BMI of β=-0.953 and a preoperative grip strength index of β=-0.185 were negatively correlated with the postoperative fatigue recovery time after intervention,while a Child-Pugh classification of β=2.177 was positively correlated with the postoperative fatigue recovery time after intervention.Conclusion Progressive muscle relaxation training intervention strategy is helpful for shortening the postoperative fatigue recovery time in elderly patients with HCC after receiving TACE,and it is worth of promotion in clinical practice.The patient's nutrition and physical status such as BMI,hepatic reserve function and grip strength index,are the factors influencing the effectiveness of progressive muscle relaxation training intervention strategy.

Objective To investigate the effect of ultrasound-guided stellate ganglion block(SGB)on intraoperative fentanyl dosage in the patients undergoing open thyroidectomy.Methods A total of 70 patients with elective open thyroidectomy under general anesthesia in the Affiliated Hospital of North Sichuan Medical College from November 2021 to April 2022 were selected as the study subjects and divided into the SGB group(group S,n=35)and the control group(group C,n=33).The group S conducted ultrasound-guided SGB at 15 min before anesthetic induction(injection of 0.25％marcaine 6-8 mL),and group C conducted the stellate ganglion recognition under the ultrasound guidance in 15 min before anesthetic induction without conducting other operations.All patients all received the anesthesia induction and maintenance under the same BIS moni-toring.The fentanyl dosage,recovery time,anesthetic drugs dosage,fluid infusion amounts,bleeding volume,use rate of atropine and ephedrine,operation time and postoperative complications as well as the VAS scores in PACU 30 min,at postoperative 3,6,12,24 h were recorded.Results Compared with group C,the intraopera-tive amount of fentanyl in group S was significantly decreased[(247.9±65.4)μg vs.(295.7±61.5)μg,P=0.003].The propofol dosage,cisatracurium dosage,fluid infusion amounts,bleeding amounts,use rate of atro-pine and ephedrine,recovery time and incidence rate of complications had no statistical differences between the two groups(P＞0.05).The VAS scores at various time points in group S all were lower than those in group C(P＜0.05).Conclusion Ultrasound-guided SGB could reduce the fentanyl use amounts during operation in the patients with open thyroidectomy.

[ABSTRACT]OBJECTIVE To analyze the risk factors for relapse in patients with chronic rhinosinusitis with nasal polyps(CRSwNP)combined with asthm and provide favorable information for precise treatment and healthy prognosis of patients with CRSwNP combined with asthma.METHODS The clinical data of 161 patients with chronic rhinosinusitis with nasal polyps(CRSwNP)combined with asthm who underwent endoscopic surgery at the Department of Otolaryngology Head and Neck Surgery,Yantai Yuhuanding Hospital,affiliated to Qingdao University,from January 2016 to June 2021 were selected.Based on Lasso's Cox regression analysis and multifactorial Cox regression analysis,the associated risk factors were investigated,and the area under curve(AUC)was calculated to determine the performance of the model.Finally,the Kaplan-Meier(K-M)curves were plotted for the relevant influencing factors.RESULTS The Age[HR(95%CI):0.96(0.948-0.98),P<0.001],gender[HR(95%CI):1.94(1.21-3.14),P=0.006],tissue eosinophil percentage[HR(95%CI):1.01(1.01-1.02),P=0.004],and endoscopic nasal polyp score[HR(95%CI):0.86(0.78-0.96),P=0.005]were highly correlated with recurrence in patients with CRSwNP combined with asthma.Patients with CRSwNP combined with asthma had a higher likelihood of relapse after treatment when the tissue Eos%was>21.28%and the endoscopic nasal polyp score was>4.CONCLUSION The age,gender,tissue eosinophil percentage and endoscopic nasal polyp score are independent risk factors for disease recurrence in patients with CRSwNP combined with asthma.

Objective:To analyze the effect of donepezil hydrochloride combined with memantine on cognitive function in patients with Alzheimer's disease (AD).Methods:A randomized controlled trial was conducted among 90 patients with AD who were treated at the Zaozhuang Mental Health Center from January 2021 to March 2023. The patients were divided into a donepezil group and a combination group using a random number table grouping method, with 45 patients in each group. The donepezil hydrochloride group received only oral administration of donepezil hydrochloride tablets, while the combination group received oral administration of both donepezil hydrochloride tablets and memantine tablets. The two groups were continuously treated for 12 weeks. Before and after treatment, the Activities of Daily Living scale (ADL) score, the Behavioral Pathology in Alzheimer's Disease Rating Scale (BEHAVE-AD) score, the Mini-Mental State Scale (MMSE) score, and biochemical indicators (homocysteine, neuron-specific enolase, and S100 β) were compared between the two groups. Adverse drug reactions were observed in each group.Results:After treatment, the ADL, BEHAVE-AD, and MMSE scores in the combination group were (78.9 ± 6.1) points, (5.2 ± 0.5) points, and (22.8 ± 2.2) points, respectively, and they were (65.2 ± 5.9) points, (9.6 ± 0.9) points, and (19.4 ± 2.4) points, respectively, in the donepezil hydrochloride group. The ADL and MMSE scores in the combination group were significantly higher than those in the donepezil hydrochloride group ( t = 10.83, 7.01, both P < 0.001). The BEHAVE-AD score in the combination group was significantly lower than that in the donepezil hydrochloride group ( t = -28.67, P < 0.001). After treatment, serum levels of homocysteine, neuron-specific enolase, and S100 β in the combination group were (17.8 ± 3.6) μmol/L, (16.8 ± 2.7) μg/L, and (17.4 ± 7.5) μg/L, respectively, which were significantly lower than (21.5 ± 3.3) μmol/L, (20.4 ± 3.7) μg/L, and (23.5 ± 5.1) μg/L in the donepezil hydrochloride group ( t = -5.08, -5.27, -4.51, all P < 0.001). The incidence of adverse drug reactions in the combination group was 13.3% (6/45), which was slightly, but not significantly, higher than 8.9% (4/45) in the donepezil group ( χ2 = 0.45, P = 0.502). Conclusion:The combination of donepezil hydrochloride and memantine can effectively improve the mental and behavioral symptoms and cognitive function of patients with AD, improve daily living ability, and do not increase adverse reactions. The combined therapy has high clinical application value.