Parkinson's disease (PD) is a kind of prevalent neurodegenerative disorders characterized by motor symptoms such as bradykinesia, tremor and muscle rigidity, as well as non-motor symptoms such as neuropsychiatric symptoms, autonomic dysfunction and sleep-wake disorders; these symptoms seriously affect the quality of life of patients. The current diagnosis and treatment as well as long-term management still face some deficiencies, such as lack of highly sensitive biomarkers for early diagnosis, relatively subjective clinical comprehensive assessment, individualized treatment strategies mainly formulated based on subjective cognition and clinical experience of physicians, and absence of long-term management data. In recent years, with the rapid development of artificial intelligence (AI), it has demonstrated significant application potential and value in diagnosis, treatment, and long-term management of PD. This article reviews the recent advances of AI in the above-mentioned fields of PD, with the aim of providing references for improving clinical diagnosis, treatment, and long-term management of PD.

Objective:To explore the effects of the "group+individual" combined internet occupational health management model on the physiological indicators, pulmonary imaging changes and self-management ability of people with pneumoconiosis.Methods:In November 2022, patients diagnosed with pneumoconiosis in Baotou city from January 2012 to January 2022 were selected. Eighty cases exhibiting a decline in forcect expiratory volume in one second (FEV 1) and pulmonary imaging changes (primarily ground-glass opacity variations) were chosen as study subjects. These patients were randomly divided into a control group and an experimental group using the sealed envelope method, with 40 patients in each group. The control group received conventional outpatient follow-up and occupational health surveillance management, while the experimental group underwent a remote occupational health management model combining "group+individual" approaches over 12 months, with interventions administered once every 3 months. Comparative analysis was conducted on pre-and pos-management indicators between the two groups, including pulmonary function, pulmonary imaging changes, and self-management ability scores. Results:After occupational health management, the experimental group showed superior improvement in observed indicators (including pulmonary function and pulmonary imaging indicators) compared to the control group ( P<0.05). The self-management ability scores of the experimental group after occupational health management were also better than those of the control group (all P<0.05) . Conclusion:The remote occupational health management model combining group management and individualized guidance, when applied to patients with pneumoconiosis, is beneficial for improving their physiological indicators, pulmonary imaging indicators, and enhancing self-management abilities.

Objective:To explore the effects of the "group+individual" combined internet occupational health management model on the physiological indicators, pulmonary imaging changes and self-management ability of people with pneumoconiosis.Methods:In November 2022, patients diagnosed with pneumoconiosis in Baotou city from January 2012 to January 2022 were selected. Eighty cases exhibiting a decline in forcect expiratory volume in one second (FEV 1) and pulmonary imaging changes (primarily ground-glass opacity variations) were chosen as study subjects. These patients were randomly divided into a control group and an experimental group using the sealed envelope method, with 40 patients in each group. The control group received conventional outpatient follow-up and occupational health surveillance management, while the experimental group underwent a remote occupational health management model combining "group+individual" approaches over 12 months, with interventions administered once every 3 months. Comparative analysis was conducted on pre-and pos-management indicators between the two groups, including pulmonary function, pulmonary imaging changes, and self-management ability scores. Results:After occupational health management, the experimental group showed superior improvement in observed indicators (including pulmonary function and pulmonary imaging indicators) compared to the control group ( P<0.05). The self-management ability scores of the experimental group after occupational health management were also better than those of the control group (all P<0.05) . Conclusion:The remote occupational health management model combining group management and individualized guidance, when applied to patients with pneumoconiosis, is beneficial for improving their physiological indicators, pulmonary imaging indicators, and enhancing self-management abilities.

Parkinson's disease (PD) is a kind of prevalent neurodegenerative disorders characterized by motor symptoms such as bradykinesia, tremor and muscle rigidity, as well as non-motor symptoms such as neuropsychiatric symptoms, autonomic dysfunction and sleep-wake disorders; these symptoms seriously affect the quality of life of patients. The current diagnosis and treatment as well as long-term management still face some deficiencies, such as lack of highly sensitive biomarkers for early diagnosis, relatively subjective clinical comprehensive assessment, individualized treatment strategies mainly formulated based on subjective cognition and clinical experience of physicians, and absence of long-term management data. In recent years, with the rapid development of artificial intelligence (AI), it has demonstrated significant application potential and value in diagnosis, treatment, and long-term management of PD. This article reviews the recent advances of AI in the above-mentioned fields of PD, with the aim of providing references for improving clinical diagnosis, treatment, and long-term management of PD.

Objective : To analyze the difference of urinary iodine level in Hashimoto thyroiditis ( HT) patients， and to explore the possible relationship between urinary iodine level and HT under different iodine nutritional sta- tus，so as to provide some references for reasonable iodine intake in HT patients． Methods : A total of 101 hospi- talized HT patients were selected as HT group and divided into 3 groups according to thyroid function : HT group with hyperthyroidism (41 cases) ．There were 25 cases in HT group with normal thyroid function．There were 35 cases in HT combined with hypothyroidism group．In addition，30 healthy subjects were selected as control group. Serum levels of thyroid stimulating hormone(TSH) ，triiodothyronine(T3 ) ，thyroxine (T4 ) ，thyroid peroxidase an- tibody (TPOAb) and thyroglobulin antibody (ATG) were detected by chemiluminescence assay．The size and mor- phological structure of thyroid organs were examined by ultrasonography．Urinary iodine was determined by catalytic spectrophotometry with arsenic and cerium．The nutritional status of iodine was classified into iodine deficiency ( < 100 μg/ L) ，iodine adequacy( 100 －199 μg/ L) ，iodine adequacy (200 －299 μg/ L) and iodine excess ( ≥ 300 μg/ L) ．Non-parametric test was used to compare urinary iodine level between HT group and control group，one- way ANOVA and t test were used to compare urinary iodine level between HT group and control group ，and Spearman correlation analysis was used to compare the correlation between urinary iodine level and T3 ，T4 ，TSH， ATG and TPOAb under different iodine nutrition status. Results : Compared with control group，ATG and TPOAb levels in HT group increased (P＜0. 001) ，and urinary iodine levels increased (P＜0. 05) ，with statistical signifi- cance．Compared with the control group in different thyroid function states，only the HT group with hypothyroidism increased the urinary iodine level (P＜0. 01) ，and the difference was statistically significant．Spearman correlation analysis showed that urine iodine level was positively correlated with ATG and TPOAb levels in iodine excess condi- tion (P＜0. 05) ，and urine iodine level was positively correlated with TSH level in iodine sufficient condition and iodine excess condition in HT patients (P＜0. 05) ． Conclusion The urinary iodine level of HT patients was high- er than that of normal people．When the urinary iodine level of residents is ≥ 300 μg/ L，iodine intake is prone to HT．When the urinary iodine level of HT patients is ≥ 200 μg/ L，iodine consumption is prone to hypothyroidism， and iodine intake should be limited.

Ischemic stroke is the leading cause of death and disability in the global population, posing a significant challenge to public health. In recent years, artificial intelligence (AI) technology has made significant progress in the diagnosis, treatment, and rehabilitation management of ischemic stroke (IS), but its application still faces challenges such as data privacy and algorithm transparency. This article reviews the application progress of AI technology in the field of ischemic stroke.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To analyze the relationship among self-efficacy, family support and diabetes self-management behavior in rural patients with type 2 diabetes mellitus, and to explore the mediating role of self-efficacy between self-management behavior and family support in rural patients with type 2 diabetes mellitus.Methods:From June to July 2023, Jingde county in southern Anhui, Jinzhai county in central Anhui, and Mengcheng county in northern Anhui were selected by multistage stratified cluster random sampling method as investigation sites. A total of 258 patients with type 2 diabetes mellitus were investigated by face-to-face survey. The questionnaire included general situation survey from, the summary of diabetes self-care activities measure, the self-efficacy for diabetes and diabetes family behavior checklist. SPSS 25.0 and AMOS 26.0 softwares were used for descriptive analysis, correlation analysis, common method bias test and mediation analysis.Results:The self-management behavior score of rural patients with type 2 diabetes mellitus was(2.15±0.96).The self-efficacy score was(28.50±7.02).The family support score was(29.37±9.45).Self-efficacy and family support were positively correlated with self-management behavior( r=0.390, 0.333, both P<0.01), and family support was positively correlated with self-efficacy( r=0.511, P<0.01). Self-efficacy played a partial mediating role between self-management behavior and family support in rural patients with type 2 diabetes, and the mediating effect accounted for 45.2%(0.147/0.325) of the total effect. Conclusion:Family support not only has direct influence on self-management behavior of rural patients with diabetes mellitus, but also has indirect influence on self-management behavior by improving self-efficacy.

Objective:To analyze the relationship among self-efficacy, family support and diabetes self-management behavior in rural patients with type 2 diabetes mellitus, and to explore the mediating role of self-efficacy between self-management behavior and family support in rural patients with type 2 diabetes mellitus.Methods:From June to July 2023, Jingde county in southern Anhui, Jinzhai county in central Anhui, and Mengcheng county in northern Anhui were selected by multistage stratified cluster random sampling method as investigation sites. A total of 258 patients with type 2 diabetes mellitus were investigated by face-to-face survey. The questionnaire included general situation survey from, the summary of diabetes self-care activities measure, the self-efficacy for diabetes and diabetes family behavior checklist. SPSS 25.0 and AMOS 26.0 softwares were used for descriptive analysis, correlation analysis, common method bias test and mediation analysis.Results:The self-management behavior score of rural patients with type 2 diabetes mellitus was(2.15±0.96).The self-efficacy score was(28.50±7.02).The family support score was(29.37±9.45).Self-efficacy and family support were positively correlated with self-management behavior( r=0.390, 0.333, both P<0.01), and family support was positively correlated with self-efficacy( r=0.511, P<0.01). Self-efficacy played a partial mediating role between self-management behavior and family support in rural patients with type 2 diabetes, and the mediating effect accounted for 45.2%(0.147/0.325) of the total effect. Conclusion:Family support not only has direct influence on self-management behavior of rural patients with diabetes mellitus, but also has indirect influence on self-management behavior by improving self-efficacy.

Objective:To explore the medication law and core TCM prescriptions of Jia Yuejin in the treatment of coronary heart disease (CHD) complicated with depressive disorder (DD) by analyzing target-based network and mining clinical data.Methods:The targets of CHD complicated with DD were obtained by GeneCards, OMIM, TTD and other databases, and then the protein-protein interaction network of the two disease targets was constructed and then screened out the core targets. The Metascape platform was used to perform GO and KEGG pathway enrichment analysis on the intersection targets respectively to analyze the mechanism of action of CHD complicated with DD. Then TCMSP was used to query the active components acting on the targets and the Chinese materia medica containing these active components, and the data were imported into Cytoscape 3.9.0 to construct the core target-active component-Chinese materia medica network for network topology analysis. The outpatient clinical data of Jia Yuejin from January 1, 2015 to January 1, 2021 were collected, and data mining was conducted by using the Ancient and Modern Medical Case Cloud Platform (V2.3.5) to obtain his commonly used prescriptions. The results were fitted with the core TCM prescriptions obtained by target network analysis, and the drugs in the core prescriptions were analyzed.Results:Totally 1 501 intersection targets were obtained by protein interaction network analysis of CHD complicated with DD, which could be divided into 4 core target clusters, including inflammation cause, subclass tumor cause, subclass lipid metabolism factor, and fibrosis factor; a total of 480 active components were obtained by TCMSP, which belonged to 181 types of Chinese materia medica, including 8 core components: quercetin, kaempferol, luteolin, carotene, beta-carotene, acacetin, formononetin and ellagic acid. GO enrichment analysis yielded 61 results, mainly including positive regulation of protein phosphorylation, signal receptor agonist activity, side of membrane , etc.; KEGG pathway enrichment analysis yielded a total of 20 results, mainly including cancer pathways, lipid and atherosclerosis, JAK-STAT signaling pathway, etc. Clinical data mining included 120 cases and 148 prescriptions, including 135 types of Chinese materia medica; the properties were mainly mild, warm, slightly cold and cold; the tastes were mainly sweet, bitter and light, and the medicine mainly belongs to the lung, spleen, liver, heart, stomach, kidney and other meridians; drug association analysis, cluster analysis and complex network analysis were used to synthesize common prescriptions. The core TCM prescriptions obtained from common prescription and target network analysis were fitted: Pinelliae Rhizoma, Glycyrrhizae Radixet Rhizoma, Bupleuri Radix, Cyperi Rhizoma, Salviea Miltiorrhizae Radix et Rhizoma, Corydalis Rhizoma, Codonopsis Radix, Astragali Radix, Acori Tatarinowii Rhizoma. Conclusion:The medication law of Jia Yuejin in the treatment of CHD complicated with DD is in accordance with core TCM prescriptions. This study can provide guidance for clinical treatment and further research of CHD complicated with DD.