1.Expert consensus on imaging diagnosis and analysis of early correction of childhood malocclusion.
Zitong LIN ; Chenchen ZHOU ; Ziyang HU ; Zuyan ZHANG ; Yong CHENG ; Bing FANG ; Hong HE ; Hu WANG ; Gang LI ; Jun GUO ; Weihua GUO ; Xiaobing LI ; Guangning ZHENG ; Zhimin LI ; Donglin ZENG ; Yan LIU ; Yuehua LIU ; Min HU ; Lunguo XIA ; Jihong ZHAO ; Yaling SONG ; Huang LI ; Jun JI ; Jinlin SONG ; Lili CHEN ; Tiemei WANG
International Journal of Oral Science 2025;17(1):21-21
Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans
;
Malocclusion/diagnostic imaging*
;
Child
;
Consensus
2.Value of serum P-selectin,IL-18,and Hcy levels in predicting poor out-come of interventional therapy for elderly patients with lower extremity deep venous thrombosis
Hong-jian CHI ; Yan-bing JI ; Min LIU ; Qi-xue LIU
Chinese Journal of Current Advances in General Surgery 2025;28(3):185-190
Objective:To explore the value of serum P-selectin,Interleukin-18(IL-18),and Homocysteine(Hcy)levels in predicting the adverse outcomes of interventional therapy in elderly patients with deep vein thrombosis(DVT)in the lower extremities.Methods:A total of 165 elderly patients with DVT from January 2020 to August 2023 were se-lected.All patients underwent transcatheter intervention thrombolysis therapy.Patients were divided into good outcome group and poor outcome group according to the clinical treatment outcome.Serum P-selectin,IL-18,and Hcy levels were compared between the two groups.The correlation between serum P-selectin,IL-18,and Hcy levels and disease indicators,as well as the outcomes of interventional therapy was analyzed.The predictive value of serum P-selectin,IL-18,and Hcy levels for the outcomes of interventional therapy was evaluated.Results:The total effective rate of catheter-based interventional thrombolysis in 165 patients was 81.82%(135/165).The patients with good outcomes were included in the good outcome group,and the patients with poor outcomes were included in the poor outcome group.The difference in circumference between the affected side and the healthy side of the thigh and the difference in circumference between the affected side and the healthy side of the calf in the poor outcome group were greater than those in the good outcome group(P<0.05).The levels of serum P-selectin,IL-18,and Hcy in the poor outcome group were higher than those in the good outcome group(P<0.05).The levels of serum P-selectin,IL-18,and Hcy were posi-tively correlated with the difference in circumference between the affected and healthy thighs and the difference in cir-cumference between the affected and healthy calves,and negatively correlated with the outcome of interventional therapy(P<0.05).Before and after correcting other factors,serum P-selectin,IL-18,and Hcy were all independent risk factors for the outcome of interventional therapy in elderly patients with DVT(P<0.05).The area under the curve(AUC)of serum P-selectin,IL-18,and Hcy for predicting the outcome of interventional therapy for elderly DVT was 0.789(95%CI:0.718-0.848),0.812(95%CI:0.744-0.868),and 0.792(95%CI:0.722-0.851),respectively.The cutoff values were 44.21 ng/mL,185.73 ng/L,and 23.60 μmol/L,with sensitivities of 70.00%,70.00%,and 80.00%,and specificities of 82.22%,82.96%,and 68.15%,respectively.The AUC of the combined prediction of the outcomes of interventional therapy for elderly DVT was 0.935(95%CI:0.886-0.967),with a cutoff value of 44.08 ng/mL,185.16 ng/L,and 23.37 μmol/L for the three variables,with a sensitivity of 86.67%and a specificity of 88.15%.This was significantly better than the individual prediction values of the three variables(Z=5.817,4.753,5.206,all P<0.001).Conclusion:Serum P-selectin,IL-18,and Hcy are significantly correlated with disease indicators and interventional treatment outcomes in el-derly patients with DVT,and can effectively predict the outcome of interventional treatment,with a high combined pre-dictive value.
3.Observation on the Therapeutic Effect of Bushen Jianpi Formula in Treating Type 2 Diabetes Mellitus Complicated with Non-alcoholic Fatty Liver Disease
Yan LI ; Feng LIU ; Jiewen ZHANG ; Jing LIN ; Bing JI
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(11):2705-2713
Objective To evaluate the clinical efficacy of Bushen Jianpi Formula(BSJPF)in treating type 2 diabetes mellitus(T2DM)complicated with non-alcoholic fatty liver disease(NAFLD)of spleen-kidney deficiency type.Methods Seventy-two patients with T2DM complicated with NAFLD of spleen-kidney deficiency type admitted to Clifford Hospital from June 2023 to September 2024 were randomized into treatment group(n=36,receiving lifestyle intervention+metformin+BSJPF)and control group(n=36,lifestyle intervention+metformin alone)for 12 weeks.TCM syndrome scores,liver function markers,ultrasonographic grading of fatty liver,glycolipid metabolic parameters were observed,and the clinical efficacy and safety were assessed.Results(1)Regarding dropouts,during the study,2 patients in the treatment group dropped out,while none occurred in the control group.Ultimately,34 patients in the treatment group and 36 in the control group completed efficacy evaluation.(2)In terms of clinical efficacy,after 12 weeks of treatment,the total effective rate was 88.24%(30/34)in the treatment group versus 66.67%(24/36)in the control group.Intergroup comparison(by chi-square test)showed significantly superior efficacy in the treatment group(P<0.05).(3)For liver function indicators,after treatment,serum alanine aminotransferase(ALT),aspartate aminotransferase(AST),and γ-glutamyl transpeptidase(GGT)levels decreased significantly in both groups compared to those before treatment(P<0.05),with substantially greater reduction in the treatment group(P<0.05).(4)Regarding fatty liver ultrasound grading,both groups showed improvement after treatment(P<0.05),with significantly greater enhancement in the treatment group(P<0.05).(5)For glucose-lipid metabolism markers,both groups exhibited decreased fasting blood glucose(FBG),2-hour postprandial glucose(2hPG),glycated hemoglobin(HbA1c),fasting insulin(FINS),insulin resistance index(HOMA-IR),total cholesterol(TC),triglycerides(TG),and low-density lipoprotein cholesterol(LDL-C)levels(P<0.05),with treatment group showing markedly greater reductions(P<0.05);both groups demonstrated increased high-density lipoprotein cholesterol(HDL-C)levels(P<0.05),with treatment group showing significantly greater elevation(P<0.05).(6)In TCM syndrome score assessment,both groups showed reduced scores after treatment(P<0.05),with treatment group demonstrating significantly greater improvement(P<0.05).(7)Regarding safety,routine blood/urine/stool tests,renal function indicators,and electrocardiograms remained normal in both groups.The adverse reaction rate was 2.94%(1/34)in treatment group versus 5.56%(2/36)in control group,with no statistically significant difference between groups(P>0.05).Conclusion BSJPF combined with metformin demonstrates superior efficacy to metformin alone for patients with T2DM complicated with NAFLD of spleen-kidney deficiency type.It is effective in relieving clinical symptoms,enhancing TCM syndrome efficacy,improving liver enzymes,fatty liver grading and insulin resistance,and regulating glycolipid metabolism.
4.Sirtuin 3 Attenuates Acute Lung Injury by Decreasing Ferroptosis and Inflammation through Inhibiting Aerobic Glycolysis.
Ke Wei QIN ; Qing Qing JI ; Wei Jun LUO ; Wen Qian LI ; Bing Bing HAO ; Hai Yan ZHENG ; Chao Feng HAN ; Jian LOU ; Li Ming ZHAO ; Xing Ying HE
Biomedical and Environmental Sciences 2025;38(9):1161-1167
5.Influencing factors of self-management competence in elderly patients with diabetes mellitus based on structural equation model
Feng ZHANG ; Yan BING ; Ji LIU ; Lijuan LIU
Academic Journal of Naval Medical University 2025;46(3):344-351
Objective To investigate the status of self-management ability in elderly patients with type 2 diabetes mellitus(T2DM)in community,and to analyze the influencing factors using structural equation model.Methods A convenient sampling method was used to investigate patients aged 65 years and above with T2DM in Hongkou district of Shanghai.The patients were assessed using diabetes self-management questionnaire(DSMQ),Beck depression inventory(BDI),diabetes management self-efficacy scale(DMSES),and diabetes distress scale(DDS).Spearman correlation analysis was conducted to explore the relationship among the variables.A structural equation model was constructed to analyze the effect of depression,self-efficacy,and diabetes distress on self-management levels among the patients.Results A total of 588 elderly patients with T2DM were included in this survey,the DSMQ score was 32.00(28.00,38.00),the DMSES score was 158.50(135.25,172.00),the BDI score was 0.00(0.00,2.00),and the DDS score was 23.00(18.00,31.00).The final model demonstrated good fit to the sample data,self-efficacy had a positive impact on self-management levels(β=0.558,P<0.001),and depression had a positive impact on diabetes distress(β=0.599,P<0.001).Conversely,depression had a negative impact on self-efficacy(β=-0.314,P<0.001),and diabetes distress also had a negative impact on self-efficacy(β=-0.267,P<0.001).Self-efficacy had the greatest impact on self-management level(the total effect was 0.558),and it was a direct impact.Depression(the total effect was-0.264)and diabetes distress(the total effect was-0.149)had indirect effects.Self-efficacy played a mediating role between depression and self-management,with an indirect effect of-0.175,accounting for 66.3%of the total effect.Self-efficacy and diabetes distress played a chain mediating role between depression and self-management,with an indirect effect of-0.089,accounting for 33.7%of the total effect.Conclusion Self-efficacy has the greatest effect on the self-management level of elderly patients with diabetes mellitus.Depression and diabetes distress indirectly affect self-management levels through the mediating role of self-efficacy.Community and clinical healthcare workers should focus on enhancing the self-efficacy of patients with diabetes mellitus and implementing targeted interventions for their symptoms of depression and diabetes distress,so as to improve their self-management capabilities.
6.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
7.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
8.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
9.Value of serum P-selectin,IL-18,and Hcy levels in predicting poor out-come of interventional therapy for elderly patients with lower extremity deep venous thrombosis
Hong-jian CHI ; Yan-bing JI ; Min LIU ; Qi-xue LIU
Chinese Journal of Current Advances in General Surgery 2025;28(3):185-190
Objective:To explore the value of serum P-selectin,Interleukin-18(IL-18),and Homocysteine(Hcy)levels in predicting the adverse outcomes of interventional therapy in elderly patients with deep vein thrombosis(DVT)in the lower extremities.Methods:A total of 165 elderly patients with DVT from January 2020 to August 2023 were se-lected.All patients underwent transcatheter intervention thrombolysis therapy.Patients were divided into good outcome group and poor outcome group according to the clinical treatment outcome.Serum P-selectin,IL-18,and Hcy levels were compared between the two groups.The correlation between serum P-selectin,IL-18,and Hcy levels and disease indicators,as well as the outcomes of interventional therapy was analyzed.The predictive value of serum P-selectin,IL-18,and Hcy levels for the outcomes of interventional therapy was evaluated.Results:The total effective rate of catheter-based interventional thrombolysis in 165 patients was 81.82%(135/165).The patients with good outcomes were included in the good outcome group,and the patients with poor outcomes were included in the poor outcome group.The difference in circumference between the affected side and the healthy side of the thigh and the difference in circumference between the affected side and the healthy side of the calf in the poor outcome group were greater than those in the good outcome group(P<0.05).The levels of serum P-selectin,IL-18,and Hcy in the poor outcome group were higher than those in the good outcome group(P<0.05).The levels of serum P-selectin,IL-18,and Hcy were posi-tively correlated with the difference in circumference between the affected and healthy thighs and the difference in cir-cumference between the affected and healthy calves,and negatively correlated with the outcome of interventional therapy(P<0.05).Before and after correcting other factors,serum P-selectin,IL-18,and Hcy were all independent risk factors for the outcome of interventional therapy in elderly patients with DVT(P<0.05).The area under the curve(AUC)of serum P-selectin,IL-18,and Hcy for predicting the outcome of interventional therapy for elderly DVT was 0.789(95%CI:0.718-0.848),0.812(95%CI:0.744-0.868),and 0.792(95%CI:0.722-0.851),respectively.The cutoff values were 44.21 ng/mL,185.73 ng/L,and 23.60 μmol/L,with sensitivities of 70.00%,70.00%,and 80.00%,and specificities of 82.22%,82.96%,and 68.15%,respectively.The AUC of the combined prediction of the outcomes of interventional therapy for elderly DVT was 0.935(95%CI:0.886-0.967),with a cutoff value of 44.08 ng/mL,185.16 ng/L,and 23.37 μmol/L for the three variables,with a sensitivity of 86.67%and a specificity of 88.15%.This was significantly better than the individual prediction values of the three variables(Z=5.817,4.753,5.206,all P<0.001).Conclusion:Serum P-selectin,IL-18,and Hcy are significantly correlated with disease indicators and interventional treatment outcomes in el-derly patients with DVT,and can effectively predict the outcome of interventional treatment,with a high combined pre-dictive value.
10.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Result Analysis
Print
Save
E-mail