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.

Objective To construct and validate a predictive model for gastric precancerous le-sions based on urea breath test,serum pepsinogen(PG)and gastrin-17(G-17).Methods Partici-pants who underwent endoscopic screening for upper gastrointestinal tumors were retrospectively en-rolled as study subjects.Using random function,all participants were divided into training cohort of 2,788 cases(comprising 1,290 cases in precancerous lesion group and 1,498 cases in control group)and validation cohort of 1,194 cases(comprising 581 cases in precancerous lesion group and 613 cases in control group)at a ratio of 7 to 3.A simple model was established based on urea breath test,PG and G-17.Clinical data between the precancerous lesion group and the control group in the training cohort were compared.A predictive model for gastric precancerous lesions was constructed u-sing multifactorial Logistic regression analysis,and a scoring model for gastric precancerous lesions(the complete model)was developed based on this predictive model.The complete model,the simple model,the new ABC method,and the Li's score were all included in the validation cohort to compare the predictive performance of the four models.Results Multifactorial Logistic regression analysis indicated that male,smoking,positive Helicobacter pylori(Hp)infection,PG Ⅱ ≥10.19 μg/L,the ratio of PG Ⅰ to PG Ⅱ(PGR)≤11.87,and G-17 ≥3.82 pmol/L were independent risk factors for gastric precancerous lesions(P＜0.05).A predictive model for gastric precancerous lesions was constructed based on these risk factors,and the complete model was established based on the predic-tive model.The total score ranged from 0 to 12(with 6 to 12 indicating a high-risk population for gastric precancerous lesions and 0 to 5 indicating a low-risk population).When the complete model,the simple model,the new ABC method,and the Li's score were included in the validation cohort for comparison,the predictive values of the complete model and the simple model were similar.Both models demonstrated higher sensitivity,specificity,positive predictive value,negative predictive value,and accuracy compared to the new ABC method and the Li's score.Furthermore,the diag-nostic value of the simple model in the high-sensitivity region was slightly superior to that of the com-plete model.Conclusion The simple model constructed based on the urea breath test,PG and G-17 exhibits favorable predictive efficacy,calibration,and clinical utility,and is of positive signifi-cance for the early identification of patients with gastric precancerous lesions.

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Objective Human facial morphology is an appearance phenotype with high heritability,high diversity,and complexity.Traditional facial morphological genetic analysis is mostly based on facial landmark measurements,using linear regression for genome-wide association studies,but this method extracts limited facial morphological feature information.This study established an extraction method for multidimensional facial representations and validated the correlation between 473 single-nucleotide polymorphisms(SNPs)previously reported to be significantly associated with facial features and facial representations in the Han Chinese population.Methods After acquiring facial 3D images,3D morphable face models and HR-net network were used to align and quantify the 3D images,obtaining high-density 3D facial point cloud data.After unsupervised clustering of the point cloud,principal component analysis was applied to reduce dimensionality and extract multidimensional morphological phenotypes for each facial region.Based on these multidimensional phenotypes,partial least squares regression(PLSR)and canonical correlation analysis(CCA)were used for genetic association analysis.Results A total of 10 SNPs were validated to be significantly associated with facial morphology in Han Chinese,of which 7 SNPs were validated by the PLSR method,2 SNPs were validated by the CCA method,and 1 SNP was validated by both methods.Conclusion Among the 10 significantly associated SNP sites,9 related facial morphological regions were consistent with previous reports in other populations,indicating that genes affecting complex facial morphology have cross-population effects.

Objective Human facial morphology is an appearance phenotype with high heritability,high diversity,and complexity.Traditional facial morphological genetic analysis is mostly based on facial landmark measurements,using linear regression for genome-wide association studies,but this method extracts limited facial morphological feature information.This study established an extraction method for multidimensional facial representations and validated the correlation between 473 single-nucleotide polymorphisms(SNPs)previously reported to be significantly associated with facial features and facial representations in the Han Chinese population.Methods After acquiring facial 3D images,3D morphable face models and HR-net network were used to align and quantify the 3D images,obtaining high-density 3D facial point cloud data.After unsupervised clustering of the point cloud,principal component analysis was applied to reduce dimensionality and extract multidimensional morphological phenotypes for each facial region.Based on these multidimensional phenotypes,partial least squares regression(PLSR)and canonical correlation analysis(CCA)were used for genetic association analysis.Results A total of 10 SNPs were validated to be significantly associated with facial morphology in Han Chinese,of which 7 SNPs were validated by the PLSR method,2 SNPs were validated by the CCA method,and 1 SNP was validated by both methods.Conclusion Among the 10 significantly associated SNP sites,9 related facial morphological regions were consistent with previous reports in other populations,indicating that genes affecting complex facial morphology have cross-population effects.

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.

Objective Neuromuscular electrical stimulation(NMES)-evoked kinesthetic information in muscle spindle can be purely extracted from the mixed motor and sensory afferents using Ischemic nerve block(INB).This study aims to investigate the somatosensory cortical response evoked by NMES activating muscle spindle afferents in forearm.Methods All subjects performed four experimental tasks designed according to a 2×2 factors,including one factor of the INB state(without INB and within INB)and the other of the stimulation intensity(above and below motor threshold).During the experiment,we recorded EEG data with 64 channels and then beta event-related desynchronization(Beta ERD)were utilized quantize somatosensory cortical excitability evoked by the tasks.The subjective perception about the sensation and movement of the right hand were evaluated by a psychophysical test after the right wrist was performed by INB.Results INB significantly reduced beta ERD on the contralateral somatosensory cortex evoked by NMES above the motor threshold,and there was significant difference of NMES-evoked beta ERD values on the contralateral somatosensory cortex between above and below motor threshold.Meanwhile,contralateral dominance of NMES-evoked beta ERD on the somatosensory cortex was transferred to ipsilateral hemisphere under INB.Conclusion INB can significantly reduce NMES-evoked somatosensory cortical response above motor threshold and decrease cortical perception on the stimulus intensity,which may be due to INB resulting in rapid functional reorganization of somatosensory cortex.

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.

AIM:To examine the predictive perfor-mance of the PPK software JPKD for the steady-state concentrations of amikacin and recommend the applicable conditions under fixed daily dosage of 400 mg and 600 mg.METHODS:Inpatients using amikacin in the First Affiliated Hospital of Bengbu Medical University from July 2022 to February 2024 were enrolled,and the measured concentra-tions of amikacin were detected by LC-MS/MS;Ver-ified the predictive performance of JPKD software for peak and trough concentrations of amikacin;JP-KD software was applied to predict the steady-state concentrations of amikacin in the patients at the infusion time of 0.5,1.0,1.5,2.0,2.5,and 3.0 h,and then compared the variability of steady-state concentrations with different levels of renal function at optimal infusion time,then the C max/MIC values were measured.RESULTS:A total of 69 patients were enrolled,including 18 patients with steady state trough concentrations and 17 patients with steady state peak concentrations.It was found that JPKD had a poor predictive ability for steady state trough concentrations but a good predictive ability for peak concentrations,the WRES＜10％be-tween predictive and measured concentrations,and a strong correlation existed between them(r=0.806).With the shortening infusion time,the high-er peak concentrations.The predicted peak concen-trations at 0.5 h and 1.0 h infusion time groups were(34.81±6.87)μg/mL and(32.51±6.07)μg/mL,respectively.With the decline of the renal function,the peak concentrations showed a increasing trend.On the same level of renal function,the peak concentrations in the 600 mg group was high-er than that of the 400 mg group.When MIC ≤2 μg/mL,400 mg daily dose was chosen;when MIC=4 μg/mL,400 mg daily dose could be used for CKD3b stage patients,and 600 mg daily dose could be used for CKD1,CKD2,and CKD3a stage patients;when MIC=8 μg/mL,it was predicted that a higher dose was needed to achieve the expected target.CONCLUSION:Amikacin is preferably administered intravenously for 0.5 to 1.0 h,fixed daily doses of 400 mg and 600 mg are indicated for some pa-tients according to the target bacterial MIC and re-nal function.