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 test the difficulty, discrimination, and reliability of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire.Methods:Two researchers independently translated the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire and cross-checked it to form a Chinese version of the questionnaire. The Chinese version of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire consists of 24 items, with correct answers scoring one point and incorrect answers scoring zero points, with a total score of 24 points. Convenience sampling was used to select ICU nurses from 14 GradeⅢ Class A hospitals in five provinces/autonomous regions and two municipalities in China for the survey between April and July 2023. The difficulty index, discrimination index, and Cronbach's α coefficient of the questionnaire were analyzed.Results:A total of 1 121 questionnaires were distributed, with 1 020 valid responses, yielding a valid response rate of 90.99%. The mean score of the 1 020 ICU nurses on the Chinese version of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire was (16.10±5.58) , with a minimum score of 4.00 and a maximum score of 24.00. The Cronbach's α coefficient of the Chinese version of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire was 0.91. The questionnaire's overall difficulty and discrimination indexes were 0.67 and 0.59, respectively.Conclusions:The Chinese version of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire has appropriate difficulty, moderate discrimination, and strong reliability, making it a valuable tool for assessing ICU nurses' knowledge of pressure injury-related topics.

Objective To observe the value of left atrial volume/mechanical coupling index(LACI)for predicting left atrial(LA)dysfunction in patients with chronic kidney disease(CKD).Methods Totally 213 CKD patients(CKD group)and 50 healthy controls(control group)were enrolled.Clinical data,laboratory indicators and echocardiographic parameters were compared between groups.According to quartile values of LACI,patients in CKD group were further divided into 4 subgroups,and their clinical,laboratory indicators and echocardiographic parameters were compared.The correlations between LACI and laboratory markers of myocardial injury as well as echocardiographic parameters were analyzed.Taken LAVI＞34 ml/m2 as LA dysfunction,the efficacy of LACI,LA strain and LA stiffness index(LASI)for predicting LA dysfunction in CKD patients were evaluated.Results Statistical differences of gender,blood pressure,creatinine,estimated glomerular filtration rate(eGFR),cardia troponinT(cTnT),creatine kinase isoenzymes(CK-MB)and N-terminal pro-B-type natriuretic peptide(NT-proBNP)were found between groups(all P＜0.05).In CKD group,with the increase of LACI,the prevalence of blood pressure and diabetes,the levels of cTnT and NT-proBNP in different subgroups showed increasing trend,while eGFR showed a decreasing trend.LACI was correlated with cTnT,CK-MB,NT-proBNP and multiple echocardiographic parameters(all P＜0.001).The AUC of LACI for predicting LA dysfunction in CKD patients was 0.884,higher than that of LA strain during reservoir phase,conduit phase,contraction phase and LASI(AUC=0.652,0.621,0.611,0.746,all P＜0.05).Conclusion LACI could be used to effectively predict LA dysfunction in CKD patients.

Objective To observe the value of left atrial volume/mechanical coupling index(LACI)for predicting left atrial(LA)dysfunction in patients with chronic kidney disease(CKD).Methods Totally 213 CKD patients(CKD group)and 50 healthy controls(control group)were enrolled.Clinical data,laboratory indicators and echocardiographic parameters were compared between groups.According to quartile values of LACI,patients in CKD group were further divided into 4 subgroups,and their clinical,laboratory indicators and echocardiographic parameters were compared.The correlations between LACI and laboratory markers of myocardial injury as well as echocardiographic parameters were analyzed.Taken LAVI＞34 ml/m2 as LA dysfunction,the efficacy of LACI,LA strain and LA stiffness index(LASI)for predicting LA dysfunction in CKD patients were evaluated.Results Statistical differences of gender,blood pressure,creatinine,estimated glomerular filtration rate(eGFR),cardia troponinT(cTnT),creatine kinase isoenzymes(CK-MB)and N-terminal pro-B-type natriuretic peptide(NT-proBNP)were found between groups(all P＜0.05).In CKD group,with the increase of LACI,the prevalence of blood pressure and diabetes,the levels of cTnT and NT-proBNP in different subgroups showed increasing trend,while eGFR showed a decreasing trend.LACI was correlated with cTnT,CK-MB,NT-proBNP and multiple echocardiographic parameters(all P＜0.001).The AUC of LACI for predicting LA dysfunction in CKD patients was 0.884,higher than that of LA strain during reservoir phase,conduit phase,contraction phase and LASI(AUC=0.652,0.621,0.611,0.746,all P＜0.05).Conclusion LACI could be used to effectively predict LA dysfunction in CKD patients.

Objective:To test the difficulty, discrimination, and reliability of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire.Methods:Two researchers independently translated the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire and cross-checked it to form a Chinese version of the questionnaire. The Chinese version of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire consists of 24 items, with correct answers scoring one point and incorrect answers scoring zero points, with a total score of 24 points. Convenience sampling was used to select ICU nurses from 14 GradeⅢ Class A hospitals in five provinces/autonomous regions and two municipalities in China for the survey between April and July 2023. The difficulty index, discrimination index, and Cronbach's α coefficient of the questionnaire were analyzed.Results:A total of 1 121 questionnaires were distributed, with 1 020 valid responses, yielding a valid response rate of 90.99%. The mean score of the 1 020 ICU nurses on the Chinese version of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire was (16.10±5.58) , with a minimum score of 4.00 and a maximum score of 24.00. The Cronbach's α coefficient of the Chinese version of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire was 0.91. The questionnaire's overall difficulty and discrimination indexes were 0.67 and 0.59, respectively.Conclusions:The Chinese version of the ICU Nurse Pressure Injury Prevention and Care Knowledge Questionnaire has appropriate difficulty, moderate discrimination, and strong reliability, making it a valuable tool for assessing ICU nurses' knowledge of pressure injury-related topics.

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 Optimizing the water extraction technology of Xiangqin jiere granules. METHODS The orthogonal test of 3 factors and 3 levels was designed， and comprehensive scoring was conducted for the above indexes by using G1-entropy weight to obtain the optimized water extraction technology of Xiangqin jiere granules with water addition ratio， extraction time and extraction times as factors， using the contents of forsythoside A， baicalin， phillyrin， oroxylin A-7-O-β-D-glycoside， wogonoside， baicalein and wogonin， and extraction rate as evaluation indexes. BP neural network modeling was used to optimize the network model and water extraction process using the results of 9 groups of orthogonal tests as test and training data， the water addition multiple， decocting time and extraction times as input nodes， and the comprehensive score as output nodes. Then the two analysis methods were compared by verification test to find the best water extraction process parameters. RESULTS The water extraction technology optimized by the orthogonal test was 8-fold water， extracting 3 times， extracting for 1 h each time. Comprehensive score was 96.84 （RSD＝0.90%）. The optimal water extraction technology obtained by BP neural network modeling included 12-fold water， extracting 4 times， extracting for 0.5 h each time. The comprehensive score was 92.72 （RSD＝0.77%）， which was slightly lower than that of the orthogonal test. CONCLUSIONS The water extraction technology of Xiangqin jiere granules is optimized successfully in the study， which includes adding 8-fold water， extracting 3 times， and extracting for 1 hour each time.

Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images. Methods A total of 1 001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1 007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine with lung cancer,diabetes,and hypertension were collected.The tongue images were randomi-zed into the training,validation,and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model's performance was evaluated by its accuracy,loss curve,recall,F1 score,confusion matrix,receiver operating characteristic(ROC)curve,and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM). Results The training results showed that after 90 epochs,the model presented an excellent classification performance.The loss curve and accuracy were stable,showing no signs of overfitting.The model achieved an accuracy,recall,and F1 score of 92%,91%,and 92%,re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95,respectively. Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.

One hundred patients with chronic renal failure(CRF) undergoing contrast diagnosis and/or interventional therapy were randomly divided into two groups: patients in hydration alone group( n = 49 )received intravenous infusion of 0.9% sodium chloride 12 h before injection of contrast media till 12 h after examination (hydration), patients in atorvastatin plus hydration group (n = 51 ) received atorvastatin 80mg/d 24 h before examintion for 3 d in addition to hydration.The serum creatinine concentrations were measured before and 48 h after injection of contrast media.In atorvastatin plus hydration group, the incidence rate of contrast-induced nephropathy (CIN) was 8% (4/51), which was significantly lower than that of hydration group (24%,12/49 )(P＜0.05).Short-term and large dose administration of atorvastatin plus hydration can decrease the incidence of CIN in patients with chronic renal failure undergoing contrast diagnosis and/or interventional thrapy.

Objective:To investigate the effect and the mechanism of VEGF-C antisense oligodeoxynucleotide(ASODN) on the adhesion and invasion of human ovary cancer cell line SKOV3 in vitro.Methods:The ASODN sequence targeting the coding region of VEGF-C was synthesized and introduced into ovary cancer cells by liposomes.The expression of VEGF-C protein was detected by inmmnohistochemistry;the adhesion of SKOV3 cells to artifical basement membrane Matrigel was measured by MTT assay.The invasion was evaluated by transwell chambers attached with polycarbonate filters and reconstituted basement membrane(Matrigel).The expression of MMP-2 protein was measured by western blot.Result:In ASODN group,the adhesive rate and the invasive cell numbers were decreased markedly(P