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 investigate the efficacy and influencing factors of programmed death-1(PD-1)inhibitors in neoadjuvant chemotherapy for triple-negative breast cancer(TNBC).Methods A total of 86 patients with TNBC who received neoadjuvant therapy in The Fifth Medical Center,PLA General Hospital between Jan.1,2018,and Jan.1,2024 and met the inclusion criteria were enrolled,and their clinicopathological data were collected.Based on the neoadjuvant treatment regimens,40 patients who received TP+PD-1 inhibitor(paclitaxel+carboplatin+pembrolizumab)were assigned to TP+PD-1 inhibitor group,and 46 patients who received TP(paclitaxel+carboplatin)were assigned to TP group.The efficacy and incidence of adverse events were compared between the 2 groups after 6 cycles of neoadjuvant therapy.According to the efficacy of neoadjuvant therapy,the patients were further categorized into pathological complete response(pCR)group and non-pCR group.Multivariate logistic stepwise regression analysis was performed to identify independent factors influencing neoadjuvant treatment efficacy.Patients were followed up until Dec.31,2024,and survival analysis was conducted using Kaplan-Meier method.Results There was no significant difference in the objective response rates between the TP+PD-1 inhibitor group and TP group after neoadjuvant therapy(95.0%[38/40]vs 91.3%[42/46],P=0.351].However,the pCR rate was significantly higher in the TP+PD-1 inhibitor group compared with the TP group(65.0%[26/40]vs 43.5%[20/46],P=0.047).There were no significant differences between the 2 groups in terms of disease-free survival,overall survival,or incidence of adverse events(all P＞0.05).Multivariate logistic stepwise regression analysis revealed that the expression of Ki-67 and treatment regimen were influencing factors of pCR after neoadjuvant therapy(odds ratio[OR]=3.382,95%confidence interval[95%CI]1.290-8.868,P=0.013;OR=2.524,95%CI 1.013-6.285,P=0.047).One case of distant metastasis and death occurred in the pCR group,while 8 cases of distant metastasis and 4 deaths occurred in the non-pCR group.The disease-free survival was significantly longer in the pCR group than in the non-pCR group(P=0.031),while the overall survival was similar between the 2 groups(P=0.087).Conclusion Compared with the 6-cycle TP regimen,the 6-cycle TP combined with PD-1 inhibitor regimen can improve the pCR rate in the neoadjuvant treatment of TNBC,with manageable adverse events,suggesting it may serve as a preferred option for TNBC neoadjuvant therapy.Ki-67 expression may serve as a predictive biomarker for achieving pCR.TNBC patients who achieved pCR have better disease-free survival than those who did not.

Objective:To investigate the clinicopathological characteristics and prognostic influencing factors in young breast cancer patients.Methods:A retrospective case series study was conducted. The clinical data of 408 young patients with breast cancer in the Fifth Medical Center of Chinese PLA General Hospital from January 2005 to December 2020 were retrospectively analyzed. The clinical characteristics and prognostic influencing factors of patients were observed. The Kaplan-Meier method was used to analyze overall survival (OS) and disease-free survival (DFS) of patients. Univariate analysis of prognostic factors was conducted by using the log-rank test, and multivariate analysis was performed by using Cox proportional risk model.Results:The median age [ M ( Q1, Q3)] of 408 young female patients with breast cancer was 36 (33, 39) years; the 5-year OS and 5-year DFS rates were 89.9%, 84.0% of 387 breast cancer patients in early and middle stage (except for stage Ⅳ). There were statistically significant differences in the 5-year OS and 5-year DFS rates (excluding stage Ⅳ of DFS) of patients with different clinical staging and molecular subtypes (all P < 0.05). The differences were statistically significant in the 5-year DFS rate of patients with different pathological types and histological grades (all P < 0.05). There were no statistically significant differences in the 5-year OS and DFS rates between the patients receiving breast-conserving surgery or mastectomy (all P > 0.05). The results of multivariate Cox regression analysis indicated that clinical staging ( HR = 3.121, 95% CI: 2.301-4.233, P < 0.001) and molecular classification ( HR = 1.441, 95% CI: 1.126-1.845, P = 0.004) were independent prognostic factors for OS. Additionally, clinical staging ( HR = 3.001, 95% CI: 2.174-4.141, P < 0.001) was identified as an independent prognostic factor for DFS. Conclusions:The prognosis of young breast cancer patients is closely related to clinical staging and molecular subtype. The later the clinical stage is, the poorer prognosis is. Luminal-type breast cancer has a better prognosis than other subtypes. For early-stage breast cancer patients who meet the criteria for breast-conserving surgery, breast-conserving surgery is the first-choice alternative.

Objective To investigate the effect of platelet lysate on mitochondrial function of astrocytes after spinal cord injury.Methods Astrocytoma cells SVGp12 were incubated with different concentrations of H2O2 (100 μmol/L,400 μmol/L,1000 μmol/L,2000 μmol/L),and the OD value was determined by CCK-8 assay. The H2O2 concentration with a cell inhibition rate of about 50％ was selected for follow-up experiments. The cells were incubated with different concentrations of platelet lysate (the volume ratios of platelet lysate to culture medium were 1∶10,1∶40,1∶80,1∶160 and 1∶320) for 24 hours,and the OD value was determined,thereby selecting the optimal concentration of platelet lysate based on the cell survival rate. SVGp12 cells were divided into the normal group (cultured normally without special treat-ment),the model group (incubated with 1000 μmol/L of H2O2 for 3 hours),and the treatment group (incubated with 1000 μmol/L of H2O2 for 3 hours and then treated with platelet lysate at a volume ratio of 1∶80). The mitochondrial function was evaluated by mitochondrial activity staining,mitochondrial membrane potential detection,and mitochondrial permeability transition pore detection. Results After incubating cells with 1000 μmol/L of H2O2 for 3 hours,the cell inhibition rate was 48％,and the OD value decreased significantly (P<0.01),confirming the successful establishment of a model of astrocytes with spinal cord injury. After treated with different concentrations of platelet lysate,the OD values and cell survival rate of the cells were higher than those in the model group (P<0.05). The concentration of platelet lysate (volume ratio of 1∶80) with cell viability of 20％ was selected for follow-up experiments. Platelet lysate could improve the morphology of injured astrocytes. The mitochondrial activity of the treatment group was significantly higher than that of the model group,and the mitochondrial activity of the model group was significantly lower than that of the normal group,with statistically significant differences (P<0.05). The mitochondrial membrane potential in the model group was lower than that in the normal group,and the mitochondrial membrane potential in the treatment group was higher than that in the model group,with statistically significant differences (P<0.01). The mitochondrial permeability in the model group was greater than that in the normal group,and the mitochondrial permeability in the treatment group was smaller than that in the model group,with statistically significant differences (P<0.01).Conclusion Platelet lysate can improve the survival rate of astrocytes after spinal cord injury,enhance the mitochondrial activity of cells,and improve the mitochondrial membrane potential and mitochondrial permeability transition pore opening.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective To investigate the effect of platelet lysate on mitochondrial function of astrocytes after spinal cord injury.Methods Astrocytoma cells SVGp12 were incubated with different concentrations of H2O2 (100 μmol/L,400 μmol/L,1000 μmol/L,2000 μmol/L),and the OD value was determined by CCK-8 assay. The H2O2 concentration with a cell inhibition rate of about 50％ was selected for follow-up experiments. The cells were incubated with different concentrations of platelet lysate (the volume ratios of platelet lysate to culture medium were 1∶10,1∶40,1∶80,1∶160 and 1∶320) for 24 hours,and the OD value was determined,thereby selecting the optimal concentration of platelet lysate based on the cell survival rate. SVGp12 cells were divided into the normal group (cultured normally without special treat-ment),the model group (incubated with 1000 μmol/L of H2O2 for 3 hours),and the treatment group (incubated with 1000 μmol/L of H2O2 for 3 hours and then treated with platelet lysate at a volume ratio of 1∶80). The mitochondrial function was evaluated by mitochondrial activity staining,mitochondrial membrane potential detection,and mitochondrial permeability transition pore detection. Results After incubating cells with 1000 μmol/L of H2O2 for 3 hours,the cell inhibition rate was 48％,and the OD value decreased significantly (P<0.01),confirming the successful establishment of a model of astrocytes with spinal cord injury. After treated with different concentrations of platelet lysate,the OD values and cell survival rate of the cells were higher than those in the model group (P<0.05). The concentration of platelet lysate (volume ratio of 1∶80) with cell viability of 20％ was selected for follow-up experiments. Platelet lysate could improve the morphology of injured astrocytes. The mitochondrial activity of the treatment group was significantly higher than that of the model group,and the mitochondrial activity of the model group was significantly lower than that of the normal group,with statistically significant differences (P<0.05). The mitochondrial membrane potential in the model group was lower than that in the normal group,and the mitochondrial membrane potential in the treatment group was higher than that in the model group,with statistically significant differences (P<0.01). The mitochondrial permeability in the model group was greater than that in the normal group,and the mitochondrial permeability in the treatment group was smaller than that in the model group,with statistically significant differences (P<0.01).Conclusion Platelet lysate can improve the survival rate of astrocytes after spinal cord injury,enhance the mitochondrial activity of cells,and improve the mitochondrial membrane potential and mitochondrial permeability transition pore opening.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

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 investigate the clinicopathological characteristics and prognostic influencing factors in young breast cancer patients.Methods:A retrospective case series study was conducted. The clinical data of 408 young patients with breast cancer in the Fifth Medical Center of Chinese PLA General Hospital from January 2005 to December 2020 were retrospectively analyzed. The clinical characteristics and prognostic influencing factors of patients were observed. The Kaplan-Meier method was used to analyze overall survival (OS) and disease-free survival (DFS) of patients. Univariate analysis of prognostic factors was conducted by using the log-rank test, and multivariate analysis was performed by using Cox proportional risk model.Results:The median age [ M ( Q1, Q3)] of 408 young female patients with breast cancer was 36 (33, 39) years; the 5-year OS and 5-year DFS rates were 89.9%, 84.0% of 387 breast cancer patients in early and middle stage (except for stage Ⅳ). There were statistically significant differences in the 5-year OS and 5-year DFS rates (excluding stage Ⅳ of DFS) of patients with different clinical staging and molecular subtypes (all P < 0.05). The differences were statistically significant in the 5-year DFS rate of patients with different pathological types and histological grades (all P < 0.05). There were no statistically significant differences in the 5-year OS and DFS rates between the patients receiving breast-conserving surgery or mastectomy (all P > 0.05). The results of multivariate Cox regression analysis indicated that clinical staging ( HR = 3.121, 95% CI: 2.301-4.233, P < 0.001) and molecular classification ( HR = 1.441, 95% CI: 1.126-1.845, P = 0.004) were independent prognostic factors for OS. Additionally, clinical staging ( HR = 3.001, 95% CI: 2.174-4.141, P < 0.001) was identified as an independent prognostic factor for DFS. Conclusions:The prognosis of young breast cancer patients is closely related to clinical staging and molecular subtype. The later the clinical stage is, the poorer prognosis is. Luminal-type breast cancer has a better prognosis than other subtypes. For early-stage breast cancer patients who meet the criteria for breast-conserving surgery, breast-conserving surgery is the first-choice alternative.

Objective:To conduct systematic review of mother-infant attachment measurement tools based on Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines.Methods:The researches on mother-infant attachment measurement tools in PubMed, Scopus, Embase, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, WanFang Data and VIP was searched by computer, and the search period was from establishment of the databases to October 30, 2023. Two reviewers trained in evidence-based methodology independently screened the literature, extracted and summarized the data, and systematically evaluated the attributes of the measurement tools using the COSMIN guideline bias risk list and good measurement attribute standards.Results:A total of 35 studies were included, including seven maternal-infant attachment measurement tools. Among them, the content validity quality of the Maternal-fetal Attachment Tool was sufficient (evidence quality was advanced), the structural validity quality was uncertain (evidence quality was intermediate), the internal consistency quality was sufficient (evidence quality was advanced) and the hypothesis testing quality was sufficient (evidence quality was advanced), which was recommended at level A.Conclusions:This study systematically evaluates seven measurement tools for maternal-infant attachment, among which the Maternal-fetal Attachment Tool is class A tool and is recommended for use.