BACKGROUND:The decreased postural control ability due to mild cognitive impairment in elderly people leads to the increased risk of falls.Dual-task is the primary research paradigm for evaluating the relationship between cognition and postural control in the scenes close to real life.The sample entropy of the plantar center of pressure(COP)displacement during standing can represent the complexity of postural control. OBJECTIVE:Based on the COP displacement sample entropy,to analyze the differences in postural stability characteristics and control strategies between older adults with mild cognitive impairment and cognitively normal older adults during the dual-task with postural control and spatial working memory,aiming to explore the impact of cognitive impairment on the postural control ability during standing. METHODS:Sixteen older adults with mild cognitive impairment and 17 cognitively normal older adults were eligible and selected for the study.They completed five test tasks,including spatial working memory,double-feet balance stance,Romberg stance,double-feet balance stance-spatial working memory dual-task,and Romberg stance-spatial working memory dual-task,with three valid completions of each task.The plantar COP data were collected by the Kistler 3D force platform.The indicators included cognitive behavior(cognitive score and reaction time)and kinematic indexes(COP displacement and sample entropy). RESULTS AND CONCLUSION:The older adults with mild cognitive impairment performed the spatial working memory task with the greatest cognitive score and the shortest reaction time,the double-feet balance stance-spatial working memory dual-task with moderate cognitive score and reaction time,and the Romberg stance-spatial working memory dual-task with the smallest cognitive score and the longest reaction time,where the differences were significant among the tasks(P<0.05).In the older adults with mild cognitive impairment,the anterior-posterior and medial-lateral COP displacements were significantly greater,and their sample entropy values were significantly smaller in the double-feet balance stance-spatial working memory dual-task and Romberg stance-spatial working memory dual-task than in the double-feet balance stance and Romberg stance tasks(P<0.05).In the spatial working memory task,there were no significant differences in cognitive score and reaction time between the both groups(P>0.05);however,in the double-feet balance stance-spatial working memory dual-task and Romberg stance-spatial working memory dual-task,cognitive scores were significantly smaller and reaction times were longer in the older adults with mild cognitive impairment compared with the cognitively normal older adults(P<0.05).In the double-feet balance stance-spatial working memory dual-task and Romberg stance-spatial working memory dual-task,the older adults with mild cognitive impairment exhibited significantly greater anterior-posterior and medial-lateral COP displacements and significantly smaller sample entropy values compared with the cognitively normal older adults(P<0.05).All findings indicate that compared with cognitively normal older adults,older adults with mild cognitive impairment exhibit smaller complexity,poorer systematic adaption and decreased automatic regulation of the postural control during performing the dual-tasks,who are more susceptible to spatial working memory interference,leading to the increased risk of falls.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To investigate the epidemic situation of notifiable infectious diseases in Zhejiang Province in 2024, so as to summarize the epidemic characteristics. Methods: Data of notifiable infectious diseases cases in Zhejiang Province from January 1 to December 31, 2024 were collected from the Infectious Disease Surveillance System of Chinese Disease Prevention and Control Information System. The epidemiological characteristics were analyzed according to the classification and transmission routes using the descriptive epidemiological method. Results: A total of 32 types of notifiable infectious diseases with 1 858 695 cases and 392 deaths were reported in Zhejiang Province in 2024, with a reported incidence of 2 804.73/105 and a reported mortality of 0.591 5/100 000. A total of 238 infectious disease public health emergencies were reported, of which 218 (91.60%) occurred in schools and kindergartens. There were 22 types of class A and B notifiable infectious diseases reported, with incidence of 470.62/100 000 and mortality of 0.591 5/100 000. Totally 10 types of class C notifiable infectious diseases, with a reported incidence of 2 334.11/105, and no deaths were reported. Classified by transmission route, respiratory infectious diseases had the highest reported incidence of 2 423.87/100 000, among which influenza exhibited the highest reported incidence of 2 024.22/100 000. The reported incidence of intestinal infectious diseases was 312.94/105, among which the incidence of other infectious diarrhea and hand-foot-mouth disease (HFMD) were high, with reported incidences of 169.52/100 000 and 136.18/100 000, respectively. Blood-borne and sexually transmitted infectious diseases accounted for the largest number of reported deaths, among which AIDS had the highest mortality of 0.424 0/100 000. Natural and insect-borne infectious diseases exhibited a low reported incidence of 1.37/105. The reported incidence of dengue fever was 0.40/100 000, and 95.08% of the cases were imported. Conclusions The reported incidence of respiratory and intestinal infectious diseases and the reported mortality of AIDS were high in Zhejiang Province in 2024. It is recommended to strengthen the prevention and control of infectious diseases such as influenza, other infectious diarrhea, and HMFD in schools and kindergartens.

Objective: To investigate the impact of milk and egg supplementation on body composition and bone mineral density of rural primary school students in Yunnan Province, so as to provide a reference for developing targeted nutritional intervention strategies. Methods: In December 2023, a cluster sampling method was adopted to select students from grades one to three in four primary schools each from Jinggu and Shidian countys of Yunnan Province, as the intervention group (662 students). Additionally, two boarding primary schools were selected from each county based on the principle of matching scale and student numbers as the control group (455 students). Starting from April 2023, the intervention group received 200 mL milk and 50 g eggs during the break on school days for 8 months, while the control group maintained their usual diet behavior. Body composition was measured by using bioelectrical impedance analysis, and distal radial bone mineral density was assessed via dual energy X-ray absorptiometry in April and December 2023. The intervention effects were analyzed by using a difference in-differences approach. Results: The final measurements of body fat percentage, skeletal muscle mass and fat free mass of the intervention group and the control group of primary school students were significantly higher than the baseline values, and the net effect of milk and egg intervention on these body composition indicators was not statistically significant ( P >0.05, both before and after adjustment). In contrast, bone mineral density increased significantly by 0.02 g/cm 2 in the intervention group. The net intervention effect on bone mineral density was statistically significant ( β=0.02, 95%CI =0.00-0.04), and remained significant after model adjustment ( β=0.02, 95%CI =0.00-0.04) (both P < 0.05). Subgroup analysis showed statistically significant effects of the intervention among girls ( β=0.02, 95%CI =0.00-0.04), day students ( β=0.04, 95%CI =0.01-0.07), and students with normal nutritional status ( β=0.02, 95%CI =0.00-0.04) (all P <0.05). No significant effect of milk and egg supplementation was observed on body composition indicators (all P <0.05). Conclusions Milk and egg supplementation can improve bone mineral density among rural primary school students in Yunnan Province. It is recommended that rural school aged children should increase intake of milk and eggs to support growth and development.

Objective To analyze trend changes of disease burden of hypertensive nephropathy (HTN) between 2012 and 2023 in Chongqing, and to provide the suggestion for HTN prevention and treatment. Methods Death cases of HTN from Chongqing death registration data between 2012 and 2023 were analyzed to calculate indicators such as mortality, age standardization mortality rate (ASMR), rate of years of life lost (YLL) and Average years of life lost. The mortality of HTN between male and female, urban and rural were compared by Chi-square test. The trend change was explained by average annual percent of change (AAPC). Results The mortality and standardized mortality of HTN in Chongqing decreased from 5.44/100 000 and 3.13/100 000 in 2012 to 2.76/100 000 and 1.07/100,000 in 2023 respectively. The average annual percent change (AAPC) was -5.41% and -8.35% respectively, and the differences in the change trends were statistically significant (P<0.01). The mortality and standardized mortality of HTN in males and females decreased with AAPC of 5.50%, 8.07%, 5.27% and 8.69% respectively, and the differences in the change trends were all statistically significant (all P< 0.05). From 2012 to 2014, 2019 and 2021, the mortality rate of HTN in rural areas was higher than that in urban areas (all P < 0.05). The mortality and standardized mortality of HTN in rural areas decreased with AAPC of 6.58% and 9.46% respectively, and the differences in the change trends were all statistically significant (all P<0.05). The rate of YLL and standardized YLL of HTN in Chongqing decreased from 96.02/100 000 and 60.42/100 000 in 2012 to 44.98/100 000 and 21.49/100 000 in 2023 respectively. The AAPC was -5.83% and -7.80% respectively, and the differences in the change trends were statistically significant (both P < 0.05). AYLL of HTN were 17.88 years in 2012, and it was 17.08 years in 2023. There were no statistically significant differences in the changes (both P > 0.05). The standardized AYLL of HTN in rural areas increased at an average annual rate of 1.14%, and the difference was statistically significant (P < 0.05). Conclusion The mortality and YLL rate of HNT in Chongqing was lower than it in China. Moreover, its trend was decreased. It should be strengthened early screening and healthy management of HNT.

BACKGROUND: This study aimed to investigate programmed death-ligand 1 tumor proportion score in predicting the safety and efficacy of PD-1/PD-L1 antibody-based therapy in treating patients with advanced non-small cell lung cancer (NSCLC) in a real-world setting. METHODS: This retrospective, multicenter, observational study enrolled adult patients who received PD-1/PD-L1 antibody-based therapy in China and met the following criteria: (1) had pathologically confirmed, unresectable stage III-IV NSCLC; (2) had a baseline PD-L1 tumor proportion score (TPS); and (3) had confirmed efficacy evaluation results after PD-1/PD-L1 treatment. Logistic regression, Kaplan-Meier analysis, and Cox regression were used to assess the progression-free survival (PFS), overall survival (OS), and immune-related adverse events (irAEs) as appropriate. RESULTS: A total of 409 patients, 65.0% ( n = 266) with a positive PD-L1 TPS (≥1%) and 32.8% ( n = 134) with PD-L1 TPS ≥50%, were included in this study. Cox regression confirmed that patients with a PD-L1 TPS ≥1% had significantly improved PFS (hazard ratio [HR] 0.747, 95% confidence interval [CI] 0.573-0.975, P = 0.032). A total of 160 (39.1%) patients experienced 206 irAEs, and 27 (6.6%) patients experienced 31 grade 3-5 irAEs. The organs most frequently associated with irAEs were the skin (52/409, 12.7%), thyroid (40/409, 9.8%), and lung (34/409, 8.3%). Multivariate logistic regression revealed that a PD-L1 TPS ≥1% (odds ratio [OR] 1.713, 95% CI 1.054-2.784, P = 0.030) was an independent risk factor for irAEs. Other risk factors for irAEs included pretreatment absolute lymphocyte count >2.5 × 10 9 /L (OR 3.772, 95% CI 1.377-10.329, P = 0.010) and pretreatment absolute eosinophil count >0.2 × 10 9 /L (OR 2.006, 95% CI 1.219-3.302, P = 0.006). Moreover, patients who developed irAEs demonstrated improved PFS (13.7 months vs. 8.4 months, P <0.001) and OS (28.0 months vs. 18.0 months, P = 0.007) compared with patients without irAEs. CONCLUSIONS A positive PD-L1 TPS (≥1%) was associated with improved PFS and an increased risk of irAEs in a real-world setting. The onset of irAEs was associated with improved PFS and OS in patients with advanced NSCLC receiving PD-1/PD-L1-based therapy.
Humans ; Carcinoma, Non-Small-Cell Lung/metabolism* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Lung Neoplasms/metabolism* ; Aged ; B7-H1 Antigen/metabolism* ; Programmed Cell Death 1 Receptor/metabolism* ; Adult ; Aged, 80 and over ; Immune Checkpoint Inhibitors/therapeutic use*