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 current status and influencing factors for cognitive frailty among the elderly in community, so as to provide the evidence for early identification and prevention of cognitive frailty among the elderly. Methods: Residents aged 60 years and above with local household registration from 11 counties (cities, districts) in Zhejiang Province from 2021 to 2023 were selected as study participants using a multistage random sampling method. Demographic information, lifestyle, and health status were collected through questionnaire surveys. Depressive symptoms were assessed using the Patient Health Questionnaire. Cognitive frailty was evaluated using the FRAIL Scale and the Mini-Mental State Examination. Factors affecting cognitive frailty among the elderly in community were identified using a multivariable logistic regression model. Results: A total of 16 613 individuals were surveyed, including 7 465 males (44.93%) and 9 148 females (55.07%). The average age was (70.97±7.29) years. A total of 784 individuals were detected with depressive symptoms, with a detection rate of 4.72%. A total of 724 individuals were detected with cognitive frailty, with a detection rate of 4.36%. Multivariable logistic regression analysis showed that females (OR=1.419, 95%CI: 1.179-1.708), aged ≥70 years (70-<80 years old, OR=1.869, 95%CI: 1.490-2.345; ≥80 years old, OR=5.017, 95%CI: 3.935-6.398), without a spouse (OR=1.495, 95%CI: 1.234-1.810), sedentary (OR=2.420, 95%CI: 1.829-3.202), chronic diseases (1 type, OR=1.456, 95%CI: 1.175-1.804; ≥2 types, OR=1.639, 95%CI: 1.314-2.045), and depressive symptoms (OR=4.191, 95%CI: 3.361-5.225) were associated with a higher risk of cognitive frailty among the elderly in community. Conversely, a lower risk of cognitive frailty was seen among the elderly in community who had primary school or above (primary school, OR=0.512, 95%CI: 0.389-0.676; junior high school or above, OR=0.464, 95%CI: 0.354-0.608), engaged in physical exercise (OR=0.396, 95%CI: 0.291-0.539), and were reported average or good self-rated health status (average, OR=0.641, 95%CI: 0.475-0.866; good, OR=0.150, 95%CI: 0.109-0.208). Conclusions The detection rate of cognitive frailty among the elderly in community is relatively low and is influenced by demographic factors such as gender, age, education level, as well as lifestyle like sedentary and physical exercise, and health status. It is recommended to reduce the risk of cognitive frailty among the elderly through multidimensional interventions, including health education, promotion of healthy lifestyles, and enhanced mental health support.

Objective: To establish a nomogram prediction model for Alzheimer's disease (AD) among the elderly in community, so as to provide the evidence for early screening and prevention of AD. Methods: Based on the Zhejiang Healthy Aging Cohort Study, the elderly aged 60-90 years who completed the baseline survey were selected as the study subjects. Follow-up surveys were conducted from 2015 to 2016 and from 2019 to 2021. Sociodemographic characteristics, lifestyle factors, medical history, and waist circumference were collected through questionnaire surveys and physical examinations. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), and a diagnosis of AD was made based on the Alzheimer's Disease Assessment Scale-Cognitive Subscale and medical history. The participants were randomly divided into training and validation sets at 8∶2 ratio. LASSO regression was used to screen for predictive factors. Multivariable logistic regression model was used to analyze predictive factors and construct a nomogram. The model was analyzed and evaluated using the receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 6 988 elderly were included at baseline, with a mean age of (68.19±6.63) years. There were 3 438 males (49.20%), and 3 550 females (50.80%). The median follow-up duration was 4.90 (interquartile range, 3.80) years, with 817 new cases of AD were identified, yielding an incidence of 11.69%. LASSO regression and multivariable logistic regression showed that age (OR=1.017, 95%CI: 1.005-1.030), gender (female, OR=1.820, 95%CI: 1.533-2.165), educational level (primary school, OR=0.813, 95%CI: 0.673-0.980), physical exercise (not active, OR=1.572, 95%CI: 1.260-1.980), dining companions (spouse and children, OR=0.771, 95%CI: 0.598-0.995), baseline MMSE score (OR=0.843, 95%CI: 0.821-0.866), and waist circumference (OR=0.981, 95%CI: 0.973-0.989) were risk predictors for AD among the elderly in community. The prediction model demonstrated an area under the ROC curve of 0.740 (95%CI: 0.698-0.783) in the validation set, with a sensitivity of 0.731 and a specificity of 0.667. DCA indicated that when the probability threshold was 0.060 to 0.325, the clinical net benefit was relatively high. Conclusion The AD risk prediction model constructed in this study has good discrimination and clinical practicability, can be used for early screening of AD among the elderly in the community.

BACKGROUND: Alpha-glucosidase inhibitors or dipeptidyl peptidase-4 inhibitors are both hypoglycemia agents that specifically impact on postprandial hyperglycemia. We compared the effects of acarbose and sitagliptin add on to metformin on time in range (TIR) and glycemic variability (GV) in Chinese patients with type 2 diabetes mellitus through continuous glucose monitoring (CGM). METHODS: This study was a randomized, open-label, active-con-trolled, parallel-group trial conducted at 15 centers in China from January 2020 to August 2022. We recruited patients with type 2 diabetes aged 18-65 years with body mass index (BMI) within 19-40 kg/m 2 and hemoglobin A1c (HbA1c) between 6.5% and 9.0%. Eligible patients were randomized to receive either metformin combined with acarbose 100 mg three times daily or metformin combined with sitagliptin 100 mg once daily for 28 days. After the first 14-day treatment period, patients wore CGM and entered another 14-day treatment period. The primary outcome was the level of TIR after treatment between groups. We also performed time series decomposition, dimensionality reduction, and clustering using the CGM data. RESULTS: A total of 701 participants received either acarbose or sitagliptin treatment in combination with metformin. There was no statistically significant difference in TIR between the two groups. Time below range (TBR) and coefficient of variation (CV) levels in acarbose users were significantly lower than those in sitagliptin users. Median (25th percentile, 75th percentile) of TBR below target level <3.9 mmol/L (TBR 3.9 ): Acarbose: 0.45% (0, 2.13%) vs . Sitagliptin: 0.78% (0, 3.12%), P = 0.042; Median (25th percentile, 75th percentile) of TBR below target level <3.0 mmol/L (TBR 3.0 ): Acarbose: 0 (0, 0.22%) vs . Sitagliptin: 0 (0, 0.63%), P = 0.033; CV: Acarbose: 22.44 ± 5.08% vs . Sitagliptin: 23.96 ± 5.19%, P <0.001. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV (group with small wave, moderate wave and big wave). No significant difference was found in the complexity of glucose time series index (CGI) between acarbose users and sitagliptin users. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV. CONCLUSIONS: Acarbose had slight advantages over sitagliptin in improving GV and reducing the risk of hypoglycemia. Time series analysis of CGM data may predict GV and the risk of hypoglycemia. TRIAL REGISTRATION Chinese Clinical Trial Registry: ChiCTR2000039424.
Humans ; Metformin/therapeutic use* ; Sitagliptin Phosphate/therapeutic use* ; Acarbose/therapeutic use* ; Diabetes Mellitus, Type 2/blood* ; Middle Aged ; Male ; Female ; Adult ; Blood Glucose/drug effects* ; Hypoglycemic Agents/therapeutic use* ; Aged ; Glycated Hemoglobin/metabolism* ; Adolescent ; Young Adult ; China ; East Asian People

Objective: To investigate epidemiological characteristics of notifiable infectious diseases in Zhejiang Province in 2023, so as to provide the evidence for strengthening prevention and control of infectious diseases. Methods: Data pertaining to notifiable infectious diseases reported in Zhejiang Province in 2023 were retrieved from the Infectious Disease Surveillance System of Chinese Disease Prevention and Control Information System. The incidence and mortality were analyzed according to the classification of notifiable infectious diseases and transmission routes, and epidemiological characteristics of infectious diseases were descriptively analyzed. Results: Thirty types of notifiable infectious diseases with 2 955 699 cases and 427 deaths were reported in Zhejiang Province in 2023, with a reported incidence rate of 4 493.93/105 and a reported mortality rate of 0.649 2/105. A total of 679 notifiable infectious disease emergencies were reported, with 26 514 cases and 1 case death (rabies). The emergencies mainly occurred in schools and preschool institutions, with 621 cases accounting for 91.46%. There were 1 case of cholera reported in class A notifiable infectious diseases and no death, 22 types of class B notifiable infectious diseases, with a reported incidence rate of 552.46/105 and a reported mortality rate of 0.644 7/105, and 8 types of class C notifiable infectious diseases, with a reported incidence rate of 3 941.48/105 and a reported mortality rate of 0.004 6/105. The incidence rates of respiratory, intestinal, blood-borne and sexually transmitted, natural and insect-borne infectious diseases were 4 028.67/105, 381.59/105, 81.15/105 and 1.35/105, respectively, according to transmission routes. Influenza (3 561.78/105) and COVID-19 (423.77/105) reported the highest incidence, and AIDS (0.477 4/105) and tuberculosis (0.130 8/105) reported the highest mortality. Conclusion The incidence rates of respiratory and intestinal infectious diseases were high in Zhejiang Province in 2023, and schools and preschool institutions were the main places of diseases occurred.

Objective: To investigate the characteristics of public health emergencies in Zhejiang Province in 2023, so as to provide the reference for public health risk management. Methods: Data of public health emergencies and related information in Zhejiang Province from January 1 to December 31, 2023 was collected through Emergency Public Reporting System of Chinese Disease Prevention and Control Information System. Attack rates, disease types, distribution of time and places, and responses were descriptively analyzed. Results: A total of 718 public health emergencies were reported in 2023 in Zhejiang Province, and all were infectious disease events. There were 27 128 reported cases and 3 deaths, with an attack rate of 3.22%. The top five infectious diseases with the highest number of reported events were influenza, norovirus infection, monkeypox, varicella and hand, foot and mouth disease, accounting for 95.54% of total reported events. There were 355 public health emergencies with less than 30 cases each, accounting for 49.44%. The reported emergencies peaked from February to March (186 events, 25.91%) and from November to December (327 events, 45.54%), and mainly occurred in schools and preschool institutions (651 events, 90.67%). The median responding time, reporting time and duration of emergencies were 6.50 (interquartile range, 10.84) h, 0.53 (interquartile range, 0.63) h and 7.24 (interquartile range, 11.71) d, respectively. Conclusion Public health emergencies in Zhejiang Province in 2023 were mainly caused by influenza and norovirus infection, with February, March, November and December being the peak reporting periods, and schools and preschool institutions being the main places where these events occurred.

Objective:To investigate the medical narrative competence of pediatric staff, and analyze its influencing factors and correlation with psychological resilience, and to discuss strategies to improve narrative competence.Methods:From January 11 to February 25, 2022, by convenience sampling, we sampled pediatric personnel and those on refresher training at Children's Hospital, Zhejiang University School of Medicine for a questionnaire survey involving general information, the narrative competence scale, and the 14-item resilience scale. With the use of SPSS 26.0, the narrative competence of different populations was compared, and factors affecting narrative competence were determined through Pearson correlation analysis and multiple regression analysis.Results:A total of 361 valid questionnaires were included in this study, and there was significant differences in the narrative competence score between different ages, professional titles, working years, income levels, and whether they wrote parallel charts ( P<0.05). The total score of narrative competence of pediatric staffs was (147.13±18.76), and positively correlated with the total resilience score and the score of each dimension ( P≤0.001). The regression analysis showed that writing parallel charts and resilience could explain 53.10% of the variation in narrative competence ( P<0.001). Conclusions:Pediatric staff's narrative competence is at low or intermediate levels. Parallel chart writing and resilience training can improve narrative competence and promote a harmonious doctor-patient relationship.

To achieve early warning of dengue fever from multiple sources and improve the ability to detect and identify dengue fever outbreaks timely, we took Hangzhou as an example and proposed the possibility of early warning of dengue fever. This study divided early warning of dengue fever into three stages: early warning of epidemic source, epidemic symptom, and epidemic. The early warning of epidemic source and epidemic symptom were emphasized to provide reference for other similar studies. Our findings showed that the staged warning of dengue fever was meaningful. Combining the source early warning with the symptom early warning could improve the sensitivity of the warning. Monthly warning can be used as a supplement to weekly warning.

To achieve early warning of dengue fever from multiple sources and improve the ability to detect and identify dengue fever outbreaks timely, we took Hangzhou as an example and proposed the possibility of early warning of dengue fever. This study divided early warning of dengue fever into three stages: early warning of epidemic source, epidemic symptom, and epidemic. The early warning of epidemic source and epidemic symptom were emphasized to provide reference for other similar studies. Our findings showed that the staged warning of dengue fever was meaningful. Combining the source early warning with the symptom early warning could improve the sensitivity of the warning. Monthly warning can be used as a supplement to weekly warning.

Objective: To investigate the prevalence and influencing factors of depressive symptoms among grassroots healthcare workers in Zhejiang Province, so as to provide insights into improving their mental health. Methods: Grassroots healthcare workers of community health service centers and township health centers were sampled from one county (city, district) in each of 11 cities in Zhejiang Province using a convenience sampling method from December 2022 to January 2023. Participants' gender, age, educational level and average daily sleep duration in the past week were collected through questionnaires, and depression symptoms was investigated according to Self-rating Depression Scale. Factors affecting the depressive symptoms were identified using a multivariable logistic regression model. Results: A total of 1 946 questionnaires were distributed, and 1 945 valid questionnaires were recovered, with an effective response rate of 99.95%. There were 444 boys, accounting for 22.83%, and 1 501 girls, accounting for 77.17%. The median age was was 36 (interquartile range, 44) years. There were 786 healthcare workers detected with depressive symptoms, with a prevalence rate of 40.41%, and the prevalence rates of mild, moderate and severe depressive symptoms were 26.94%, 10.49% and 2.98%, respectively. Multivariable logistic regression analysis identified age (50 years and older, OR=0.572, 95%CI: 0.386-0.846), annual income (100 000 to 149 999 Yuan, OR=0.780, 95%CI: 0.635-0.958; 150 000 to 199 999 Yuan, OR=0.463, 95%CI: 0.282-0.760; 200 000 Yuan and above, OR=0.303, 95%CI: 0.098-0.937), vocation (nurse, OR=1.593, 95%CI: 1.252-2.027) and sleep duration (less than 7 hours, OR=2.164, 95%CI: 1.768-2.648) as factors affecting depressive symptoms among grassroots healthcare workers in Zhejiang Province. Conclusions The prevalence of depressive symptoms among grassroots healthcare workers in Zhejiang Province is 40.41%. Age, annual income, job and sleep duration may affect the development of depressive symptoms among grassroots healthcare workers.