Objective: To investigate the Alzheimer's disease (AD) influencing factors among the elderly, so as to provide a basis for early prevention and intervention. Methods: From March to June 2024, participants aged 60 years and above from a sub-district in Haishu District, Ningbo City, Zhejiang Province were selected using a convenience sampling method. Data on demographics, lifestyle, and health status were collected through questionnaire surveys. Depressive symptoms were evaluated using the short-form Geriatric Depression Scale. The Chinese Mini-Mental State Examination (MMSE) was used for the initial screening of AD, and individuals who screened positive were further diagnosed by psychiatrists. Factors affecting AD among the elderly were analyzed using a multivariable logistic regression model. Results: A total of 3 644 individuals were surveyed, comprising 1 526 males (41.88%) and 2 118 females (58.12%). The mean age was (71.85±7.44) years. AD was detected in 200 cases, with a detection rate of 5.49%. Multivariable logistic regression analysis showed that individuals aged ≥65 years (65-<70 years, OR=3.012, 95%CI: 1.007-9.012; 70-<75 years, OR=3.131, 95%CI: 1.059-9.260; 75-<80 years, OR=5.779, 95%CI: 1.989-16.784; ≥80 years, OR=16.810, 95%CI: 5.926-47.685), those who were unmarried, divorced, or widowed (OR=1.973, 95%CI: 1.383-2.815), those with hearing loss (OR=1.573, 95%CI: 1.128-2.193), those with diabetes mellitus (OR=1.958, 95%CI: 1.362-2.814), and those with depressive symptoms (OR=4.143, 95%CI: 2.997-5.728) had a higher risk of AD. Conversely, individuals with an educational level of primary school or above (primary school, OR=0.579, 95%CI: 0.401-0.835; junior high school or above, OR=0.438, 95%CI: 0.259-0.741), and those who engaged in regular physical exercise (OR=0.414, 95%CI: 0.264-0.649) had a lower risk of AD. Conclusions The detection rate of AD was relatively high among the elderly in Haishu District. AD among the elderly was related to age, educational level, marital status, physical exercise, hearing loss, diabetes mellitus, and depressive symptoms.

OBJECTIVE To investigate the serotypes and antimicrobial resistance rate of clinically isolated Salmonel-la in a children's hospital in Suzhou,and to provide reference for the treatment of salmonellosis.METHOD Totally 177 strains of Salmonella isolated from Children's Hospital of Wujiang District from Jan.2021 to Dec.2023 were collected,and the results of serotypes and drug sensitivity of Salmonella were analyzed.RESULTS The male to fe-male isolation rate of Salmonella was 1.39∶1,with a median age of children infection at 1.3(0.8,2.3)years.The highest number of Salmonella strains were isolated in the month of Jun.,followed by Jul.,Aug.,Sep.,Oct.and May,collectively accounting for 82.49％of all isolates.Acute gastroenteritis was manifested in 142 cases(80.22％),with respiratory tract infections in 38 cases(21.47％)and septicemia in 7 cases(3.95％).The differ-ence in detection rates across the three years was not statistically significant(P=0.806).Salmonella Typhimuri-um was the predominant serotype,representing 54.24％of all isolates.The antimicrobial drug with the highest rate of resistance in Salmonella was ampicillin(71.35％,122/171),followed by sulfamethoxazole/metronidazole(43.60％,75/172),and ampicillin/sulbactam(30.23％,52/172),and no imipenem resistant strains were found.29.07％(50/172)of strains showed multidrug resistance.CONCLUSIONS Boys under three years of age are sus-ceptible to Salmonella infections in summer and fall in this region,with Salmonella Typhimurium being the pre-dominant serotype.Clinical attention should be paid to the characteristics of Salmonella infection and drug resist-ance,as well as the early diagnosis and rational use of antimicrobial drugs.

Objective:To establish a prediction model for larger for gestational age(LGA)infants in pregnant women with gestational diabetes mellitus(GDM)in order to improve pregnancy outcomes.Methods:A retro-spective analysis was performed on the clinical data of 338 pregnant women with GDM who underwent routine prenatal examinations and were hospitalized for delivery in the First Affiliated Hospital of Nanjing Medical Universi-ty from January 1,2018 to December 31,2023.Pregnant women with complete HbAlc data during pregnancy were divided into a training set of 241 cases and a validation set of 97 cases.Lasso and Logistic regression analysis and variable screening combined with previous clinical experience were used to construct a nomogram model,and its degree of differentiation and calibration were evaluated.Result:①By Lasso regression analysis,age,family histo-ry of type 2 diabetes,body mass index(BMI),gestational weight gain(GWG),fasting blood glucose(FBG),postprandial 1-hour blood glucose(1h PBG),HbAlc,free triiodothyronine(FT3),free thyroxine(FT4)and insulin treatment were important predictors of LGA.②Multivariate Logistic regression analysis showed that GWG and HbAlc were independent risk factors for LGA in pregnant women with GDM(OR＞1,P＜0.05).③Combined with Lasso and Logistic regression analysis,previous literature reports and clinical experience,BMI,GWG,FBG,1h PBG,HbAlc and FT3 were selected as independent variables,and LGA as dependent variable.A nomogram pre-diction model was constructed in the training set,and the C-index of 0.71.ROC curve analysis showed that the AUC values of the training set and the validation set were 0.709 and 0.700,respectively,and the discriminative a-bility of the model was acceptable.The calibration curve of the model was close to the ideal curve,and the clinical decision curve suggested that the model showed a positive net benefit at the threshold of 10％to 50％.Conclu-sion:The predictive model has certain value in predicting the occurrence of LGA in pregnant women with GDM,and provides help for early diagnosis,treatment and clinical intervention of GDM and its complications,in order to improve perinatal and long-term adverse outcomes.

OBJECTIVE To investigate the serotypes and antimicrobial resistance rate of clinically isolated Salmonel-la in a children's hospital in Suzhou,and to provide reference for the treatment of salmonellosis.METHOD Totally 177 strains of Salmonella isolated from Children's Hospital of Wujiang District from Jan.2021 to Dec.2023 were collected,and the results of serotypes and drug sensitivity of Salmonella were analyzed.RESULTS The male to fe-male isolation rate of Salmonella was 1.39∶1,with a median age of children infection at 1.3(0.8,2.3)years.The highest number of Salmonella strains were isolated in the month of Jun.,followed by Jul.,Aug.,Sep.,Oct.and May,collectively accounting for 82.49％of all isolates.Acute gastroenteritis was manifested in 142 cases(80.22％),with respiratory tract infections in 38 cases(21.47％)and septicemia in 7 cases(3.95％).The differ-ence in detection rates across the three years was not statistically significant(P=0.806).Salmonella Typhimuri-um was the predominant serotype,representing 54.24％of all isolates.The antimicrobial drug with the highest rate of resistance in Salmonella was ampicillin(71.35％,122/171),followed by sulfamethoxazole/metronidazole(43.60％,75/172),and ampicillin/sulbactam(30.23％,52/172),and no imipenem resistant strains were found.29.07％(50/172)of strains showed multidrug resistance.CONCLUSIONS Boys under three years of age are sus-ceptible to Salmonella infections in summer and fall in this region,with Salmonella Typhimurium being the pre-dominant serotype.Clinical attention should be paid to the characteristics of Salmonella infection and drug resist-ance,as well as the early diagnosis and rational use of antimicrobial drugs.

Diabetic foot is one of the most common and serious chronic complications in diabetic patients.With the advancement of digital healthcare,digital therapy has been gradually implemented and promoted among diabetic foot patients as an emerging tool with the advantages of safety,efficiency,and intelligence that can make up for the shortcomings of traditional diabetic foot risk assessment,health education,and self-management.This study provides an overview of digital therapeutics,summarizes its application in patients with diabetic foot,and proposes relevant recommendations,aiming to provide a reference for improving the quality of life and satisfaction of patients with diabetic foot and reducing the recurrence of diabetic foot.

As an independent first-level discipline,an appropriate classification of nursing science is significant.In China,each nursing degree-granting institution has developed its own secondary-level discipline directions based on its research characteristics and strengths,with varying names and research scopes.Furthermore,there is no unified global classification system.This paper,based on the characteristics of nursing as a discipline and combined with China's discipline classification principles,used literature analysis,comprehensive classification,philosophical reflection,logical reasoning,and expert consultation methods to explore the connotation of nursing,its unique research objects and scope,and to construct a secondary-level discipline classification system for nursing science that is suitable for China's national conditions.The paper also discussed the challenges faced by the nursing discipline and its future development directions,providing theoretical and practical guidance for the development of the nursing discipline.

Objective:To investigate the predictive role of intrapartum ultrasound indicators on the difficulty of vacuum-assisted delivery.Methods:A prospective cohort study was conducted. The study subjects were singleton pregnant women hospitalized for delivery at the Third Affiliated Hospital of Sun Yat-sen University from February 2021 to December 2022, who had indications for vacuum-assisted delivery, and completed intrapartum ultrasound examination within 10 minutes before the procedure. Intrapartum ultrasound indicators included fetal position, angle of progression (AOP), and head-perineum distance (HPD). Based on the difficulty of vacuum-assisted delivery, the subjects were divided into easy and difficult groups. The fetal position, AOP, and HPD before vacuum-assisted delivery and delivery outcomes were compared between the two groups to explore the correlation and predictive value of intrapartum ultrasound indicators on the difficulty of vacuum-assisted delivery. Statistical and predictive value analyses were performed using independent-sample t-test, U-test, Chi-square (or Fisher's exact) test, logistic regression analysis, and receiver operating characteristic (ROC) curve. Results:A total of 162 cases were included in the study, with 120 in the easy and 42 in the difficult groups. The age of the 162 pregnant women ranged from 20 to 44 years, with an average of (30.6±3.9) years; 107 cases (66.0%) were first pregnancies, and 139 cases (85.8%) were primipara. (1) The fetal head stations in the difficult and easy groups were 2.3 (2.0-2.5) cm and 2.0 (2.0-2.5) cm, respectively, with no statistically significant difference ( P>0.05). The AOP during the interval and contraction periods and the ΔAOP in the difficult group were smaller than those in the easy group [ (138.1±8.8) vs. (143.8±7.9), t=3.89; (148.7±9.3) vs. (157.9±8.9), t=5.67; and (10.6±6.4) vs. (14.1±6.3), t=3.08; all P<0.01], while the HPD during the interval and contraction periods and ΔHPD in the difficult group were greater than those in the easy group [(3.4±0.5) cm vs. (3.2±0.4) cm, t=－2.69; (2.8±0.5) cm vs. (2.4±0.5) cm, t=－4.70; (－0.5±0.4) cm vs. (－0.8±0.5) cm, t=－2.83; all P<0.01]. (2) In the difficult group, seven cases required forceps delivery after 2-3 vacuum cup detachments; in the easy group, all cases were successfully delivered after 1-2 vacuum tractions. The duration of vacuum extraction was longer in the difficult group [7.0 (6.0-10.0) min vs. 3.0 (2.0-3.0) min, Z=9.65] (all P<0.001). (3) In the difficult group, four cases had severe maternal and neonatal delivery complications, including two cases of shoulder dystocia, one case of vesicovaginal fistula after failed vacuum extraction converted to forceps delivery, and one case of third-degree perineal tear after failed vacuum extraction converted to forceps delivery. In the easy group, one case had shoulder dystocia with mild neonatal asphyxia. The rate of vaginal tears in the difficult group was higher than in the easy group [47.6% (20/42) vs. 29.2% (35/120)] ( χ2=4.72, P=0.030). The incidence of postpartum hemorrhage in the difficult and easy groups was 11.9% (5/42) and 8.3% (10/120), respectively, with no statistically significant difference (Fisher's exact test, P=0.539). No cases required cesarean section after failed vacuum extraction. The incidence of scalp hematoma was higher in the difficult group than in the easy group [28.6% (12/42) vs. 11.7% (14/120), χ2=6.60, P=0.010]. The two groups had no statistically significant differences in the incidence of other neonatal complications. (4) Multivariate logistic regression analysis identified three independent variables associated with difficult vacuum extraction: maternal age, AOP and HPD during contraction. The ROC curve was used to test the predictive value of the multivariate model for difficult vacuum extraction, with an area under the curve of 0.808 (95% CI: 0.734-0.882) ( P<0.001). When the maximum Youden index (0.487) was taken, the sensitivity and specificity of the model in predicting difficult vacuum extraction were 0.762 (95% CI: 0.696-0.828) and 0.725 (95% CI: 0.656-0.794), respectively. Conclusions:AOP and HPD are related to the difficulty of vacuum extraction. The risk of difficult vacuum extraction increases with advanced maternal age, smaller AOP and larger HPD during the contraction phase.

Objective:To establish a prediction model for larger for gestational age(LGA)infants in pregnant women with gestational diabetes mellitus(GDM)in order to improve pregnancy outcomes.Methods:A retro-spective analysis was performed on the clinical data of 338 pregnant women with GDM who underwent routine prenatal examinations and were hospitalized for delivery in the First Affiliated Hospital of Nanjing Medical Universi-ty from January 1,2018 to December 31,2023.Pregnant women with complete HbAlc data during pregnancy were divided into a training set of 241 cases and a validation set of 97 cases.Lasso and Logistic regression analysis and variable screening combined with previous clinical experience were used to construct a nomogram model,and its degree of differentiation and calibration were evaluated.Result:①By Lasso regression analysis,age,family histo-ry of type 2 diabetes,body mass index(BMI),gestational weight gain(GWG),fasting blood glucose(FBG),postprandial 1-hour blood glucose(1h PBG),HbAlc,free triiodothyronine(FT3),free thyroxine(FT4)and insulin treatment were important predictors of LGA.②Multivariate Logistic regression analysis showed that GWG and HbAlc were independent risk factors for LGA in pregnant women with GDM(OR＞1,P＜0.05).③Combined with Lasso and Logistic regression analysis,previous literature reports and clinical experience,BMI,GWG,FBG,1h PBG,HbAlc and FT3 were selected as independent variables,and LGA as dependent variable.A nomogram pre-diction model was constructed in the training set,and the C-index of 0.71.ROC curve analysis showed that the AUC values of the training set and the validation set were 0.709 and 0.700,respectively,and the discriminative a-bility of the model was acceptable.The calibration curve of the model was close to the ideal curve,and the clinical decision curve suggested that the model showed a positive net benefit at the threshold of 10％to 50％.Conclu-sion:The predictive model has certain value in predicting the occurrence of LGA in pregnant women with GDM,and provides help for early diagnosis,treatment and clinical intervention of GDM and its complications,in order to improve perinatal and long-term adverse outcomes.

Diabetic foot is one of the most common and serious chronic complications in diabetic patients.With the advancement of digital healthcare,digital therapy has been gradually implemented and promoted among diabetic foot patients as an emerging tool with the advantages of safety,efficiency,and intelligence that can make up for the shortcomings of traditional diabetic foot risk assessment,health education,and self-management.This study provides an overview of digital therapeutics,summarizes its application in patients with diabetic foot,and proposes relevant recommendations,aiming to provide a reference for improving the quality of life and satisfaction of patients with diabetic foot and reducing the recurrence of diabetic foot.

As an independent first-level discipline,an appropriate classification of nursing science is significant.In China,each nursing degree-granting institution has developed its own secondary-level discipline directions based on its research characteristics and strengths,with varying names and research scopes.Furthermore,there is no unified global classification system.This paper,based on the characteristics of nursing as a discipline and combined with China's discipline classification principles,used literature analysis,comprehensive classification,philosophical reflection,logical reasoning,and expert consultation methods to explore the connotation of nursing,its unique research objects and scope,and to construct a secondary-level discipline classification system for nursing science that is suitable for China's national conditions.The paper also discussed the challenges faced by the nursing discipline and its future development directions,providing theoretical and practical guidance for the development of the nursing discipline.