Acute lower respiratory infections in infants and young children, caused by respiratory syncytial virus (RSV), represent a significant global public health challenge, characterized by a substantial disease burden. During the winter and spring seasons, various respiratory viruses tend to co-circulate, leading to increased pressure on pediatric healthcare services due to heightened rates of visits and hospitalizations. Currently, there is no approved RSV vaccine available for children worldwide; however, the development and application of long-acting monoclonal antibodies present a promising avenue for the prevention of RSV in this vulnerable population. In June 2024, Tianjin released"Guidelines for the monoclonal antibody of respiratory syncytial virus in Tianjin (2024 version)", which outlines the promotion of monoclonal antibody administration in vaccination clinics throughout the region. The objective of this paper is to provide reference information that may assist in the formulation and implementation of a national RSV immunization strategy.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.

Objective:To explore the current status of perceived vulnerability and its influencing factors among parents of children with type 1 diabetes mellitus (T1DM) .Methods:A convenience sampling method was used to select 220 parents of children with T1DM from the diabetes care and consultation outpatient clinic at Beijing Children's Hospital, Capital Medical University, from June to November 2023. The parents were surveyed using a general information questionnaire, the Parental Perceived Vulnerability Scale, the Family Care Index, and the Parental Illness Uncertainty Scale.Results:A total of 220 questionnaires were distributed, with 192 valid responses. The total score on the Parental Perceived Vulnerability Scale was (13.91±5.39), the total score on the Family Care Index was (5.39±2.73), and the total score on the Parental Illness Uncertainty Scale was (75.36±17.34). Multiple linear regression analysis showed that whether the child was an only child, family monthly income per capita, parents' religious beliefs, family care level, and illness uncertainty were significant influencing factors for perceived vulnerability ( P<0.05), explaining 36.5% of the variance. Conclusions:Healthcare professionals should pay more attention to parents who have only children, have lower family income, and do not have religious beliefs. Interventions aimed at improving family care levels and reducing illness uncertainty may help decrease the perceived vulnerability among parents of children with T1DM.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.

Objective To analyze the disease burden of chronic kidney diseases (CKD) attributed to high body mass index (BMI) in China from 1992 to 2021 and predict the disease burden for the next decade, and to provide evidence for the prevention and treatment of CKD. Methods Using the Global Burden of Disease (GBD) database and the Joinpoint model, the average annual percentage rate change (AAPC) of the mortality rate and disability-adjusted life year (DALY) rate was calculated to describe and analyze the CKD disease burden attributed to high BMI in China from 1992 to 2021. The ARIMA model was employed to predict and analyze the change trend of the CKD disease burden. Results From 1992 to 2021, the mortality rate and DALY rate attributed to high BMI-induced chronic kidney disease showed an upward trend. Compared to 1992, the attributed number of deaths increased by 324.38%, and DALYs increased by 268.56%; the mortality rate increased by 64.00%, and the DALY rate grew by 51.62%. From 1992 to 2021, the mortality rate and DALY rate for males were lower than those for females, but the growth rate for males exceeded that of females. From 1992 to 2021, the mortality rate and DALY rate of chronic kidney disease attributed to high BMI in China increased with age. The average annual change rate of chronic kidney disease attributed to high BMI in China from 1992 to 2021 (mortality rate: 1.40 per 100,000 (95% CI: 1.04–1.76), DALY rate: 1.43 per 100 000 (95% CI: 1.17–1.70)) was higher than thHuaiyin Normal University, Huai'anher social demographic index (SDI) regions. The ARIMA model predicted that the age-standardized mortality rate increased from 2.91 per 100 000 in 2022 to 3.05 per 100 000 in 2026, and the age-standardized DALY rate increased from 69.65 per 100 000 in 2022 to 73.58 per 100 000 in 2026. Conclusion Chronic kidney disease attributed to high BMI in China is on the rise, and it will continue to grow in the future. The focus of CKD prevention and control should be on males and the elderly, while active measures should be taken to reduce the occurrence and progression of chronic kidney disease.

To analyze the epidemiological characteristics and spatiotemporal distribution of pertussis in Tianjin City from 2010 to 2024. Data on pertussis cases reported in Tianjin between January 1, 2010, and December 31, 2024, were extracted from the Infectious Disease Surveillance and Reporting Information System of the China Information System for Disease Control and Prevention. Descriptive epidemiological methods and Joinpoint regression were used to analyze the temporal distribution and incidence trends of pertussis. Spatial autocorrelation analysis and spatial-temporal scanning were employed to characterize the spatial distribution and clustering patterns. The incidence rate of pertussis in Tianjin exhibited an overall upward trend from 2010 to 2024 (AAPC=17.04%, P<0.001), peaking at 11.70 per 100 000 population in 2023. Prior to 2020, the incidence peaked in July and August, whereas from 2023 to 2024, high incidence periods shifted to autumn and winter. The highest average annual incidence rate occurred in the <1-year-old group (165.06 per 100 000), followed by the 5-9-year-old group (20.14 per 100 000). The groups under 1 year old and 1-4 years old showed a trend of first increasing, then decreasing, and subsequently increasing again, with 2018 and 2021 as turning points ( P<0.05). Global spatial autocorrelation analysis revealed significant spatial clustering of pertussis cases in Tianjin districts in 2017 ( Moran′s I=0.19) and 2023 ( Moran′s I=0.51), with both P<0.05. The spatial-temporal scan analysis identified nine high-incidence clusters, with the primary cluster occurring in 2023, covering Jinnan, Dongli, and Hexi districts ( RR=7.37, LLR=568.21, P<0.001). In summary, the incidence of pertussis in Tianjin City has shown an upward trend from 2010 to 2024. The epidemiological characteristics have significantly changed around 2020, with pronounced seasonal and spatial clustering patterns observed in the past two years.

To analyze the epidemiological characteristics and spatiotemporal distribution of pertussis in Tianjin City from 2010 to 2024. Data on pertussis cases reported in Tianjin between January 1, 2010, and December 31, 2024, were extracted from the Infectious Disease Surveillance and Reporting Information System of the China Information System for Disease Control and Prevention. Descriptive epidemiological methods and Joinpoint regression were used to analyze the temporal distribution and incidence trends of pertussis. Spatial autocorrelation analysis and spatial-temporal scanning were employed to characterize the spatial distribution and clustering patterns. The incidence rate of pertussis in Tianjin exhibited an overall upward trend from 2010 to 2024 (AAPC=17.04%, P<0.001), peaking at 11.70 per 100 000 population in 2023. Prior to 2020, the incidence peaked in July and August, whereas from 2023 to 2024, high incidence periods shifted to autumn and winter. The highest average annual incidence rate occurred in the <1-year-old group (165.06 per 100 000), followed by the 5-9-year-old group (20.14 per 100 000). The groups under 1 year old and 1-4 years old showed a trend of first increasing, then decreasing, and subsequently increasing again, with 2018 and 2021 as turning points ( P<0.05). Global spatial autocorrelation analysis revealed significant spatial clustering of pertussis cases in Tianjin districts in 2017 ( Moran′s I=0.19) and 2023 ( Moran′s I=0.51), with both P<0.05. The spatial-temporal scan analysis identified nine high-incidence clusters, with the primary cluster occurring in 2023, covering Jinnan, Dongli, and Hexi districts ( RR=7.37, LLR=568.21, P<0.001). In summary, the incidence of pertussis in Tianjin City has shown an upward trend from 2010 to 2024. The epidemiological characteristics have significantly changed around 2020, with pronounced seasonal and spatial clustering patterns observed in the past two years.

Acute lower respiratory infections in infants and young children, caused by respiratory syncytial virus (RSV), represent a significant global public health challenge, characterized by a substantial disease burden. During the winter and spring seasons, various respiratory viruses tend to co-circulate, leading to increased pressure on pediatric healthcare services due to heightened rates of visits and hospitalizations. Currently, there is no approved RSV vaccine available for children worldwide; however, the development and application of long-acting monoclonal antibodies present a promising avenue for the prevention of RSV in this vulnerable population. In June 2024, Tianjin released"Guidelines for the monoclonal antibody of respiratory syncytial virus in Tianjin (2024 version)", which outlines the promotion of monoclonal antibody administration in vaccination clinics throughout the region. The objective of this paper is to provide reference information that may assist in the formulation and implementation of a national RSV immunization strategy.

Objective:To evaluate corrective intra-articular osteotomy in the treatment of malreduced tibial pilon fractures in young patients.Methods:A retrospective study was conducted to analyze the 23 patients who had been treated for malreduced tibial pilon fractures by corrective intra-articular osteotomy from January 2013 to December 2022 at Department of Orthopedics, Orthopedic Research Institute, West China Hospital. They were 21 males and 2 females with a median age of 42.9(28.6, 48.1) years. The median interval between intra-articular osteotomy and initial injury or previous surgery was 97 (51, 166) d. The clinical efficacy was assessed by the ankle-hindfoot score of American Orthopaedic Foot and Ankle Society (AOFAS), MOS item short form health survey (SF-36), visual analog scale (VAS) pain score, ankle range of motion (ROM), modified Kellgren-Lawrence arthritis grading, and complications.Results:The median follow-up period was 35.4 (26.2, 72.2) months. At the last follow-up, the AOFAS ankle-hindfoot score, SF-36, VAS pain score, and ankle ROM for all patients were, respectively, (80.7±12.1) points, (72.2±13.9) points, 2.0(0, 3.0) points and 23.0°(18.0°, 30.0°), and the modified Kellgren-Lawrence arthritis grading revealed stage Ⅱ in 17 cases, stage Ⅲ in 5 cases, and stage Ⅳ in 1 case. For the 12 patients with sufficient preoperative data, the AOFAS ankle-hindfoot score [(80.9±10.1) points], SF-36 [(72.9±12.0) points], VAS pain score [2.5 (0.5, 3.0) points], and ankle ROM (26.5°±7.9°) at the last follow-up were significantly better than the preoperative values [(42.2±16.0) points, (36.0±8.8) points, 6.0 (5.5, 6.5) points, and 21.3°±7.0°] (all P<0.05). One patient who experienced significant pain postoperatively planned to receive ankle fusion surgery. No patients experienced deep infection, fracture non-union, or failure of internal fixation. Conclusion:Corrective intra-articular osteotomy may be a viable alternative treatment of malreduced tibial pilon fractures in young patients, because it can effectively improve short-term clinical and radiographic outcomes.

Objective A scoping review was conducted on relevant studies regarding the use of non-invasive brain-computer interface(BCI)technology to promote the rehabilitation of upper limb function in stroke patients,aiming to provide new ideas and references for the rehabilitation nursing of stroke patients.Methods Relevant studies on non-invasive BCI in upper limb functional rehabilitation of stroke patients were searched through computer system including Chinese biomedical literature database,Wanfang database,CNKI,VIP database,Cochrane Library,PubMed,Embase and Web of Science.The search period was from the establishment of the database to December 6,2024,and the included literature was sorted and analyzed.Results A total of 23 articles were included,involving 1 235 stroke patients.Non-invasive brain-computer interface technology mainly includes brain-computer interface based on motion imagination combined with virtual reality technology,functional electrical stimulation and exoskeleton robot.The main evaluation indexes were Fugl-Meyer upper extremity partial scale,modified Barthel index,event related desynchronization intensity,upper limb motor function rating scale,etc.Non-invasive brain-computer interface technology can improve upper limb function,self-care ability and stimulation of cerebral cortex in stroke patients.Conclusion Non-invasive brain-computer interface technology is feasible and effective in upper limb functional rehabilitation training of stroke patients,but there are few relevant studies.In the future,a new era multidisciplinary rehabilitation model can be built,and scientific and practical evaluation indicators were formulated to promote rapid rehabilitation of stroke patients.