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.

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 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 identify the factors affecting microvascular complications among patients with type 2 diabetes (T2DM), so as to provide insights into the management of microvascular complications of T2DM. Methods: T2DM patients hospitalized in the Department of Endocrinology of a tertiary hospital in Weifang City, Shandong Province from January 2021 to January 2022 were enrolled, and subjects' basic information, lifestyle and medical history were collected using questionnaire surveys. Fasting insulin, fasting blood glucose and glycated hemoglobin were measured, and factors affecting microvascular complications were identified among T2DM patients using a multivariable logistic regression model and a decision tree model. Results: Totally 1 003 T2DM inpatients were enrolled, including 515 men (51.35%) and 488 women (48.65%), and the prevalence of microvascular complications was 40.18%. Multivariable logistic regression analysis showed that age of 60 years and older (OR=2.510, 95%CI: 1.441-4.374), T2DM duration of 10 years and longer (OR=3.205, 95%CI: 2.242-4.581), fasting insulin of lower than 3.21 μIU/mL (OR=1.749, 95%CI: 1.239-2.469), using of agents or insulin to control blood glucose (OR=1.880, 95%CI: 1.143-3.092), glycated hemoglobin level of 7% and higher (OR=1.751, 95%CI: 1.172-2.615) as factors affecting microvascular complications among T2DM patients. Decision tree analysis identified course of T2DM as a major factor affecting the risk of microvascular complications among T2DM patients, and the prevalence of microvascular complications was 70.22% among T2DM patients with disease course of 10 years and longer and fasting insulin of lower than 3.21 μIU/mL or 16.32 μIU/mL and higher, 44.23% among T2DM patients with disease course of 5 to 10 years and at ages of 60 years and older, and 43.10% among T2DM patients with disease course of less than 5 years and fasting insulin of lower than 3.21 μIU/mL. Conclusion Advanced age, long course of T2DM, low fasting insulin and high glycated hemoglobin may increase the risk of microvascular complications among T2DM patients.

Objective To demonstrate the changes in flexor digitorum and extensor digitorum tension in the affected hands with shear-wave elastography (SWE) before and after manual digitorum sensory stimulation (MDSS) in hemiplegic patients with stroke. Methods A total of 51 hemiplegic post-stroke inpatients in the Department of Rehabilitation Medicine in Second Hospital of Anhui Medical University from April to June, 2020, underwent MDSS completed by a researcher who used a bare thumb and index finger to squeeze each nail bed as well as the sides of each fingertip in the affected hand. The stimulation intensity was the minimum that could cause finger extension without obvious pain, and the interval between two stimulations was five to ten seconds. Muscular tension of the flexor digitorum superficialis, flexor digitorum profundus, flexor pollicis longus and extensor digitorum were assessed with modified Ashworth Scale (MAS) and shear-wave velocity (SWV) of SWE on the affected side before and immediately after MDSS. MAS score was -1 as low muscular tension. Results The MAS scores of all the muscles significantly reduced after MDSS (|Z| > 2.843, P < 0.001); while the changes of SWV were not significantly in all the muscles with initially MAS score of 0 or -1 (t < 1.052, P > 0.05), and it reduced in those muscles with initial MAS scores of one to three (t > 2.672, P < 0.05). The SWV were positively correlated with the MAS scores both before and after MDSS (r > 0.334, P < 0.05). Conclusion MDSS can effectively, immediately, and safely relieves muscle spasms of the flexor digitorum and facilitate active finger extension in the affected hand for hemiplegic patients with stroke. SWE is useful for quantitatively and objectively evaluating muscular tension in the affected hand for hemiplegic patients with stroke.

Objective:To evaluate the value of measles IgG antibody avidity assay in identifying the measles cases.Methods:Data from the Measles Surveillance Information System was used to collect laboratory confirmed or discarded cases in 2013-2015, and then tracing back the blood specimens from all measles network laboratories in Tianjin. Measles antibody avidity assay was used to detect and to redefine cases from the discarded ones.Results:A total of 326 measles cases including 267 laboratory-confirmed and 59 discarded cases were enrolled into this study, with 92.33% (301/326) of them aged ≥20 years. Result from the measles IgG antibody avidity assay showed that the ratio of high-avidity was 91.23%(52/57) of the discarded cases, which was significantly higher than 66.95% (158/236) of the laboratory confirmed cases ( χ2=13.33, P<0.001). According to the case criterion, 15.25% (9/59) of the discarded cases were redefined as measles cases. Eight out of the nine cases were high-avidity with measles containing vaccine (MCV) vaccination history that named as SVF cases. One in nine cases with low-avidity was with typical clinical symptomatic measles but with no vaccination history of MCV. Conclusion:Measles IgG antibody avidity assay could provide reference serological evidence to reduce the error from those discarded cases caused by false negative results on IgM antibody, when diagnosing the measles cases.

Objective: To study the application of measles specific IgM and IgG antibody detection in classification of primary vaccination failure (PVF) and secondary vaccination failure (SVF). Methods: Measles surveillance information system was used to collect measles confirmed cases in Tianjin, 2013-2015, and their blood specimens were collected, totally 284 cases were enrolled. Measles IgM and IgG were detected with enzyme-linked immunosorbent assay (ELISA), and the relative avidity index (RAI) was used to express the result of measles avidity. Measles IgM, IgG and IgM/IgG was analyzed with receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC) as evaluation indicators. In addition, compared with a measles outbreak (26 cases) of a middle school in Tianjin in 2016, for making further verification on the diagnostic value of vaccination failure with IgM, IgG and IgM/IgG. Results: The age of cases ranged was 0-58 years old, the interval median (P₂₅, P₇₅) of serum collection after rash onset was 2 (1, 4) days. The positive rate of measles IgM and IgG in acute phase specimens were 76.06% (216 cases) and 88.38% (251 cases). According to the ROC curve analysis, the area under the ROC curve (AUC) of IgM, IgG and IgM/IgG were 0.753, 0.891 and 0.952, indicating that IgM/IgG was the best index to distinguish PVF and SVF. The best cut off value for IgM/IgG was 0.06, the sensibility and specificity were 88.75% and 86.63%. When IgM/IgG >1, 96.30% cases were low-avidity (RAI <40%), only 1 case was equivocal response (RAI: 40%-60%). 97.14% cases were high-avidity (RAI >60%) when IgM/IgG <0.01, only 3 cases were equivocal response (RAI 40%-60%). The threshold of IgM/IgG was used to verify the measles outbreak of a middle school in Tianjin, 2016. In the acute phase specimens, 100% (26 cases) of IgM/IgG were <0.06, 84.62% (22 cases) of IgM/IgG were <0.01. Conclusion The detection of measles IgM and IgG with ELISA, and IgM/IgG is a valuable diagnostic tool to distinguish PVF and SVF.