BACKGROUND: Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions. METHODS: Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs). RESULTS: The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,227,518 to 3,875,628) and 173.6% (from 4,122,919 to 11,278,935) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100.0% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks. CONCLUSIONS DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
Humans ; Global Burden of Disease ; Risk Factors ; Male ; Female ; Disability-Adjusted Life Years ; Diabetic Nephropathies/epidemiology* ; Middle Aged ; Diabetes Mellitus, Type 2/epidemiology* ; Adult ; Diabetes Mellitus, Type 1/complications* ; Aged ; Adolescent ; Young Adult ; Quality-Adjusted Life Years

Adolescent idiopathic scoliosis(AIS)is a complex three-dimensional deformity involving coronal,sagittal,and axial planes,with a prevalence that should not be overlooked.With advancements in technology and in-depth research,an increasing number of hospitals and physicians are exploring standardized diagnostic and treatment approaches for AIS.Comprehensive and in-depth understanding is required for AIS,including its etiology,screening and diagnosis,classification,assessment and examination,treatment options,exploration of current focus,and evaluation of quality of life.Such understanding ensures that the diagnostic and treatment are scientific,standardized,and timely.Based on the principles of evidence-based medicine,a consensus on the diagnosis and treatment of AIS is reached after multiple discussions among spinal surgery experts,aiming to provide reference and guidance for clinical practice.

Objective:To investigate the additional prognostic value of coronary CT angiography (CCTA)-based flow reserve fraction (CT-FFR) over semi-quantitative CCTA risk scores in predicting the occurrence of major adverse cardiovascular events (MACE) in type 2 diabetic patients.Methods:A total of 231 patients with type 2 diabetes mellitus who underwent CCTA at Lanzhou University from May 2020 to April 2021 were retrospectively enrolled. Clinical baseline data were collected, and patients were divided into a MACE-positive group (20 cases) and a MACE-negative group (211 cases) based on follow-up results. The CCTA images of all patients were analyzed by semi-quantitative CCTA risk score, which included coronary artery disease reporting and data system classification, segment involvement score, segmental stenosis score, Leaman score, and Leiden score. CT-FFR measurements of CCTA data of all patients were performed using Coronary Analysis software. t-test, U-test, and χ2 test were used to compare baseline parameters between MACE-positive and MACE-negative groups. The Cox proportional hazards regression model was used to analyze the relationship between semi-quantitative CCTA risk score and CT-FFR with the occurrence of MACE, and the area under the curve (AUC) of the receiver operating characteristic (ROC) was used to calculate the efficacy of the prediction model established by the semi-quantitative CCTA risk score combined with CT-FFR. Results:There was no statistically significant difference in baseline data between patients in the MACE-positive and MACE-negative groups ( P>0.05), and there were significant differences in semi-quantitative CCTA risk scores and CT-FFR ( P<0.05). Multivariate Cox proportional risk regression analysis of CT-FFR≤0.80 ( HR=3.860, 95% CI 1.477-10.087, P=0.006) and Leaman score≥5 ( HR=5.210, 95% CI 1.136-23.908, P=0.029) were the best and independent predictors for the occurrence of MACE events. The combined CT-FFR and Leaman score prediction model (AUC=0.791, 95% CI 0.733-0.842, P<0.001) was a better predictor of MACE than CT-FFR alone (AUC=0.718, 95% CI 0.656-0.775, P<0.001) and Leaman score alone (AUC=0.711, 95% CI 0.648-0.768, P<0.001) both had better predictive efficacy ( Z=2.62, 1.98, P=0.009, 0.047). Conclusion:CT-FFR independently predict the occurrence of MACE in patients with type 2 diabetes mellitus and significantly improve the predictive capacity of semi-quantitative CCTA risk score for MACE.

AIM:To analyze the reasons for screening failure and explore the influencing fac-tors in clinical trial in healthy volunteers,guidance was provided to improve the success rate of screen-ing in the future.clarify the reasons for the failure in healthy subjects(HS)screening,and to provide guidance for screening in phase Ⅰ clinical trials.METHODS:We performed a retrospective study that described the process of HS screening in phase Ⅰ clinical trials carried out in department of clinical pharmacology lab,Nanjing First Hospital be-tween 2019 and 2022.We analyzed the reasons for screening failure and their impact on the failure rate.A retrospective analysis was conducted on the data of subjects who participated in drug clinical trial screening 2019 to 2022.The reasons for screening failure were analyzed,and statistical methods were used to explore the independent factors that led to screening failure.RESULTS:A to-tal of 11 clinical trials were included in this study,and 502 out of 1 582 participants(31.7％)passed the screening.The analysis of the remaining 1 080 subjects showed that the items that did not pass the screening were laboratory examinations(631 cases,58.4％),abnormal vital signs results(228 cas-es,21.1％),intolerance to blood drawn(86 cases,8.0％),sufficient subjects(62 cases,5.7％),with-drawal at the screening(54 cases,5.0％),demogra-phy(54 cases,5.0％),urinary cotinine examination(42 cases,3.9％),imaging examination(31 cases,2.9％),electrocardiogram(24 cases,2.2％),inquiry(medical inquiry 19 cases,1.8％,smoking inquiry 2 cases,0.2％,alcohol inquiry 2 cases,0.2％)and identity verification(17 cases,1.8％).In the popula-tion with a body mass index(BMI)of 19.0 to 26.0,an increase in BMI is an independent factor signifi-cantly associated with screening failure(P＜0.000 1,OR=0.890 4,95％CI 0.841 9-0.941 3).The impact of different examination items on the screening fail-ure rate varies.CONCLUSION:In clinical trials of healthy subjects,laboratory tests,vital signs and in-tolerance to blood drawn are the main reasons for screening failure.Lowering the upper limit of BMI when recruiting subjects may increase the success rate of screening.Laboratory examinations,vital signs,intolerance to blood drawn are the most im-portant three reasons for screening failure,and im-provements can be made to reduce the screening failure rate of phase Ⅰ clinical trials in response to the main screening failure reasons.

AIM:To analyze the reasons for screening failure and explore the influencing fac-tors in clinical trial in healthy volunteers,guidance was provided to improve the success rate of screen-ing in the future.clarify the reasons for the failure in healthy subjects(HS)screening,and to provide guidance for screening in phase Ⅰ clinical trials.METHODS:We performed a retrospective study that described the process of HS screening in phase Ⅰ clinical trials carried out in department of clinical pharmacology lab,Nanjing First Hospital be-tween 2019 and 2022.We analyzed the reasons for screening failure and their impact on the failure rate.A retrospective analysis was conducted on the data of subjects who participated in drug clinical trial screening 2019 to 2022.The reasons for screening failure were analyzed,and statistical methods were used to explore the independent factors that led to screening failure.RESULTS:A to-tal of 11 clinical trials were included in this study,and 502 out of 1 582 participants(31.7％)passed the screening.The analysis of the remaining 1 080 subjects showed that the items that did not pass the screening were laboratory examinations(631 cases,58.4％),abnormal vital signs results(228 cas-es,21.1％),intolerance to blood drawn(86 cases,8.0％),sufficient subjects(62 cases,5.7％),with-drawal at the screening(54 cases,5.0％),demogra-phy(54 cases,5.0％),urinary cotinine examination(42 cases,3.9％),imaging examination(31 cases,2.9％),electrocardiogram(24 cases,2.2％),inquiry(medical inquiry 19 cases,1.8％,smoking inquiry 2 cases,0.2％,alcohol inquiry 2 cases,0.2％)and identity verification(17 cases,1.8％).In the popula-tion with a body mass index(BMI)of 19.0 to 26.0,an increase in BMI is an independent factor signifi-cantly associated with screening failure(P＜0.000 1,OR=0.890 4,95％CI 0.841 9-0.941 3).The impact of different examination items on the screening fail-ure rate varies.CONCLUSION:In clinical trials of healthy subjects,laboratory tests,vital signs and in-tolerance to blood drawn are the main reasons for screening failure.Lowering the upper limit of BMI when recruiting subjects may increase the success rate of screening.Laboratory examinations,vital signs,intolerance to blood drawn are the most im-portant three reasons for screening failure,and im-provements can be made to reduce the screening failure rate of phase Ⅰ clinical trials in response to the main screening failure reasons.

Objective:To investigate the additional prognostic value of coronary CT angiography (CCTA)-based flow reserve fraction (CT-FFR) over semi-quantitative CCTA risk scores in predicting the occurrence of major adverse cardiovascular events (MACE) in type 2 diabetic patients.Methods:A total of 231 patients with type 2 diabetes mellitus who underwent CCTA at Lanzhou University from May 2020 to April 2021 were retrospectively enrolled. Clinical baseline data were collected, and patients were divided into a MACE-positive group (20 cases) and a MACE-negative group (211 cases) based on follow-up results. The CCTA images of all patients were analyzed by semi-quantitative CCTA risk score, which included coronary artery disease reporting and data system classification, segment involvement score, segmental stenosis score, Leaman score, and Leiden score. CT-FFR measurements of CCTA data of all patients were performed using Coronary Analysis software. t-test, U-test, and χ2 test were used to compare baseline parameters between MACE-positive and MACE-negative groups. The Cox proportional hazards regression model was used to analyze the relationship between semi-quantitative CCTA risk score and CT-FFR with the occurrence of MACE, and the area under the curve (AUC) of the receiver operating characteristic (ROC) was used to calculate the efficacy of the prediction model established by the semi-quantitative CCTA risk score combined with CT-FFR. Results:There was no statistically significant difference in baseline data between patients in the MACE-positive and MACE-negative groups ( P>0.05), and there were significant differences in semi-quantitative CCTA risk scores and CT-FFR ( P<0.05). Multivariate Cox proportional risk regression analysis of CT-FFR≤0.80 ( HR=3.860, 95% CI 1.477-10.087, P=0.006) and Leaman score≥5 ( HR=5.210, 95% CI 1.136-23.908, P=0.029) were the best and independent predictors for the occurrence of MACE events. The combined CT-FFR and Leaman score prediction model (AUC=0.791, 95% CI 0.733-0.842, P<0.001) was a better predictor of MACE than CT-FFR alone (AUC=0.718, 95% CI 0.656-0.775, P<0.001) and Leaman score alone (AUC=0.711, 95% CI 0.648-0.768, P<0.001) both had better predictive efficacy ( Z=2.62, 1.98, P=0.009, 0.047). Conclusion:CT-FFR independently predict the occurrence of MACE in patients with type 2 diabetes mellitus and significantly improve the predictive capacity of semi-quantitative CCTA risk score for MACE.

Objective:To investigate the mediating roles of the fear of missing out and mobile phone addiction between the basic psychological needs satisfaction and phubbing behavior among high school students.Methods:In April 2022, a cross-sectional design survey was conducted on 14 666 high school students. All participants were evaluated by the basic psychological needs scales(BPNS), generic scale of phubbing(GSP), trait-state fear of missing out scale(T-S FOMOS) and mobile phone addiction index(MPAI). The SPSS 26.0 software was used to conduct common method deviation test, descriptive statistics, and correlation analysis.PROCESS 4.1 was used to construct the model, and the Bootstrap method was used to test for mediating effects.Results:(1)Among the 14 036 high school students, there were 1 752 (12.48%) students who were addicted to mobile phones.There were significant differences in gender in the scores including BPNS(boy: 4.43±0.79, girl: 4.36±0.79), GSP(boy: 2.72±1.01, girl: 2.76±1.03) and T-S FOMOS(boy: 1.73±0.60, girl: 1.84±0.64), ( t=5.22, -10.58, -2.78, all P<0.01). Among different grades, there were significant differences in the scores of BPNS, T-S FOMOS, MPAI, and GSP( F=25.43, 39.50, 53.45, 14.59, all P<0.01). (2)Basic psychological needs score were positively correlated with fear of missing out, mobile phone addiction and phubbing( r=-0.432--0.294, all P<0.01). Phubbing were negatively correlated with fear of missing out and mobile phone addiction( r=0.744, 0.538, both P<0.01). Fear of missing out were negatively correlated with mobile phone( r=0.646, P<0.01). (3)The basic psychological needs satisfaction had a direct effect on phubbing behavior, and the effect value was -0.188 (95% CI: -0.173--0.204). The mediating effect of fear of missing out between the basic psychological needs satisfaction and phubbing behavior was -0.035(95% CI: -0.028--0.042). The mediating effect of mobile phone between the basic psychological needs satisfaction and phubbing behavior was -0.203(95% CI: -0.191--0.214). Fear of missing out and mobile phone addiction played a chain mediating role between them, and the mediating effect value was -0.134(95% CI: -0.125--0.143), which accounted for 23.93%(-0.134/-0.560) of the total effect. Conclusion:The high level basic psychological needs satisfaction can alleviate the occurrence of phubbing behavior. It may be achieved by decreasing fear of missing out and reducing mobile phone addiction.

Humans ; Neuroinflammatory Diseases ; COVID-19/complications* ; Brain

With the widespread adoption of smartphones， mobile phone addiction among adolescents has emerged as a challenging public health concern. This paper aims to undertake a comprehensive literature review on mobile phone addiction among high school students， both domestically and internationally. It primarily focuses on exploring the conceptual framework， measurement tools， epidemic status， influencing factors and intervention strategies associated with mobile phone addiction in this specific population， so as to provide references for interventions targeting mobile phone addiction among high school students， with the ultimate goal of reducing the incidence rate within this population. ［Funded by Sichuan Provincial Primary Health Development Research Center in 2022， North Sichuan Medical College （number， SWFZ22-C-89）， Mianyang City Social Science Research Key Base-Sichuan Mianyang Minor Psychological Growth Guidance and Research Center 2022 Annual Funding Project （number， SCWCN 2022YB07）］

ObjectiveTo investigate the mediating role of loneliness and social anxiety in the relationship between basic psychological needs satisfaction and smartphone addiction among high school students， and to provide references for the intervention to smartphone addiction for high school students. MethodsIn April 2022， a total of 14 666 high school students from 5 middle schools in a county of Sichuan Province were included by random sampling method. Basic Psychological Needs Scales （BPNS）， the UCLA Loneliness Scale-3 edition （UCLA-3）， Interaction Anxiousness Scale （IAS） and the Mobile Phone Addiction Index （MPAI） were used for cross-sectional investigation. Bootstrap method was used to analyze the mediating role of loneliness and social anxiety in the relationship between the basic psychological needs satisfaction and smartphone addiction. Results① In this study， 14 036 valid questionnaires were returned， and 1 752 （12.48%， 95% CI： 0.114~0.136） high school students were found to be addicted to smartphone phone. The BPNS score was negatively correlated with UCLA-3， IAS and MPAI scores （r=-0.771， -0.486， -0.417， P<0.01）. And MPAI score was positively correlated with IAS and UCLA-3 scores （r=0.403， 0.424， P<0.01）. IAS score was positively correlated with UCLA-3 score （r=0.458， P<0.01）. ②The degree of basic psychological needs satisfaction in high school students can directly negatively predict smartphone addiction （β=-0.383， P<0.05）， and can also indirectly affect smartphone addiction through loneliness and social anxiety （β=-0.130， P<0.05）. ③Loneliness （indirect effect value was -0.145） and social anxiety （indirect effect value was -0.074） partially mediate between the basic psychological needs satisfaction and smartphone addiction. Loneliness-social anxiety also has significant chain mediating effect （indirect effect value was -0.034）， which accounted for 8.88%. ConclusionThe basic psychological needs satisfaction can not only directly affect the occurrence of smartphone addiction， but also indirectly affect the occurrence of smartphone addiction through the chain mediation of loneliness and social anxiety.