Objective: To investigate the prevalence and associated factors of congenital heart defects (CHD) among nursery, primary, and middle school students in Zhaotong, and to provide basis for CHD prevention strategies for children and adolescents. Methods: Using stratified random cluster sampling, a total of 11 343 nursery, primary and middle school students in 4 towns of Zhaotong were investigated with CHD screening and questionnaire during September to November in 2020. Results: The prevalence of CHD among nursery, primary and middle school students in Zhaotong was 11.99‰(95% CI =9.99‰-13.99‰), Yongshan County (14.90‰) > Yanjin County (10.22‰), rural (13.30‰) > urban (8.21‰)( χ 2=4.95, 4.77, P <0.05). Among 136 cases of CHD, the Ventricular Septal Defect (VSD) accounted the highest proportion (41.2%), followed by Atrial Septal Defect (ASD, 32.4% ), Patent Ductus Arteriosus (PDA, 14.0%), and Complex Congenital Heart Disease (CCHD, 5.9%) and the other CHD (others, 6.6%). The proportion of late diagnosed CHD was 50.74%, which was associated with living in rural areas of Yongshan County, low annual household income (10 000-<20 000 yuan), as well as isolated and uncomplicated CHD( OR =0.30, 0.13, 3.67 , 0.17, P <0.05). Conclusion Nursery, primary and middle schools students have the characteristics of high prevalence rate of CHD, large proportion of complex congenital heart disease, large number of late diagnosis and complex influencing factors in Zhaotong. It s in urgent need of strengthening learning prevention of CHD.

Objective:To evaluate the clinical application of urine sediment score (USS) in early diagnosis, etiological differentiation, staging and prognosis of acute kidney injury (AKI), and to investigate the diagnostic efficacy of independent USS and its combination with blood urea nitrogen(Bun) serum creatinine(sCr) and uric acid(UA) in AKI.Methods:From August 23 to September 28, 2023, 9 020 morning urine samples of hospitalized patients in the First Hospital of Jilin University were detected by Sysmex UF5000.A total of 3 226 ssamples with small and round cell (SRC) > 1/μl and/or CAST>1/μl were screened for microscopic examination, and 404 cases with positive renal tubular epithelial cells and/or cast were enrolled in this study. There were 218 males and 186 females, aged 59.5 (49.0, 71.0) years. The 404 cases were divided into the USS AKI group (345 cases) and the USS non-AKI group (59 cases) according to the USS results based on the microscopic findings. According to Kidney Disease: Improving Global Outcomes (KDIGO) criteria, they were divided into KDIGO criteria AKI group (63 cases) and KDIGO criteria non-AKI group (341 cases), and the AKI group was divided into renal AKI group (33 cases) and non-renal AKI group (30 cases). According to the clinical diagnosis recorded in the medical records, they were divided into clinically diagnosed AKI group (29 cases) and clinically diagnosed non-AKI group (375 cases).The χ 2 test or Fisher exact test was used to compare USS in different AKI causes and stages. Logistic regression was used to calculate the odds ratio of renal AKI and stage 3 AKI. The area under the receiver operating characteristic curve was used to evaluate the sensitivity and specificity of USS, sCr, UA and Bun alone and in combination in the diagnosis of AKI, and the best cut-off value, sensitivity and specificity in the diagnosis of AKI were calculated. P < 0.05 was considered statistically significant. Results:The USS was used to identify the etiology of KDIGO standard AKI group,and there were significant differences in USS between renal AKI group and non-renal AKI group (χ 2=11.070, P<0.001). Compared to USS=1, the odds ratio of renal AKI was 8.125 when USS≥2 (95% CI 2.208—29.901). There was a statistically significant difference in the comparison of USS between groups in each stage of the AKI staging study based on USS (χ 2=15.724, P<0.05). Compared to USS=1, the odds ratio of stage 3 AKI was 9.714 when USS≥2 (95% CI 1.145-82.390). The AUC of independent USS in the diagnosis of AKI was 0.687 (95% CI 0.618-0.757, P<0.001), the specificity was 65.7% and the sensitivity was 61.9%. The AUC of USS combined with Bun, sCr, UA in the diagnosis of AKI was 0.794 (95% CI 0.608-0.980, P<0.05), the specificity was 82.4%, and the sensitivity was 88.9%. Conclusions:There wasan increased likelihood of renal AKI or stage 3 AKI while USS≥2,and whose combination with Bun, sCr and UA will improve the diagnostic efficiency of AKI.

The document represented the consensus amongst the professionals from the Society of TMD & Occlusion, Chinese Stomatological Association and provided guidelines with the MRI examination specification and diagnostic criteria of temporomandibular joint disc displacement.

The document represented the consensus amongst the professionals from the Society of TMD & Occlusion, Chinese Stomatological Association and provided guidelines with the cone-beam CT examination specification and diagnostic criteria of temporomandibular disorders.

AIM: To investigate the influence of relevant inflammatory markers in peripheral blood on the progression of neovascular glaucoma(NVG)secondary to diabetic retinopathy(DR)patients.METHODS: Retrospective case-control study. Patients were categorized into two groups based on the presence or absence of NVG: those with proliferative diabetic retinopathy(PDR)alone(PDR group, n=148)and those with NVG secondary to PDR(NVG secondary to PDR group, n=142). Peripheral blood inflammatory markers were evaluated, including white blood cell-related indices, neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), monocyte-to-lymphocyte ratio(MLR), and systemic immune-inflammation index(SII). The distinctions in peripheral blood inflammatory markers between the two groups of patients and their relationships with NVG secondary to PDR were analyzed.RESULTS:No statistically significant differences were observed in basic characteristics between the two groups, confirming their comparability. However, significant differences were found in eosinophil percentage and MLR between the PDR group and the NVG secondary to PDR group(all P<0.05), with both values being significantly higher in the NVG secondary to PDR group. Multivariate Logistic regression analysis revealed that the eosinophil percentage and the MLR were factors influencing the development of patients with NVG secondary to PDR.CONCLUSION: Eosinophil percentage and MLR may be associated with the progression of PDR to NVG, and could serve as potential predictive markers for NVG development in PDR patients.