Objective: To investigate the trend in disease burden of injuries among children and adolescents in China from 1990 to 2021, so as to provide a basis for formulating prevention and control strategies and reducing this disease burden. Methods: Data on mortality, disability-adjusted life years (DALY) rate, incidence, and prevalence of injuries among children and adolescents aged <20 years in China from 1990 to 2021 were collected from the Global Burden of Disease (GBD) 2021 database. All rates were standardized using the GBD 2021 world standard population. The trend in incidence of disease burden of injuries among children and adolescents across differents genders and ages from 1990 to 2021 was evaluated using average annual percent change (AAPC). Results: From 1990 to 2021, the standardized mortality (AAPC=-5.435%), standardized DALY rate (AAPC=-5.311%), standardized incidence (AAPC=-0.466%), and standardized prevalence (AAPC=-0.810%) of injuries among children and adolescents in China showed downward trends (all P<0.05). Among these, the standardized mortality of animal contact (AAPC=-9.138%) and the standardized DALY rate of medical side effects (AAPC=-8.389%) decreased at a relatively fast pace, while the standardized incidence of falls (AAPC=0.083%) and the standardized prevalence of exposure to natural forces (AAPC=2.656%) showed upward trends (all P<0.05). The standardized mortality, standardized DALY rate, standardized incidence and standardized prevalence of injuries were higher in males than in females. The trend in males showed a downward trend (all P<0.05), consistent with the total population. The crude incidence of injuries in the group aged 15-<20 years showed an upward trend (AAPC=0.391%, P<0.05), while the trend in the group aged 10-<15 years was not statistically significant (P>0.05). The crude incidence of injuries in the groups aged 5-<10 years and <5 years showed downward trends (AAPC=-0.488% and -2.275%, both P<0.05). In 2021, the <5 years age group had the highest crude mortality and crude DALY rate of injuries, at 13.94/100 000 and 1 257.26/100 000, respectively. The 15-<20 years age group exhibited the highest crude incidence and crude prevalence, at 4 874.05/100 000and 4 050.35/100 000, respectively. Drowning and falls were major components of the disease burden across all age groups. Conclusions From 1990 to 2021, the disease burden of injuries among children and adolescents in China showed an overall downward trend. The disease burden was consistently higher in males than in females. Children aged <5 years face a high risk of fatality and disability, while adolescents aged 15-<20 years experience a high incidence and frequency of injuries. Drowning and falls were key priorities for prevention and control.

Objective To explore the predictive value of cognitive function trend after ACI for the recurrence risk of cerebral infarction.Methods A total of 256 ACI patients admitted to our hospi-tal from January 2021 to December 2023 were enrolled retrospectively.Based on their MoCA score at 3 months after onset,they were assigned into 96 cases of no PSCI,51 cases of improved PSCI,17 cases of delayed PSCI and 92 cases of persistent PSCI.According to the results of MoCA at 2 weeks after onset,they were divided into 133 cases of PSCI group and 123 cases of non-PSCI group.The clinical data of the ACI patients were compared between the two groups,and their cog-nitive function trends were analyzed.Results Advanced age,and larger proportions of female,du-al antiplatelet therapy and PSQI＞5 were observed in the PSCI group than the non-PSCI group(P＜0.05,P＜0.01).There were significant differences in the incidences of recurrence and poor prognosis in the ACI patients with different cognitive function trends(P＜0.01).The persistent PSCI was associated with the increased risk of recurrence of cerebral infarction and poor prognosis(P＜0.05).The AUC value of persistent PSCI in predicting the recurrence and poor prognosis of cerebral infarction was 0.703(95％CI:0.631-0.767)and 0.595(95％CI:0.521-0.666),respec-tively.Conclusion Persistent PSCI can be used as a predictor of recurrence of cerebral infarction,and it also increases the risk of cognitive dysfunction in ACI patients.

This article reported a case of neurodevelopmental disorder accompanied by spastic diplegia and visual impairment with the manifestation of small fetal head circumference. Prenatal ultrasonography performed at 33 +5 weeks of pregnancy revealed small fetal head circumference (-2.61SD) and oligohydramnios. Whole-exome sequencing identified a heterozygous frameshift variation of c.1623_1624insA (p.R542Tfs*30) in the CTNNB1 gene (NM_001904.4) of the fetus. No phenotypic abnormalities or corresponding gene variations were detected in the parents, suggesting it was a de novo variation. Based on the clinical manifestations, the fetus was diagnosed with a neurodevelopmental disorder accompanied by spastic diplegia and visual defects. Following genetic counseling, the pregnant woman chose to terminate the pregnancy.

Objective　To explore the mediating role of cognitive function in the association between literacy level and depressive symptoms in middle-aged and elderly people in China. Methods　 Using the fourth national follow-up data of the China Health and Elderly Care Tracking Survey 2018, 8 124 middle-aged and elderly people aged 45 years and above were included as the study subjects. The PROCESS 4.0 program was used to test the mediating effect of cognitive function between literacy level and depressive symptoms, and the Bootstrap method was used for the mediator variable validation. Results The detection rate of depressive symptoms among middle-aged and elderly people in China was 38.10%. After controlling for gender, place of residence, marital status, smoking, alcohol consumption, and exercise, literacy level was a negative predictor of depressive symptoms in middle-aged and elderly people (β =－0.480, t =－11.248, P<0.001). Cognitive function accounted for 58.75% of the amount of mediating effect between literacy level and depressive symptoms. Conclusion 　Literacy level and cognitive function are associated with depressive symptoms in middle-aged and elderly people. Literacy level can influence depressive symptoms directly or indirectly through the mediation of cognitive dysfunction.

BACKGROUND:During intervertebral disc degeneration,mitophagy plays an extremely important role in preventing the progression of intervertebral disc degeneration.Regulating the level of mitophagy may be a new strategy for the treatment of intervertebral disc degeneration. OBJECTIVE:To review the relationship between mitophagy and intervertebral disc,in order to provide a reference for the treatment of intervertebral disc degeneration by regulating the level of mitophagy. METHODS:A literature search was performed in CNKI,Wanfang,VIP,and PubMed using"intervertebral disc degeneration,mitophagy,targeted therapy,inflammation,signaling pathways"as Chinese and English search terms.Finally,54 articles were included and summarized. RESULTS AND CONCLUSION:(1)At present,the specific mechanism of intervertebral disc degeneration is not clear.A large number of studies have shown that intervertebral disc degeneration is closely related to mitophagy,which involves a relatively complex mechanism and pathway.Among various pathways,PINK1/Parkin is the most widely studied signaling pathway for mitophagy regulation.(2)Some drugs,such as Salidroside,Urolithin A,Honokiol,MitoQ,have been found to have the potential to treat intervertebral disc degeneration by regulating the level of mitophagy.These drugs have shown positive preclinical results.(3)At present,the targeted therapy of mitophagy is mainly preclinical research and has achieved positive results.Further clinical research is needed to explore its clinical efficacy and safety.

Objective To investigate the changing trend and epidemiological characteristics of the incidence and mortality of chronic kidney disease (CKD) with age, period and birth cohort in Chinese population. Methods Based on the data of incidence and mortality of CKD in Chinese population aged 20-80 years from 1990 to 2019 in GHDx database, joinpoint regression model was used to analyze the incidence and mortality trend of CKD. An age-period-cohort model was constructed to analyze the effects of age, period, and birth cohort on the trend of CKD incidence and mortality. Results Joinpoint regression analysis showed that the standardized incidence rate of chronic kidney disease in Chinese population increased from 146.37/100 000 in 1990 to 161.52/100 000 in 2019, while the standardized mortality rate decreased from 12.98/100 000 in 1990 to 11.23/100 000 in 2019. The APC model analysis showed that the risk of CKD incidence and death in the Chinese population increased with age, while the risk of CKD incidence increased with the increase of period. The risk of death did not change significantly with the increase of period. The cohort born later had a lower risk of CKD incidence and death compared to the cohort born earlier. Conclusion At present, the age effect and period effect of the incidence and death risk of chronic kidney disease in China are dominant. It is important to take effective measures and intervene in a timely manner, especially to strengthen the protection of older high-risk groups born earlier.

Critically ill patients are at high risk for hospital acquired infections, which can significantly increase the mortality rate and treatment costs for these patients. Therefore, in the process of treating the primary disease, strict prevention and control of new hospital infections is an essential component of the treatment for critically ill patients. The treatment of critically ill patients involves multiple steps and requires a concerted effort from various aspects such as theory, management, education, standards, and supervision to achieve effective prevention and control of hospital infections. However, there is currently a lack of unified understanding and standards for hospital infection prevention and control. To address this, in March 2024, a group of experts in critical care medicine, infectious diseases, and hospital infection from China discussed the current situation and issues of hospital infection control in the intensive care unit together. Based on a review of the latest evidence-based medical evidence from both domestic and international sources, 2024 Expert Consensus on Hospital Acquired Infection Control Principles in the Department of Critical Care Medicine was formed, aiming to provide a basis for the development of hospital infection prevention and control strategies in the field of critical care medicine.

Objective Genotypes(G)1,3,and 5 of the Japanese encephalitis virus(JEV)have been isolated in China,but the dominant genotype circulating in Chinese coastal areas remains unknown.We searched for G5 JEV-infected cases and attempted to elucidate which JEV genotype was most closely related to human Japanese encephalitis(JE)in the coastal provinces of China. Methods In this study,we collected serum specimens from patients with JE in three coastal provinces of China(Guangdong,Zhejiang,and Shandong)from 2018 to 2020 and conducted JEV cross-neutralization tests against G1,G3,and G5. Results Acute serum specimens from clinically reported JE cases were obtained for laboratory confirmation from hospitals in Shandong(92 patients),Zhejiang(192 patients),and Guangdong(77 patients),China,from 2018 to 2020.Seventy of the 361 serum specimens were laboratory-confirmed to be infected with JEV.Two cases were confirmed to be infected with G1 JEV,32 with G3 JEV,and two with G5 JEV. Conclusion G3 was the primary infection genotype among JE cases with a definite infection genotype,and the infection caused by G5 JEV was confirmed serologically in China.

Objective:To analyze the growth characteristics of different genotypes of Japanese encephalitis virus (JEV) in different cell lines, and to provide scientific basis for the selection of cell lines in the study of JEV.Methods:BHK-21, Vero, C6/36, PK-15, DF-1, N2a, SH-sy5y and MDCK cell lines were selected. The proliferation ability of genotype 1 (NX1889 strain), genotype 3 (P3 strain) and genotype 5 (XZ0934 strain) JEV in these cell lines was evaluated by plaque assay and RT-qPCR.Results:Significant cytopathogenic effects (CPE) were observed in BHK-21, Vero, C6/36, DF-1, N2a and PK-15 cell lines across all three JEV genotypes. However, no significant differences in CPE characteristics were observed within the same cell line. SH-sy5y and MDCK cell lines did not show significant CPE, but virus proliferation was detected in SH-sy5y cell line, while MDCK cell line were found to be insensitive to JEV. No significant difference was observed in the proliferation curves of G1, G3 and G5 JEV in BHK-21, Vero and SH-sy5y cell lines. In C6/36 and PK-15 cell lines, the titer of G1 JEV was higher than that of G3 and G5. In DF-1 cell line, G5 demonstrated a higher titer than the other two genotypes, whereas in N2a cell line, G5 showed a lower titer than the other two.Conclusions:There are differences in the proliferation of three different genotypes of JEV in different cell lines, which can provide reference for the study of JEV in different directions.

Objective:To evaluate the performance of an artificial intelligent (AI)-based automated digital cell morphology analyzer (hereinafter referred as AI morphology analyzer) in detecting peripheral white blood cells (WBCs).Methods:A multi-center study. 1. A total of 3010 venous blood samples were collected from 11 tertiary hospitals nationwide, and 14 types of WBCs were analyzed with the AI morphology analyzers. The pre-classification results were compared with the post-classification results reviewed by senior morphological experts in evaluate the accuracy, sensitivity, specificity, and agreement of the AI morphology analyzers on the WBC pre-classification. 2. 400 blood samples (no less than 50% of the samples with abnormal WBCs after pre-classification and manual review) were selected from 3 010 samples, and the morphologists conducted manual microscopic examinations to differentiate different types of WBCs. The correlation between the post-classification and the manual microscopic examination results was analyzed. 3. Blood samples of patients diagnosed with lymphoma, acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndrome, or myeloproliferative neoplasms were selected from the 3 010 blood samples. The performance of the AI morphology analyzers in these five hematological malignancies was evaluated by comparing the pre-classification and post-classification results. Cohen′s kappa test was used to analyze the consistency of WBC pre-classification and expert audit results, and Passing-Bablock regression analysis was used for comparison test, and accuracy, sensitivity, specificity, and agreement were calculated according to the formula.Results:1. AI morphology analyzers can pre-classify 14 types of WBCs and nucleated red blood cells. Compared with the post-classification results reviewed by senior morphological experts, the pre-classification accuracy of total WBCs reached 97.97%, of which the pre-classification accuracies of normal WBCs and abnormal WBCs were more than 96% and 87%, respectively. 2. The post-classification results reviewed by senior morphological experts correlated well with the manual differential results for all types of WBCs and nucleated red blood cells (neutrophils, lymphocytes, monocytes, eosinophils, basophils, immature granulocytes, blast cells, nucleated erythrocytes and malignant cells r>0.90 respectively, reactive lymphocytes r=0.85). With reference, the positive smear of abnormal cell types defined by The International Consensus Group for Hematology, the AI morphology analyzer has the similar screening ability for abnormal WBC samples as the manual microscopic examination. 3. For the blood samples with malignant hematologic diseases, the AI morphology analyzers showed accuracies higher than 84% on blast cells pre-classification, and the sensitivities were higher than 94%. In acute myeloid leukemia, the sensitivity of abnormal promyelocytes pre-classification exceeded 95%. Conclusion:The AI morphology analyzer showed high pre-classification accuracies and sensitivities on all types of leukocytes in peripheral blood when comparing with the post-classification results reviewed by experts. The post-classification results also showed a good correlation with the manual differential results. The AI morphology analyzer provides an efficient adjunctive white blood cell detection method for screening malignant hematological diseases.