Objective To determine the effect of non-high-density lipoprotein cholesterol(non-HDL-C)on all-cause and cause-specific mortality in an ≥60-year-old elderly population.Methods A total of 16 642 older adults(≥60 years)were subjected from the National Health and Nutrition Examination Survey between 1999 and 2018.According to the tertile of non-HDL-C level,the par-ticipants were divided into tertile 1(＜3.15 mmol/L,n=5499),tertile 2(3.15-4.06 mmol/L,n=5499),and tertile 3 groups(＞4.06 mmol/L,n=5644).The occurrences of all-cause,cardiovascu-lar,and non-cardiovascular death were identified as the study endpoint.Cox proportional hazards regression,Kaplan-Meier survival and restricted cubic spline curve analyses were applied for sta-tistical study.Results An obvious L-shaped associations were observed in non-HDL-C level with risks for all-cause,cardiovascular,and non-cardiovascular death.After adjusting multivariable,the tertile 1 group had significantly higher risks for all-cause,cardiovascular,and non-cardiovascular death than the tertile 2 group(HR=1.123,95％CI:1.054-1.200,P=0.000;HR=1.142,95％CI:1.024-1.292,P=0.027;HR=1.113,95％CI:1.033-1.210,P=0.011).Kaplan-Meier survival analysis showed that the tertile 1 group had notably lower survival rate than the tertile 2 group and the tertile 3 group(P＜0.01).Threshold effect analysis revealed that when non-HDL-C level was lower than 3.36,3.18 and 3.59 mmol/L,respectively,the risk of all-cause,cardiovascular,and noncardiovascular mortality was increased.Conclusion In the elderly ≥60-year-old population,non-HDL-C level exhibited a L-shaped association with all-cause and cause-specific mortality,and＞3.18 mmol/L is regarded as a rational range.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective: To explore the correlation between traditional Chinese medicine (TCM) constitution and depressive symptom among school aged children and adolescents, so as to provide evidences for informing constitution based regulation and prevention of depressive symptom. Methods: From June to December 2024, a total of 4 729 students aged 6-14 were recruited by cluster random sampling from 10 primary schools in Baoding (Hebei Province), Heze and Liaocheng (Shandong Province). General information, TCM constitution and depressive symptom were collected. Restricted cubic spline (RCS) models were used to analyze related factors and threshold effects of depressive symptom. Binary Logistic regression was applied to examine the association between depressive symptom and TCM constitution, with subgroup analyses conducted. Results: The detection rate of depressive symptom among the included children and adolescents was 25.82%. RCS analyses indicated non linear associations between depressive symptom and age (inflection point at 10 years old), bedtime (inflection point at 22:00), and wake up time (inflection point at 6:30 ) (all P non linearity <0.01). Linear associations were observed with body mass index (BMI) and sleep duration (all P non linearity > 0.05 ). After adjusting for covariates such as age, BMI and sleep status, binary Logistic regression analyses showed that Yin deficient constitution ( OR =1.26, 95% CI =1.09-1.45) and Phlegm-dampness constitution ( OR =1.42, 95% CI =1.11-1.82) were significantly associated with depressive symptom among children and adolescents (all P <0.05). Conclusions Depressive symptom among school aged children and adolescents is primarily associated with Yin deficiency and Phlegm dampness constitutions in TCM constitution. Active attention should be paid to susceptible TCM constitution among children and adolescents. Targeted health guidance and interventions should be implemented to improve TCM constitution health status for preventing the occurrence of depressive symptom.

OBJECTIVE: To evaluate the clinical efficacy of ultrasound-guided needle knife release with different pathways for carpal tunnel syndrome (CTS). METHODS: Sixty CTS patients were randomly divided into a transverse group and a longitudinal group, with 30 patients in each group. The transverse group received the needle knife release under ultrasound above and below the median nerve along the short axis, while the longitudinal group received the needle knife release under ultrasound above the median nerve along the long axis. The patients' visual analogue scale (VAS) scores, Levine scores, and median nerve cross-section area (CSA) were assessed before treatment, on the 7th, 14th, and 30th days after treatment. The median nerve conduction indexes (motor conduction: latency [Lat], amplitude[Amp], motor conduction velocity [MCV]; sensory conduction: Lat, Amp, sensory conduction velocity [SCV]) were evaluated before treatment and on the 30th day after treatment. RESULTS: Compared before treatment, the VAS scores, Levine scores, and median nerve CSA were reduced in both groups on the 7th, 14th, and 30th days after treatment (P<0.05); the transverse group showed lower VAS and Levine scores and smaller CSA than those in the longitudinal group (P<0.05). On the 30th day after treatment, motor and sensory Lat was reduced (P<0.05), motor and sensory Amp was increased (P<0.05), and MCV and SCV were faster (P<0.05) in both groups. The transverse group had shorter Lat, higher Amp, and faster MCV and SCV than those in the longitudinal group (P<0.05). CONCLUSION The ultrasound-guided needle knife release with transverse and longitudinal pathways could both effectively alleviate pain and improve median nerve conduction in CTS patients, with the transverse pathway showing superior efficacy to longitudinal pathway.
Humans ; Carpal Tunnel Syndrome/therapy* ; Female ; Middle Aged ; Male ; Adult ; Median Nerve/physiopathology* ; Acupuncture Therapy/instrumentation* ; Treatment Outcome ; Neural Conduction ; Aged ; Ultrasonography

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

Sessile serrated lesion(SSL)is a major precancerous lesion type of colorectal cancer and one of the main causes of colorectal cancer.SSL has unique tissue structures and morphological features,with low detection rate under endoscopy and high variability in histopathological diagnosis,making it one of the most easily missed lesions in colorectal cancer screening.In recent years,the application of artificial intelligence(AI)in the diagnosis of colorectal cancer has been rapidly increasing.Previous studies have found that AI-assisted endoscopic technology can improve the detection rate and diagnostic accuracy of colorectal SSL,and AI-assisted pathological diagnosis can improve diagnostic efficiency and consistency.This article aims to provide a review of current research on AI technology in colorectal SSL.

Biological clock is a pattern of rhythms in which organisms exhibit cycles approaching 24 h in order to adapt to periodic changes in the external environment.Gut microbiota is the sum of extremely large number of microorganisms parasitized in humans and animals.Disorders of the biological clock increase the risk of metabolic diseases,and the occurrence of these disorders is closely related to the interaction with the dysbiosis of the gut microbiota.With the deepening of the understanding of the brain-gut axis,targeting gut microbiota to ameliorate biological clock disorders and associated diseases has achieved major theoretical breakthroughs and was partially applied in clinical practice,including dietary interventions such as time restricted feeding,development of microbial-related products(probiotics and postbiotics),and fecal microbiota transplantation.This article reviews the research progress of intestinal flora and rhythmicity,as well as targeting intestinal flora for the treatment of biological clock disorders,so as to provide new ideas for the prevention and treatment of rhythm disorders and concurrent diseases.

Follicular Helper T Cells(TFH)are a specialized subset of CD4+T cells that predominantly lo-calize within lymphoid follicles.These cells play a crucial role in facilitating B cell proliferation,differentia-tion,and antibody production,thereby thereby serving as a pivotal component of the adaptive immune re-sponse against infections.Given the significant function of TFH cells in regulating humoral immunity,they have become a focal point in the research of infectious diseases and related vaccine development in recent years.This review summarizes the surface markers of T follicular helper(Tfh)cells,their differentiation reg-ulatory mechanisms,and the latest research progress of Tfh cells in SARS-CoV-2 infection and vaccine stud-ies.It aims to provide new theoretical foundations and research insights for optimizing the design of SARS-CoV-2 vaccines and enhancing the cross-protection ability against SARS-CoV-2 variants.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.