Objective: To study the association between ankyloglossia and sagittal mandibular development impairment as well as lower anterior dental crowding, providing a reference for clinical practice. Methods: This study was approved by the hospital's Medical Ethics Committee. A total of 100 patients aged 7-13 years were enrolled from January 2024 to January 2025, comprising 50 patients with ankyloglossia (case group) and 50 individuals with a healthy lingual frenulum (normal group). Clinical examination was performed to assess lingual frenulum length, Kotlow classification, and the simplified Hazelbaker assessment tool for lingual frenulum function (HATLFF) score. Cephalometric radiographs were used to measure the A-point-nasion-B-point (ANB) angle, sella-nasion-B-point (SNB) angle, and mandibular total length (condylion-gnathion [Co-Gn]). Dental cast analysis was conducted to evaluate lower anterior teeth crowding. Data were compared between the two groups. Pearson correlation analysis was used to examine the relationships between the lingual frenulum length, simplified HATLFF score, and cephalometric/dental cast parameters (ANB, SNB, Co-Gn, lower anterior crowding). The diagnostic value of ankyloglossia for mandibular development and lower anterior crowding was analyzed using receiver operating characteristic (ROC) curves. Results: Ankyloglossia was significantly associated with mandibular development and lower anterior crowding (P<0.05). The case group showed significantly lower values for the lingual frenulum length, simplified HATLFF score, SNB angle, and Co-Gn, while the ANB angle and lower anterior crowding index were significantly higher compared to the normal group (P<0.05). The lingual frenulum length and simplified HATLFF score were negatively correlated with the ANB angle and lower anterior crowding index, and positively correlated with the SNB angle and Co-Gn (P<0.05). ROC curve analysis indicated that the area under the curve (AUC) for the simplified HATLFF score, and ankyloglossia in predicting mandibular development deficiency and lower anterior crowding was greater than 0.700, demonstrating good diagnostic value. Conclusion A significant correlation exists between ankyloglossia and both mandibular development deficiency and lower anterior crowding.

AIM:To investigate the effects of high-altitude hypoxic exposure on retinal injury and the associated changes in oxidative stress-related indicators in rats. METHODS: Twenty-four healthy male Sprague-Dawley(SD)rats were randomly divided into a plain group and a high-altitude group, with 12 rats(24 eyes)in each group. Rats in the plain group were housed under normoxic conditions in an SPF-grade animal facility, whereas rats in the high-altitude group were placed in a special environmental chamber simulating an altitude of 6 000 m for 7 d. Optical coherence tomography(OCT)was used to assess retinal layer architecture and quantify retinal thickness. Hematoxylin-eosin(HE)staining was performed to observe retinal histopathological changes. Immunofluorescence(IF)was used to detect the expression of hypoxia-inducible factor-1α(HIF-1α)in retinal tissue. Transmission electron microscopy(TEM)was applied to examine the ultrastructure of retinal ganglion cells(RGCs). Enzyme-linked immunosorbent assay(ELISA)was used to measure the levels of malondialdehyde(MDA), total superoxide dismutase(T-SOD), and reduced glutathione(GSH)in retinal tissue. In addition, intracellular reactive oxygen species(ROS)levels in retinal tissue were assessed using the 2',7'-dichlorodihydrofluorescein diacetate(DCFH-DA)fluorescent probe. RESULTS: OCT examination revealed disorganized retinal architecture in the high-altitude group, with increased inner and middle ring thickness and decreased outer ring thickness compared with the plain group(all P<0.05). HE staining showed varying degrees of retinal layer damage, blurred layer boundaries, loosely arranged RGCs, and partial cellular necrosis in the high-altitude group. IF analysis demonstrated significantly increased HIF-1α expression in the inner nuclear layer of the high-altitude group(P<0.01). TEM revealed mitochondrial swelling, disrupted cristae, and reduced matrix electron density in RGCs of the high-altitude group. ELISA and fluorescence probe assays showed significantly elevated MDA levels and ROS fluorescence intensity, accompanied by decreased T-SOD and GSH levels in the retinal tissue of the high-altitude group(all P<0.05). CONCLUSION: Exposure to a high-altitude hypoxic environment induces marked morphological and ultrastructural damage in the rat retina and significantly enhances oxidative stress, suggesting that oxidative stress may play a critical role in retinal injury induced by high-altitude hypoxia.

In managing metabolic dysfunction-associated steatotic liver disease, which affects over 30% of the general population, effective noninvasive biomarkers for assessing disease severity, monitoring disease progression, predicting the development of liver-related complications, and assessing treatment response are crucial. The advantage of simple fibrosis scores lies in their widespread accessibility through routinely performed blood tests and extensive validation in different clinical settings. They have shown reasonable accuracy in diagnosing advanced fibrosis and good performance in excluding the majority of patients with a low risk of liver-related complications. Among patients with elevated serum fibrosis scores, a more specific fibrosis and imaging biomarker has proved useful to accurately identify patients at risk of liver-related complications. Among specific fibrosis blood biomarkers, enhanced liver fibrosis is the most widely utilized and has been approved in the United States as a prognostic biomarker. For imaging biomarkers, the availability of vibration-controlled transient elastography has been largely improved over the past years, enabling the use of liver stiffness measurement (LSM) for accurate assessment of significant and advanced fibrosis, and cirrhosis. Combining LSM with other routinely available blood tests enhances the ability to diagnose at-risk metabolic dysfunction-associated steatohepatitis and predict liver-related complications, some reaching an accuracy comparable to that of liver biopsy. Magnetic resonance imaging-based modalities provide the most accurate quantification of liver fibrosis, though the current utilization is limited to research settings. Expanding their future use in clinical practice depends on factors such as cost and facility availability.

In managing metabolic dysfunction-associated steatotic liver disease, which affects over 30% of the general population, effective noninvasive biomarkers for assessing disease severity, monitoring disease progression, predicting the development of liver-related complications, and assessing treatment response are crucial. The advantage of simple fibrosis scores lies in their widespread accessibility through routinely performed blood tests and extensive validation in different clinical settings. They have shown reasonable accuracy in diagnosing advanced fibrosis and good performance in excluding the majority of patients with a low risk of liver-related complications. Among patients with elevated serum fibrosis scores, a more specific fibrosis and imaging biomarker has proved useful to accurately identify patients at risk of liver-related complications. Among specific fibrosis blood biomarkers, enhanced liver fibrosis is the most widely utilized and has been approved in the United States as a prognostic biomarker. For imaging biomarkers, the availability of vibration-controlled transient elastography has been largely improved over the past years, enabling the use of liver stiffness measurement (LSM) for accurate assessment of significant and advanced fibrosis, and cirrhosis. Combining LSM with other routinely available blood tests enhances the ability to diagnose at-risk metabolic dysfunction-associated steatohepatitis and predict liver-related complications, some reaching an accuracy comparable to that of liver biopsy. Magnetic resonance imaging-based modalities provide the most accurate quantification of liver fibrosis, though the current utilization is limited to research settings. Expanding their future use in clinical practice depends on factors such as cost and facility availability.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

OBJECTIVES: Urinary calculi are characterized by a high recurrence rate, and patients' adherence to self-management after discharge directly affects health outcomes. Traditional offline follow-up models often face problems such as poor compliance and uneven allocation of medical resources, making it difficult to meet individualized health management needs. Remote follow-up provides a novel solution to optimize long-term management, improve health literacy, and enhance clinical outcomes. This study aims to evaluate the effect of remote follow-up under an intelligent medical collaborative model on quality of life and health-promoting lifestyle in patients with urinary calculi, and to assess its short-term impact on clinical outcomes. METHODS: A total of 118 patients with urinary calculi admitted to a tertiary hospital in Hunan Province between August and November 2024 were recruited and randomly assigned to a control group (n=59) or an intervention group (n=59). The control group received routine departmental follow-up, while the intervention group underwent remote follow-up based on an intelligent medical collaborative model for one month. Assessments were conducted before discharge (T0), 15 days after discharge (T1), and one month after discharge (T2), using the Wisconsin Stone Quality of Life Questionnaire and the Health-Promoting Lifestyle Profile. At T2, the incidence of forgotten ureteral stents (FUS), ureteral stent-related complications, unplanned readmissions, and patient satisfaction were evaluated. RESULTS: No significant differences were observed between groups at T0 in baseline characteristics or outcome measures (all P>0.05). At T1 and T2, the intervention group had significantly higher health-related quality of life scores than the control group (P<0.05). Generalized estimating equation (GEE) analysis showed significant between-group effects (Wald's χ²=22.961, P<0.001), time effects (Wald's χ²=23.065, P<0.001), and interaction effects (Wald's χ²=6.930, P<0.05). Similarly, at T1 and T2, the intervention group scored significantly higher on health-promoting lifestyle than the control group (P<0.05), with significant between-group effects (Wald's χ²=22.936, P<0.001), time effects (Wald's χ²=10.694, P<0.001), and interaction effects (Wald's χ²=18.921, P<0.05). No significant differences were found between groups in the incidence of FUS, ureteral stent-related complications, or unplanned readmissions (all P>0.05). Patient satisfaction was significantly higher in the intervention group (t=4.089, P<0.001). CONCLUSIONS Remote follow-up under an intelligent medical collaborative model helps improve quality of life, promote health-oriented lifestyles, and enhance patient satisfaction among individuals with urinary calculi.
Humans ; Quality of Life ; Male ; Female ; Urinary Calculi/therapy* ; Health Promotion/methods* ; Middle Aged ; Adult ; Follow-Up Studies ; Treatment Outcome

OBJECTIVES: To develop an early atrial fibrillation (AF) risk prediction model based on large-scale electrocardiogram (ECG) data from the Chinese population. METHODS: The data of multiple ECG records of 30 383 patients admitted in the Chinese PLA General Hospital between 2009 and 2023 were randomly divided into the training set and the internal testing set in a 7:3 ratio. The predictive factors were selected based on the training set using univariate analysis, LASSO regression, and the Boruta algorithm. Cox proportional hazards regression was used to establish the ECG model and the composite model incorporating age, gender, and ECG model score. The discrimination power, calibration, and clinical net benefits of the models were evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curves. RESULTS: The cohort included 51.1% male patients with a median age of the patients of 51 (36, 62) years and an AF incidence of 4.5% (1370/30 383). In the ECG model, the parameters related to the P wave and QRS complex were identified as significant predictors. In the testing set, the AUROC of the ECG model for predicting 5-year AF risk was 0.77 (95% CI: 0.74-0.80), which was increased to 0.81 (95% CI: 0.78-0.83) after incorporating age and gender, with a net reclassification improvement of 0.123 and an integrated discrimination improvement of 0.04 (P<0.05). The calibration curve of the model was close to the diagonal line. Decision curve analysis showed that the clinical net benefit of the composite model was higher than that of the ECG model across the majority of threshold probability. CONCLUSIONS The composite model incorporating quantitative ECG features during sinus rhythm, along with age and gender, can effectively predict AF risk in the Chinese population, thus providing a low-cost screening tool for early AF risk assessment and management.
Humans ; Atrial Fibrillation/epidemiology* ; Electrocardiography ; Middle Aged ; Male ; Female ; China/epidemiology* ; Proportional Hazards Models ; Adult ; Risk Factors ; Risk Assessment ; East Asian People