During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

Primary splenic lymphoma is a rare malignant neoplasm， with similar clinical manifestations to Sjogren’s syndrome and liver cirrhosis， which often leads to misdiagnosis. This article reports a case of primary splenic lymphoma misdiagnosed as Sjogren’s syndrome with liver cirrhosis， in order to improve the understanding of primary splenic lymphoma， Sjogren’s syndrome， and liver cirrhosis and avoid misdiagnosis and treatment delay.

OBJECTIVE: To observe the clinical effect of acupuncture at yinsanzhen combined with auricular point sticking on primary dysmenorrhea (PDM). METHODS: Sixty patients with PDM were randomly divided into an observation group and a control group, with 30 cases in each group. Patients in the observation group were treated with acupuncture at yinsanzhen combined with auricular point sticking. The acupuncture was given at yinsanzhen (Guanyuan [CV4] and bilateral Guilai [ST29], Sanyinjiao [SP6]) once daily for 5 consecutive days. Auricular point sticking was applied to gan (CO₁₂), shen (CO₁₀), neifenmi (CO₁₈), etc. every other day, alternated between ears, totaling 3 sessions. All treatments were started 5 days before menstruation. Patients in the control group were treated with ibuprofen sustained-release capsules on the first day of menstruation for 3 consecutive days. Both groups were treated for 3 menstrual cycles. The scores of Cox menstrual symptom scale (CMSS) and visual analogue scale (VAS) were compared between the two groups before and after treatment and at the second menstrual cycle after treatment completion (follow-up). The serum contents of prostaglandin (PG) F2α and PGE2 were detected before and after treatment, and the clinical effect and safety of the two groups were evaluated. RESULTS: After treatment and during follow-up, the CMSS severity and duration scores and VAS scores of the two groups were lower than those before treatment (P<0.05 ), and the scores in the observation group were lower than those in the control group (P<0.05). After treatment, the serum contents of PGF2α were decreased, and the contents of PGE2 were increased (P<0.05) in the two groups. The total effective rate of the observation group was 93.3% (28/30), which was higher than 80.0% (24/30) of the control group (P<0.05). There were no adverse reactions in both groups. CONCLUSION Yinsanzhen combined with auricular point sticking can effectively improve the pain symptoms, relieve the degree of pain and shorten the duration of pain in patients with PDM, which may play a therapeutic role by reducing the content of serum PGF2α and increasing the content of serum PGE2.
Humans ; Female ; Dysmenorrhea/therapy* ; Acupuncture Points ; Adult ; Young Adult ; Acupuncture, Ear ; Treatment Outcome ; Adolescent ; Acupuncture Therapy ; Combined Modality Therapy

Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. It has a high prevalence and poor prognosis. The application of antiarrhythmic drugs and even surgery cannot completely treat the disease, and there are many sequelae. AF can be classified into the category of "palpitation" in Chinese medicine according to its symptoms. Acupuncture has a significant effect on AF. The authors find that an important mechanism of acupuncture in AF treatment is to regulate the cardiac vagus nerve. Therefore, this article intends to review the distribution and function of vagus nerve in the heart, the application and the regulatroy effect for the treatment of AF.
Atrial Fibrillation/physiopathology* ; Humans ; Acupuncture Therapy ; Vagus Nerve/physiology* ; Animals

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

Humans ; Consanguinity ; Exome Sequencing ; Mutation/genetics* ; Sequence Analysis, DNA ; Ciliary Motility Disorders ; Axonemal Dyneins/genetics*

Generative artificial intelligence (GAI) refers to AI technology capable of generating new content such as text, images, or audio from training data. GAI tools not only demonstrate rapid and efficient potential in literature screening, data extraction, and literature appraisal in systematic reviews, but can also be used for guideline evaluation and dissemination, enhancing the readability and promotion efficiency of guidelines. However, the accuracy of content generated by GAI tools, the rationality of cited evidence, the level of evidence, and the reliability of data still need verification. Additionally, data privacy protection and ethical issues are challenges that need to be addressed. This article aims to overview the current status of GAI tools in the formulation, evaluation, dissemination, and implementation of guidelines, explore the feasibility and new models of GAI tools in the field of guidelines, and improve the efficiency and quality of guideline formulation to better serve guideline developers and users.

Objective To analyze the characteristics of time in range(TIR)and its relationship with oxidative stress(OS)and insulin resistance status(HOMA-IR)in patients with type 2 diabetes mellitus(T2DM)and sleep apnea-hypopnea syndrome(OSAHS).Methods According to apnea-hypopnea index(AHI),165 T2DM in patients were divided into simple T2DM group(AHI<5 times/h,n=43),T2DM combine OSAHS mild group(OSAHS-G,5≤AHI<15 times/h,n=51),T2DM combined OSAHS moderate group(OSAHS-M,15≤AHI≤30 times/h,n=40)and T2DM combine OSAHS severe group(OSAHS-S,AHI>30 times/h,n=31).TIR was calculated by dynamic blood glucose monitoring.Superoxide dismutase(SOD),glutathione peroxidase(GSH-Px)and other indexes were detected and analyzed.Results Compared with simple T2DM group,the levels of HOMA-IR,8-iso-PGF2a and Ox-LDL were higher in T2DM combined OSAHS-G,OSAHS-M or OSAHS-S group,while the levels of TIR,SOD and GSH-Px were lower(P<0.05).Pearson correlation analysis showed that TIR was positively correlated with the levels of SOD and GSH-Px(P<0.05 or P<0.01),and negatively correlated with the levels of 8-iso-PGF2a,Ox-LDL,HbA1c,HOMA-IR and the severity of OSAHS(P<0.01).Logistic regression analysis showed that TIR,SOD and GSH-Px were protective factors for severe OSAHS in T2DM patients,while 8-iso-PGE2a and Ox-LDL were the risk factors for severe OSAHS.Conclusions The glucose level fluctuates greatly in patients with T2DM and OSAHS.Insulin resistance and oxidative stress are factors that affect the normalization of TIR.

Objective:To investigate the seroepidemiological status of Toxoplasma gondii among humans, dogs and cats and its influencing factors in three counties of Yunnan Province, and to assess the risk of dogs and cats transmitting Toxoplasma gondii to humans and causing disease and epidemics. Methods:Three pestis foci of demestic rodent in Mile City, Mang City and Lianghe County in Yunnan Province were selected as the investigation areas, and blood samples of humans, dogs and cats from 16 natural villages were collected. Serum IgG antibodies against Toxoplasma gondii were detected by indirect enzyme-linked immunosorbent assay, and the influencing factors were analyzed by logistic regression. Results:A total of 368 human serum samples, 307 dog serum samples, and 12 cat serum samples were tested. The positive rates of serum IgG antibodies against Toxoplasma gondii in humans, dogs and cats were 54.62% (201/368), 90.88% (279/307), and 91.67% (11/12), respectively. Logistic regression analysis showed that the risk of Toxoplasma gondii infection (serum IgG antibodies positive) in humans of Mang City and Lianghe County were 8.20 times ( AOR = 8.20, 95% CI: 4.38 - 15.36) and 2.22 times ( AOR = 2.22, 95% CI: 1.24 - 3.97) higher than those in Mile City, respectively, and the risk of Toxoplasma gondii infection (serum IgG antibodies positive) in humans in the age group of 30 - < 40 years old decreased by 57% compared to the age group of 30 years old ( AOR = 0.43, 95% CI: 0.19 - 0.98, P < 0.10). The risk of Toxoplasma gondii infection (serum IgG antibodies positive) in dogs of Lianghe County was 89% lower than that in Mile City ( AOR = 0.11, 95% CI: 0.02 - 0.47). The risk of Toxoplasma gondii infection(serum IgG antibodies positive) in dogs aged 2 years old and older was 2.05 times higher than that in dogs aged younger than 2 years old ( AOR = 2.05, 95% CI: 0.91 - 4.64, P < 0.10). Conclusions:The positive rates of serum IgG antibodies against Toxoplasma gondii in humans, dogs and cats in the three counties where the three pestis foci of demestic rodent are located in Yunnan Province is relatively high. The risk of Toxoplasma gondii infection (serum IgG antibodies positive) in humans, dogs is related to the region and age. The risk of dogs and cats transmitting Toxoplasma gondii to humans and other animals is relatively high. It is necessary to strengthen monitoring in key regions, carry out health education, and take corresponding health measures.

Objective:To analyze the clinical characteristics, prognosis and gene mutation in patients with dilated cardiomyopathy (DCM) in Keshan disease area of Sichuan Province, and to explore the risk factors for all-cause death in DCM patients.Methods:In June 2016, 55 DCM patients diagnosed at the local disease prevention and control center through clinical manifestations, electrocardiogram examination, and echocardiography were selected as the survey subjects in Mianning County, Liangshan Yi Autonomous Prefecture, and Renhe District, Panzhihua City, Keshan disease areas of Sichuan Province. Baseline clinical data were analyzed and long-term follow-up was conducted. The follow-up period ended June 15, 2021, with the endpoint of all-cause death. Univariate Cox regression was used to analyze the influencing factors of all-cause death in patients, and Kaplan-Meier (K-M) survival curve was used to analyze the survival time of patients. At the same time, peripheral venous blood was collected from 27 DCM patients. After separating white blood cells, DNA was extracted, and whole exome sequencing was performed to screen potential pathogenic genes.Results:Among the 55 DCM patients, 40 were males and 15 were females. The age was (54.09 ± 12.38) years old. The heart function classification of New York Heart Association (NYHA) was mainly grade Ⅱ and Ⅲ, accounting for 94.55% (52/55). The follow-up time for 55 DCM patients was (7.02 ± 2.96) years, and 17 patients experienced all-cause death, accounting for 30.91% (17/55), including 15 males and 2 females. Compared with the survival group, the death group had a lower incidence of syncope (χ 2 = 6.57, P = 0.010), but higher rates of bilateral lower limb edema (χ 2 = 6.43, P = 0.017), pulmonary congestion (χ 2 = 7.61, P = 0.006), intraventricular conduction block (χ 2 = 6.41, P = 0.011), and angiotensin-converting enzyme inhibitor (ACEI) use (χ 2 = 6.57, P = 0.010), as well as increased left ventricular diameter ( t = 2.36, P = 0.022). Univariate Cox regression analysis showed that bilateral lower limb edema [hazard ratio ( HR) = 4.61, P = 0.042] and intraventricular conduction block ( HR = 3.20, P = 0.019) were risk factors for all-cause death of DCM patients. The results of K-M survival curve analysis showed that patients with bilateral lower limb edema and intraventricular conduction block had higher all-cause death rates (log-rank χ 2 = 5.02, 6.24, P = 0.025, 0.012). Whole exome sequencing results showed that 4 patients were detected to carry pathogenic or suspected pathogenic gene mutations, with a positive rate of 14.81% (4/27), involving three genes: β-myosin heavy chain 7 (MYH7), calreticulin 3 (CALR3), and gelsolin (GSN). Conclusions:The all-cause death rate of DCM patients in the Keshan disease area of Sichuan Province is relatively high. Dead patients are prone to bilateral lower limb edema, pulmonary congestion, and intraventricular conduction block, as well as increased left ventricular diameter. Bilateral lower limb edema and intraventricular conduction block are independent predictive risk factors for all-cause death in DCM patients. MYH7, CALR3 and GSN are involved in the pathogenesis of DCM.