OBJECTIVE: To observe the clinical efficacy of different acupuncture methods in the treatment of ankylosing spondylitis (AS) at different stages. METHODS: Thirty-two patients with AS were treated with acupuncture at ashi points (tendon focus), triple acupuncture method was used in the acute phase, accompanied needling method was used in the remission phase, once a day, 5 times a week for 4 weeks. The Bath ankylosing spondylitis disease activity index (BASDAI) score, Bath ankylosing spondylitis functional index (BASFI) score and TCM symptom grade quantitative standard score before and after treatment were observed, and the efficacy was evaluated. RESULTS: After treatment, the BASDAI score, BASFI score and TCM symptom grade quantitative standard score were reduced compared with those before treatment (P<0.01), the effective rate was 96.9% (31/32). CONCLUSION Different acupuncture methods in the treatment of AS at different stages could improve signs and symptoms, such as pain, activity limitation and morning stiffness.
Humans ; Spondylitis, Ankylosing/physiopathology* ; Acupuncture Therapy/methods* ; Male ; Female ; Adult ; Middle Aged ; Young Adult ; Acupuncture Points ; Treatment Outcome

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To explore the relationship between insulin resistance and idiopathic central precocious puberty(ICPP)in girls and the diagnostic value of insulin resistance.Methods Clinical data of 245 girls aged 4 to 7.5 years with low luteinizing hormone(LH)levels(0.2-0.83 IU/L),normal body weight(body mass index standard deviation score between-2 and+2),and early breast development who visited the Department of Pediatric Endocrinology,Henan Provincial Maternal and Child Health Hospital from January 2022 to March 2025 were retrospectively analyzed.According to the Expert Consensus on the Diagnosis and Treatment of Central Precocious Puberty(2022),patients were assigned to an ICPP group(n=123)or a control group(n=122).Correlations between the homeostasis model assessment of insulin resistance(HOMA-IR)and selected indices were assessed.Multivariable logistic regression was used to evaluate the association between HOMA-IR and ICPP,and the diagnostic performance of various indices for ICPP was evaluated.Results HOMA-IR was higher in the ICPP group than in the control group(P<0.001)and was positively correlated with LH peak(rs=0.467,P<0.05)and the LH peak/FSH peak ratio(rs=0.444,P<0.05).The multivariable logistic regression model including age,BMI,and basal LH showed that HOMA-IR was closely associated with ICPP(OR=2.756,95%CI:1.940-3.913).Receiver operating characteristic curve analysis showed that the areas under the curve for basal LH,HOMA-IR,and their combination in diagnosing ICPP were 0.735,0.735,and 0.805,respectively(P<0.05),and the combined model had a greater area under the curve than either basal LH or HOMA-IR alone(both P<0.05).Conclusions HOMA-IR is closely associated with ICPP in girls with low LH and normal body weight,and combining HOMA-IR with basal LH improves early identification and diagnostic efficiency in this population.

A method was developed for determination of dilauryl thiodipropionate(DLTDP)in fried foods by coupling solid-phase extraction(SPE)pretreatment with reverse-phase liquid chromatography-tandem mass spectrometry(RPLC-MS/MS)detection.Samples were extracted with n-hexane as the solvent,purified using a neutral alumina SPE cartridge,and finally analyzed by RPLC-MS/MS.Quantitative analysis was performed using matrix-matched calibration curves combined with an external standard method under optimal experimental conditions.The results showed that DLTDP exhibited good linearity in the range of 2.0-50.0 μg/L,with a correlation coefficient(R2)≥0.999.The limit of detection(LOD)and the limit of quantification(LOQ)of the method were 0.15 mg/kg and 0.5 mg/kg,respectively.The mean recoveries at three fortification levels(0.5,1.0,and 200 mg/kg)in different samples ranged from 84.8%to 96.8%,with the relative standard deviations(RSDs)all less than 8.0%.The developed method was highly sensitive,accurate and reliable,and easy to operate,making it well suited for the routine quantitative analysis of DLTDP in fried foods.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To explore the relationship between insulin resistance and idiopathic central precocious puberty(ICPP)in girls and the diagnostic value of insulin resistance.Methods Clinical data of 245 girls aged 4 to 7.5 years with low luteinizing hormone(LH)levels(0.2-0.83 IU/L),normal body weight(body mass index standard deviation score between-2 and+2),and early breast development who visited the Department of Pediatric Endocrinology,Henan Provincial Maternal and Child Health Hospital from January 2022 to March 2025 were retrospectively analyzed.According to the Expert Consensus on the Diagnosis and Treatment of Central Precocious Puberty(2022),patients were assigned to an ICPP group(n=123)or a control group(n=122).Correlations between the homeostasis model assessment of insulin resistance(HOMA-IR)and selected indices were assessed.Multivariable logistic regression was used to evaluate the association between HOMA-IR and ICPP,and the diagnostic performance of various indices for ICPP was evaluated.Results HOMA-IR was higher in the ICPP group than in the control group(P<0.001)and was positively correlated with LH peak(rs=0.467,P<0.05)and the LH peak/FSH peak ratio(rs=0.444,P<0.05).The multivariable logistic regression model including age,BMI,and basal LH showed that HOMA-IR was closely associated with ICPP(OR=2.756,95%CI:1.940-3.913).Receiver operating characteristic curve analysis showed that the areas under the curve for basal LH,HOMA-IR,and their combination in diagnosing ICPP were 0.735,0.735,and 0.805,respectively(P<0.05),and the combined model had a greater area under the curve than either basal LH or HOMA-IR alone(both P<0.05).Conclusions HOMA-IR is closely associated with ICPP in girls with low LH and normal body weight,and combining HOMA-IR with basal LH improves early identification and diagnostic efficiency in this population.

Objective To select a prescription through different dissolution conditions to ensure that the self-made sample has the same in vitro dissolution as the original reference formulation.Methods We investigated the dissolution performance of cefditoren pivoxil tablets using the(f2)similarity factor of the US Food and Drug Administration non model dependent method.A sodium chloride hydrochloric acid mixture was used as the dissolution solution,with a volume of 900 mL.The paddle method was used,rotating speed 50 r·min-1,and UV-visible spectrophotometer was used,The measurement wavelength was 272 nm.Finally,we compared the dissolution performance of self-made cefditoren pivoxil tablets with the reference formulation,and determined their dissolution performance and corresponding influencing factors.Results The curve equation for ceftriaxone is A=3.25 × 10-2 C-1.80 × 10-2(R2=0.999 7),with a linear range of 7.5-22.5μg·mL-1,with an average recovery rate of 99.33％.Through the dissolution testing method used,we found that in the in vitro experiment,the difference in dissolution similarity factor of f2 between the self-made sample and the reference formulation we used was very small and met expectations.Conclusion The dissolution test method for cefditoren pivoxil tablets is suitable for the development of this formulation.Prescription formulations selected by comparing similar factors can significantly improve the success rate of bioequivalence.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

AIM: To evaluate the efficacy and safety of different Conbercept treatment on diabetic macular edema(DME)with 3+PRN and 5+PRN.METHODS: Retrospective case-control study. A total of 51 patients(92 eyes)with DME who were treated in our hospital during December 2019 and June 2020 were included, and they were divided into 3+PRN group with 26 cases(48 eyes)and 5+PRN group with 25 cases(44 eyes). All patients received monthly follow-up for 12mo and the changes of best-corrected visual acuity(BCVA)and central macular thickness(CMT), the number of intravitreal injections and the occurrence of complications were compared and observed in the two groups.RESULTS:After follow-up for 12mo, there was no difference in the average injection times between the 3+PRN group and the 5+PRN group(7.24±0.91 times vs. 7.56±1.04 times, P=0.117). The BCVA and CMT of the two groups improved at 3, 6, 9, and 12mo after treatment compared with those before treatment(all P<0.05), and the BCVA and CMT of the 5+PRN group were better than those of the 3+PRN group at 6, 9, and 12mo after treatment(all P<0.05). During the follow-up period, no serious adverse events occurred in the two groups of patients, and the total incidence of ocular adverse events in the two groups was 27%. All adverse events were improved after symptomatic treatment.CONCLUSION: Both the 3+PRN and 5+PRN treatment strategy of Conbercept can treat DME safely and effectively, the total times of injection were comparable. However, the BCVA and CMT improved more in the 5+PRN group than that in 3+PRN group.

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens