Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.

Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.

Objective To observe the clinical effect of leflunomide combined with total glucosides of paeony (TGP) on rheumatoid arthritis (RA).Methods From September 2014 to June 2016,83 RA patients in Jiuquan People's Hospital were selected in the research,and according to time sequence seeing doctors,the patients were divided into control group (41 patients) and treatment group (42 patients).The patients of the two groups were orally given leflunomide (20 mg,1 time/d),while the treatment group was added with TGP (0.6 g,3 times/d).The patients of the two groups were treated for one month.The changes of clinical indicators such as RF,ESR,CRP,2-dimer of the two groups before and after treatment were observed.Results Before treatment,the RF,ESR,CRP,2-dimer between the two groups had no statistically significant differences (all P ＞ 0.05).After treatment,the RF,ESR,CRP,2-dimer of treatment group were (76.9 ±25.6)U/L,(18.5 ±6.3)mm/h,(15.4 ±6.3) rmg/L,(5.22 ±4.65) mg/L,respectively,which of the control group were (99.6 ±32.7)U/L,(27.8±8.6) mm/h,(21.7 ±7.8) mg/L,(14.08 ±5.76)mg/L,respectively,the differences between the two groups were statistically significant (t =3.480,5.230,4.680,4.513,all P ＜ 0.05).The total effective rate of the treatment group was 83.33 ％,which was higher than 58.54％ of the control group,the difference was statistically significant (x2 =5.330,P ＜ 0.05).Conclusion The clinical effect of leflunomide combined with TGP in the treatment of RA is better than leflunomide.

Objective To observe the efficacy of electroacupuncture in improving discomforts during and after oocyte retrieval, for providing scientific and significant clinical evidence for the application of electroacupuncture to oocyte retrieval.Method A hundred and thirty-four outpatients receiving IVF-ET fertility treatment were randomized into a treatment group and a control group, 67 in each group. The two groups both received muscular injection with Sauteralgyl 50 mg. Additionally, the treatment group was also given acupuncture at Baihui (GV20), Uterus (MA-TF, right ear), Tengtong (Extra, right), Sanyangluo (TE8, right), and Zusanli (ST36). When needling qi arrived, Tengtong (Extra) and Sanyangluo (TE8) were connected to SDZ-2 electroacupuncture apparatus. The needles were removed at the end of oocyte retrieval. For patients in the control group, oocyte retrieval was conducted 30 min after injection with Sauteralgyl. The operation duration was recorded; blood pressures before injection and at the end of surgery were measured; discomforts including dizziness, nausea, vomiting, perspiration, dry mouth, palpitation, and abdominal distension during operation were observed; discomforts (dizziness, nausea, vomiting, abdominal pain, and lassitude) 0.5 h, 1.5 h, and 2 h after operation were observed.Result The difference in comparing oocyte retrieval duration was statistically significant between the two groups (P＜0.05); there were significant differences in comparing the occurrence rates of dizziness, perspiration, nausea, and palpitation during operation between the two groups (P＜0.05); there were significant differences in comparing dizziness, vomiting, nausea, abdominal pain, and lassitude between the two groups 0.5 h, 1 h, 1.5 h, and 2 h after operation (P＜0.05). The inter-group differences in dizziness, vomiting, nausea, abdominal pain, and lassitude were statistically significant after operation (P＜0.05).Conclusion Electroacupuncture is effective in relieving discomforts during and after oocyte retrieval under transvaginal ultrasound.