Objective: To assess the dynamic changes of microcirculation at acupoints in patients with primary dysmenorrhea and cold congelation and blood stasis syndrome using laser speckle blood flow imaging. Methods: Patients with primary dysmenorrhea and cold coagulation and blood stasis syndrome (primary dysmenorrhea group, n=53) and healthy female college students(control group, n=57) who met the inclusion and exclusion criteria from October 2020 to July 2022 were enrolled at Hebei University of Chinese Medicine. On the premenstrual and first day of menstruation, a laser speckle blood flow imaging system was used to measure the microcirculation blood flow perfusion on the surface of acupoints related to the conception, thoroughfare, and governor vessels, and stomach, spleen, and bladder meridians in the abdomen and lumbosacral regions. The dynamic changes in microcirculation were calculated based on the difference in average blood flow perfusion at each acupoint before and after menstruation. Receiver operating curve (ROC) analysis was used to analyze the diagnostic efficacy of dynamic changes in microcirculation on the surface of each acupoint. The microcirculation sensitization rate of acupoints was calculated. Results: Compared with the control group, the dynamic changes in microcirculation at the following acupoints in the primary dysmenorrhea group were increased (P<0.05): conception vessel (Yinjiao[CV7], Qihai[CV6], Shimen[CV5], Guanyuan[CV4]); left thoroughfare vessel (left Huangshu[KI16], left Zhongzhu[KI15], left Siman[KI14], left Qixue[KI13], left Dahe[KI12], left Henggu[KI11]); left stomach meridian (left Tianshu[ST25], left Wailing[ST26], left Qichong[ST30]); left spleen meridian (left Daheng[SP15], left Fujie[SP14]); right thoroughfare vessel (right Huangshu[KI16], right Zhongzhu[KI15], right Siman[KI14], right Qixue[KI13], right Dahe[KI12], right Henggu[KI11]); right stomach meridian (right Wailing[ST26], right Daju[ST27], right Shuidao[ST28], right Guilai[ST29], right Qichong[ST30]); and right spleen meridian (right Fujie[SP14]). The area under the ROC curve of conception vessel (Yinjiao[CV7], Qihai[CV6], Shimen[CV5], Guanyuan[CV4]), thoroughfare vessel (right Siman[KI14], left Huangshu[KI16], right Qixue[KI13], right Zhongzhu[KI15], right Dahe[KI12], left Zhongzhu[KI15], left Siman[KI14], right Huangshu[KI16], left Qixue[KI13], right Henggu[KI11], left Henggu[KI11], left Dahe[KI12]); stomach meridian (left Tianshu[ST25], right Guilai[ST29], left Wailing[ST26], right Shuidao[ST28], right Daju[ST27], right Wailing[ST26], right Qichong[ST30], left Qichong[ST30]), and spleen meridian (left Daheng[SP15], left Fujie[SP14], right Fujie[SP14]) was 0.610-0.682 (P<0.05). Compared with the control group, the sensitization rate of some acupoints in the primary dysmenorrhea group increased (P<0.05). Conclusion With the onset of menstruation, the blood flow perfusion of some acupoints in the abdomen (thoroughfare, and conception vessels, and stomach and spleen meridians) of patients with primary dysmenorrhea and cold blood coagulation and blood stasis syndrome increased, and the status of acupoints changed from a resting state to an active state. These acupoints are sensitive in patients with primary dysmenorrhea and cold blood coagulation and blood stasis syndrome and have a certain diagnostic efficacy, providing a basis for further analyzing the efficacy and mechanism of acupuncture and moxibustion to treat primary dysmenorrhea with cold blood coagulation and blood stasis syndrome.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

Objective:To explore the value of the deep learning model based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI in preoperatively predicting vessels completely encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).Methods:This study adopted a case-control design to retrospectively analyze 420 patients with HCC confirmed by postoperative pathology who underwent Gd-EOB-DTPA enhanced MRI between June 2016 and March 2023. A total of 420 patients were divided into a training set ( n=305) from the First Affiliated Hospital of Soochow University and an external validation set ( n=115) from Affiliated Nantong Hospital 3 of Nantong University. Based on postoperative pathological findings, patients were stratified into VETC-positive and VETC-negative groups. The training set comprised 161 VETC-positive cases and 144 VETC-negative cases, while the external validation set included 55 VETC-positive cases and 60 VETC-negative cases. Tumor regions of interest in arterial, portal venous, and hepatobiliary phases were manually delineated using ITK-SNAP software. Pre-trained Vgg19, Densenet121, and Vision Transformer (ViT) models were employed for transfer learning, extracting deep learning features from each image. Feature data were processed using FAE software, and 12 logistic regression models (arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase models) were constructed to select the optimal deep learning model. Independent predictors in clinical characteristics were identified through univariate and multivariate logistic analyses to establish a clinical model for predicting VETC pattern. Subsequently, a clinical-deep learning fusion model was developed by integrating these clinical predictors with the optimal deep learning features. Model performance in predicting VETC-positive HCC was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Results:In the external validation set, the area under the curve (AUC) of the Vgg19 model in the arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase, respectively were 0.799,0.756,0.789,0.821, which were higher than those of Densenet121 (AUC: 0.544,0.581,0.544,0.583) and ViT (AUC: 0.740,0.752,0.785,0.767) model. The three-phase combined Vgg19 model achieved the highest AUC of 0.821 (95% CI 0.746-0.897). Multivariate logistic regression identified alpha-fetoprotein level ( OR=1.826,95% CI 1.069-3.120, P=0.028) and tumor diameter ( OR=1.329,95% CI 1.206-1.466, P<0.001) as independent predictors of VETC-positive HCC, forming the clinical model with an AUC of 0.789 (95% CI 0.703-0.859). The clinical-deep learning fusion model further achieved the AUC of 0.825 (95% CI 0.749-0.900). Calibration curves confirmed high concordance between predicted and actual probabilities for the three-phase Vgg19 model, while DCA revealed greater net clinical benefit for the combined Vgg19 and fusion models compared with the clinical model alone. Conclusions:The deep learning model based on Gd-EOB-DTPA enhanced MRI can be used to predict VETC of HCC preoperatively, among which the three-phase combined Vgg19 model and the clinical-deep learning model provide high predictive value.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

Objective:To explore the value of the deep learning model based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI in preoperatively predicting vessels completely encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).Methods:This study adopted a case-control design to retrospectively analyze 420 patients with HCC confirmed by postoperative pathology who underwent Gd-EOB-DTPA enhanced MRI between June 2016 and March 2023. A total of 420 patients were divided into a training set ( n=305) from the First Affiliated Hospital of Soochow University and an external validation set ( n=115) from Affiliated Nantong Hospital 3 of Nantong University. Based on postoperative pathological findings, patients were stratified into VETC-positive and VETC-negative groups. The training set comprised 161 VETC-positive cases and 144 VETC-negative cases, while the external validation set included 55 VETC-positive cases and 60 VETC-negative cases. Tumor regions of interest in arterial, portal venous, and hepatobiliary phases were manually delineated using ITK-SNAP software. Pre-trained Vgg19, Densenet121, and Vision Transformer (ViT) models were employed for transfer learning, extracting deep learning features from each image. Feature data were processed using FAE software, and 12 logistic regression models (arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase models) were constructed to select the optimal deep learning model. Independent predictors in clinical characteristics were identified through univariate and multivariate logistic analyses to establish a clinical model for predicting VETC pattern. Subsequently, a clinical-deep learning fusion model was developed by integrating these clinical predictors with the optimal deep learning features. Model performance in predicting VETC-positive HCC was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Results:In the external validation set, the area under the curve (AUC) of the Vgg19 model in the arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase, respectively were 0.799,0.756,0.789,0.821, which were higher than those of Densenet121 (AUC: 0.544,0.581,0.544,0.583) and ViT (AUC: 0.740,0.752,0.785,0.767) model. The three-phase combined Vgg19 model achieved the highest AUC of 0.821 (95% CI 0.746-0.897). Multivariate logistic regression identified alpha-fetoprotein level ( OR=1.826,95% CI 1.069-3.120, P=0.028) and tumor diameter ( OR=1.329,95% CI 1.206-1.466, P<0.001) as independent predictors of VETC-positive HCC, forming the clinical model with an AUC of 0.789 (95% CI 0.703-0.859). The clinical-deep learning fusion model further achieved the AUC of 0.825 (95% CI 0.749-0.900). Calibration curves confirmed high concordance between predicted and actual probabilities for the three-phase Vgg19 model, while DCA revealed greater net clinical benefit for the combined Vgg19 and fusion models compared with the clinical model alone. Conclusions:The deep learning model based on Gd-EOB-DTPA enhanced MRI can be used to predict VETC of HCC preoperatively, among which the three-phase combined Vgg19 model and the clinical-deep learning model provide high predictive value.

OBJECTIVE To compare the efficacy of the novel Huoxue plaster and the original powder in the treatment of chronic soft tissue injury, and to provide experimental basis for the development and clinical application of hospital preparations. METHODS According to the different drug administration, mice were assigned to the blank group, the matrix group, the positive control group(voltaren group), the original powder raw product group, the original powder product group and the novel plaster group respectively. The writhing inhibition rate, licking time, analgesic rate and pain threshold were measured by the writhing test, formaldehyde pain test, electrical stimulation test and hot plate test. The purpose of these was to assess disparities in the drugs for analgesic purposes. The mice ear swelling test and capillary permeability test were used to determine the swelling degree, swelling inhibition rate and exudation inhibition rate to compare the differences in anti-inflammatory effects. A rat model of chronic soft tissue injury was established. The changes of calf circumference, soft tissue injury appearance score, hemorheology and histopathological observation and inflammatory factor content were compared before and after the reform of prescription and dosage form. RESULTS The novel Huoxue plaster had a significant inhibitory effect on the inflammatory pain induced by acetic acid and formaldehyde in mice, and there was no significant difference compared with the original powder. The analgesic effect of 60 min after administration was better than that of 90 min and 120 min after administration, and there was no significant difference compared with the original powder. The novel Huoxue plaster and the original powder had no significant effect on hot plate pain threshold. The novel Huoxue plaster had a significant anti-inflammatory effect, which could reduce the degree of ear swelling induced by xylene and reduce the inflammatory exudation of capillaries induced by acetic acid, and there was no significant difference compared with the original powder. The novel Huoxue plaster could significantly reduce the circumference and injury symptom index of the swollen leg in rats with chronic soft tissue injury, improve blood circulation and histomorphology, and significantly reduce the contents of PGE2, TNF-α and IL-1β in the injured soft tissue, and there was no significant difference compared with the original powder. CONCLUSION The novel Huoxue plaster has significant analgesic and anti-inflammatory effects, and can be used to treat chronic soft tissue injury. The efficacy of the novel Huoxue plaster is basically the same as that of the original powder.

Objective We aimed to observe the differences in the effects of different acupuncture technique on the endometrium of mice with simple endometrial hyperplasia model and to explore the potential mechanisms. Methods According to the random number tables,32 female C57BL/6J mice were divided into a blank control group,a model group,a quick needle group and a retaining needle group,with 8 mice in each group. A mouse model of simple endometrial hyperplasia was established using bilateral ovariectomy combined with estrogen loading. In the quick needle group,mice were punctured at the bilateral for "Yinbai"(SP1) points and withdrawn immediately,with the treatmeat performed once every other day for a total of 12 times. In the retaining needle group,mice were punctured at the bilateral "Yinbai"(SP1) points and the needles were retained for 15 min each time,with the treatment also performed once every other day for a total of 12 times. After the intervention,samples were collected. HE staining was used to observe morphological changes in the mouse uterine tissue;ELISA was used to detect serum estradiol level;flow cytometry was used to detect the ratio of M1 and M2 macrophages(M1/M2) and immunohistochemical method was used to measure the expression of CD86 and CD206 in uterine tissue;and Western blotting was used to detect the expression of interleukin-13 (IL-13) and interferon-γ(IFN-γ) in uterine tissue. Results The endometrium of mice in the model group showed simple hyperplasia. Compared with the blank control group,the endometrium of the model group was thickened (P<0.01);the level of estradiol in the serum was increased (P<0.01);M1/M2 in uterine tissues was decreased (P<0.01),the expression of CD86 was decreased (P<0.01),and the positive expression of CD206 was increased (P<0.01);and the level of IFN-γ protein expression in uterine tissues was decreased (P<0.01),and the expression of IL-13 protein was increased (P<0.01). Compared with the model group,the endometrial thicknesses of the quick needle group and the retaining needle group were reduced (P<0.05),the levels of estradiol in serum were reduced (P<0.05),M1/M2 in uterine tissues increased (P<0.01),and the reduction of CD206 positive expression,and IL-13 protein expression reduced (P<0.01);the level of CD86 positive expression,IFN-γ protein expression increased (P<0.01). Compared with the quick needle group,IL-13 protein expression increased in the retaining needle group (P<0.01).Conclusion Both quick needle and retaining needle may be through the regulation of the expression of IFN-γ and IL-13,thus prompting the polarization of macrophages from M2 to M1 type,inhibiting the pro-cell proliferative ability and tissue repair ability of M2 type macrophages,thus reducing the degree of endometrial hyperplasia,and the quick needle group was superior to the retaining needle group in regulating the expression of IL-13.

Objective:To evaluate the clinical efficacy of acupuncture in the treatment of anxiety state in patients with primary insomnia(PI). Methods:Randomized controlled trials of acupuncture treatment for PI patients with an anxiety state in Web of Science,Cochrane Library,PubMed,Excerpta Medica Database(EMBASE),China National Knowledge Infrastructure(CNKI),Wanfang Data Knowledge Service Platform(Wanfang),and Chongqing VIP Database(VIP)were retrieved by computer.The retrieval time was from each database's inception to December 30,2022.Data extraction and evaluation were performed for the included studies.The Cochrane risk of bias assessment tool was used to assess the risk of bias in each article.Meta-analysis of valid data was performed using the RevMan 5.4 software.If the outcome indicator was a categorical variable,relative risk(RR)was used as the effect size.If it was a continuous variable,mean difference(MD)was used to calculate the effect size.Each effect size was expressed as a 95%confidence interval(CI).P<0.05 was considered to indicate a statistically significant difference. Results:A total of 18 studies were included,comprising a total of 1198 patients.The findings of the meta-analysis showed that electroacupuncture had a significant advantage in improving the Hamilton anxiety scale(HAMA)score than benzodiazepines[MD=-1.61,95%CI(-2.17,-1.06),P<0.001].Acupuncture was superior to sham acupuncture[MD=-14.90,95%CI(-20.39,-9.41),P<0.001]and benzodiazepines[MD=-3.39,95%CI(-4.67,-2.12),P<0.001]in reducing the self-rating anxiety scale(SAS)score.Acupuncture was superior to sham acupuncture in reducing the insomnia severity index(ISI)score[MD=-5.61,95%CI(-6.63,-4.89),P<0.001].Acupuncture was superior to benzodiazepines[MD=0.84,95%CI(-1.42,-0.25),P=0.005]and sham acupuncture[MD=-8.39,95%CI(-8.39,-7.86),P<0.001]in improving the Pittsburgh sleep quality index(PSQI)score.Acupuncture had a better effective rate than benzodiazepines[RR=1.16,95%CI(1.08,1.25),P<0.001]and sham acupuncture[RR=8.94,95%CI(4.63,17.25),P<0.001]in treating PI. Conclusion:Acupuncture or electroacupuncture has certain therapeutic advantages over benzodiazepines and sham acupuncture in the treatment of anxiety in PI patients.However,more high-quality randomized controlled trials are needed for further verification.

Adult ; Humans ; Heart Arrest/therapy* ; Cardiopulmonary Resuscitation ; Emergency Service, Hospital ; Out-of-Hospital Cardiac Arrest/therapy* ; Treatment Outcome

Objective: To observe the effects of different frequencies of pricking-bloodletting at auricular points plus auricular point sticking therapy on the levels of the serum immunoglobulin G (IgG), immunoglobulin M (IgM), testosterone (T), and insulin-like growth factor-1 (IGF-1) in patients with acne vulgaris (AV). Methods: Ninety patients with AV were randomly assigned to treatment group 1, treatment group 2, and treatment group 3 according to the random number remainder grouping method, with 30 cases in each group. All three groups received pricking-bloodletting at auricular points plus auricular point sticking therapy. Treatment group 1 was treated once a week, treatment group 2 was treated twice a week, and treatment group 3 was treated 3 times a week. Four-week treatment was taken as 1 treatment course, and 3 treatment courses were observed. On the day before the start of the study and on the day next to the end of each course, the global acne grading system (GAGS) score was recorded, and 3 mL of blood from the median cubital vein was collected to test the serum levels of IgG, IgM, T, and IGF-1. After 3 courses of treatment, the efficacy index was calculated according to the GAGS score, and the serum indicators in patients with effective treatment (efficacy index ≥20％) and complete sampling were analyzed. Results: A total of 60 patients were included in the final blood indicator analysis. After 3 courses of treatment, the intra-group comparisons showed that the serum IgG level increased significantly in patients in treatment group 1 (P<0.01); the serum T level decreased significantly in the female patients in treatment group 2 (P<0.05); the IGF-1 level significantly decreased in the patients in all three groups (P<0.05 or P<0.01). There were no significant differences in the serum levels of IgG, IgM, T, and IGF-1 among the three groups at each time point (P>0.05). Conclusion: Pricking-bloodletting at auricular points plus auricular point sticking therapy can affect the levels of serum IgG, T, and IGF-1 in AV patients. The level of the serum IGF-1 can be reduced by treatment once a week, twice a week, or 3 times a week. Treatment once a week can increase the patients' serum IgG level, and treatment twice a week can significantly decrease the serum T level in female patients. Reducing the serum IGF-1 level may be one of the action mechanisms of pricking-bloodletting at auricular points plus auricular point sticking therapy in treating AV.