PURPOSE: We carried out the study aiming to explore and analyze the risk factors, the distribution of pathogenic bacteria, and their antibiotic-resistance characteristics influencing the occurrence of surgical site infection (SSI), to provide valuable assistance for reducing the incidence of SSI after traumatic fracture surgery. METHODS: A retrospective case-control study enrolling 3978 participants from January 2015 to December 2019 receiving surgical treatment for traumatic fractures was conducted at Tangdu Hospital of Air Force Medical University. Baseline data, demographic characteristics, lifestyles, variables related to surgical treatment, and pathogen culture were harvested and analyzed. Univariate analyses and multivariate logistic regression analyses were used to reveal the independent risk factors of SSI. A bacterial distribution histogram and drug-sensitive heat map were drawn to describe the pathogenic characteristics. RESULTS: Included 3978 patients 138 of them developed SSI with an incidence rate of 3.47% postoperatively. By logistic regression analysis, we found that variables such as gender (males) (odds ratio (OR) = 2.012, 95% confidence interval (CI): 1.235 - 3.278, p = 0.005), diabetes mellitus (OR = 5.848, 95% CI: 3.513 - 9.736, p < 0.001), hypoproteinemia (OR = 3.400, 95% CI: 1.280 - 9.031, p = 0.014), underlying disease (OR = 5.398, 95% CI: 2.343 - 12.438, p < 0.001), hormonotherapy (OR = 11.718, 95% CI: 6.269 - 21.903, p < 0.001), open fracture (OR = 29.377, 95% CI: 9.944 - 86.784, p < 0.001), and intraoperative transfusion (OR = 2.664, 95% CI: 1.572 - 4.515, p < 0.001) were independent risk factors for SSI, while, aged over 59 years (OR = 0.132, 95% CI: 0.059 - 0.296, p < 0.001), prophylactic antibiotics use (OR = 0.082, 95% CI: 0.042 - 0.164, p < 0.001) and vacuum sealing drainage use (OR = 0.036, 95% CI: 0.010 - 0.129, p < 0.001) were protective factors. Pathogens results showed that 301 strains of 38 species of bacteria were harvested, among which 178 (59.1%) strains were Gram-positive bacteria, and 123 (40.9%) strains were Gram-negative bacteria. Staphylococcus aureus (108, 60.7%) and Enterobacter cloacae (38, 30.9%) accounted for the largest proportion. The susceptibility of Gram-positive bacteria to Vancomycin and Linezolid was almost 100%. The susceptibility of Gram-negative bacteria to Imipenem, Amikacin, and Meropenem exceeded 73%. CONCLUSION Orthopedic surgeons need to develop appropriate surgical plans based on the risk factors and protective factors associated with postoperative SSI to reduce its occurrence. Meanwhile, it is recommended to strengthen blood glucose control in the early stage of admission and for surgeons to be cautious and scientific when choosing antibiotic therapy in clinical practice.
Humans ; Surgical Wound Infection/epidemiology* ; Male ; Female ; Risk Factors ; Retrospective Studies ; Middle Aged ; Adult ; Case-Control Studies ; Fractures, Bone/surgery* ; Aged ; Drug Resistance, Bacterial ; Logistic Models ; Anti-Bacterial Agents/therapeutic use* ; Incidence ; Bacteria/drug effects*

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

Objective:To explore the function and mechanism of transcription factor En1 in esophageal squamous cell carcinoma (ESCC).Methods:The correlations of En1 with prognosis were analyzed using the overall survival data of 9 397 pan-cancer patients and progression-free survival data of 4 349 pan-cancer patients from The Cancer Genome Atlas (TCGA) database. The En1 expression data in 53 and 155 cases of ESCC and their paired adjacent tissues were from Gene Expression Omnibus (GEO) database and National Genomics Data Center-Genome Sequence Archive(NGDC-GSA)database. Lentivirus was used to generate En1 stable knockout cell lines KYSE180 and KYSE450. The proliferation ability of the cells was detected by cell counting kit 8 and clone formation assay. The migration ability of the cells was detected by Transwell assay. The effect of En1 on the proliferation of ESCC was detected by xenograft experiment in BALB/c-nu/nu mice. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) was used to detect the expressions of En1, glioma-associated oncogene family zinc finger 1 (GLI1), glioma-associated oncogene family zinc finger 2 (GLI2) and smoothened (SMO).Results:Pan-cancer data from TCGA showed that patients with low En1 expression had longer overall survival and progression-free survival than patients with high En1 expression ( P< 0.001). Data from GEO and GSA databases also showed a high expression level of En1 in ESCC tissues compared with paired tissues ( P＜0.001). Proliferation was inhibited after knockout of En1 in KYSE180 and KYSE450 cells ( P＜0.001). The colony formation numbers decreased. The colony formation numbers of KYSE180 cells in the shEn1#1 group and the shEn1#2 group were 138.33±23.07 and 127.00±19.70, respectively, significantly lower than that of the shNC group 340.67±12.06 ( P<0.001). The colony formation numbers of KYSE450 cells in the shEn1#1 group and the shEn1#2 group were 65.33±2.52 and 9.00±3.00, respectively, significantly lower than that of the shNC group 139.00±13.00 ( P<0.001). The migration numbers was inhibited after knockout of En1 [the Transwell numbers of KYSE180 cells in the shEn1#1 group and the shEn1#2 group were 66.67±12.66 and 71.33±11.02, respectively, significantly lower than that of the shNC group 334.67±16.56 ( P<0.001). The Transwell numbers of KYSE450 cells in the shEn1#1 group and the shEn1#2 group were 112.33±14.57 and 54.33±5.51, respectively, significantly lower than that of the shNC group 253.33±21.03 ( P<0.001)]. Xenograft model showed a slower growth rate of shEn1#1 and shEn1#2 cell lines ( P＜0.001). The tumor weights of KYSE450 cells in the shEn1#1 group and the shEn1#2 group were (0.046±0.026)g and (0.047±0.025)g, respectively, significantly lower than that of the shNC group (0.130±0.038)g ( P＜0.001). After knockdown of En1, the relative expression levels of GLI1 in KYSE180 cells of the shEn1#1 group and the shEn1#2 group were 0.326±0.162 and 0.322±0.133, and the relative expression levels of GLI1 in KYSE450 cells of the shEn1#1 and shEn1#2 groups were 0.131±0.006 and 0.352±0.050, respectively, which were all lower than that in the shNC group ( P＜0.01). After knockdown of En1, overexpression of GLI1 attenuated the inhibitory effect of knockdown of En1 on cell proliferation ( P＜0.001), colony formation[the colony formation numbers of the shEn1#1-GLI1 group were 151.00±9.54, higher than 102.33±10.02 ( P=0.004) of the shEn1#1-vector group] and migration [the migration numbers of the shEn1#1-GLI1 group were 193.67±10.07, higher than 109.33±11.50 ( P<0.001) in the shEn1#1-vector group]. In clinical samples of ESCC, major regulatory factors of the Hedgehog pathway were up-regulated and the pathway was activated. Conclusion:En1 promotes the proliferation and migration of ESCC cells by regulating the Hedgehog pathway and can be used as a new potential target for targeted therapy of ESCC.

Objectives:To evaluate the clinical value of the Paris system for reporting urinary cytology (TPS) in the diagnosis of urothelial carcinoma (UC).Methods:A total of 1 744 cytological diagnostic records (from 751 cases) were collected retrospectively. All specimens were voided urines and histopathology as the gold standard. The sensitivity and specificity of urinary cytological diagnosis of UC and risk of high grade malignant (ROHM) in each diagnostic category were compared.Results:There were 360 cases with histopathology. The percentage of negative for high-grade urothelial carcinoma (NHGUC) was 30.1% (226/751), atypical urothelial cells (AUC) was 29.8% (224/751), suspicious for high-grade urothelial carcinoma (SHGUC) was 16.8% (126/751), high grade urothelial carcinoma (HGUC) was 21.2% (159/751), and non-urothelial malignancy (NUM) was 2.1% (16/751). The histpathologic ROHM corresponding to each cytological diagnosis category were 27.3% for NHGUC, 32.7% for AUC, 74.7% for SHGUC, 96.6% for HGUC and 100.0% for NUM, respectively. ROHM of SHGUC was significantly higher than that of AUC group, and the difference between the two groups was statistically significant ( P＜0.001). ROHM of HGUC group was significantly higher than that of SHGUC group, and the difference was statistically significant ( P＜0.001). With SHGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 76.7% (165/215) and 85.7% (18/21), and with HGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 53.0% (114/215) and 100.0% (21/21), respectively. Conclusions:Urine cytology has high sensitivity and specificity in the diagnosis of HGUC. The malignant risk of TPS varies with different diagnosis category. The high malignant risk population in cancer hospital leads to the relatively high malignant proportion and ROHM in each diagnosis category. Urinary cytology TPS reporting system is helpful to clinical management and has good clinical application value.

Objective To observe the therapeutic effect of fourteen bone-setting manipulations and small splint fixation combined with No.8 Orthopedics Prescription(mainly composed of Rehmanniae Radix,Salviae Miltiorrhizae Radix et Rhizoma,Persicae Semen,Caulis Akebiae,Carthami Flos,Corydalis Rhizoma,and Notoginseng Radix et Rhizoma)on distal radius fracture.Methods A retrospective study was carried out in the analysis of the clinical data of 124 patients with distal radius fractures treated by fourteen bone-setting manipulations and small splint fixation in the Department of Orthopedics,Foshan Hospital of Traditional Chinese Medicine from September 2021 to September 2023.The patients were divided into an observation group(63 cases)and a control group(61 cases)depending on the medication of No.8 Orthopedics Prescription or not.The control group was treated with fourteen bone-setting manipulations and small splint fixation,while the observation group was treated with fourteen bone-setting manipulations and small splint fixation combined with No.8 Orthopedics Prescription.The two groups were treated for s one month and then were followed up for more than six months.The changes in the range of motion(ROM)of wrist pronation and supination and palmar flexion in the two groups were observed before treatment and three months after treatment.The time for starting wrist function exercise,time for subsiding swelling of the affected limb and fracture healing time were compared between the two groups.After six months of treatment,the wrist function improvement effect of the two groups was evaluated.Results(1)After treatment,the time for starting wrist joint functional exercise,time for subsiding swelling of the affected limb and the time for fracture healing in the observation group were significantly shortened compared with those in the control group,and the differences were statistically significant between the two groups(P＜0.01).(2)After three months of treatment,the ROM of wrist pronation and supination and palmar flexion in the two groups were significantly improved compared with those before treatment(P＜0.05),and the improvement of ROM of wrist pronation and supination and palmar flexion in the observation group was significantly superior to that in the control group,the differences being statistically significant(P＜0.01).(3)After six months of treatment,the evaluation of the wrist joint function of the two groups showed that the excellent and good rate of the observation group was 55.56％(35/63),and that of the control group was 45.90％(28/61).There was no significant difference in the improvement of wrist function between the two groups(Z=1.075,P=0.282).Conclusion Both methods can achieve satisfactory efficacy in the treatment of distal radius fracture,and the wrist function of the patients has been effectively restored.The treatment of fourteen bone-setting manipulations and small splint fixation combined with No.8 Orthopedics Prescription can significantly shorten the time for subsiding swelling of the affected limb,promote fracture healing and bone regeneration,improve wrist function,and relieve the pain of patients.

Objective:To explore the function and mechanism of transcription factor En1 in esophageal squamous cell carcinoma (ESCC).Methods:The correlations of En1 with prognosis were analyzed using the overall survival data of 9 397 pan-cancer patients and progression-free survival data of 4 349 pan-cancer patients from The Cancer Genome Atlas (TCGA) database. The En1 expression data in 53 and 155 cases of ESCC and their paired adjacent tissues were from Gene Expression Omnibus (GEO) database and National Genomics Data Center-Genome Sequence Archive(NGDC-GSA)database. Lentivirus was used to generate En1 stable knockout cell lines KYSE180 and KYSE450. The proliferation ability of the cells was detected by cell counting kit 8 and clone formation assay. The migration ability of the cells was detected by Transwell assay. The effect of En1 on the proliferation of ESCC was detected by xenograft experiment in BALB/c-nu/nu mice. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) was used to detect the expressions of En1, glioma-associated oncogene family zinc finger 1 (GLI1), glioma-associated oncogene family zinc finger 2 (GLI2) and smoothened (SMO).Results:Pan-cancer data from TCGA showed that patients with low En1 expression had longer overall survival and progression-free survival than patients with high En1 expression ( P< 0.001). Data from GEO and GSA databases also showed a high expression level of En1 in ESCC tissues compared with paired tissues ( P＜0.001). Proliferation was inhibited after knockout of En1 in KYSE180 and KYSE450 cells ( P＜0.001). The colony formation numbers decreased. The colony formation numbers of KYSE180 cells in the shEn1#1 group and the shEn1#2 group were 138.33±23.07 and 127.00±19.70, respectively, significantly lower than that of the shNC group 340.67±12.06 ( P<0.001). The colony formation numbers of KYSE450 cells in the shEn1#1 group and the shEn1#2 group were 65.33±2.52 and 9.00±3.00, respectively, significantly lower than that of the shNC group 139.00±13.00 ( P<0.001). The migration numbers was inhibited after knockout of En1 [the Transwell numbers of KYSE180 cells in the shEn1#1 group and the shEn1#2 group were 66.67±12.66 and 71.33±11.02, respectively, significantly lower than that of the shNC group 334.67±16.56 ( P<0.001). The Transwell numbers of KYSE450 cells in the shEn1#1 group and the shEn1#2 group were 112.33±14.57 and 54.33±5.51, respectively, significantly lower than that of the shNC group 253.33±21.03 ( P<0.001)]. Xenograft model showed a slower growth rate of shEn1#1 and shEn1#2 cell lines ( P＜0.001). The tumor weights of KYSE450 cells in the shEn1#1 group and the shEn1#2 group were (0.046±0.026)g and (0.047±0.025)g, respectively, significantly lower than that of the shNC group (0.130±0.038)g ( P＜0.001). After knockdown of En1, the relative expression levels of GLI1 in KYSE180 cells of the shEn1#1 group and the shEn1#2 group were 0.326±0.162 and 0.322±0.133, and the relative expression levels of GLI1 in KYSE450 cells of the shEn1#1 and shEn1#2 groups were 0.131±0.006 and 0.352±0.050, respectively, which were all lower than that in the shNC group ( P＜0.01). After knockdown of En1, overexpression of GLI1 attenuated the inhibitory effect of knockdown of En1 on cell proliferation ( P＜0.001), colony formation[the colony formation numbers of the shEn1#1-GLI1 group were 151.00±9.54, higher than 102.33±10.02 ( P=0.004) of the shEn1#1-vector group] and migration [the migration numbers of the shEn1#1-GLI1 group were 193.67±10.07, higher than 109.33±11.50 ( P<0.001) in the shEn1#1-vector group]. In clinical samples of ESCC, major regulatory factors of the Hedgehog pathway were up-regulated and the pathway was activated. Conclusion:En1 promotes the proliferation and migration of ESCC cells by regulating the Hedgehog pathway and can be used as a new potential target for targeted therapy of ESCC.

Objectives:To evaluate the clinical value of the Paris system for reporting urinary cytology (TPS) in the diagnosis of urothelial carcinoma (UC).Methods:A total of 1 744 cytological diagnostic records (from 751 cases) were collected retrospectively. All specimens were voided urines and histopathology as the gold standard. The sensitivity and specificity of urinary cytological diagnosis of UC and risk of high grade malignant (ROHM) in each diagnostic category were compared.Results:There were 360 cases with histopathology. The percentage of negative for high-grade urothelial carcinoma (NHGUC) was 30.1% (226/751), atypical urothelial cells (AUC) was 29.8% (224/751), suspicious for high-grade urothelial carcinoma (SHGUC) was 16.8% (126/751), high grade urothelial carcinoma (HGUC) was 21.2% (159/751), and non-urothelial malignancy (NUM) was 2.1% (16/751). The histpathologic ROHM corresponding to each cytological diagnosis category were 27.3% for NHGUC, 32.7% for AUC, 74.7% for SHGUC, 96.6% for HGUC and 100.0% for NUM, respectively. ROHM of SHGUC was significantly higher than that of AUC group, and the difference between the two groups was statistically significant ( P＜0.001). ROHM of HGUC group was significantly higher than that of SHGUC group, and the difference was statistically significant ( P＜0.001). With SHGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 76.7% (165/215) and 85.7% (18/21), and with HGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 53.0% (114/215) and 100.0% (21/21), respectively. Conclusions:Urine cytology has high sensitivity and specificity in the diagnosis of HGUC. The malignant risk of TPS varies with different diagnosis category. The high malignant risk population in cancer hospital leads to the relatively high malignant proportion and ROHM in each diagnosis category. Urinary cytology TPS reporting system is helpful to clinical management and has good clinical application value.

Objective:To investigate the arsenic metabolism pattern and possible influencing factors in the population in drinking-water-borne endemic arsenic poisoning (drinking-water-borne arsenic poisoning for short) areas.Methods:In December 2004, a cluster sampling method was used to select arsenic poisoning population (arsenic poisoning group) and healthy population (control group) in drinking-water-borne arsenic poisoning area of Bayannur City, Inner Mongolia Autonomous Region as the survey subjects. A questionnaire survey was conducted. Arsenic content in drinking water at home of survey subjects, the levels of urinary arsenic and its metabolites, including [trivalent arsenic (As Ⅲ), inorganic arsenic (iAs), monomethylarsenic acid (pentavalent, MMA V), dimethylarsenic acid (pentavalent, DMA V), total arsenic (tAs), percentage of inorganic arsenic (iAs%), percentage of monomethylarsenic acid (MMA%), percentage of dimethylarsenic acid (DMA%), primary methylation index (PMI), secondary methylation index (SMI)] were tested using high performance liquid chromatography-inductively coupled plasma mass spectrometry; nail arsenic and nail selenium levels were tested using atomic fluorescence spectrometer. The influencing factors of arsenic metabolism pattern were analyzed by multiple linear regression. Results:A total of 536 survey subjects were included, including 155 individuals in the arsenic poisoning group and 381 in the control group. The water arsenic level ranged from 0.0 to 825.7 μg/L. Compared with the control group, there was no significant difference in the distribution of gender, education level and dental fluorosis in the arsenic poisoning group ( P > 0.05), but there were significant differences in the distribution of age, marital status, smoking, drinking and water arsenic ( P < 0.05). Compared with the control group, the levels of urinary As Ⅲ, iAs, MMA V, DMA V, tAs, MMA%, MMA/DMA and nail arsenic in the arsenic poisoning group were higher ( P < 0.05), while the levels of urinary DMA%, SMI and nail selenium were lower ( P < 0.05); but there was no statistically significant difference in the levels of urinary iAs% and PMI ( P > 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary As Ⅲ (β = - 19.82, - 23.83, 0.61, 0.21, 7.26, 2.98, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary tAs (β = 3.18, 3.25, 1.31, 15.59, P < 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary iAs (β = - 20.47, - 25.90, 0.64, 0.25, 7.87, 3.11, P < 0.05). Age, gender, education level, water arsenic and nail arsenic were the influencing factors of urinary MMA V (β = 0.52, - 17.07, - 21.84, 0.22, 2.77, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary DMA V (β = 2.35, 2.47, 0.85, 9.22, P < 0.05). Conclusions:Compared with healthy individuals, there are differences in arsenic metabolism pattern among individuals with drinking-water-borne arsenic poisoning. Age, gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic may be influencing factors of different arsenic metabolism patterns.

Objective:To investigate the effects of low-frequency and high frequency repetitive transcranial magnetic stimulation (rTMS) combined with levodopa and benserazide hydrochloride on mild cognitive impairment in patients with Parkinson disease (PD).Methods:Totally 90 PD patients with mild cognitive impairment who visited from January 2020 to June 2022 were included , and they were divided into a simple drug group ( n=30), drug+ low-frequency group ( n=30), and drug+ high-frequency group ( n=30) according to the order of admission.The patients in the simple drug group were treated with oral levodopa and benserazide hydrochloride, while the patients in drug+ low-frequency and drug+ high-frequency groups were treated with low-frequency or high-frequency rTMS on the basis of oral levodopa and benserazide hydrochloride.Montreal cognitive assessment(MoCA), digital span (DS), Chinese auditory learning test (CALT), the judgment of line orientation test (JLOT) and verbal fluency test (VFT) were used to evaluate the cognitive function of patients before and after 4 weeks of treatment.SPSS 26.0 was used for statistical analysis.The paired t-test was used for intra-group comparison before and after treatment, while one-way ANOVA was used for inter-group comparison. Results:There were no significant differences in MoCA, DS anterograde, DS backward, CALT immediate recall, CALT delayed recall, JLOT, and VFT scores among patients in the simple drug group before and after 4 weeks of treatment( t=-1.157, -0.648, -0.215, -0.290, -0.154, -0.782, -0.960, all P>0.05). After 4 weeks of treatment, MoCA, DS anterograde, DS backward, CALT immediate recall, CALT delayed recall, JLOT and VFT scores in drug+ low-frequency group and drug+ high-frequency group were higher than before treatment (drug+ low frequency group: t=-16.357, -11.379, -7.999, -11.805, -16.624, -15.996, -17.241, all P<0.05; drug+ high-frequency group: t=-25.198, -13.971, -13.904, -25.831, -26.382, -20.108, -15.643, all P<0.05). There were no statistically significant differences in the scores of MoCA, DS anterograde, DS backward, CALT immediate recall, CALT delayed recall, JLOT and VFT among the three groups before treatment (all P>0.05). After treatment, there were statistically significant differences in the scores of MoCA, DS anterograde, DS backward, CALT immediate recall, CALT delayed recall, JLOT and VFT among the three groups (simple drug group : (20.37±1.96), (4.37±1.19), (2.80±0.55), (6.93±1.70), (5.17±1.09), (15.50±2.69), (10.73±1.55); drug+ low-frequency group: (23.83±2.32), (5.87±0.94), (3.87±0.73), (9.17±1.74), (8.13±1.50), (20.77±2.19), (13.30±1.73); drug+ high-frequency group: (27.17±1.64), (6.73±1.01), (4.80±0.81), (11.20±2.06), (10.03±1.54), (25.17±3.14), (15.87±2.05)) (all P<0.05). Further analysis showed that both the drug+ low-frequency and drug+ high-frequency groups had higher scores than the simple drug group, and the drug+ high-frequency group had higher scores than the drug+ low-frequency group(all P<0.05). Conclusion:The combination of drug+ low-frequency or drug+ high-frequency rTMS and drug therapy can help improve cognitive function in patients with PD, and the efficacy of drug+ high-frequency rTMS may be more significant, which provides a new therapeutic idea for clinical treatment of patients with PD.