Objective:To explore the predictive value of platelet aggregation function for acute kidney injury (AKI) in sepsis patients based on decision curve.Methods:A retrospective study was conducted to collect and analyze the clinical data of 120 sepsis patients admitted to the Affiliated Hospital of Jiangnan University from January 2021 to December 2023. According to the incidence of AKI during hospitalization, they were divided into AKI group (37 cases) and non-AKI group (83 cases). The general data, platelet aggregation function index (platelet aggregation rate) and other laboratory indexes of the two groups were collected and compared. Logistic regression model was used to analyze the relationship between AKI and main indexes of platelet aggregation function in patients with sepsis. The area under the curve (AUC) was obtained by drawing the receiver operating characteristic (ROC) curve, and the predictive value of platelet aggregation function on AKI in patients with sepsis was analyzed. R language software was used to construct a nomogram model of platelet aggregation function combined with other main indicators to predict AKI in patients with sepsis. Based on the decision curve, the predictive efficacy of the model on AKI in patients with sepsis was analyzed.Results:The platelet aggregation rate in the AKI group was lower than that in the non-AKI group: (56.23 ± 7.86)% vs. (68.79 ± 8.54)%, and the thrombin time was longer than that in the non-AKI group: 17.00 (16.50, 18.00) s vs. 16.00 (15.00, 17.00) s. The levels of D-dimer, C-reactive protein and procalcitonin were higher than those in the non-AKI group: (1.55 ± 0.45) mg/L vs. (1.32 ± 0.41) mg/L, (107.53 ± 18.41) mg/L vs. (99.86 ± 17.25) mg/L, (3.10 ± 0.46) μg/L vs. (2.88 ± 0.42) μg/L, and the differences were statistically significant ( P<0.05). The results of constructing a Logistic regression model showed that AKI in sepsis patients may be related to abnormal levels of platelet aggregation rate, thrombin time, C-reactive protein and procalcitonin ( P<0.05). The ROC curve was drawn to obtain the corresponding AUC: the AUC of platelet aggregation rate predicting sepsis complicated with AKI was 0.860 (95% CI 0.789 to 0.931), which had certain predictive value. When the platelet aggregation rate was set to 62.84%, the best predictive value can be obtained, with sensitivity, specificity, and Jorden index of 83.80%, 80.70%, and 0.645, respectively. The nomogram model of platelet aggregation function assisting other major indicators in predicting AKI in sepsis patients had a C-index of 0.904 (95% CI 0.851 to 0.957), indicating good discrimination of the model. Through decision curve analysis of the clinical net benefit of the model, the results showed that the clinical net benefit of the model was higher than that of platelet aggregation rate and other major indicators when applied alone. When the risk threshold was within the range of 0 to 0.81 and 0.97 to 1.00, the model could provide a significant increase in clinical net benefit rate. Conclusions:Platelet aggregation function (platelet aggregation rate) can serve as an early auxiliary predictive indicator for the risk of AKI in sepsis patients, and can assist other major indicators to improve the predictive value of AKI in sepsis patients.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Objective:To explore the predictive value of platelet aggregation function for acute kidney injury (AKI) in sepsis patients based on decision curve.Methods:A retrospective study was conducted to collect and analyze the clinical data of 120 sepsis patients admitted to the Affiliated Hospital of Jiangnan University from January 2021 to December 2023. According to the incidence of AKI during hospitalization, they were divided into AKI group (37 cases) and non-AKI group (83 cases). The general data, platelet aggregation function index (platelet aggregation rate) and other laboratory indexes of the two groups were collected and compared. Logistic regression model was used to analyze the relationship between AKI and main indexes of platelet aggregation function in patients with sepsis. The area under the curve (AUC) was obtained by drawing the receiver operating characteristic (ROC) curve, and the predictive value of platelet aggregation function on AKI in patients with sepsis was analyzed. R language software was used to construct a nomogram model of platelet aggregation function combined with other main indicators to predict AKI in patients with sepsis. Based on the decision curve, the predictive efficacy of the model on AKI in patients with sepsis was analyzed.Results:The platelet aggregation rate in the AKI group was lower than that in the non-AKI group: (56.23 ± 7.86)% vs. (68.79 ± 8.54)%, and the thrombin time was longer than that in the non-AKI group: 17.00 (16.50, 18.00) s vs. 16.00 (15.00, 17.00) s. The levels of D-dimer, C-reactive protein and procalcitonin were higher than those in the non-AKI group: (1.55 ± 0.45) mg/L vs. (1.32 ± 0.41) mg/L, (107.53 ± 18.41) mg/L vs. (99.86 ± 17.25) mg/L, (3.10 ± 0.46) μg/L vs. (2.88 ± 0.42) μg/L, and the differences were statistically significant ( P<0.05). The results of constructing a Logistic regression model showed that AKI in sepsis patients may be related to abnormal levels of platelet aggregation rate, thrombin time, C-reactive protein and procalcitonin ( P<0.05). The ROC curve was drawn to obtain the corresponding AUC: the AUC of platelet aggregation rate predicting sepsis complicated with AKI was 0.860 (95% CI 0.789 to 0.931), which had certain predictive value. When the platelet aggregation rate was set to 62.84%, the best predictive value can be obtained, with sensitivity, specificity, and Jorden index of 83.80%, 80.70%, and 0.645, respectively. The nomogram model of platelet aggregation function assisting other major indicators in predicting AKI in sepsis patients had a C-index of 0.904 (95% CI 0.851 to 0.957), indicating good discrimination of the model. Through decision curve analysis of the clinical net benefit of the model, the results showed that the clinical net benefit of the model was higher than that of platelet aggregation rate and other major indicators when applied alone. When the risk threshold was within the range of 0 to 0.81 and 0.97 to 1.00, the model could provide a significant increase in clinical net benefit rate. Conclusions:Platelet aggregation function (platelet aggregation rate) can serve as an early auxiliary predictive indicator for the risk of AKI in sepsis patients, and can assist other major indicators to improve the predictive value of AKI in sepsis patients.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Objective To investigate the differences in preoperative obesity-related diseases and body composition between adolescents and adults with obesity undergoing metabolic surgery. Methods A total of 454 patients who underwent metabolic surgery in Nanjing Drum Tower Hospital from July 2016 to July 2022 were recruited and divided into the adolescent group (age ≤19 years,n=61) and the adult group (age>19 years,n=393) according to the age of surgery. Preoperative body composition,obesity-related complications and metabolic indicators were compared between the two groups. Results Compared with adolescent group,age,obesity duration,DBP,WHR,trunk body fat percentage,Android fat/Gynoid fat,FPG,HbA1c,2 hPG,TC,TG,UACR,FOL and VitB12 were increased (P<0.05 or P<0.01),while height,weight,HC,total body fat percentage,thigh body fat percentage,Gynoid body fat percentage,FIns,2 hIns,SUA,AKP,eGFR,ALB,Ca2+were decreased in the adult group(P<0.05 or P<0.01).The incidence of prediabetes,grade 1 hypertension,hyperuricemia and psychological diseases was higher(P<0.05 or P<0.01),while the incidence of T2DM,grade 2 hypertension,grade 3 hypertension,liver fibrosis,carotid plaque and OSAHS was lower in adolescent group than in adult group (P<0.05 or P<0.01). Conclusions The preoperative fat distribution is healthier in adolescent patients with obesity undergoing metabolic surgery than that of adults.Obesity-related metabolic complications have already developed in adolescent patients,but less severe than in adult patients. Psychological health and nutritional supplementation should be emphasized in adolescents after metabolic surgery.

Objective:To observe the effects of Zhulian stimulant type Ⅰ acupuncture on the expression of brain-derived neurotrophic factor (BDNF) and its receptor TrkB and tissue homogenate cyclic adenosine phosphate (cAMP) in rats with diabetic bladder (DCP); To explore the mechanism of Zhulian stimulant type Ⅰacupuncture on DCP.Methods:Totally 50 SD rats were divided into control group, model group, Western medicine group, ordinary acupuncture group, Zhulian stimulant type Ⅰ acupuncture treatment group (acupuncture treatment group) according to random number table method, with 10 rats in each group. DCP rat model was prepared by intraperitoneal injection of streptozotocin (STZ), except for the control group. The Western medicine group was given mecobalamine for gavage; acupoints of "Zhongji", "Sanyinjiao", "Liechou" and "Taichong" were selected. The ordinary acupuncture group was treated with ordinary acupuncture technique, and the acupuncture treatment group was treated with Zhulian stimulant type Ⅰ acupuncture, 1 time/d, 30 minutes/time. Samples were taken after 4 weeks of treatment. The maximum bladder volume, residual urine volume and wet weight of the bladder were detected. The morphology of rat bladder was observed by HE staining. The expression level of BDNF was detected by immunohistochemistry. The expression of cAMP was detected by Western blot. The level of TrkB was determined by ELISA. Real-time fluorescence quantitative PCR (RT-PCR) was used to detect the mRNA expressions of BDNF and cAMP.Results:Compared with model group, maximum bladder volume, residual urine volume and wet weight of bladder in Western medicine group, ordinary acupuncture group and acupuncture treatment group decreased ( P<0.01), and those in Western medicine group and acupuncture treatment group were lower than those in ordinary acupuncture group ( P<0.01). The expressions of BDNF mRNA and protein, cAMP mRNA and protein in Western medicine group, ordinary acupuncture group and acupuncture treatment group increased ( P<0.05), and the level of TrkB increased, and the Western medicine group and acupuncture treatment group were higher than that in ordinary acupuncture group ( P<0.05). Conclusions:Zhuliping stimulant type Ⅰ acupuncture has a protective effect on the bladder function of diabetic rats. The mechanism may be related to the up-regulation of BDNF and mRNA, TrkB, cAMP and mRNA expressions.

Objective:To observe the inhibiting effects of manual acupuncture(MA)on bladder cell apoptosis in rats with diabetic neurogenic bladder(DNB)based on the protein and mRNA expression of B-cell lymphoma-leukemia(Bcl)-2,Bcl-2-associated X(Bax)protein,caspase-3,and the protein expression of α-smooth muscle actin(α-SMA),transforming growth factor(TGF)-β in the bladder tissue. Methods:A DNB rat model was established via intraperitoneal injection of streptozotocin(STZ).The rats were randomly divided into a control group,a model group,and an MA group,with 10 rats in each group.For the MA group,MA was applied after modeling.The body mass,fasting blood glucose(FBG),bladder wet weight,and bladder histomorphology were observed.Protein and mRNA expression levels of Bcl-2,Bax,and caspase-3 and the protein expression of α-SMA and TGF-β in the bladder tissue were determined.The apoptotic index of bladder cells was also evaluated. Results:After STZ injection,compared with the control group,the model group and the MA group both showed higher FBG from week 3 and lower body mass from week 9(P<0.05),and had a larger bladder wet weight(P<0.05).Compared with the model group,the MA group showed a smaller bladder wet weight(P<0.05).The histopathological evaluation indicated that MA improved muscle fiber alignment and detrusor cell compensatory hypertrophy in the bladder tissue.In addition,compared with the control group,the apoptotic index increased significantly in the model group and the MA group(P<0.05);the protein and mRNA expression levels of Bax and caspase-3 and the protein expression level of TGF-β in the bladder tissue in the model group and the MA group increased significantly(P<0.05),while the protein and mRNA expression levels of Bcl-2 and the protein expression level of α-SMA in the bladder tissue decreased significantly(P<0.05).Compared with the model group,the apoptotic index of the MA group decreased significantly(P<0.05);the protein and mRNA expression levels of Bax and caspase-3 and the protein expression level of TGF-β in the bladder tissue decreased significantly(P<0.05),while the protein and mRNA expression levels of Bcl-2 and the protein expression level of α-SMA in the bladder tissue increased significantly(P<0.05). Conclusion:MA can protect the bladder by inhibiting the excessive apoptosis of bladder cells,which may be related to the down-regulation of Bax and caspase-3 proteins and mRNAs and TGF-β protein expression,and the up-regulation of Bcl-2 protein and mRNA and α-SMA protein expression.

Objective To investigate the differences in preoperative obesity-related diseases and body composition between adolescents and adults with obesity undergoing metabolic surgery. Methods A total of 454 patients who underwent metabolic surgery in Nanjing Drum Tower Hospital from July 2016 to July 2022 were recruited and divided into the adolescent group (age ≤19 years,n=61) and the adult group (age>19 years,n=393) according to the age of surgery. Preoperative body composition,obesity-related complications and metabolic indicators were compared between the two groups. Results Compared with adolescent group,age,obesity duration,DBP,WHR,trunk body fat percentage,Android fat/Gynoid fat,FPG,HbA1c,2 hPG,TC,TG,UACR,FOL and VitB12 were increased (P<0.05 or P<0.01),while height,weight,HC,total body fat percentage,thigh body fat percentage,Gynoid body fat percentage,FIns,2 hIns,SUA,AKP,eGFR,ALB,Ca2+were decreased in the adult group(P<0.05 or P<0.01).The incidence of prediabetes,grade 1 hypertension,hyperuricemia and psychological diseases was higher(P<0.05 or P<0.01),while the incidence of T2DM,grade 2 hypertension,grade 3 hypertension,liver fibrosis,carotid plaque and OSAHS was lower in adolescent group than in adult group (P<0.05 or P<0.01). Conclusions The preoperative fat distribution is healthier in adolescent patients with obesity undergoing metabolic surgery than that of adults.Obesity-related metabolic complications have already developed in adolescent patients,but less severe than in adult patients. Psychological health and nutritional supplementation should be emphasized in adolescents after metabolic surgery.

Objective:To evaluate the epidemiology of bacterial bloodstream infections in patients submitted to hematologic wards in southern China.Methods:A total of 50 teaching hospitals were involved based on the China Antimicrobial Resistance Surveillance System. The data of clinical isolates from blood samples were collected from January 1, 2019, to December 31, 2019. Antimicrobial susceptibility testing was conducted by the Kirby-Bauer automated systems, and the results were interpreted using the CLSI criteria.Results:The data of 1,618 strains isolated from hematologic wards in 2019 were analyzed, of which gram-negative bacilli and gram-positive cocci accounted for 71.8% and 28.2%, respectively. Of those, the five major species were most often isolated, including Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, coagulase-negative staphylococcus, and Streptococcus viridans. The prevalence rates of methicillin-resistant strains in Staphylococcus aureus and coagulase-negative staphylococcus were 19.7% and 80.6%, respectively. No gram-positive cocci were resistant to vancomycin, linezolid, and teicoplanin, and none of the enterococci were resistant to linezolid. The resistance rate of S. viridans to penicillin G was 6.9%, and those to ceftriaxone and cefotaxime were more than 25%. The resistance rate of E. coli and K. pneumoniae in Enterobacteriaceae was higher in children than that in adults. The resistance rate of K. pneumoniae to meropenem was 14.1%. The resistant rate of Enterobacter cloacae to carbapenem was more than 25%. P. aeruginosa was more sensitive to more antibiotics than 80%, but the resistance rate to meropenem in children was higher than that in adults (11.8% vs. 6.5%). The proportion of gram-positive cocci in the ICU and respiratory departments was higher than that in the hematology department. The detection rates of carbapenem-resistant E. coli and K. pneumoniae in the respiratory department were the lowest with 0.3% and 3.7%, respectively, while those of CRPA and CRAB in the hematology department were the lowest with 8.3% and 25.8%, respectively. The detection rate of all carbapenem-resistant organisms in the ICU was the highest among the three departments.Conclusion:The etiology and drug resistance of bacteria from blood samples in the hematology department are different from those in the ICU and respiratory departments. The proportions of K. pneumoniae, P. aeruginosa, E. cloacae, and S. viridans dominating in the department of Hematology were significantly higher than those in the ICU and respiratory departments in Guangdong region.

Objective: To evaluate the value of Prostate Imaging Reporting and Data System Version 2 (PI-RADS ) based biparametric magnetic resonance imaging (bpMRI) for predicting prostate biopsy results in patients with elevated prostate specific antigen (PSA). Methods: The bpMRI from 539 patients who took transperineal template saturate biopsy from January 2015 to October 2017 were assessed retrospectively. The average age was 69.5 years old (44-88 years), with tPSA level of 7.23 ng/ml (4-10 ng/ml), f/t PSA of 0.183( 0.016-0.504), PSAD of 0.126 ng/ml² ( 0.025-0.534 ng/ml²) , PV of 72.42 ml ( 18.71-199.51 ml). The age, PSA level, free/total PSA ratio, PSA density, prostate volume, and PI-RADS score of enrolled patients were analyzed for univariate analysis and their difference was compared by chi-square test, t-test. The multivariate logistic regression analysis was also performed through SPSS to select the independent risk factors for prostate cancer (PCa) and clinically significant cancer (csPCa). The receiver operating characteristic curves were also constructed to analyze the sensitivity and specificity of PI-RADS in PCa to explore the best cut-off value for the diagnosis of PCa and csPCa. Results: A total of 539 patients were included in our study with 244 cases being positive and 295 cases being negative. In patients with positive results, 59 patients were diagnosed csPCa. According to univariate analysis results, the age(P<0.001) and PI-RADS score (P<0.001) of the positive patients were higher than the negative patients, and the difference was statistically significant. The age of the csPCa patients (P=0.023), PSAD (P=0.048) and PI-RADS scores (P<0.001) were higher than those of InsPCa patients, and f/t PSA (P=0.027) was lower than that of InsPCa patients with statistically significance. Multivariate logistic regression analysis demonstrated that f /t PSA (OR=2.283, P=0.049) and PI-RADS score (OR=9.046, P<0.001) were independent risk factors for positive biopsy results, while PSAD (OR=4.54, P=0.038) and PI-RADS score (OR=8.254, P<0.001) were independent risk factor for csPCa. The Yoden index analysis of different thresholds for prostate cancer detection indicated that PI-RADS 3 was the optimal threshold for the diagnosis of PCa, and PI-RADS 4 was the optimal threshold for the diagnosis of csPCa. Based on the combination of the above factors, the positive rate of prostate cancer was relatively high in patients with PI-RADS score ≥3 and f/t PSA<0.2 , which accounted for 86.6%(181/209). In contrast, the positive rate in patients with a PI-RADS score of ≤2 and f/t PSA≥0.2 was low, which accounted for 10.7%(6/56). The positive rate of csPCa was relatively high in patients with PI-RADS score≥4 and PSAD≥0.15 ng/ml^2, which accounted for 76.0%(38/50). The positive rate of csPCa detected in patients with ≤3 and PSAD<0.15 ng/ml² was low, which accounted for 0(0/359). Conclusions PI-RADS score could be used to reduce the unnecessary prostate biopsies in patients with elevated PSA when combined with other PSA related markers. Patients with a PI-RADS score of ≤3 and a PSAD ratio <0.15 ng/ml² could avoid unnecessary biopsies.