Objective:To explore the influencing factors for pathological upgrading in prostate cancer patients with a Gleason score of 3 + 3 undergoing targeted biopsy，and to establish a nomogram prediction model.Methods:A retrospective analysis was conducted on 191 patients with localized prostate cancer diagnosed with a Gleason score of 3 + 3 through targeted biopsies at the First Affiliated Hospital of Nanjing Medical University from January 2020 to June 2024. The age of the patients was 67（61，73）years，with prostate-specific antigen（PSA）level of 7.44（5.53，10.19）ng/ml，prostate volume of 35.64（26.59，48.97）ml，and PSA density（PSAD）of 0.20（0.14，0.31）ng/ml 2. Among them，61 cases（31.94%）had a Prostate Imaging Reporting and Data System（PI-RADS）score of 3，104 cases（54.45%）had a score of 4，and 26 cases（13.61%）had a score of 5. The diameter of the main lesion was 10.75（7.86，14.00）mm. The lesions were located in the peripheral zone in 78 cases（40.84%），the transition zone in 99 cases（51.83%），and the anterior fibromuscular stroma in 14 cases（7.33%）. The lesions were found at the apex in 56 cases（29.32%），in the body in 120 cases（62.83%），and at the base in 15 cases（7.85%）. MRI revealed only one lesion with a PI-RADS score ≥ 3 in 131 cases，two suspected lesions in 43 cases，three suspected lesions in 12 cases，and four suspected lesions in 5 cases. Systematic biopsy was positive in 121 cases（63.4%）and negative in 70 cases（36.6%）. The lesions were confined to the left lobe in 63 cases（32.98%），right lobe in 68 cases（35.60%），and involved both lobes in 60 cases（31.41%）. The interval between biopsy and surgery was 9.0（7.0，14.0）days. Univariate analyses were performed using Mann-Whitney U tests or χ2 tests，and multivariate logistic regression was used to identify independent predictors of pathological upgrading. A nomogram model was constructed based on these independent predictors. The model’s discriminative ability was assessed using the area under the receiver operating characteristic（ROC）curve（AUC），and internal validation of the model’s consistency was conducted using the bootstrap resampling method. Decision curve analysis（DCA）was performed to assess clinical utility. Results:Among the 191 cases，60（31.4%）had no pathological upgrading after surgery，while 131（68.6%）showed upgrading. Univariate analysis showed that the maximum diameter of the main lesion［9.0（6.0，13.2）mm vs. 11.0（8.4，14.0）mm］，number of suspicious lesions on MRI［1.0（1.0，1.0）vs. 1.0（1.0，2.0）］，number of positive systematic biopsy cores［1.0（0，2.0）vs. 1.0（0，3.0）］，percentage of positive systematic biopsy cores［0.08（0，0.17）vs. 0.12（0，0.25）］，number of positive targeted biopsy cores［2.0（1.0，3.0）vs. 3.0（1.0，4.0）］，percentage of positive targeted biopsy cores［0.37（0.24，0.75）vs. 0.50（0.38，0.85）］，level of the index lesion，location of the index lesion，and PI-RADS score were associated with pathological upgrading（ P < 0.05）. Multivariate logistic regression analysis showed that PI-RADS score 4（ OR = 5.88，95% CI 2.41 - 14.35），number of suspicious lesions on MRI（ OR = 4.15，95% CI 1.88 - 9.17），location of the index lesion in the transition zone（ OR = 6.86，95% CI 2.81 - 16.73），and percentage of positive targeted biopsy cores（ OR = 4.37，95% CI 1.38 - 14.90）were independent risk factors for pathological upgrading（ P < 0.05）. The nomogram model constructed using these predictors had an AUC of 0.845. Internal validation using the Bootstrap method yielded an AUC value of 0.812，indicating high predictive accuracy of the model. The calibration curve indicated good calibration. Decision curve analysis showed that the threshold range for net benefit in the model was between 12% - 100%. Conclusions:The PI-RADS score 4，the number of lesions with PI-RADS ≥ 3，the location of the main lesion in the transition zone，and the percentage of positive needles in targeted biopsy are independent risk factors for pathological upgrading from Gleason score 3 + 3. The nomogram model constructed from these factors demonstrates good predictive performance and provides a reference for clinical decision-making.

Objective:To explore the influencing factors for pathological upgrading in prostate cancer patients with a Gleason score of 3 + 3 undergoing targeted biopsy，and to establish a nomogram prediction model.Methods:A retrospective analysis was conducted on 191 patients with localized prostate cancer diagnosed with a Gleason score of 3 + 3 through targeted biopsies at the First Affiliated Hospital of Nanjing Medical University from January 2020 to June 2024. The age of the patients was 67（61，73）years，with prostate-specific antigen（PSA）level of 7.44（5.53，10.19）ng/ml，prostate volume of 35.64（26.59，48.97）ml，and PSA density（PSAD）of 0.20（0.14，0.31）ng/ml 2. Among them，61 cases（31.94%）had a Prostate Imaging Reporting and Data System（PI-RADS）score of 3，104 cases（54.45%）had a score of 4，and 26 cases（13.61%）had a score of 5. The diameter of the main lesion was 10.75（7.86，14.00）mm. The lesions were located in the peripheral zone in 78 cases（40.84%），the transition zone in 99 cases（51.83%），and the anterior fibromuscular stroma in 14 cases（7.33%）. The lesions were found at the apex in 56 cases（29.32%），in the body in 120 cases（62.83%），and at the base in 15 cases（7.85%）. MRI revealed only one lesion with a PI-RADS score ≥ 3 in 131 cases，two suspected lesions in 43 cases，three suspected lesions in 12 cases，and four suspected lesions in 5 cases. Systematic biopsy was positive in 121 cases（63.4%）and negative in 70 cases（36.6%）. The lesions were confined to the left lobe in 63 cases（32.98%），right lobe in 68 cases（35.60%），and involved both lobes in 60 cases（31.41%）. The interval between biopsy and surgery was 9.0（7.0，14.0）days. Univariate analyses were performed using Mann-Whitney U tests or χ2 tests，and multivariate logistic regression was used to identify independent predictors of pathological upgrading. A nomogram model was constructed based on these independent predictors. The model’s discriminative ability was assessed using the area under the receiver operating characteristic（ROC）curve（AUC），and internal validation of the model’s consistency was conducted using the bootstrap resampling method. Decision curve analysis（DCA）was performed to assess clinical utility. Results:Among the 191 cases，60（31.4%）had no pathological upgrading after surgery，while 131（68.6%）showed upgrading. Univariate analysis showed that the maximum diameter of the main lesion［9.0（6.0，13.2）mm vs. 11.0（8.4，14.0）mm］，number of suspicious lesions on MRI［1.0（1.0，1.0）vs. 1.0（1.0，2.0）］，number of positive systematic biopsy cores［1.0（0，2.0）vs. 1.0（0，3.0）］，percentage of positive systematic biopsy cores［0.08（0，0.17）vs. 0.12（0，0.25）］，number of positive targeted biopsy cores［2.0（1.0，3.0）vs. 3.0（1.0，4.0）］，percentage of positive targeted biopsy cores［0.37（0.24，0.75）vs. 0.50（0.38，0.85）］，level of the index lesion，location of the index lesion，and PI-RADS score were associated with pathological upgrading（ P < 0.05）. Multivariate logistic regression analysis showed that PI-RADS score 4（ OR = 5.88，95% CI 2.41 - 14.35），number of suspicious lesions on MRI（ OR = 4.15，95% CI 1.88 - 9.17），location of the index lesion in the transition zone（ OR = 6.86，95% CI 2.81 - 16.73），and percentage of positive targeted biopsy cores（ OR = 4.37，95% CI 1.38 - 14.90）were independent risk factors for pathological upgrading（ P < 0.05）. The nomogram model constructed using these predictors had an AUC of 0.845. Internal validation using the Bootstrap method yielded an AUC value of 0.812，indicating high predictive accuracy of the model. The calibration curve indicated good calibration. Decision curve analysis showed that the threshold range for net benefit in the model was between 12% - 100%. Conclusions:The PI-RADS score 4，the number of lesions with PI-RADS ≥ 3，the location of the main lesion in the transition zone，and the percentage of positive needles in targeted biopsy are independent risk factors for pathological upgrading from Gleason score 3 + 3. The nomogram model constructed from these factors demonstrates good predictive performance and provides a reference for clinical decision-making.

A retrospective analysis was conducted on 5 516 patients diagnosed with prostate cancer(PCa) at our hospital. Among these, 52 patients aged ≤ 50 years were defined as the early-onset group.For the control group, 228 patients aged >50 years were randomly selected at a ratio of 1∶4.4. The early-onset group predominantly presented with elevated PSA levels at diagnosis and had a lower positive rate of digital rectal examination. There were no significant differences in clinical and pathological characteristics between the early-onset group and the control group. Young PCa patients in the low to intermediate risk categories had similar survival prognosis to older patients. However, young patients with high-risk prostate cancer had 5-year progression-free survival rate of 38.4% compared to 55.6% for older patients, and 5-year cancer-specific survival rate of 70.1% compared to 84.1% for older patients, indicating that high-risk young patients exhibited poorer oncological outcomes.

A retrospective analysis was conducted on 5 516 patients diagnosed with prostate cancer(PCa) at our hospital. Among these, 52 patients aged ≤ 50 years were defined as the early-onset group.For the control group, 228 patients aged >50 years were randomly selected at a ratio of 1∶4.4. The early-onset group predominantly presented with elevated PSA levels at diagnosis and had a lower positive rate of digital rectal examination. There were no significant differences in clinical and pathological characteristics between the early-onset group and the control group. Young PCa patients in the low to intermediate risk categories had similar survival prognosis to older patients. However, young patients with high-risk prostate cancer had 5-year progression-free survival rate of 38.4% compared to 55.6% for older patients, and 5-year cancer-specific survival rate of 70.1% compared to 84.1% for older patients, indicating that high-risk young patients exhibited poorer oncological outcomes.

【Objective】 To establish a management information system (referred to as the system) for plasma collection stations in Zhejiang province, so as to explore the current situation of plasma donors and implement effective supervision in Zhejiang. 【Methods】 The system was developed and connected to four plasma collection stations that were officially operating in Zhejiang in terms of plasma station setting and approval, as well as the publicity, recruitment and management of plasma donors, information management of the whole process of plasma collection, management of deferral plasma donors, plasma quality management and administrative supervision etc. Relevant plasma donor information was uploaded to the system by each plasma station, and information before (January 2016 to December 2020) and after (January 8, 2021 to June 2021) the system was collected. Information included the number of plasma donors/donations, demographic information of eligible plasma donors in the past 5 years, the type of plasma donors, and the deferral donors after the system was activated. The online approval of Plasma Donation Certificate and the intelligent supervision of key points of plasma apheresis stations in Zhejiang were also conducted. The frequency and composition ratio were described, and chi-square test was used for statistical analysis. 【Results】 The system (V1.0) was established and was officially launched on January 8, 2021, realizing the interconnection of blood donation and plasma donation information as well as the unified management of 24 quality indicators. Since the system was applied (January 8, 2021-June 2021), the proportion of donors both donated blood and plasma over the province was 3.56 (832/23 389), and 352 deferred donors were masked by the system. And 30.11% (106/352) , who intended to donate plasma, were deferred due to insufficient interval after blood donation; 11.65% (41/352) due to permanent masking in blood donations; 23.86% (23.86%) , who intended to donate blood, were deferred due to insufficient interval after plasma donation ( 84/352); 34.38% (121/352) due to permanent masking in plasma donations. The median approval rate of four plasma stations applying for Plasma Donation Certificate before the system (January 1, 2016 to January 7, 2021) and after the system (January 8 to June 2021) were 93.38% (10 609/11 361) vs 99.50% (2 602/2 615). Before the system was put into launch, the ratio of male to female donors and the proportion of regular donors showed an overall upward trend, while the age decreased slightly. The median proportion of women in the past 5 years was 61.52 %, significantly higher than that in last 6 months after the launch(58.86%). 【Conclusion】 The application of the system can realize information interconnection between blood centers and plasma collection stations in Zhejiang as well as the real-time supervision of plasma collection process, which is helpful to overcome the shortcomings in plasma donor management.

【Objective】 To investigate the changing pattern of polymer content in the manufacturing process of human immunoglobulin, especially the correlation between pH value and polymer content, so as to provide basis for the control of polymer in human immunoglobulin products. 【Methods】 IVIG and HBIG low pH intermediate samples were taken and their pH values were adjusted to different gradients with 0.5 or 0.1 mol/L HCl. The polymer content was detected by HPLC, and the influence of different pH values on polymer content was observed and analyzed. 【Results】 With low pH value, the polymer content of samples increased from <1% to 10% with the decrease of pH value. When pH value was in the range of 3.85~3.10, the polymer content in the samples increased from 0.38% to 15.5% exponentially with the decrease of pH value. The logarithm of polymer was linearly correlated with pH value. 【Conclusion】 When pH value is low, polymer content of human immunoglobulin is significantly affected by pH value. Keeping pH value above 4.0 during the whole manufacturing process of human immunoglobulin is suggested.

Objective To investigate the risk factors of perioperative complications of laparoscopic radical distal gastrectomy and influence of body shape on the short-term therapeutic effects.Methods The retrospective case-control study was conducted.The clinicopathological data of 506 patients (328 males and 178 females,average age 60 years with the range of 24-85 years) who underwent laparoscopic radical distal gastrectomy+D2 lymph nodes dissection in the 8 clinical centers between March 2016 and November 2018 were collected,including 143 in the First Affiliated Hospital of Xiamen University,66 in the Affiliated Hospital of Qinghai University,66 in the Second Affiliated Hospital of Wenzhou Medical University,64 in the Zhongshan Hospital of Xiamen University,54 in the Affiliated Hangzhou First people's Hospital of Zhejiang University School of Medicine,48 in the Zhangzhou Affiliated Hospital of Fujian Medical University,35 in the Affiliated Quanzhou First Hospital of Fujian Medical University,30 in the Second Affiliated Hospital of Xiamen Medical College.The maximum thickness of subcutaneous fat at the level of umbilicus (USCF),the maximum vertical distance between the anterior abdominal skin and the back skin at the level of the umbilicus (UAPD),the maximum horizontal distance between the anterior abdominal skin and the back skin at the level of the umbilicus (UTD),the maximum verticaldistance between the anterior abdominal skin and the back skin at the level of the xiphoid bone (XAPD),the maximum horizontal distance between the.anterior abdominal skin and the back skin at the level of the xiphoid bone (XTD),the distance between the anterior abdominal skin and the root of celiac artery (CAD) and the maximum horizontal distance at a right angle to CAD (CATD) were measured using preoperative imaging examinations.Observation indicators:(1) intraoperative and postoperative situations;(2) follow-up situations;(3) risk factors analysis of perioperative complications;(4) influence of body shape related indexes on intraoperative situations and postoperative recovery:① Pearson univariate correlation analysis,② liner regression model analysis.Followup using outpatient examination and telephone interview was performed to detect the postoperative survival and tumor recurrence or metastasis up to December 2018.Measurement data with normal distribution were represented as Mean±SD.Measurement data with skewed distribution were described as M (range).Comparisons of count data were analyzed using the chi-square test.Comparisons of ordinal data were analyzed by Mann-Whitney U nonparametric test.Risk factors of perioperative complications of laparoscopic distal gastrectomy were analyzed by Logistic regression model.Influence of body shape related indexes on intraoperative situations and postoperative recovery was analyzed by Pearson univariate correlation analysis and liner regression model.Results (1) Intraoperative and postoperative situations:all the 506 patients underwent successful laparoscopic distal gastrectomy,including 103 with Billroth Ⅰ anastomosis,140 with Billroth Ⅱ anastomosis,201 with Billroth Ⅱ + Braun anastomosis,62 with Roux-en-Y anastomosis.The operation time,volume of intraoperative blood loss,number of lymph nodes dissected,time to postoperative anal exsufflation,time for initial fluid diet intake,time for initial semi-fluid diet intake and duration of postoperative hospital stay were (233±44)minutes,(102±86)mL,34±13,(3.6±1.5)days,(5.8±3.3)days,(8.3±3.8)days,(12.2±5.7)days respectively in the 506 patients.Of 506 patients,196 were defined as pathological stage Ⅰ,122 were defined as pathological stage Ⅱ and 188 were defined as pathological stage Ⅲ postoperatively.Of 506 patients,93 had 106 times of perioperative complications,including 33 times of pulmonary and upper respiratory infection,12 times of incisional infection,11 times of anastomotic leakage,11 times of abdominal infection,8 times of intestinal obstruction,8 times of gastroplegia,6 times of abdominal hemorrhage,5 times of bacteremia,3 times of anastomotic hemorrhage,3 times of lymph fluid leakage,2 times of pancreatic leakage,1 time of urinary infection,1 time of anatomotic stenosis,1 time of deep venous thrombosis and 1 time of pulmonary embolism;the same patient can merge multiple complications.Eleven patients were in the Clavien-Dindo classification ≥ Ⅲ.(2) Follow-up situations:465 of 506 patients were followed up for 1-32 months with a median time of 12 months.During the follow-up,451 had postoperative survival and 38 had tumor recurrence or metastasis.(3) Risk factors analysis of perioperative complications.① Results of univariate analysis showed that age,body mass index (BMI),preoperative hemoglobin,preoperative serum albumin and XAPD were related factors affecting perioperative complications of laparoscopic distal gastrectomy (x2 =10.289,7.427,5.269,5.481,4.285,P＜ 0.05).② Results of multivariate analysis showed that age,BMI,preoperative serum albumin were independent related factors affecting perioperative complications of laparoscopic distal gastrectomy (odds ratio =1.033,1.118,0.937,95％ interval confidence:1.011-1.057,1.025-1.219,0.887-0.990,P＜0.05).(4) Influence of body shape related indexes on intraoperative situations and postoperative recovery.① Results of Pearson univariate correlation analysis showed correlations between UAPD,XAPD,CAD,CATD and volume of intraoperative blood loss (r=0.107,0.169,0.179,0.106,P＜0.05),between UAPD,XAPD,CAD and the number of lymph nodes dissected (r=-0.137,-0.143,-0.173,P＜0.05),between USCF,XAPD and time to postoperative anal exsufflation (r =0.122,0.109,P＜0.05),between USCF,XAPD,CAD and time for initial fluid diet intake (r=0.132,0.108,0.132,P＜0.05),between USCF,XAPD and duration of postoperative hospital stay (r=0.116,0.100,P＜0.05).② Results of liner regression model analysis showed a positive correlation between CAD and volume of intraoperative blood loss (r =6.776),a negative correlation between CAD and the number of lymph nodes dissected (r =-0.841),with statistically significant differences (t =2.410,-1.992,P＜ 0.05);a positive correlation between USCF and time to postoperative anal exsufflation (r=0.170),between USCF and time for initial fluid diet intake (r=0.365),between USCF and duration of postoperative hospital stay (r=0.636) respectively,with statisticallysignificant differences (t =2.188,1.981,2.107,P＜ 0.05).Conclusions Abdominal shape can influence intraoperative situations and postoperative recovery of laparoscopic distal gastrectomy,but cannot increase risks ofperioperative complications.Age,BMI and preoperative serum albumin are independent related factors affecting perioperative complications of laparoscopic distal gastrectomy.

ObjectiveTo evaluate the relationship between the proliferation of parathyroid cell in rabbit with primary hyperparathyroidism (PHPT) and the bone mineral density (BMD). MethodsEighty adult Chinese rabbits were randomly and equally divided into two groups. The contrast group was fed with normal diet ( Ca ∶ P, 1.0 ∶ 0. 7 ) and the experimental group was fed with high phosphate diet ( Ca ∶ P,1.0∶7.0) to establish the animal model of PHPT. At 3, 4, 5, and 6 months after the diet, bone mineral density of the rabbits was measured by the quantity CT (QCT). Then, the parathyroid and bone of the rabbits were removed for pathological examination. The number of parathyroid cell in PHPT was calculated.Proliferation was determined by immunohistochemistry of proliferation cell nuclear antigen ( PCNA ) and Bcl-2. The t test and Logistic regression was used to analyze the difference of data of two groups. ResultThe number of parathyroid cell in PHPT group was 1.61 times than that in the contrast group[ (673 ± 151 ) HP,(418 ± 25 ) HP,P ＜0. 01]. The rate of PCNA positive-cell was significantly increased in PHPT group than that in contrast group [(50.52 ± 11.62)％o, (26.70 ± 2. 78 )％, P ＜ 0.01], and so was Bcl-2[ (460. 37 ± 190. 05 )‰, (67. 02 ±:4. 38 )％‰,P ＜0. 05]. The value of BMD was significantly decreased in PHPT group than that in contrast group [ ( 152. 5 ± 34. 3 ), ( 188.6 ± 12. 2 ) g/cm3, P ＜ 0. 05]. There was a negative correlation between BMD and PCNA (r ＝ -0. 749, P ＜ 0. 05 ) and between BMD and Bcl-2 (r ＝-0.800, P ＜ 0. 05 ) in PHPT group. ConclusionThe BMD of PHPT is related to the parathyroid cells proliferation which provide a reliable method for early diagnosis of PHPT.