Pre-operative prognostic nutritional index as a predictive factor for prognosis in non-metastatic renal cell carcinoma treated with surgery / 北京大学学报(医学版)

OBJECTIVE@#To evaluate the implications of the prognostic nutrition index (PNI) in non-metastatic renal cell carcinoma (RCC) patients treated with surgery and to compare it with other hematological biomarkers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII).@*METHODS@#A cohort of 328 non-metastatic RCC patients who received surgical treatment between 2010 and 2012 at Peking University First Hospital was analyzed retrospectively. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values of the hematological biomarkers. The Youden index was maximum for PNI was value of 47.3. So we divided the patients into two groups (PNI≤ 47. 3 and >47. 3) for further analysis. Categorical variables [age, gender, body mass index (BMI), surgery type, histological subtype, necrosis, pathological T stage and tumor grade] were compared using the Chi-square test and Student' s t test. The association of the biomarkers with overall survival (OS) and disease-free survival (DFS) was analyzed using Kaplan-Meier methods with log-rank test, followed by multivariate Cox proportional hazards model.@*RESULTS@#According to the maximum Youden index of ROC curve, the best cut-off value of PNI is 47. 3. Low level of PNI was significantly associated with older age, lower BMI and higher tumor pathological T stage (P < 0.05). Kaplan-Meier univariate analysis showed that lower PNI was significantly correlated with poor OS and DFS (P < 0.05). In addition, older age, lower BMI, tumor necrosis, higher tumor pathological T stage and Fuhrman grade were significantly correlated with poor OS (P < 0.05). Cox multivariate analysis showed that among the four hematological indexes, only PNI was an independent factor significantly associated with OS, whether as a continuous variable (HR=0.9, 95%CI=0.828-0.978, P=0.013) or a classified variable (HR=2.397, 95%CI=1.061-5.418, P=0.036).@*CONCLUSION@#Low PNI was a significant predictor for advanced pathological T stage, decreased OS, or DFS in non-metastatic RCC patients treated with surgery. In addition, PNI was superior to the other hematological biomar-kers as a useful tool for predicting prognosis of RCC in our study. It should be externally validated in future research before the PNI can be used widely as a predictor of RCC patients undergoing nephrectomy.

The Institute of Urology, Peking University prostatectomy score: A simple preoperative classification of prostate cancer for predicting surgical difficulty and risk / 亚洲男科学杂志(英文版)

Traditional laparoscopic radical prostatectomy is a treatment choice in many developing countries and regions for most patients with localized prostate cancer; however, no system for predicting surgical difficulty and risk has been established. This study aimed to propose a simple and standard preoperative classification system of prostate cancer using preoperative data to predict surgical difficulty and risk and to evaluate the relationship between the data and postoperative complications. We collected data from 236 patients and divided them into three groups to evaluate and validate the relationships among preoperative, operative, and postoperative data. This new scoring system is based on the body mass index, ultrasonic prostate volume, preoperative prostate-specific antigen level, middle lobe protrusion, and clinical stage. In the scoring group, we classified 89 patients into two groups: the low-risk group (score of <4) and high-risk group (score of ≥4), and then compared the postoperative data between the two groups. The positive surgical margin rate was higher in the high-risk group than low-risk group. The results in validation Groups A and B were similar to those in the scoring group. The focus of our scoring system is to allow for preliminary assessment of surgical difficulty by collecting the patients' basic information. Urologists can easily use the scoring system to evaluate the surgical difficulty and predict the risks of a positive surgical margin and urinary incontinence in patients undergoing laparoscopic radical prostatectomy.

The Institute of Urology, Peking University prostatectomy score: a simple preoperative classification of prostate cancer for predicting surgical difficulty and risk / 亚洲男科学杂志(英文版)

Traditional laparoscopic radical prostatectomy is a treatment choice in many developing countries and regions for most patients with localized prostate cancer; however, no system for predicting surgical difficulty and risk has been established. This study aimed to propose a simple and standard preoperative classification system of prostate cancer using preoperative data to predict surgical difficulty and risk and to evaluate the relationship between the data and postoperative complications. We collected data from 236 patients and divided them into three groups to evaluate and validate the relationships among preoperative, operative, and postoperative data. This new scoring system is based on the body mass index, ultrasonic prostate volume, preoperative prostate-specific antigen level, middle lobe protrusion, and clinical stage. In the scoring group, we classified 89 patients into two groups: the low-risk group (score of <4) and high-risk group (score of ≥4), and then compared the postoperative data between the two groups. The positive surgical margin rate was higher in the high-risk group than low-risk group. The results in validation Groups A and B were similar to those in the scoring group. The focus of our scoring system is to allow for preliminary assessment of surgical difficulty by collecting the patients' basic information. Urologists can easily use the scoring system to evaluate the surgical difficulty and predict the risks of a positive surgical margin and urinary incontinence in patients undergoing laparoscopic radical prostatectomy.