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.

Study on the risk factors of tuberculosis in four cities and provinces in China / 中华流行病学杂志

<p><b>OBJECTIVE</b>To investigate the influencing factors on tuberculosis (TB) in four provinces in the eastern and central parts of China.</p><p><b>METHODS</b>From Nov. 2009 to Feb. 2011, three population-based field surveys were conducted among the resident population in several townships/streets in Guangdong, Hunan and Jiangsu provinces and Shanghai municipality to collect TB-related information. 474 sputum smear positive TB patients and 1896 controls were randomly selected from the population under study and each case was matched by province, age and sex using a frequency matching method. Single-variable and multiple non-conditional logistic regression modeling were applied for data analysis, and odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated.</p><p><b>RESULTS</b>Data from Single-variable analysis showed that TB history, history of exposure to TB, DM history, immigrant population and per-capita living space were risk factors for TB, and high level of education was protective factors.</p><p><b>RESULTS</b>from multiple logistic regression showed that the risk factors of TB would include the following items: history of having had TB (OR = 52.356, 95%CI: 18.956 - 144.607), living space over 50 m(2)per-capita (OR = 8.742, 95%CI: 1.107 - 69.064), history of exposure to TB (OR = 6.083, 95%CI: 2.336 - 15.839) and being immigrants (OR = 3.306, 95%CI: 1.907 - 5.734), while having had high degree of education as the protective factor of TB (OR = 0.284, 95%CI: 0.110 - 0.733).</p><p><b>CONCLUSION</b>Control programs targeting those ever having TB patients and contacts to TB patients as well as immigrants should be strengthened.</p>