ObjectiveTo explore the prognostic value of fasting blood glucose concentration in patients with newly diagnosed lung cancer.MethodsThe clinical data of 956 patients with lung cancer who were first diagnosed at West China Hospital of Sichuan University between January 2008 and December 2011 were retrospectively analyzed. The patients were followed up for more than 5 years. Using the fasting blood glucose concentration of 6.1 mmol/L as the cut-off value, the patients were divided into the hyperglycemia group and the control group. Kaplan-Meier method was used for survival analysis, and log-rank test was used to analyze the survival of different groups. Univariate and multivariate Cox proportional hazard models were used to evaluate the prognostic variables.ResultsThere were 166 patients in the hyperglycemia group with a 5-year overall survival rate of 23.5%, and 790 patients in the control group with a 5-year survival rate of 30.8%, and the difference between the two groups was statistically significant (P=0.008). Univariate Cox proportional hazard analysis found that blood glucose concentration, gender, age, smoking history, staging, and whether surgery were factors that affected the 5-year survival rate of patients (P<0.05); multivariate Cox proportional hazard analysis showed that blood glucose concentration [hazard ratio (HR)=1.235, 95% confidence interval (CI) (1.013, 1.504), P=0.036], age [HR=1.305, 95%CI (1.110, 1.534), P=0.001], smoking history [HR=1.210, 95%CI (1.033, 1.418), P=0.018], staging [HR=1.546, 95%CI (1.172, 2.040), P=0.002], and whether surgical treatment [HR=0.330, 95%CI (0.257, 0.424), P<0.001] were independent factors which influenced 5-year survival rate. Blood glucose concentration, age, smoking history, and staging were independent risk factors.ConclusionFasting blood glucose concentration is able to be a prognostic factor for patients with newly diagnosed lung cancer.
ObjectiveTo explore the prognostic value of modified Glasgow Prognostic Score (mGPS) in lung cancer patients.MethodsThe clinical data and follow-up information of patients with lung cancer diagnosed for the first time in West China Hospital of Sichuan University from August 2008 to May 2013 were retrospectively analyzed. Overall survival (OS) of patients with different mGPS were compared by Kaplan-Meier test and log-rank test. Univariate and multivariate Cox proportional hazard analysis were performed, and hazard ratio (HR) and 95% confidence interval (CI) were counted to evaluate the predictive value of different prognostic factors in patients with lung cancer.ResultsA total of 289 patients were included. According to the mGPS score, 127 patients had 0 point, 90 patients had 1 point, and 72 patients had 2 points. The OS of lung cancer patients with mGPS=0 was better than that of patients with mGPS=1 and mGPS=2 (P<0.001). Cox proportional hazards of univariate analysis revealed that age< 65 (P=0.022), stage for Ⅰand Ⅱ (P<0.001), surgery (P<0.001), chemotherapy (P=0.018), and mGPS=0 (1 vs. 0, P=0.008; 2 vs. 0, P<0.001) were the protective factors for lung cancer patients (P<0.05). Multiple-factor analysis showed that age [HR=0.680, 95%CI (0.508, 0.911), P=0.010], stage [HR=0.580, 95%CI (0.359, 0.939), P=0.027], operation [HR=0.254, 95%CI (0.140, 0.459), P<0.001], chemotherapy [HR=0.624, 95%CI (0.435, 0.893), P=0.010], mGPS (1 vs. 0) [HR=1.548, 95%CI (1.101, 2.176), P=0.012] and mGPS (2 vs. 0) [HR=1.425, 95%CI (1.003, 2.024), P=0.048] were independent predictors of OS in patients with lung cancer.ConclusionmGPS could be considered as an independent prognostic factor in lung cancer.