ABSTRACT
Objective:To investigate the predictive value of controlling nutritional status (CONUT) score in the prognosis of patients with advanced diffuse large B-cell lymphoma (DLBCL).Methods:A retrospective case series study was performed. The clinical data of 654 patients newly diagnosed with advanced DLBCL diagnosed in 7 medical centers in Huaihai Lymphoma Working Group from October 2009 to January 2022 were retrospectively collected. All the patients received rituximab-based immune chemotherapy regimens. The patients were randomly assigned to the training set (458 cases) and the validation set (196 cases) in a 7:3 ratio. The clinicopathological data of patients were collected, and the CONUT score was calculated based on albumin, lymphocyte count, and total cholesterol. The optimal critical value of CONUT scote was determined by using MaxStat method. Kaplan-Meier method was used to draw survival curves; Cox proportional hazards model was used to make univariate analysis and multivariate analysis on the factors influencing overall survival (OS). The efficacy of CONUT score in combination with the International prognostic index (IPI) and an enhanced IPI (NCCN-IPI) in predicting OS was evaluated by using receiver operating characteristic (ROC) curves.Results:The median follow-up time of 654 patients was 38.1 months (95% CI: 35.3 months- 40.9 months), and the 5-year OS rate was 49.2%. According to the MaxStat method, the optimal critical value for CONUT score was determined to be 6 points. All the patients were classified into the normal nutritional status group (CONUT score ≤ 6 points, 489 cases) and the poor nutritional status group (CONUT score > 6 points, 165 cases). The results of the multivariate analysis showed that CONUT score > 6 points, male, lactate dehydrogenase >240 U/L, high white blood cell count, low hemoglobin level and age > 60 years were independent risk factors for OS of patients with advanced DLBCL (all P < 0.05). Patients in the poor nutritional status group (CONUT score > 6 points) had worse OS compared with that in the normal nutritional status group in the overall cohort of advanced DLBCL. Subgroup analysis revealed that among patients with Eastern Cooperative Oncology Group-performance status (ECOG PS) score < 2 points, IPI low-intermediate risk, IPI intermediate-high risk, NCCN-IPI low-intermediate risk, and NCCN-IPI intermediate-high risk, the patients in the poor nutritional status group (CONUT score > 6 points) had worse OS compared with that in the normal nutritional status group (CONUT score ≤ 6 points) (all P < 0.05). Conclusions:CONUT score has a certain value in the assessment of the prognosis of patients with advanced DLBCL, and its predictive efficacy is further improved when combined with IPI and NCCN-IPI.
ABSTRACT
Objective:To construct a practical education training quality evaluation system that can monitor the entire training process for the master of public health, and to provide a basis for improving the public health education system.Methods:Based on the survey of the current status of the master of public health, combined with the literature survey, the focus group discussion and the expert forum, an evaluation system was established, and the weight coefficient of each index was determined by the analytic hierarchy process (AHP). All data were entered by Excel double-person, and matlabR2018a was used to calculate the weight, and determine the maximum characteristic root of the matrix, consistency index and consistency ratio.Results:The evaluation index system consisted of 7 first-level indicators and 24 second-level indicators. The average authority coefficient of 32 experts was 0.791. The top three items with the highest weight in the first-level indicators were mentor guidance (0.213), professional practice (0.157) and scientific research topics (0.149). The weight coefficient consistency ratio ( CR) was 0.040, showing that the consistency test passed ( CR<0.1). Conclusion:The educational quality evaluation system of the master of public health constructed by the institute is scientific, and the weight of the evaluation index reflects the focus of the postgraduate training process of the master of public health, which can provide a reference for improving the quality of public health professionals.