A Prognostic Model Based on Nutritional Indexes for Patients With Pan-Cancer: A Real-World Cohort Study.

BACKGROUND: The aim was to identify the nutritional indexes, construct a prognostic model, and develop a nomogram for predicting individual survival probability in pan-cancers. METHODS: Nutritional indicators, clinicopathological characteristics, and previous major treatment details of the patients were collected. The enrolled patients were randomly divided into training and validation cohorts. Least absolute shrinkage and selection operator (Lasso) regression cross-validation was used to determine the variables to include in the cox regression model. The training cohort was used to build the prediction model, and the validation cohort was used to further verify the discrimination, calibration, and clinical effectiveness of the model. RESULTS: A total of 2020 patients were included. The median OS was 56.50 months (95% CI, 50.36-62.65 months). In the training cohort of 1425 patients, through Lasso regression cross-validation, 13 characteristics were included in the model. Cox proportional hazards model was developed and visualized as a nomogram. The C-indexes of the model for predicting 1-, 3-, 5-, and 10-year OS were 0.848, 0.826, 0.814, and 0.799 in the training cohort and 0.851, 0.819, 0.814, and 0.801 in the validation cohort. The model showed great calibration in the two cohorts. Patients with a score of less than 274.29 had a better prognosis (training cohort: HR, 6.932; 95% CI, 5.723-8.397; log-rank p < 0.001; validation cohort: HR, 8.429; 95% CI, 6.180-11.497; log-rank p < 0.001). CONCLUSION: The prognostic model based on the nutritional indexes of pan-cancer can divide patients into different survival risk groups and performed well in the validation cohort.

Associations between retinal microvasculature/microstructure and renal function in type 2 diabetes patients with early chronic kidney disease.

AIMS: To explore the associations between the microvascular/microstructural changes in the retina measured by optical coherence tomography angiography (OCTA) and renal function in type 2 diabetes patients with early chronic kidney disease (CKD). METHODS: This cross-sectional study, including 150 type 2 diabetes patients, was conducted from July 2017 to January 2019. We obtained retinal vessel density (VD) and retinal thickness using OCTA. The correlations between OCTA-derived parameters and CKD-related systemic data were assessed by multiple regression analyses. RESULTS: We found a significant decrease of VD in patients with CKD. Multiple regression analyses showed that: a) decreased eGFR (estimated glomerular filtration rate) was significantly correlated with decreased VD of superficial vascular complex (SVC) in macular area; b) increased UACR (urine albumin to creatinine ratio) was significantly associated with increased macular thickness; c) decreased HGB/HCT (Hemoglobin or Hematocrit) was significantly correlated with both decreased VD of SVC and increased retinal thickness in macular area. CONCLUSIONS: Decrease in the microcirculation of the retina and thickening of the macula associated with impaired renal function in type 2 diabetes. Our finding encourages the application of OCTA-derived metrics in diabetic eyes to monitor the progression of CKD.