RESUMEN
<p><b>OBJECTIVE</b>To assess the value of chitinase 3-like 1 (CHI3L1) alone or in combination with other biomarkers in the diagnosis of pancreatic cancer.</p><p><b>METHODS</b>Serum samples were collected from 70 patients with pancreatic cancer and 31 healthy subjects and the levels of CHI3L1, CA199, C3, C4, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein-cholesterol (LDL-C) in serum were detected.</p><p><b>RESULTS</b>The serum samples from pancreatic cancer patients showed significantly higher CHI3L1, CA199, C3, C4, HDL-C, and LDL-C levels than those from healthy subjects (P<0.05). In patients with pancreatic cancer, serum CHI3L1 level was significantly correlated with the administration of anti-cancer therapy (P<0.05), but not with gender, age, metastasis or other clinicopathological parameters (P<0.05). ROC curve analysis showed that serum CHI3L1, CA199, C3, C4, HDL-C, and LDL-C all had diagnostic value for pancreatic cancer. Multivariate analysis suggested that the combined detection model of CHI3L1, CA199, C3, and HDL-C (AUC=0.964) had a greater diagnostic value than CA199 (AUC=0.896) alone and the combined detection model consisting of CA199, C3, and HDL-C (AUC=0.923; P<0.05).</p><p><b>CONCLUSION</b>Serum levels of CHI3L1, CA199, C3, C4, HDL-C, and LDL-C all have diagnostic value for pancreatic cancer, and the combined model consisting of CHI3L1, CA199, C3, and HDL-C have greater diagnostic efficacy than the other biomarkers either alone or in combination.</p>
RESUMEN
To establish the parsimonious model for blood glucose monitoring in patients with type 2 diabetes receiving oral hypoglycemic agent treatment. One hundred and fifty-nine adult Chinese type 2 diabetes patients were randomized to receive rapid-acting or sustained-release gliclazide therapy for 12 weeks. Their blood glucose levels were measured at 10 time points in a 24 h period before and after treatment, and the 24 h mean blood glucose levels were measured. Contribution of blood glucose levels to the mean blood glucose level and HbA1c was assessed by multiple regression analysis. The correlation coefficients of blood glucose level measured at 10 time points to the daily MBG were 0.58-0.74 and 0.59-0.79, respectively, before and after treatment (P<0.0001). The multiple stepwise regression analysis showed that the blood glucose levels measured at 6 of the 10 time points could explain 95% and 97% of the changes in MBG before and after treatment. The three blood glucose levels, which were measured at fasting, 2 h after breakfast and before dinner, of the 10 time points could explain 84% and 86% of the changes in MBG before and after treatment, but could only explain 36% and 26% of the changes in HbA1c before and after treatment, and they had a poorer correlation with the HbA1c than with the 24 h MBG. The blood glucose levels measured at fasting, 2 h after breakfast and before dinner truly reflected the change 24 h blood glucose level, suggesting that they are appropriate for the self-monitoring of blood glucose levels in diabetes patients receiving oral anti-diabetes therapy.