关键词: 单核细胞/高密度脂蛋白胆固醇比值, 结直肠癌, 列线图模型

Abstract:

Objective To investigate the clinical application value of monocyte-to-high-density lipoprotein cholesterol ratio（MHR） in the diagnosis of colorectal cancer（CRC）. Methods A total of 87 patients with CRC（CRC group） and 68 patients with benign colorectal polyps（benign polyp group） from Tongji Hospital of Tongji University from September 2019 to December 2023 were enrolled. The clinical data were collected，and platelet（PLT）count，the absolute value of monocytes，the absolute value of neutrophils，high-density lipoprotein cholesterol（HDL-C），carbohydrate antigen 19-9（CA19-9） and carcinoembryonic antigen（CEA） were determined. The MHR，neutrophil-to-high-density lipoprotein cholesterol ratio（NHR） and lymphocyte-to-high-density lipoprotein cholesterol ratio（LHR）were calculated. Multivariate Logistic regression analysis was used to evaluate the influencing factors of CRC occurrence. A nomogram model was constructed，and its efficacy was evaluated by receiver operating characteristic（ROC） curve，decision curve，calibration curve and Hosmer-Lemeshow goodness-of-fit test. Results The age，PLT count，NHR，MHR，CA19-9 and CEA levels in CRC group were higher than those in benign polyp group（P<0.05）. The HDL-C level and body mass index（BMI） were lower than those in benign polyp group（P<0.05）. Elevated PLT count，MHR and CEA and decreased BMI were independent risk factors for CRC（P<0.05）. A nomogram model was constructed based on PLT count，MHR，CEA and BMI，and the area under curve（AUC） for predicting CRC was 0.852，with a high degree of fit（Hosmer-Lemeshow χ²=2.955，P=0.966）. Within the threshold probability range，the clinical net benefit was >0，and the maximum net benefit value was 0.56. Conclusions The nomogram prediction model based on PLT count，MHR，CEA and BMI has a high clinical efficacy in predicting CRC.

Key words: Monocyte-to-high-density lipoprotein cholesterol ratio, Colorectal cancer, Nomogram model