ABSTRACT
Objective: To explore the distribution patterns of cardiometabolic diseases (CMD) in elderly patients with colorectal cancer, and provide a reference for the prevention and treatment of cardiovascular metabolic diseases in these patients. Methods: Clinical data of 3 894 elderly patients with colorectal cancer from January 2008 to March 2018 admitted in the Chinese PLA General Hospital were recruited and the incidence rate of CMD was retrospectively analyzed. The influence factors of elderly patients with colorectal cancer combined with CMD were analyzed by multivariate Logistic regression model. Results: The morbidity rate of CMD in elderly patients with colorectal cancer is 33.4% (1 301/3 894), among them, the morbidity rate of the male was 31.9% (768/2 409), and that of the female was 35.9% (533/1 485). There was not significant difference between these two sex (P=0.074). The morbidity rates of CMD in patients of 65-74 years, 75-84 years and ≥85 years were 30.6% (754/2 462), 37.0% (479/1 294) and 49.3% (68/138), respectively, with significant differences (P<0.001). Multiple Logistic regression analysis revealed that female (OR=1.213, 95%CI: 1.056-1.394), age (75-84 years group: OR=1.344, 95%CI: 1.164-1.552; ≥85 years group: OR=2.345, 95%CI: 1.651-3.331) and body mass index (BMI 18.5-24.9 kg/m(2) group: OR=1.319, 95%CI: 1.065-1.638; ≥25 kg/m(2) group: OR=2.041, 95%CI: 1.627-2.561) were independent risk factors for elderly colorectal cancer patients with CMD. Conclusion: The morbidity rate of CMD in elderly patients with colorectal cancer increases with age and it is urgent to strengthen multidisciplinary cooperation and develop reasonable treatment plans to extend the survival and life quality of these patients.
Subject(s)
Aged , Aged, 80 and over , Female , Humans , Male , Cardiovascular Diseases , China/epidemiology , Colorectal Neoplasms , Retrospective Studies , Risk FactorsABSTRACT
Objective: To establish a Logistic model for quality assessment of Carthamus tinctorius based on content determination and bioactivity. Methods: A method to determinate hydroxy safflor yellow A by using ultra-high performance liquid chromatography (UPLC) was proposed. The activity of anticoagulant was reflected by thrombin time (TT) and the anti-oxidant activity was expressed by scavenging ability of hydroxyl radical and DPPH radical. Later, a Logistic model grade evaluation of C. tinctorius was constructed based on correlation analysis between content and biological activity Logistic.Results: The constructed Logistic model had outstanding stability and high prediction accuracy of grades and it divides 19 batches of C. tinctorius into four grades. Conclusion: The Logistic model based on content determination and biological activity is applicable to assess quality of C. tinctorius slices and provides some reference for quality control.
ABSTRACT
OBJECTIVE To use network pharmacology to predict and analyze the mechanism of Aconite-Ginger against myocardial ischemia. METHODS TCMSP was used to collect the active compounds of Aconite-Ginger and predict the targets of active compounds. At the same time, target sites of anti-myocardial ischemic injury drugs were collected using DisGeNET and CTD database,and then active compounds and target sites were compared.Analyze and screen out the targets of Aconite-Ginger anti-cardiac machine ischemia. GO, KEGG analysis and Aconite-Ginger drug molecule-target were performed on selected targets using MAS 3.0 and Cytoscape 3.3.0 software.RESULTS 27 common targets of Aconite-Ginger anti-ischemia ischemia and 63 signal pathways were predicted. CONCLUSION Aconite-Ginger mainly regulates calcium signal transduction, apoptosis and MAPK signaling pathway, which can also regulate through toll-like receptors, Fc epsilon RI and other signal pathways, so it is speculated that it may participate in regulation Apoptosis, inflammatory response, enhancement of myocardial function, etc., thereby exerting an anti-ischemic effect. It laid a good foundation for further revealing its mechanism of action.