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Objectives To assess the impact of cardiovascular disease (CVD) risk factor control on health-related quality of life (HRQoL), as well as the other influencing factors of HRQoL among high CVD risk individuals. Methods From 2015 to 2017, residents of six villages or communities in Inner Mongolia, selected using a multi-stage stratified cluster random sampling method, were invited to complete a questionnaire and undergo physical examination and laboratory testing. We selected participants whose predicted 10-year risk for CVD exceeded 10% as those with high CVD risk. HRQoL in individuals with high CVD risk was investigated based on the EuroQol-5 Dimension (EQ-5D) scale. The Chinese utility value integral system was used to calculate EQ-5D utility scores, and the Tobit regression model was used to analyze the influencing factors of HRQoL among individuals with high CVD risk. Results Of 13,359 participants with high CVD risk, 65.63% reported no problems in any of the five dimensions; the most frequently reported difficulty was pain/discomfort. The median utility score was 1.000 (0.869, 1.000). Participants with hypertension, and uncontrolled glycemic and blood lipids had lower HRQoL. In addition, sex, age, living environment, education level, household income, and medical insurance were influencing factors of HRQoL. Conclusion Sex, age, living environment, education level, household income, medical insurance, hypertension, and whether glycemic and blood lipids control or not are related to HRQoL of high CVD risk individuals.

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Background MicroRNA‐126 (miR‐126) has been investigated in autoimmune diseases and organ failures, whereas its implication in sepsis is rarely reported. Our study initially explored the value of miR‐126 in diagnosing sepsis and predicting disease severity, degree of inflammation, and mortality. Methods Totally, 208 sepsis patients and 210 healthy controls were enrolled; then, their plasma samples were collected for detecting circulating miR‐126 by quantitative polymerase chain reaction. For sepsis patients, their cytokine levels in plasma samples were detected by enzyme‐linked immunosorbent assay. Results miR‐126 was upregulated in sepsis patients compared with healthy controls, and it was of certain value in distinguishing sepsis patients from healthy controls (AUC: 0.726 (95% CI: 0.678‐0.774)). miR‐126 expression was positively correlated with acute physiology and chronic health evaluation II score, serum creatinine, and C‐reactive protein but not albumin or white blood cell count in sepsis patients. Regarding cytokines, miR‐126 was positively correlated with tumor necrosis factor‐α, interleukin (IL)‐6, and IL‐8, but negatively correlated with IL‐10 in sepsis patients. As for mortality, miR‐126 expression was higher in deaths compared with survivors, and ROC curve displayed that it could predict mortality of sepsis patients to some extent with AUC of 0.619 (95% CI: 0.533‐0.705). Conclusion miR‐126 potentially serves as an assistant diagnostic and prognostic biomarker for sepsis.