医学
四分位数
内科学
危险系数
比例危险模型
动脉硬化
糖尿病
脉冲波速
队列
2型糖尿病
人口
前瞻性队列研究
队列研究
血压
心脏病学
置信区间
内分泌学
环境卫生
作者
Anna Solini,Emanuela Orsi,Martina Vitale,Monia Garofolo,Veronica Resi,Enzo Bonora,Salvatore De Cosmo,Roberto Trevisan,Monica Vedovato,Antonio Nicolucci,Giuseppe Penno,Giuseppe Pugliese
标识
DOI:10.1093/qjmed/hcae012
摘要
Abstract Background Estimated pulse-wave velocity (ePWV), a surrogate measure of arterial stiffness, was shown to independently predict morbidity and mortality from cardiovascular disease and other causes in both the general population and high-risk individuals. However, in people with type 2 diabetes, it is unknown whether ePWV adds prognostic information beyond the parameters used for calculating it. Aims To assess the independent association of ePWV with all-cause mortality in individuals with type 2 diabetes. Design Prospective cohort study that enrolled 15 773 patients in 19 Italian centres in 2006–08. Methods ePWV was calculated from a regression equation using age and mean blood pressure (BP). All-cause mortality was retrieved for 15 656 patients in 2015. Results Percentage and rate of deaths, Kaplan–Meier estimates and unadjusted hazard ratios increased from Quartile I to Quartile IV of ePWV. After adjustment for age, sex, BP levels and anti-hypertensive treatment, the strength of association decreased but mortality risk remained significantly higher for Quartiles II (+34%), III (+82%) and IV (+181%) vs. Quartile I and was virtually unchanged when further adjusting for other cardiovascular risk factors and complications/comorbidities. Each m·s− 1 increase in ePWV was associated with an increased adjusted risk of death in the whole cohort (+53%) and in participants with (+52%) and without (+65%) cardiorenal complications. Moreover, ePWV significantly improved prediction of mortality risk over cardiovascular risk factors and complications/comorbidities, though the net increase was modest. Conclusions These findings suggest that ePWV may represent a simple and inexpensive tool for providing prognostic information beyond traditional cardiovascular risk factors. Trial registration ClinicalTrials.gov, NCT00715481, https://clinicaltrials.gov/ct2/show/NCT00715481.
科研通智能强力驱动
Strongly Powered by AbleSci AI