Lam Teresa, Burns Kharis, Dennis Mark, Cheung N Wah, Gunton Jenny E
Teresa Lam, Kharis Burns, N Wah Cheung, Jenny E Gunton, Department of Diabetes and Endocrinology, Westmead Hospital, Sydney 2145, Australia.
World J Diabetes. 2015 May 15;6(4):634-41. doi: 10.4239/wjd.v6.i4.634.
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality among patients with diabetes mellitus, who have a risk of cardiovascular mortality two to four times that of people without diabetes. An individualised approach to cardiovascular risk estimation and management is needed. Over the past decades, many risk scores have been developed to predict CVD. However, few have been externally validated in a diabetic population and limited studies have examined the impact of applying a prediction model in clinical practice. Currently, guidelines are focused on testing for CVD in symptomatic patients. Atypical symptoms or silent ischemia are more common in the diabetic population, and with additional markers of vascular disease such as erectile dysfunction and autonomic neuropathy, these guidelines can be difficult to interpret. We propose an algorithm incorporating cardiovascular risk scores in combination with typical and atypical signs and symptoms to alert clinicians to consider further investigation with provocative testing. The modalities for investigation of CVD are discussed.
心血管疾病(CVD)是糖尿病患者发病和死亡的主要原因,糖尿病患者心血管死亡风险是无糖尿病者的两到四倍。需要采用个体化方法进行心血管风险评估和管理。在过去几十年里,已经开发了许多风险评分来预测心血管疾病。然而,很少有在糖尿病患者群体中进行外部验证的,并且仅有有限的研究考察了在临床实践中应用预测模型的影响。目前,指南侧重于对有症状患者进行心血管疾病检测。非典型症状或无症状性缺血在糖尿病患者群体中更为常见,并且伴有诸如勃起功能障碍和自主神经病变等血管疾病的附加标志物,这些指南可能难以解读。我们提出一种算法,将心血管风险评分与典型和非典型体征及症状相结合,以提醒临床医生考虑通过激发试验进行进一步检查。本文还讨论了心血管疾病的检查方式。