Assessment of QRISK3 as a predictor of cardiovascular disease events in type 2 diabetes mellitus.
Assessment of QRISK3 as a predictor of cardiovascular disease events in type 2 diabetes mellitus.
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DOI：
10.3389/fendo.2022.1077632
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发表时间：
2022
影响因子：
5.2
通讯作者：
Yang, Min
中科院分区：
文献类型：
--
作者：
Mu, Xiaodie;Wu, Aihua;Hu, Huiyue;Zhou, Hua;Yang, Min
关键词：
糖尿病(DM)患者患心血管疾病(CVD)的风险是普通人群的两到三倍。我们在T2 DM患者中设计了一项为期10年的队列试验，以探索QResearch Risk Estiator Version 3(QRISK3)作为心血管疾病风险评估工具的性能，并与Framingham Risk Score(FRS)进行比较。这是一项对566名新诊断的2型糖尿病(T2 DM)患者收集的前瞻性数据的单中心分析。比较有无心血管疾病患者的风险评分与心血管疾病发展的关系。采用单因素分析和多因素COX回归分析，确定心血管疾病的危险变量。两种工具的低风险(10%)、中风险(10%-20%)和高风险(>；20%)患者的数量被识别和比较，以及它们的敏感度、特异度、阳性和阴性预测值以及一致性(C)统计分析。在我们队列中确认的566名患者中，有138例(24.4%)发生了心血管疾病。QRISK3将大多数CVD患者列为高危患者，91例(65.9%)患者。QRISK3对分界值10%的敏感性高达91.3%，而对分界值20%的特异度高达90.7%。以10%为界值时，FRS的特异度为89.1%，而以20%为界值时，FRS的敏感性为80.1%。无论采用何种切分方法，QRISK3的C统计量均高于FRS。QRISK3全面准确地预测T2 DM患者发生心血管事件的风险，优于FRS。未来，我们需要进行一项大规模的T2 DM队列研究，以进一步验证QRISK3预测心血管事件的能力。
The risk of cardiovascular disease (CVD) in diabetes mellitus (DM) patients is two- to three-fold higher than in the general population. We designed a 10-year cohort trial in T2DM patients to explore the performance of QRESEARCH risk estimator version 3 (QRISK3) as a CVD risk assessment tool and compared to Framingham Risk Score (FRS). This is a single-center analysis of prospective data collected from 566 newly-diagnosed patients with type 2 DM (T2DM). The risk scores were compared to CVD development in patients with and without CVD. The risk variables of CVD were identified using univariate analysis and multivariate cox regression analysis. The number of patients classified as low risk (<10%), intermediate risk (10%-20%), and high risk (>20%) for two tools were identified and compared, as well as their sensitivity, specificity, positive and negative predictive values, and consistency (C) statistics analysis. Among the 566 individuals identified in our cohort, there were 138 (24.4%) CVD episodes. QRISK3 classified most CVD patients as high risk, with 91 (65.9%) patients. QRISK3 had a high sensitivity of 91.3% on a 10% cut-off dichotomy, but a higher specificity of 90.7% on a 20% cut-off dichotomy. With a 10% cut-off dichotomy, FRS had a higher specificity of 89.1%, but a higher sensitivity of 80.1% on a 20% cut-off dichotomy. Regardless of the cut-off dichotomy approach, the C-statistics of QRISK3 were higher than those of FRS. QRISK3 comprehensively and accurately predicted the risk of CVD events in T2DM patients, superior to FRS. In the future, we need to conduct a large-scale T2DM cohort study to verify further the ability of QRISK3 to predict CVD events.
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影响因子：
8.2
作者：
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通讯作者：
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DOI：
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通讯作者：
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