Evaluation of the Steno Type 1 Risk Engine in predicting cardiovascular events in an ethnic mixed population of type 1 diabetes mellitus and its association with chronic microangiopathy complications.

IF 8.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiovascular Diabetology Pub Date : 2024-10-22 DOI:10.1186/s12933-024-02460-3
Isabella Cristina Paliares, Patrícia Medici Dualib, Laísa Stephane Noronha Torres, Priscila Maria Teixeira Aroucha, Bianca de Almeida-Pititto, Joao Roberto de Sa, Sérgio Atala Dib
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Abstract

Background: The Steno Type 1 Risk Engine (ST1RE) was developed to aid clinical decisions in primary prevention for individuals with type 1 diabetes (T1D), as existing cardiovascular (CV) risk models for the general population and type 2 diabetes tend to underestimate CV risk in T1D. However, the applicability of ST1RE in different populations remains uncertain, as prediction models developed for one population may not accurately estimate risk in another. This study aimed to evaluate the performance of the ST1RE in predicting CV events among ethnically mixed T1D individuals and its association with the progression of microangiopathy complications.

Methods: A retrospective survey of 435 adults with T1D who were free of CV events at baseline was assessed by ST1RE and chronic diabetes complications at 5 and 10 years of follow-up. The estimated CV risk rates were compared with the observed rates at 5 and 10 years using statistical analyses, including Receiver Operating Characteristic (ROC) curve analysis, Hosmer-Lemeshow test, Kaplan-Meier curves analysis and Cox-regression models.

Results: Among 435 patients (aged 25 years; interquartile range [IQR]: 21-32) with a median T1D duration of 13 years (IQR: 9-18), only 5% were categorized into the high ST1RE group. Within a median follow-up of 9.2 years (IQR 6.0-10.7), 5.5% of patients experienced a CV event (1.6%, 14.9%, and 50% from the low, moderate, and high-risk groups, respectively). The hazard ratios (HRs) for CV events were greater in the high-risk group (HR 52.02; 95% CI 18.60-145.51, p < 0.001) and in the moderate-risk group (HR 8.66; 95% CI 2.90-25.80, p < 0.001) compared to the low-risk group. The ST1RE estimated CV events were similar to the observed at 5 years (3.4% vs. 3.5%; χ2 = 10.12, p = 0.899) and 10 years (6.8% vs. 9.9%; χ2 = 14.80, p = 0.676) of follow-up. The progression of microangiopathies was greater in the high vs. low for retinopathy (p = 0.008), diabetic kidney disease (p < 0.001), peripheral neuropathy (p = 0.021), and autonomic neuropathy (p = 0.008).

Conclusions: ST1RE performed well in predicting CV events at 5 and 10 years of follow-up. Moreover, higher ST1RE scores were associated with the progression of microangiopathy complications in this genetically heterogeneous T1D population.

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评估 Steno 1 型风险引擎在 1 型糖尿病混血人群中预测心血管事件的能力及其与慢性微血管病变并发症的关联。
背景:现有的针对普通人群和 2 型糖尿病的心血管 (CV) 风险模型往往会低估 1 型糖尿病患者的 CV 风险,因此开发了 Steno 1 型糖尿病风险引擎 (ST1RE) 来帮助 1 型糖尿病 (T1D) 患者在一级预防方面做出临床决策。然而,ST1RE 在不同人群中的适用性仍不确定,因为针对某一人群开发的预测模型可能无法准确估计另一人群的风险。本研究旨在评估 ST1RE 在预测种族混杂的 T1D 患者的心血管事件方面的性能及其与微血管病变并发症进展的关系:对基线时未发生心血管事件的 435 名 T1D 成人进行回顾性调查,通过 ST1RE 和随访 5 年和 10 年的慢性糖尿病并发症进行评估。通过统计分析,包括接收者操作特征曲线(ROC)分析、Hosmer-Lemeshow 检验、Kaplan-Meier 曲线分析和 Cox 回归模型,将估计的 CV 风险率与 5 年和 10 年的观察率进行比较:在中位 T1D 病程为 13 年(IQR:9-18)的 435 名患者(年龄为 25 岁;四分位数间距 [IQR]:21-32)中,只有 5%的患者被归入高 ST1RE 组。在中位随访 9.2 年(IQR:6.0-10.7)期间,5.5% 的患者发生了 CV 事件(低、中、高风险组分别为 1.6%、14.9% 和 50%)。在高风险组(HR 52.02;95% CI 18.60-145.51,P 2 = 10.12,P = 0.899)和随访 10 年(6.8% 对 9.9%;χ2 = 14.80,P = 0.676)中,发生 CV 事件的危险比(HRs)更高。在视网膜病变(P = 0.008)、糖尿病肾病(P = 0.008)和糖尿病肾病(P = 0.008)方面,微血管病变的进展在高分辨率组与低分辨率组之间更大:ST1RE 在预测随访 5 年和 10 年的冠心病事件方面表现良好。此外,在这一基因异质性的 T1D 群体中,ST1RE 分数越高,微血管病变并发症的进展越快。
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来源期刊
Cardiovascular Diabetology
Cardiovascular Diabetology 医学-内分泌学与代谢
CiteScore
12.30
自引率
15.10%
发文量
240
审稿时长
1 months
期刊介绍: Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.
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