Suppr超能文献

使用 94946 名以色列 2 型糖尿病患者的数据验证 UKPDS 结局模型 2。

Validating the UK prospective diabetes study outcome model 2 using data of 94,946 Israeli patients with type 2 diabetes.

机构信息

Merck & Co., Inc., Kenilworth, NJ, USA.

Maccabitech, Maccabi Institute for Research and Innovation, Maccabi Healthcare Services, Tel-Aviv, Israel.

出版信息

J Diabetes Complications. 2022 Jan;36(1):108086. doi: 10.1016/j.jdiacomp.2021.108086. Epub 2021 Nov 14.

Abstract

AIMS

To externally validate the United Kingdom Prospective Diabetes Study (UKPDS) Outcome Model 2 (OM2) in contemporary Israeli patient populations.

METHODS

De-identified patient data on demographics, time-varying risk factors, and clinical events of newly diagnosed type 2 diabetes patients were extracted from the Maccabi Healthcare Services (MHS) diabetes registry over years 2000-2013. Depending on the baseline risk, patients were categorized into low-risk and intermediate-risk groups. In addition to assessing discriminatory performance, the predicted and observed 15-year cumulative incidences of diabetes complications and death were compared among all patients and for the two risk-groups.

RESULTS

The discriminatory capability of OM2 was moderate to good, C-statistic ranging 0.71-0.95. The model overpredicted the risk for MI, blindness and death (Predicted/Observed events (P/O: 1.32-2.31)), and underpredicted the risk of IHD (P/O: 0.5). In patients with a low baseline risk, overpredictions were even more pronounced. OM2 performed well in predicting renal failure and ulcer risk in patients with a low risk but predicted well the risk of death, stroke, CHF, and amputation in patients with an intermediate risk.

CONCLUSION

OM2 demonstrated good to moderate discrimination capability for predicting diabetes complications and mortality risks in Israeli diabetes population. The prediction performance differed between patients with different baseline risks.

摘要

目的

在当代以色列患者人群中对英国前瞻性糖尿病研究(UKPDS)结局模型 2(OM2)进行外部验证。

方法

从 2000 年至 2013 年的 Maccabi 医疗保健服务(MHS)糖尿病登记处提取新诊断 2 型糖尿病患者的人口统计学、随时间变化的风险因素和临床事件的匿名患者数据。根据基线风险,患者分为低风险组和中风险组。除了评估判别性能外,还比较了所有患者和两个风险组之间预测和观察到的 15 年糖尿病并发症和死亡的累积发生率。

结果

OM2 的判别能力为中度至良好,C 统计量范围为 0.71-0.95。该模型对 MI、失明和死亡的风险过高预测(预测/观察事件(P/O:1.32-2.31)),而对 IHD 的风险预测过低(P/O:0.5)。在基线风险较低的患者中,过高预测更为明显。OM2 在预测低风险患者的肾功能衰竭和溃疡风险方面表现良好,但在预测中风险患者的死亡、中风、心力衰竭和截肢风险方面表现良好。

结论

OM2 在预测以色列糖尿病患者的糖尿病并发症和死亡风险方面表现出良好至中度的判别能力。预测性能在不同基线风险的患者之间存在差异。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验