Liu Jie, Zhang Nan, Liu Tong
Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China.
World J Diabetes. 2025 Jul 15;16(7):107501. doi: 10.4239/wjd.v16.i7.107501.
The prevalence of type 2 diabetes mellitus (T2DM) is rising, with hypertension as a common comorbidity that significantly increases cardiovascular and microvascular risks. Accurate prediction of hypertension in T2DM is essential for early intervention and personalized management. In this editorial, we comment on a recent retrospective study by Zhao , which developed a nomogram model using a large cohort of 26850 patients to predict hypertension risk in patients with T2DM. The model incorporated key independent risk factors, including age, body mass index, duration of diabetes, low-density lipoprotein cholesterol and urine protein levels, demonstrating promising discriminative power and predictive accuracy in internal validation. However, its external applicability requires further confirmation. This editorial discusses the clinical value and limitations of the predictive model, highlighting the unfavorable impact of hypertension on T2DM patients. Future research should evaluate the potential contribution of other risk factors to enhance risk prediction and improve the management of T2DM comorbidities.
2型糖尿病（T2DM）的患病率正在上升，高血压是一种常见的合并症，会显著增加心血管和微血管风险。准确预测T2DM患者的高血压情况对于早期干预和个性化管理至关重要。在这篇社论中，我们对赵等人最近的一项回顾性研究进行评论，该研究使用26850名患者的大型队列开发了一种列线图模型，以预测T2DM患者的高血压风险。该模型纳入了关键的独立危险因素，包括年龄、体重指数、糖尿病病程、低密度脂蛋白胆固醇和尿蛋白水平，在内部验证中显示出有前景的鉴别能力和预测准确性。然而，其外部适用性需要进一步证实。这篇社论讨论了该预测模型的临床价值和局限性，强调了高血压对T2DM患者的不利影响。未来的研究应评估其他危险因素的潜在贡献，以加强风险预测并改善T2DM合并症的管理。
