Haryanto Haryanto, Amrullah Syahid, Jais Suriadi, Supriadi Supriadi, Imran Imran, Sari Yunita
Department of Medical Surgical, Wound Management and Critical Nursing, Institut Teknologi dan Kesehatan Muhammadiyah, Kalimantan Barat, Pontianak, Indonesia.
Department of Nursing, Faculty of Health Sciences, Universitas Jenderal Soedirman, Purwokerto, Indonesia.
J Med Life. 2023 Oct;16(10):1514-1518. doi: 10.25122/jml-2023-0058.
This study aimed to evaluate diabetic foot ulcer recurrence using the Indonesia Diabetic Foot Ulcer Recurrence Assessment Tool (INDIFURUTO), a new diabetic foot risk recurrence assessment tool. This study used a prospective cohort design. A total of thirty-three participants met the inclusion criteria. We used sensitivity, specificity values, AUC, and, respectively, a 95% confidence interval (CI) to calculate prognostic accuracy measures. The results showed that this study had an AUC of 0,97 [95% confidence interval (CI) 0.91-1.00]. The cut-off point (Youden Index) was <45, with sensitivity and specificity values of 100% and 90%, respectively. The utilization of this model can facilitate the monitoring and enhancement of foot ulcer recurrence prevention in individuals diagnosed with diabetes. This study showed that the new model had a high prediction. Therefore, this model better stratifies people at high risk of foot ulceration.
本研究旨在使用印度尼西亚糖尿病足溃疡复发评估工具(INDIFURUTO)评估糖尿病足溃疡复发情况,这是一种新的糖尿病足风险复发评估工具。本研究采用前瞻性队列设计。共有33名参与者符合纳入标准。我们分别使用灵敏度、特异度值、AUC和95%置信区间(CI)来计算预后准确性指标。结果显示,本研究的AUC为0.97[95%置信区间(CI)0.91 - 1.00]。截断点(约登指数)<45,灵敏度和特异度值分别为100%和90%。该模型的应用有助于监测和加强对糖尿病患者足部溃疡复发预防的管理。本研究表明,新模型具有较高的预测性。因此,该模型能更好地对足部溃疡高风险人群进行分层。