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Development of a Diabetic Foot Ulceration Prediction Model and Nomogram

Journal of Korean Academy of Nursing 2021³â 51±Ç 3È£ p.280 ~ 293
KMID : 0806120210510030280
ÀÌÀºÁÖ ( Lee Eun-Joo ) - Dong-Eui University College of Nursing

Á¤Àμ÷ ( Jeong Ihn-Sook ) - Pusan National University College of Nursing
¿ì½ÂÈÆ ( Woo Seung-Hun ) - Pusan National University Yangsan Hospital Department of Orthopedic Surgery
Á¤ÇõÀç ( Jung Hyuk-Jae ) - Pusan National University Hospital Department of Surgery
ÇÑÀºÁø ( Han Eun-Jin ) - Severance Hospital Division of Nursing
°­Ã¢¿Ï ( Kang Chang-Wan ) - Dong-Eui University IT Convergence College of Components and Materials Engineering
Çö¼ö°æ ( Hyun Soo-Kyung ) - Pusan National University College of Nursing

Abstract

Purpose: This study aimed to identify the risk factors for diabetic foot ulceration (DFU) to develop and evaluate the performance of a DFU prediction model and nomogram among people with diabetes mellitus (DM).

Methods: This unmatched case-control study was conducted with 379 adult patients (118 patients with DM and 261 controls) from four general hospitals in South Korea. Data were collected through a structured questionnaire, foot examination, and review of patients¡¯ electronic health records. Multiple logistic regression analysis was performed to build the DFU prediction model and nomogram. Further, their performance was analyzed using the Lemeshow-Hosmer test, concordance statistic (C-statistic), and sensitivity/specificity analyses in training and test samples.

Results: The prediction model was based on risk factors including previous foot ulcer or amputation, peripheral vascular disease, peripheral neuropathy, current smoking, and chronic kidney disease. The calibration of the DFU nomogram was appropriate (¥ö2 = 5.85, p = .321). The C-statistic of the DFU nomogram was .95 (95% confidence interval .93~.97) for both the training and test samples. For clinical usefulness, the sensitivity and specificity obtained were 88.5% and 85.7%, respectively at 110 points in the training sample. The performance of the nomogram was better in male patients or those having DM for more than 10 years.

Conclusion: The nomogram of the DFU prediction model shows good performance, and is thereby recommended for monitoring the risk of DFU and preventing the occurrence of DFU in people with DM.
KeyWords
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Diabetic Foot, Foot Ulcer, Logistic Models, Risk
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SCI(E) MEDLINE ÇмúÁøÈïÀç´Ü(KCI) KoreaMed