당뇨병성 발궤양 위험분류체계의 타당도 검증
Validation of Risk Classification Systems for Diabetic Foot Ulcer Occurrence
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Purpose: The aim of this study was to validate the predictive accuracy of three international risk classification systems for diabetic foot ulcer occurrence. Methods: A secondary data analysis was conducted. The data were collected from a case-control study that recruited 367 patients with Type 2 diabetes (118 with existing foot ulcers and 261 without foot ulcers). The risk of foot ulcer occurrence was classified in accordance with the American Diabetes Association (ADA), the International Working Group on the Diabetic Foot (IWGDF), and the Scottish Intercollegiate Guidelines Network (SIGN) risk classification systems. The predictive validity of the classification systems was calculated to evaluate the systems’ performance. Results: The ADA, IWGDF, and SIGN systems had area under the receiver operating curve (AUC) with values of .91, .90, and .80, respectively, and the predictive accuracy of each classification system was 73.4~84.7% for ADA, 74.4~85.5% for IWGDF, and 49.6~73.9% for SIGN, depending on the cut-off points. Conclusion: All of the three classification systems showed good predictive accuracy. Further studies are needed to select one that is most accurate and cost-effectiv
Abstract
Purpose: The aim of this study was to validate the predictive accuracy of three international risk classification systems for diabetic foot ulcer occurrence. Methods: A secondary data analysis was conducted. The data were collected from a case-control study that recruited 367 patients with Type 2 diabetes (118 with existing foot ulcers and 261 without foot ulcers). The risk of foot ulcer occurrence was classified in accordance with the American Diabetes Association (ADA), the International Working Group on the Diabetic Foot (IWGDF), and the Scottish Intercollegiate Guidelines Network (SIGN) risk classification systems. The predictive validity of the classification systems was calculated to evaluate the systems’ performance. Results: The ADA, IWGDF, and SIGN systems had area under the receiver operating curve (AUC) with values of .91, .90, and .80, respectively, and the predictive accuracy of each classification system was 73.4~84.7% for ADA, 74.4~85.5% for IWGDF, and 49.6~73.9% for SIGN, depending on the cut-off points. Conclusion: All of the three classification systems showed good predictive accuracy. Further studies are needed to select one that is most accurate and cost-effectiv
참고문헌 (28)
- "IWGDF definitions and criteria for diabetic foot disease" (2019)[URL]
- Pengzi Zhang, "Global epidemiology of diabetic foot ulceration: a systematic review and meta-analysis", Annals of Medicine, 49(2), pp.106~116 (2017), Informa UK Limited[DOI]
- L. Prompers, "High prevalence of ischaemia, infection and serious comorbidity in patients with diabetic foot disease in Europe. Baseline results from the Eurodiale study", Diabetologia, 50(1), pp.18~25 (2007), Springer Science and Business Media LLC[DOI]
- Andrew JM Boulton, "The global burden of diabetic foot disease", The Lancet, 366(9498), pp.1719~1724 (2005), Elsevier BV[DOI]
- Julie R. Ingelfinger, "Diabetic Foot Ulcers and Their Recurrence", New England Journal of Medicine, 376(24), pp.2367~2375 (2017), Massachusetts Medical Society[DOI]
- "IDF Diabetes atlas" (2017)[URL]
- A. J.M. Boulton, "Comprehensive Foot Examination and Risk Assessment: A report of the Task Force of the Foot Care Interest Group of the American Diabetes Association, with endorsement by the American Association of Clinical Endocrinologists", Diabetes Care, 31(8), pp.1679~1685 (2008), American Diabetes Association[DOI]
- "Management of diabetes: a national clinical guideline" (2010)[URL]
- Lawrence A. Lavery, "Practical Criteria for Screening Patients at High Risk for Diabetic Foot Ulceration", Archives of Internal Medicine, 158(2), pp.157~ (1998), American Medical Association (AMA)[DOI]
- E. J. Boyko, "Prediction of Diabetic Foot Ulcer Occurrence Using Commonly Available Clinical Information: The Seattle Diabetic Foot Study", Diabetes Care, 29(6), pp.1202~1207 (2006), American Diabetes Association[DOI]
- M. Monteiro-Soares, "Risk stratification systems for diabetic foot ulcers: a systematic review", Diabetologia, 54(5), pp.1190~1199 (2011), Springer Science and Business Media LLC[DOI]
- M Monteiro-Soares, "Validation and comparison of currently available stratification systems for patients with diabetes by risk of foot ulcer development", European Journal of Endocrinology, 167(3), pp.401~407 (2012), Bioscientifica[DOI]
- Fay Crawford, "A systematic review and individual patient data meta-analysis of prognostic factors for foot ulceration in people with diabetes: the international research collaboration for the prediction of diabetic foot ulcerations (PODUS)", Health Technology Assessment, 19(57), pp.1~210 (2015), National Institute for Health Research[DOI]
- M. Monteiro-Soares, "Diabetic foot ulcer development risk classifications’ validation: A multicentre prospective cohort study", Diabetes Research and Clinical Practice, 127, pp.105~114 (2017), Elsevier BV[DOI]
- "2019 Treatment guideline for diabetes" (2019)[URL]
- 박이병, "Diabetes Epidemics in Korea: Reappraise Nationwide Survey of Diabetes “Diabetes in Korea 2007”", Diabetes and Metabolism Journal, 37(4), pp.233~239 (2013), 대한당뇨병학회[DOI]
- Lee EJ, "Development of predictive models for diabetic foot ulceration", pp.2018
- "OpenEpi: Open source epidemiologic statistics for public health (Ver. 3.01)" (2013)[URL]
- Baba M, "A longitudinal study of foot ulceration and its risk factors in community-based patients with type 2 diabetes : the Fremantle Diabetes Study", Diabetes Research and Clinical Practice, 106(1), pp.42~49 (2014)
- Gordis L, "Epidemiology", pp.1~375 (2013), Elsevier Saunders
- Dobbin KK, "Optimally splitting cases for training and testing high dimensional classifiers", BMC Medical Genomics, 4(1), pp.31~38 (2011)[DOI]
- "2018 Clinical guidelines of treatment of obesity in adults" (2018)[URL]
- Hurley L, "A prospective study of risk factors for foot ulceration : the West of Ireland Diabetes Foot Study", QJM : An International Journal of Medicine, 106(12), pp.1103~1110 (2013)[DOI]
- "Korea health statistics 2015: Korea National Health and Nutrition Examination Survey (KNHANES VI-3)" (2016)[URL]
- "Type 2 diabetes in adults: management" (2015)[URL]
- R. Gary Sibbald, "Screening for the High-Risk Diabetic Foot", Advances in Skin & Wound Care, 25(10), pp.465~476 (2012), Ovid Technologies (Wolters Kluwer Health)[DOI]
- "Assessment and management of foot ulcers for people with diabetes (2nd ed.)" (2013)[URL]
- S. A. Bus, "IWGDF guidance on the prevention of foot ulcers in at-risk patients with diabetes", Diabetes, 2016, pp.32(S1), 16~24[DOI]