지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.8
- 수록면
- 823 - 834 (12page)
- DOI
- https://doi.org/10.3803/EnM.2021.1074
이용수
초록· 키워드
오류제보하기
Background: Nonalcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic liver disease worldwide. Type 2 diabetes mellitus (T2DM) is a risk factor that accelerates NAFLD progression, leading to fibrosis and cirrhosis. Thus, here we aimed todevelop a simple model to predict the presence of NAFLD based on clinical parameters of patients with T2DM.
Methods: A total of 698 patients with T2DM who visited five medical centers were included. NAFLD was evaluated using transientelastography. Univariate logistic regression analyses were performed to identify potential contributors to NAFLD, followed by multivariable logistic regression analyses to create the final prediction model for NAFLD.
Results: Two NAFLD prediction models were developed, with and without serum biomarker use. The non-laboratory model comprised six variables: age, sex, waist circumference, body mass index (BMI), dyslipidemia, and smoking status. For a cutoff value of≥60, the prediction accuracy was 0.780 (95% confidence interval [CI], 0.743 to 0.817). The second comprehensive model showedan improved discrimination ability of up to 0.815 (95% CI, 0.782 to 0.847) and comprised seven variables: age, sex, waist circumference, BMI, glycated hemoglobin, triglyceride, and alanine aminotransferase to aspartate aminotransferase ratio. Our non-laboratory model showed non-inferiority in the prediction of NAFLD versus previously established models, including serum parameters.
Conclusion: The new models are simple and user-friendly screening methods that can identify individuals with T2DM who are at high-risk for NAFLD. Additional studies are warranted to validate these new models as useful predictive tools for NAFLD in clinical practice.
목차
등록된 정보가 없습니다.
참고문헌 (10)
참고문헌 신청
이용호 / 2019 / Nonalcoholic Fatty Liver Disease in Diabetes. Part I: Epidemiology and Diagnosis / Diabetes and Metabolism Journal 43(1):31~45
이정인 / 2016 / The Relationship between 10-Year Cardiovascular Risk Calculated Using the Pooled Cohort Equation and the Severity of Non-Alcoholic Fatty Liver Disease / Endocrinology and Metabolism 31(1):86~92
이대호 / 2020 / Noninvasive Evaluation of Nonalcoholic Fatty Liver Disease / Endocrinology and Metabolism 35(2):243~259
김미경 / 2019 / 2019 Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea / Diabetes and Metabolism Journal 43(4):398~406
de Ledinghen V / 2008 / Transient elastography(FibroScan) / Gastroenterol Clin Biol 32(6 Suppl 1):58~67
이정인 / 2016 / The Relationship between 10-Year Cardiovascular Risk Calculated Using the Pooled Cohort Equation and the Severity of Non-Alcoholic Fatty Liver Disease / Endocrinology and Metabolism 31(1):86~92
이대호 / 2020 / Noninvasive Evaluation of Nonalcoholic Fatty Liver Disease / Endocrinology and Metabolism 35(2):243~259
김미경 / 2019 / 2019 Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea / Diabetes and Metabolism Journal 43(4):398~406
de Ledinghen V / 2008 / Transient elastography(FibroScan) / Gastroenterol Clin Biol 32(6 Suppl 1):58~67
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