Noninvasive indices for predicting nonalcoholic fatty liver disease in patients with chronic kidney disease
- 주제(키워드) Chronic kidney disease , Nonalcoholic fatty liver disease , Noninvasive markers , Prediction model
- 주제(기타) Urology & Nephrology
- 설명문(일반) [Choe, A. Reum; Kim, Hwi Young; Lim, Jiyoung; Kim, Tae Hun; Yoo, Kwon] Ewha Womans Univ, Div Gastroenterol & Hepatol, Coll Med, Dept Internal Med, Seoul, South Korea; [Ryu, Dong-Ryeol] Ewha Womans Univ, Coll Med, Dept Internal Med, Div Nephrol, Seoul, South Korea; [Lee, Hye Ah] Ewha Womans Univ, Clin Trial Ctr, Mokdong Hosp, Seoul, South Korea; [Kim, Jin Sil; Lee, Jeong Kyong] Ewha Womans Univ, Coll Med, Dept Radiol, Seoul, South Korea
- 등재 SCIE, SCOPUS
- OA유형 Green Published, gold
- 발행기관 BMC
- 발행년도 2020
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000169265
- 본문언어 영어
- Published As https://dx.doi.org/10.1186/s12882-020-01718-8
- PubMed https://pubmed.ncbi.nlm.nih.gov/32066395
초록/요약
Background Data on clinical characteristics of nonalcoholic fatty liver disease (NAFLD) in patients with chronic kidney disease (CKD) are scarce. We investigated the clinical features and risk factors of NAFLD using noninvasive serum markers in CKD patients and attempted the temporal validation of a predictive model for CKD based on NAFLD. Methods This retrospective cross-sectional study was conducted in a single tertiary center. We enrolled 819 CKD patients and evaluated the predictive performance of relevant clinical and laboratory markers for the presence of NAFLD in both derivation (data from 2011 to 2014, n = 567) and validation (data from 2015 to 2016, n = 252) groups. Results In the derivation group, NAFLD was observed in 89 patients (15.7%; mean body mass index (BMI), 24.6 kg/m(2); median estimated glomerular filtration rate (eGFR), 28.0 ml/min). BMI, hemoglobin, serum alanine aminotransferase, eGFR, and triglyceride-glucose index were used to derive a prediction model for the presence of NAFLD. Using the cutoff value of 0.146, the area under the receiver operating characteristic curve (AUROC) for the prediction of NAFLD was 0.850. In the validation group, NAFLD was observed in 51 patients (20.2%; mean BMI, 25.4 kg/m(2); median eGFR, 36.0 ml/min). Using the same prediction model and cutoff value, the AUROC was 0.842. NAFLD prevalence in CKD patients was comparable to that in the general population, increasing over time. Conclusions Our model using BMI, renal function, triglyceride-glucose index, serum alanine aminotransferase, and hemoglobin accurately predicted the presence of NAFLD in CKD patients.
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