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논문분류	춘계학술대회 초록집
제목	Qualitative analysis of bone and association with future fracture risk in chronic kidney disease patients
저자	Keunyoung Kim, Sang Heon Song
출판정보	2020; 2020(1):
키워드	Chronic kidney disease \| DXA \| Bone mineral density \| Trabecular bone score \| Hip geometry
초록	This study was designed to evaluate bone quality in predialytic chronic kidney disease (CKD) patients compared with healthy control using dual energy X-ray absorptiometry (DXA) and analyze the correlations between the DXA parameters and the fracture risk in both group. This retrospective study included 64 CKD patients (median 69 years; M : F, 33 : 31) and 91 healthy control (median 69 years, M : F, 43 : 38). The bone quality values were trabecular bone score (TBS) of lumbar spine (LS) and hip geometric parameters (hip axis length, strength index, section modulus, cross-sectional area [CSA] and cross-sectional moment of inertia [CSMI]) extracted from DXA images in addition to bone mineral density (BMD). The risks of major osteoporotic fracture (MOF) and hip fracture (HF) were assessed by Fracture Risk Assessment Tool (FRAX). The association between DXA parameters and FRAX results were analyzed with all subset-regression. As for LS, although BMD was not significantly different between two groups, TBS was significantly lower in CKD patients than control in both genders. Female CKD patients showed significant lower value of femur neck BMD, the section modulus and CSA. The male patient did not show significant difference in femur parameters. In female, the TBS adjusted probabilities of MOF (median, 9.100; interquartile ratio [IQR], 5.750 - 10.000; vs. 6.400; IQR, 4.750 - 8.400; P = 0.010) and HF (median, 2.800; IQR, 1.050 - 4.000; vs. 1.500; IQR, 0.600 - 2.800; P = 0.027) were significantly higher in CKD patients. In addition, section modulus, CSA and CSMI had the significant correlation with all FRAX results. The female CKD patients could be more susceptible for the osteoporotic fracture compared with control despite similar bone quantity. The prediction of future risk of fracture may be possible through a qualitative analysis of the bones especially in CKD patients.
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