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논문분류	춘계학술대회 초록집
제목	Incidence and Risk factors of Acute Kidney Injury after Femur Fracture Surgery
저자	Youngju Na* and Sang-Kyung Jo, Won-Young Cho, Myung Gyu Kim, Sung Yoon Lim, Jihyun Yang
출판정보	2016; 2016(1):
키워드	Acute Kidney Injury, Femur Fracture Surgery
초록	Background: As the aging population increases, the number of patients with femur fractures caused by falling and traffic accidents is also increasing. It is known that mortality is high as well as the clinical course and prognosis are not good when acute kidney injury(AKI) is shown in the femur fracture patients. Nevertheless, there are not enough studies about AKI from the femur fracture patients. In this study, we want to show the correlation between the incidence and risk factors of AKI in patients with femoral fracture. Methods: We retrospectively evaluated the medical records of 311 patients who were operated on for femoral fracture at Korea University Anam Hospital between January 2012 and October 2015. We evaluated the Incidence and Risk factors of AKI after Femur Fracture surgery and compared between AKI and normal kidney function (NKF) groups. Results: The overall incidence of AKI was 9.2%. When compared to the normal kidney function (NKF) groups, the AKI group had a higher incidence of anemia (86.4% vs 51.6%, p = 0.001), hyponatremia (31.8% vs 13.4%, p = 0.021), ESR (45.5% vs 10.6%, p = 0.000), use of contrast agent (27.3% vs 6.9%, p = 0.001). In logistic regression analysis of risk factors, age (p = 0.049), lower estimated glomerular filtration rate levels (p = 0.05), contrast use(p = 0.04), diabetes mellitus (p = 0.002), heart failure (p = 0.012) were statistically significantly correlated with the development of AKI. Conclusion: AKI after femur fracture was associated with longer hospitalization, morbidity and mortality. It is recommended that close evaluation and monitoring is needed for patients who have the risk factor of AKI after operation for femur fracture to reduce the possibility of AKI. In the future, We need prospective studies including biomarkers.
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