Hip Fracture in Patients With Non-Dialysis-Requiring Chronic Kidney Disease

Citations Over TimeTop 1% of 2016 papers

Abstract

Patients with end-stage renal disease (ESRD) are at a high risk for hip fracture. Little is known about the risk for, and consequences of, hip fracture among patients with non-dialysis-requiring chronic kidney disease (CKD). We examined the incidence of hip fracture, in-hospital mortality, length of stay, and costs among patients with ESRD, non-dialysis-requiring CKD, and normal or near normal kidney function. Using the Healthcare Cost and Utilization Project's Nationwide Inpatient Sample, a nationally representative database, we identified hospitalizations for hip fracture in 2010. We incorporated data from the United States Renal Data System (USRDS) and the US census to calculate population-specific rates. Age-standardized incidence of hip fracture was highest among patients with ESRD (3.89/1000 person-years), followed by non-dialysis-requiring CKD (1.81/1000 persons) and patients with normal or near normal kidney function (1.18/1000 persons). In-hospital mo rtality (odds ratio [OR] = 1.69, 95% confidence interval [CI] 1.46 to 1.96), lengths of stay (median [10th, 90th percentiles] 5 [3 to 11] versus 5 [3 to 10] days) and costs (median $14,807 versus $13,314) were significantly higher in patients with non-dialysis-requiring CKD relative to patients with normal or near normal kidney function. In summary, non-dialysis-requiring CKD is associated with higher age-standardized rates of hip fracture and post-hip fracture mortality and higher resource utilization. © 2016 American Society for Bone and Mineral Research.

Related Papers

• → Co-trimoxazole, creatinine and renal function(1980)36 cited
• → Validity of rapid estimation of glomerular filtration rate in type 2 diabetic patients with normal renal function(1999)26 cited
• → Evaluation of renal function in cirrhosis: Overestimation of glomerular filtration rate by creatinine clearance(1991)
• Serum creatinine measurement and glomerular filtration rate estimation(2007)
• → Validity of current equations to estimated glomerular filtration rate in geriatric population(2019)