TY - JOUR
T1 - Frailty and early hospital readmission after kidney transplantation
AU - McAdams-Demarco, M. A.
AU - Law, A.
AU - Salter, M. L.
AU - Chow, E.
AU - Grams, M.
AU - Walston, J.
AU - Segev, D. L.
PY - 2013/8
Y1 - 2013/8
N2 - Early hospital readmission (EHR) after kidney transplantation (KT) is associated with increased morbidity and higher costs. Registry-based recipient, transplant and center-level predictors of EHR are limited, and novel predictors are needed. We hypothesized that frailty, a measure of physiologic reserve initially described and validated in geriatrics and recently associated with early KT outcomes, might serve as a novel, independent predictor of EHR in KT recipients of all ages. We measured frailty in 383 KT recipients at Johns Hopkins Hospital. EHR was ascertained from medical records as ≥1 hospitalization within 30 days of initial post-KT discharge. Frail KT recipients were much more likely to experience EHR (45.8% vs. 28.0%, p = 0.005), regardless of age. After adjusting for previously described registry-based risk factors, frailty independently predicted 61% higher risk of EHR (adjusted RR = 1.61, 95% CI: 1.18-2.19, p = 0.002). In addition, frailty improved EHR risk prediction by improving the area under the receiver operating characteristic curve (p = 0.01) as well as the net reclassification index (p = 0.04). Identifying frail KT recipients for targeted outpatient monitoring and intervention may reduce EHR rates. In a prospective longitudinal cohort study of kidney transplant recipients, the authors find that frailty was a strong predictor of hospital readmission within 30 days of transplantation, improving risk prediction above and beyond registry-based predictors.
AB - Early hospital readmission (EHR) after kidney transplantation (KT) is associated with increased morbidity and higher costs. Registry-based recipient, transplant and center-level predictors of EHR are limited, and novel predictors are needed. We hypothesized that frailty, a measure of physiologic reserve initially described and validated in geriatrics and recently associated with early KT outcomes, might serve as a novel, independent predictor of EHR in KT recipients of all ages. We measured frailty in 383 KT recipients at Johns Hopkins Hospital. EHR was ascertained from medical records as ≥1 hospitalization within 30 days of initial post-KT discharge. Frail KT recipients were much more likely to experience EHR (45.8% vs. 28.0%, p = 0.005), regardless of age. After adjusting for previously described registry-based risk factors, frailty independently predicted 61% higher risk of EHR (adjusted RR = 1.61, 95% CI: 1.18-2.19, p = 0.002). In addition, frailty improved EHR risk prediction by improving the area under the receiver operating characteristic curve (p = 0.01) as well as the net reclassification index (p = 0.04). Identifying frail KT recipients for targeted outpatient monitoring and intervention may reduce EHR rates. In a prospective longitudinal cohort study of kidney transplant recipients, the authors find that frailty was a strong predictor of hospital readmission within 30 days of transplantation, improving risk prediction above and beyond registry-based predictors.
KW - Frailty
KW - readmission
KW - transplantation
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U2 - 10.1111/ajt.12300
DO - 10.1111/ajt.12300
M3 - Article
C2 - 23731461
AN - SCOPUS:84881370501
SN - 1600-6135
VL - 13
SP - 2091
EP - 2095
JO - American Journal of Transplantation
JF - American Journal of Transplantation
IS - 8
ER -