Risk Factors for Death Among Veterans Following Acute Kidney Injury

被引:1
作者
Griffin, Benjamin R. [1 ,2 ,3 ]
Vaughan-Sarrazin, Mary [1 ,2 ]
Perencevich, Eli [1 ,2 ]
Yamada, Masaaki [1 ,2 ]
Swee, Melissa [1 ,2 ]
Sambharia, Meenakshi [1 ,2 ]
Girotra, Saket [1 ,2 ]
Reisinger, Heather S. [1 ,2 ]
Jalal, Diana [1 ,2 ]
机构
[1] Iowa VA Hlth Care Syst, Ctr Access Delivery & Res Evaluat CADRE Ctr, Iowa City, IA USA
[2] Univ Iowa, Carver Coll Med, Dept Med, Iowa City, IA USA
[3] Univ Iowa Hosp & Clin, Internal Med, 200 Hawkins Dr, Iowa City, IA 52242 USA
关键词
Acute kidney injury; Long-term mortality; Risk factors; HOSPITAL-DISCHARGE; MORTALITY; DISEASE; MODELS; CARE; CONSEQUENCES; BILIRUBIN; SURVIVAL; APACHE;
D O I
10.1016/j.amjmed.2023.01.006
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND: Acute kidney injury is prevalent among hospitalized veterans, and associated with increased risk of death following discharge. However, risk factors for death following acute kidney injury have not been well defined. We developed a mortality prediction model using Veterans Health Administra-tion data. METHODS: This retrospective cohort study included inpatients from 2013 through 2018 with a creatinine increase of >= 0.3 mg/dL. We evaluated 45 variables for inclusion in our final model, with a primary out-come of 1-year mortality. Bootstrap sampling with replacement was used to identify variables selected in >60% of models using stepwise selection. Best sub-sets regression using Akaike information criteria was used to identify the best-fitting parsimonious model. RESULTS: A total of 182,683 patients were included, and 38,940 (21.3%) died within 1 year of discharge. The 10-variable model to predict mortality included age, chronic lung disease, cancer within 5 years, unex-plained weight loss, dementia, congestive heart failure, hematocrit, blood urea nitrogen, bilirubin, and albumin. Notably, acute kidney injury stage, chronic kidney disease, discharge creatinine, and proteinuria were not selected for inclusion. C-statistics in the primary validation cohorts were 0.77 for the final parsi-monious model, compared with 0.52 for acute kidney injury stage alone. CONCLUSION: We identified risk factors for long-term mortality following acute kidney injury. Our 10-variable model did not include traditional renal variables, suggesting that non-kidney factors contribute to the risk of death more than measures of kidney disease in this population, a finding that may have impli-cations for post-acute kidney injury care. (c) 2023 Elsevier Inc. All rights reserved. center dot The American Journal of Medicine (2023) 136:449-457
引用
收藏
页码:449 / 457
页数:9
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