Abstract
AbstractCurrent acute kidney injury (AKI) diagnostic criteria are restricted to the inpatient setting. We proposed a new AKI diagnostic algorithm for the outpatient setting and evaluate whether outpatient AKI (AKIOPT) modifies the disease course among patients with chronic kidney disease (CKD) enrolled in the national predialysis registry. AKIOPT was detected when a 50% increase in serum creatinine level or 35% decline in eGFR was observed in the 180-day period prior to enrollment in the predialysis care program. Outcomes were progression to end-stage renal disease (ESRD) and all-cause mortality. Association analyses were performed using multiple Cox regression and coarsened exact matching (CEM) analysis. Among 6,046 patients, 31.5% (1,905 patients) had developed AKIOPT within the 180-day period before enrollment. The adjusted hazard ratios of the 1-year and overall risk of ESRD among patients with preceding AKIOPT compared with those without AKIOPT were 2.61 (95% CI: 2.15–3.18) and 1.97 (1.72–2.26), respectively. For 1-year and overall risk of all-cause mortality, patients with AKIOPT had respectively a 141% (95% CI: 89–209%) and 84% (56–117%) higher risk than those without AKIOPT. This statistical inference remained robust in CEM analysis. We also discovered a complete reversal in the eGFR slope before and after the AKIOPT from −10.61 ± 0.32 to 0.25 ± 0.30 mL/min/1.73 m2 per year; however, the loss of kidney function is not recovered. The new AKIOPT diagnostic algorithm provides prognostic insight in patients with CKD.
Funder
Ministry of Science and Technology, Taiwan
China Medical University Hospital
Publisher
Springer Science and Business Media LLC
Cited by
7 articles.
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