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Authors Li Q, Zhao M, Wang X
Received 17 January 2018
Accepted for publication 22 March 2018
Published 20 June 2018 Volume 2018:13 Pages 1151—1160
DOI https://doi.org/10.2147/CIA.S162899
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Andrew Yee
Peer reviewer comments 2
Editor who approved publication: Dr Wu
Objectives: To compare the differences between the Kidney Disease Improving
Global Outcomes (KDIGO) criteria of the 48-hour window and the 7-day window in
the diagnosis of acute kidney injury (AKI) in very elderly patients, as well as
the relationship between the 48-hour and 7-day windows for diagnosis and 90-day
mortality.
Patients and
methods: We retrospectively enrolled very
elderly patients (≥75 years old) from the geriatrics department of the Chinese
PLA General Hospital between January 2007 and December 2015. AKI patients were
divided into 48-hour and 7-day groups by their diagnosis criteria. AKI patients
were divided into survivor and nonsurvivor groups by their outcomes within 90 days
after diagnosis of AKI.
Results: In total, 652 patients were included in the final analysis. The
median age of the cohort was 87 (84–91) years, the majority (623, 95.6%) of
whom were male. Of the 652 AKI patients, 334 cases (51.2%) were diagnosed with
AKI by the 48-hour window for diagnosis, while 318 cases (48.8%) were by the
7-day window for diagnosis. The 90-day mortality was 42.5% in patients with
48-hour window AKI and 24.2% in patients with 7-day window AKI. Kaplan–Meier
curves showed that 90-day mortality was lower in the 7-day window AKI group
than in the 48-hour window AKI group (log rank: P <0.001). Multivariate analysis
by the Cox model revealed that 48-hour window for diagnosis hazard ratio
(HR=1.818; 95% CI: 1.256–2.631; P =0.002) was
associated with higher 90-day mortality.
Conclusion: The 90-day mortality was higher in 48-hour window AKI than in
7-day window AKI in very elderly patients. The 48-hour KDIGO window definition
may be less sensitive. The 48-hour KDIGO window definition is significantly
better correlated with subsequent mortality and is, therefore, still
appropriate for clinical use. Finding early, sensitive biomarkers of kidney
damage is a future direction of research.
Keywords: acute kidney injury, AKI diagnosis time, very elderly, short-term
mortality