Jawa NA, Vanderlinden JA, Scott SH, Jacobson JA, Silver SA, Holden R, Boyd JG. Visuospatial and Executive Dysfunction in Patients With Acute Kidney Injury, Chronic Kidney Disease, and Kidney Failure: A Multilevel Modeling Analysis.
Can J Kidney Health Dis 2022;
9:20543581221103100. [PMID:
35721396 PMCID:
PMC9201347 DOI:
10.1177/20543581221103100]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 04/25/2022] [Indexed: 11/29/2022] Open
Abstract
Background:
Neurocognitive impairment is a common finding across the spectrum of kidney
disease and carries important consequences for quality of life. We
previously demonstrated that robotic technology can identify neurocognitive
impairments not readily detectable by traditional testing in patients with
acute kidney injury (AKI) and chronic kidney disease (CKD).
Objective:
The present study aimed to assess whether these quantifiable deficits in
neurocognition differ based on a diagnosis of AKI, CKD, or kidney
failure.
Design:
This was a cross-sectional analysis of participants previously enrolled in an
observational study.
Setting:
Patients were enrolled at a tertiary academic hospital, Kingston Health
Sciences Centre, Kingston, ON, Canada.
Patients:
Adults with AKI, CKD, or kidney failure.
Measurements:
Each participant underwent robotic neurocognitive assessment using the
Kinarm: an interactive robotic device that uses a series of behavioral tasks
involving movement of the upper limbs to precisely quantify neurocognitive
impairment across a variety of neurocognitive domains.
Methods:
Multilevel modeling was used to determine the effect of Kinarm task type,
kidney diagnostic group (AKI vs CKD vs kidney failure), and the interaction
between the two, on neurocognitive performance.
Results:
A total of 104 participants within 1 year of an AKI event or with CKD
category G3-5 were enrolled. We found that across all of the kidney
diagnostic groups, participants performed worst on the Kinarm tasks of
Reverse Visually Guided Reaching (b = 0.64 [95% confidence
interval = 0.42, 0.85]), Visually Guided Reaching (b = 0.28
[0.07, 0.49]), and Trail Making (b = 0.50 [0.28, 0.72]),
relative to all other tasks. There were no significant differences in
average performance across tasks based on kidney diagnostic group. However,
diagnostic group and neurocognitive task type interacted to determine
performance, such that patients with AKI performed worse than those with
either CKD or kidney failure on the Reverse Visually Guided Reaching
task.
Limitations:
Kinarm assessment was performed at a single time point, and the sample size
itself was small, which may lead to the risk of a false-positive association
despite the use of multilevel modeling. Our sample size also did not permit
inclusion of the underlying etiology of kidney impairment as a covariate in
our analyses, which may have also influenced neurocognitive function.
Conclusions:
In this study that utilized the Kinarm to assess neurocognitive function,
patients with AKI demonstrated significantly worse neurocognitive
functioning than patients with CKD or kidney failure on a task measuring
executive function and visuomotor control.
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