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Clinical Features - Original Research

Chronic kidney disease as a risk factor for vestibular dysfunction

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Pages 649-652 | Received 25 Apr 2017, Accepted 01 Jun 2017, Published online: 09 Jun 2017
 

ABSTRACT

Objectives: The aim of this study was to determine whether chronic kidney disease (CKD) is associated with vestibular dysfunction in a general population.

Methods: Of the total participants, 7,799 of participants were included in this study. The data collected from the participants during the health examination included an estimated glomerular filtration rate (eGFR) and balancing test results. Mild CKD was defined as an eGFR of 60–90 mL/min/1.73 m2 or an eGFR ≥ 90 mL/min/1.73 m2 with dipstick proteinuria (≥ 1+). Moderate CKD was defined as an eGFR of 45–59 mL/min/1.73 m2. Severe CKD was defined as an eGFR of 30–44 mL/min/1.73 m2. Very severe CKD was defined as an eGFR < 30 mL/min/1.73 m2.

Results: The number of participants with vestibular dysfunction was 268. Univariate and multivariate linear regression analyses showed that eGFR levels were inversely associated with the presence of vestibular dysfunction. Multivariate analysis revealed that those with moderate, severe, and very severe CKD had a 1.830-, 4.496-, and 6.055-fold increased risk of vestibular dysfunction, respectively, compared to the participants without CKD.

Conclusion: CKD was found to be associated with vestibular dysfunction in the general population. Therefore, the participants with CKD may be closely monitored for vestibular dysfunction.

Declaration of interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Additional information

Funding

This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning [2014R1A1A3049993].

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