The Effect of Electrolyte Balance on the Voice in Hemodialysis Patients

Overview

Journal Eur Arch Otorhinolaryngol

Specialty Otorhinolaryngology

Date 2018 Aug 23

PMID 30132071

Citations 6

Authors

Saime Sagiroglu

Adem Doganer

Affiliations

Soon will be listed here.

Abstract

Objective: The aim of the study was to demonstrate the effect of blood electrolytes on the voice in chronic hemodialysis patients.

Methods: The study included a total of 59 hemodialysis patients. Pre- and post-dialysis voice recordings were performed. In the analysis of vocal acoustic parameters, fundamental frequency (F0), jitter, shimmer, the noise-to-harmonics ratio (NHR), and F0 minimum and F0 maximum were measured. The Voice Handicap Index-10 (VHI-10), and maximum phonation time (MPT) were evaluated. For perceptual evaluation, the GRBAS scale was used. The duration of dialysis (years) and changes in weight during dialysis were recorded for each patient. From venous blood samples, measurements were taken of hemoglobin (Hb), albumin, Na+, K+, creatinine, uric acid, phosphorus, Ca++, and parathormone.

Results: The difference in the pre and post-dialysis values of F0, shimmer, NHR and MPT were found to be statistically significant (p = 0.001). The only variable determined to have an effect on the change in F0 values was uric acid, and the change in the F0 values was statistically significant (p = 0.009). The only variable determined to have an effect on the change in shimmer values was sodium, and the change was statistically significant (p = 0.034). The only variable determined to have an effect on the change in NHR values was creatinine, and the change in the NHR values was statistically significant (p = 0.028). Hb and the duration of dialysis were determined to have a statistically significant effect on the change in MPT values (p = 0.001).

Conclusions: The results showed that uric acid was the agent creating a reduction in vocal cord vibration, the agent increasing the difference between vibration waves was Na+, and creatinine increased the NHR rate. The effect of these variables can be considered important in the understanding of vocal cord physiology.

Citing Articles

Clinical Utility of Machine Learning-Derived Vocal Biomarkers in the Management of Heart Failure.

Okada K, Mizuguchi D, Omiya Y, Endo K, Kobayashi Y, Iwahashi N Circ Rep. 2024; 6(8):303-312.

PMID: 39132330 PMC: 11309773. DOI: 10.1253/circrep.CR-24-0064.

Acoustic Characteristics of Voice in Patients with Chronic Kidney Disease.

Abd El-Gaber F, Sallam Y, El Sayed H Int J Gen Med. 2021; 14:2465-2473.

PMID: 34149287 PMC: 8205614. DOI: 10.2147/IJGM.S307684.

Feasibility of remote speech analysis in evaluation of dynamic fluid overload in heart failure patients undergoing haemodialysis treatment.

Amir O, Anker S, Gork I, Abraham W, Pinney S, Burkhoff D ESC Heart Fail. 2021; 8(4):2467-2472.

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Real-world evidence and optimization of vocal dysfunction in end-stage renal disease patients with secondary hyperparathyroidism.

Chang G, Chou F, Tsai M, Tsai Y, Yang M, Huang E Sci Rep. 2021; 11(1):653.

PMID: 33436789 PMC: 7804098. DOI: 10.1038/s41598-020-79810-0.

Reply to the letter to the editor regarding "The effect of electrolyte balance on the voice in hemodialysis patients".

Sagiroglu S, Doganer A Eur Arch Otorhinolaryngol. 2018; 276(1):275-276.

PMID: 30390120 DOI: 10.1007/s00405-018-5189-8.

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