Abstract |
This study was performed to evaluate whether any electrocardiogram (ECG) parameter can predict the presence of hyperkalemia in patients on maintenance hemodialysis (HD). In January 2006, we conducted a cross-sectional study of 80 stable patients with end-stage renal disease from four university-based HD units of Tehran, Iran, receiving conventional thrice-weekly HD. Pre-HD serum electrolyte values and conventional 12-lead ECG were obtained from each patient. Bivariate linear regression was used for assessing relationship of the study variables with hyperkalemia (K+ > 5.2 mg/dL). Multivariable logistic regression was used for evaluating independent relationship between decreased T wave duration (< or =170 ms) and other variables. Bivariate correlation analysis showed a significant inverse correlation between serum potassium concentration and T wave duration (P < 0.05). None of the patients with serum potassium of > or = 5.6 mg/dL had T wave duration >200 ms. Multivariate logistic analysis, after adjustment for other factors, also showed a significant relationship between decreased T wave duration (< or =170 ms) and hyperkalemia. We conclude that although hyperkalemia does not induce the usual ECG changes in HD patients, decreased T wave duration was found to be a good indicator of this lethal condition.
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Authors | Eghlim Nemati, Saeed Taheri |
Journal | Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
(Saudi J Kidney Dis Transpl)
Vol. 21
Issue 3
Pg. 471-7
(May 2010)
ISSN: 1319-2442 [Print] Saudi Arabia |
PMID | 20427871
(Publication Type: Journal Article, Multicenter Study, Research Support, Non-U.S. Gov't)
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Chemical References |
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Topics |
- Adult
- Aged
- Aged, 80 and over
- Arrhythmias, Cardiac
(blood, diagnosis, etiology)
- Biomarkers
(blood)
- Cross-Sectional Studies
- Electrocardiography
- Female
- Humans
- Hyperkalemia
(blood, diagnosis, etiology)
- Iran
- Kidney Failure, Chronic
(blood, complications, therapy)
- Linear Models
- Logistic Models
- Male
- Middle Aged
- Potassium
(blood)
- Predictive Value of Tests
- Renal Dialysis
(adverse effects)
- Young Adult
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