Evaluation of Atrial Electromechanical Delay to Predict Atrial Fibrillation in Hemodialysis Patients
| Autor: | Fatma Betul Guzel, Murat Kerkütlüoğlu, Ozkan Gungor, Abdullah Sokmen, Hakan Güneş, Hakki Kaya, Gulizar Sokmen |
|---|---|
| Přispěvatelé: | [Gunes, Hakan -- Sokmen, Abdullah -- Kerkutluoglu, Murat -- Sokmen, Gulizar] Sutcu Imam Univ, Dept Cardiol, TR-46040 Kahramanmaras, Turkey -- [Kaya, Hakki] Cumhuriyet Univ, Dept Cardiol, TR-58140 Sivas, Turkey -- [Gungor, Ozkan -- Guzel, Fatma Betul] Sutcu Imam Univ, Dept Nephrol, TR-46040 Kahramanmaras, Turkey |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
Medicine (General) medicine.medical_specialty medicine.medical_treatment Population 030232 urology & nephrology atrial electromechanical delay macromolecular substances 030204 cardiovascular system & hematology Sensitivity and Specificity Article 03 medical and health sciences R5-920 0302 clinical medicine Predictive Value of Tests Renal Dialysis Internal medicine medicine Humans atrial fibrillation Heart Atria Prospective Studies cardiovascular diseases education Univariate analysis education.field_of_study hemodialysis business.industry Area under the curve Atrial fibrillation General Medicine Odds ratio Middle Aged medicine.disease Confidence interval Multivariate logistic regression model Cross-Sectional Studies Cardiology Electrocardiography Ambulatory cardiovascular system Female Hemodialysis business |
| Zdroj: | Medicina Volume 54 Issue 4 Medicina, Vol 54, Iss 4, p 58 (2018) Medicina; Volume 54; Issue 4; Pages: 58 |
| Popis: | Background and objective: Prevalence of atrial fibrillation is higher in hemodialysis patients as compared to the general population. Atrial electromechanical delay is known as a significant predictor of atrial fibrillation. In this study, we aimed to reveal the relationship between atrial electromechanical delay and attacks of atrial fibrillation. Materials and methods: The study included 77 hemodialysis patients over 18 years of age giving written consent to participate in the study. The patients were divided into two groups based on the results of 24-h Holter Electrocardiogram (Holter ECG) as the ones having attacks of atrial fibrillation and the others without any attack of atrial fibrillation. Standard echocardiographic measurements were taken from all patients. Additionally, atrial conduction times were measured by tissue Doppler technique and atrial electromechanical delays were calculated. Results: Intra- and interatrial electromechanical delay were found as significantly lengthened in the group of patients with attacks of atrial fibrillation (p = 0.03 and p < 0.001 respectively). The optimal cut-off time for interatrial electromechanical delay to predict atrial fibrillation was > 21 ms with a specificity of 79.3% and a sensitivity of 73.7% (area under the curve 0.820 95% confidence interval (CI), 0.716&ndash 0.898). In the multivariate logistic regression model, interatrial electromechanical delay (odds ratio = 1.230 95% CI, 1.104&ndash 1.370 p < 0.001) and hypertension (odds ratio = 4.525 95% CI, 1.042&ndash 19.651 p = 0.044) were also associated with atrial fibrillation after adjustment for variables found to be statistically significant in univariate analysis and correlated with interatrial electromechanical delay. Conclusions: Interatrial electromechanical delay is independently related with the attacks of atrial fibrillation detected on Holter ECG records in hemodialysis patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|