The effect of a single dialysis session on spatial QRS-T angle in haemodialysis patients

Jaroszyński, Andrzej; Wysokiński, Andrzej; Bednarek-Skublewska, Anna; Główniak, Andrzej; Ksiazek, Piotr; Sodolski, T.; Furmaga, Jacek; Kutarski, Andrzej; Książek, Andrzej

doi:10.1093/ndt/gfq247

Cited by 12 publications

(17 citation statements)

References 26 publications

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“…In this study, we included 66 patients who had characteristics that are more close to the “real life” and besides the Tpe interval we evaluated the changes of the Tpe/QT ratio which seems to be the most reliable noninvasive electrocardiographic measure of spatial dispersion of repolarization. Interestingly, two recent studies assessed some other novel electrocardiographic indexes (QRS‐T angle and microvolt T‐wave alternans) and concluded that HD increases the heterogeneity of ventricular repolarization although the clinical importance of this phenomenon remains uncertain …”

Section: Discussionmentioning

confidence: 99%

“…In fact, the T peak‐to‐end (Tpe) interval and the Tpe/QT ratio represent novel electrocardiographic indexes of arrhythmic risk that possibly correspond to the spatial dispersion of ventricular repolarization . Data on modern indexes of dispersion of repolarization in the dialysis population are sparse . Thus, in this study, we sought to investigate the effects of a single HD session on the aforementioned electrocardiographic indexes in patients with ESRD.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Hemodialysis on the Dispersion of Ventricular Repolarization

Kalantzi

Gouva²,

Letsas

et al. 2013

Pacing Clinical Electrophis

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Impact of Hemodialysis on the Dispersion of Ventricular Repolarization

Kalantzi

Gouva²,

Letsas

et al. 2013

Pacing Clinical Electrophis

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show abstract

“…Several recent studies have validated the role of QRS/T angle (QRS/T) as a sensitive, powerful and independent risk stratifier for cardiac events in the general population [1][2][3] as well as in various clinical settings [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Agreement between manual and automated measurements of simple QRS/T angle

et al. 2014

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AbstractThe spatial QRS/T angle (QRS/T) has been identified as a strong and independent predictor of adverse cardiac events. QRS/T can be determined from the electrocardiogram (ECG) by matrix transformation methods or formula which uses a combination of net QRS and T-wave amplitudes (QRS/Tsimple). Amplitudes can be measured automatically by using dedicated software (QRS/Tauto) or can be manually measured on a computer screen (QRS/Tmanual). This latter method allows analysis of QRS/T, when digital ECGs are not available. The aim of the study was to determine the agreement in the measurements between automatically derived QRS and T amplitudes and manually measured on the computer screen amplitudes. The relative error of the QRS/T between the two methods was estimated in 73 patients. In the case of QRS/Tmanual the inter-observer as well as intra-observer variability was estimated. The relative error between QRS/Tauto vs. QRS/Tmanual was 3.51%. Inter-observer and intra-observer variability of the QRS/Tmanual was 1.19% and 1.18% respectively. Manual measurement of the QRS/T is reliable, however, the predictive value of this parameter should be tested in clinical trials, before QRS/Tmanual can be considered a useful tool in clinical practice or retrospective studies.

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“…41 FQRSTA is a very powerful predictor of cardiovascular events (e.g., myocardial ischemia), 42 sudden cardiac death, [13][14][15][16][17]43 appropriate ICD therapy, 44,45 all-cause mortality, 15,[33][34][35][36][37] increased cardiac-related hospitalizations, 17,35 reduced left ventricular function, [34][35][36]46 especially in patients with postinfarction, [13][14][15][16][17] acute myocardial infarction with LVEF ࣘ40%, 47 the elderly, 12 chronic dialysis, [18][19][20] heart failure with preserved ejection fraction, 17 and ischemic stroke 48 considered stronger than any of the classical cardiovascular risk factors. 16,17 Risk factors leading to an elevation in FQRSTA were related to coronary artery disease, dialysis, poor-controlled hypertension, 49,50 pulmonary arterial hypertension, 51 left/right ventricular hypertrophy, 51-54 dilated left ventricle, 55 lower LVEF, 56 DM, 57, 58 smoking, [57][58][59] and female gender.…”

Section: Dm and Fqrstamentioning

confidence: 99%

“…Recent reports showed that the maximal magnitude of frontal QRS-T angle (FQRSTA) was significantly associated with the prognosis of elderly patients, 12 myocardial infarction, [13][14][15][16][17] heart failure, 17 and chronic dialysis. [18][19][20] There was no report about the influence of DM on the virtual planar QRS vector, T vector, and FQRSTA, derived from a Holter monitor. In this study, we randomly enrolled several patients with and without type 2 DM (NDM) in order to exploit the influence of DM on planar QRS and T vector virtually derived from Holter.…”

mentioning

confidence: 99%

Changes of Virtual Planar QRS and T Vectors Derived from Holter in the Populations with and without Diabetes Mellitus

Chen

Lin

et al. 2015

Ann Noninvasive Electrocardiol

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Aims: Research related to type 2 diabetes mellitus (DM) and parameters of electrocardiography (ECG) was limited. Patients with and without DM (NDM) were randomly enrolled in a study to exploit the influence of DM on planar QRS and T vectors derived from the Virtual Holter process.Methods: A total of 216 (NDM) and 127 DM patients were consecutively and randomly recruited. We selected a 1-minute length of ECG, which was scheduled for analysis at 4 AM. After a series of calculating algorisms, we received the virtual planar vector parameters.Results: Patients with DM were elderly (65.61 ± 12.08 vs 59.41 ± 16.86 years, P < 0.001); higher morbidity of hypertension (76.38% vs 58.14%, P < 0.001) and coronary artery disease (44.09% vs 32.41%, P = 0.03); thicker interventricular septum (10.92 ± 1.77 vs 10.08 ± 1.96 mm, P < 0.001) and left ventricular posterior wall (9.84 ± 1.38 vs 9.39 ± 1.66 mm, P = 0.03); higher lipid levels and average heart rate (66.67 ± 12.04 vs 61.87 ± 13.36 bpm, P < 0.01); higher angle of horizontal QRS vector (HQRSA, -2.87 ± 48.48 vs -19.00 ± 40.18 degrees, P < 0.01); lower maximal magnitude of horizontal T vector (HTV, 2.33 ± 1.47 vs 2.88 ± 1.89 mm, P = 0.01) and maximal magnitude of right side T vector (2.77 ± 1.55 vs 3.27 ± 1.92 mm, P = 0.03), and no difference in angle of frontal QRS-T vector (FQRSTA, 32.77 ± 54.20 vs 28.39 ± 52.87 degrees, P = 0.74) compared with patients having NDM. After adjusting for confounding factors, DM was significantly effective on FQRSTA (regression coefficient -40.0, 95%CI -66.4 to -13.6, P < 0.01), HQRSA (regression coefficient 22.6, 95%CI 2.5 to 42.8, P = 0.03), and HTV (regression coefficient 0.9, 95%CI 0.2 to 1.7, P = 0.01). Confounding

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The effect of a single dialysis session on spatial QRS-T angle in haemodialysis patients

Cited by 12 publications

References 26 publications

The Impact of Hemodialysis on the Dispersion of Ventricular Repolarization

The Impact of Hemodialysis on the Dispersion of Ventricular Repolarization

Agreement between manual and automated measurements of simple QRS/T angle

Changes of Virtual Planar QRS and T Vectors Derived from Holter in the Populations with and without Diabetes Mellitus

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