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vol. 14
Clinical research

Factors influencing P terminal force in lead V1 of the ECG in hemodialysis patients

Andrzej Jaroszyński, Anna Jaroszyńska, Wojciech Dąbrowski, Tomasz Zaborowski, Andrzej Stepulak, Marek Iłżecki, Tomasz Zubilewicz

Arch Med Sci 2018; 14, 2: 257–264
Online publish date: 2017/02/22
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Chronic kidney disease is an independent risk factor for cardiovascular events [1–4]. Atrial fibrillation (AF) is a highly prevalent arrhythmia in hemodialysis (HD) patients. AF is estimated to occur in approximately 18% of HD patients, which is 2 to 3 times higher than reported in the general population, even after adjustment for age, gender, and comorbidities [1, 5]. Like in all other patients, the presence of AF is associated with increased mortality in HD patients [5, 6].
High prevalence of traditional risk factors can explain, at least partly, the high burden of AF in HD patients. However, risk factors for AF in HD patients do not mirror those reported in the general population. Some risk factors are specific to renal failure or related to the HD session itself [2, 5, 7, 8]. Recent studies have documented a distinct relationship between AF and the HD procedure, and that an HD session is considered a trigger for AF episodes. The arrhythmogenic effect of the HD procedure is multifactorial in origin and is attributed, among other reasons, to changes of electrolyte concentrations, changes in acid base status, a rapid decrease in circulating blood volume, and secretion of catecholamines [5–7].
An electrocardiogram (ECG) carries important information about electrophysiological properties of the heart. P wave parameters measured on ECG are commonly used as a noninvasive tool to evaluate left atrial (LA) abnormalities and carry important information about atrial electrophysiology, as well as structure and function. Abnormal P-terminal force in lead V1 (PTFV1) is a strong indicator of an enlarged, poorly functioning LA and is associated with increased risk of AF, stroke, left ventricular hypertrophy (LVH), heart failure as well as risk of death due to all-cause, cardiovascular (CV) disease, and ischemic heart disease mortality [9–12]. Recent studies have demonstrated that PTFV1 is prevalent in HD patients, and the presence of a PTFV1 > 0.04 mm × ms predicts new-onset AF in these patients [13–15]. To the best of our knowledge, there are no data in the literature on the influence of the HD process on PTFV1.
We designed this study to: (i) assess the influence of the HD process on PTFV1 and (ii) evaluate the possible factors influencing PTFV1 in a group of selected HD patients.

Material and methods


The study included adult chronic HD patients treated at two dialysis centers in Lublin. The exclusion criteria were: HD treatment less than 3 months, AF or flutter, and severe valvular disease. All patients gave written consent, and the studies were approved by members of the local ethics committees.


The HD patients were dialyzed three times weekly. Bicarbonate dialysate containing (in millimoles per liter) 32 bicarbonate, 137–140 sodium, 2.5–4.0 potassium (K), 0.50 magnesium and 1.25 or 1.5 calcium was used in all HD patients. During HD, no medication was applied except heparin.


Surface 12-lead resting ECGs were recorded 10 min before and immediately after (not exceeding 15 min) a single HD session with a computer-based electrocardiograph (Cardiax, Imed Ltd., Hungary). Electrodes were not removed during the HD session. PTFV1 was defined as the duration in seconds of the terminal (negative) part of the P wave multiplied by its depth in millimeters. Abnormal PTFV1 was defined as PTFV1 > 40 mm × ms [10]. The determinations of PTFV1 were made by the consensus of two observers, who were blinded to all of the patients’ clinical data.

Biochemical measurements

The following parameters were measured by automated analyzers before dialysis: intact parathormone, albumin, C-reactive protein, cardiac troponin T, N-terminal pro-hormone brain natriuretic peptide, total cholesterol, high-density lipoprotein cholesterol and triglycerides. Low-density lipoprotein cholesterol was calculated using the Friedewald equation. Blood was obtained after at least 8 h fasting. The following parameters were measured by automated analyzers both before and after dialysis: serum sodium, K, calcium, phosphate, magnesium, hemoglobin (Hb). Post-dialysis blood samples were taken immediately after the end of an HD session (after 10–15 s of 50–100 ml/min blood flow).

Impedance cardiography

The impedance cardiography measurements were performed in patients 20 min before and immediately after (not exceeding 15 min) a single HD session with a BioZ monitor (CardioDynamics, Int. Corp., San Diego, CA, USA). Sensors were placed as recommended by the manufacturer, and all measurements were performed according to the manufacturer’s guidelines [13] as described in detail elsewhere [16]. The following parameters were determined: stroke index (SI), systemic vascular resistance index (SVRI), cardiac index (CI) and thoracic fluid content (TFC).


Two-dimensional echocardiographic examination was performed using a 2.5-MHz transducer by a cardiologist who was blinded to the clinical data of the study subjects. The left ventricular mass was indexed for body surface area to obtain the left ventricular mass index (LVMI). Left ventricle hypertrophy was defined by an LVMI over 131 g/m2 in male or over 110 g/m2 in female subjects [17]. Left ventricular ejection fraction (LVEF) was measured by Simpson’s method. The LA volume was calculated with the biplane area method in apical 4-chamber views, and this was indexed for body surface area to obtain the LA volume index (LAVI) [18]. All echocardiographic measurements were performed on the morning after dialysis [17] according to the recommendations of the American Society of Cardiology.

Statistical analysis

Statistical analysis was carried out using Statistica version 10. Results were tested for normality by using the Kolmogorov-Smirnov test. When normally distributed, continuous variables were expressed as mean ± SD, and as median and range when non-normally distributed. The statistical significance of the differences between pre- and post-dialysis results were compared using Student’s t-test for paired data or using the Mann-Whitney U-test when appropriate. Categorical data were expressed as frequencies and percentages and were compared using the 2 test. Multiple regression analysis was performed to estimate the potential influence of various factors on the PTFV1. Probability values of p < 0.05 were accepted as significant.


Of the total of 189 HD patients initially identified, 28 (14.8%) patients were excluded due to AF, 6 due to HD treatment less than 3 months, and 2 due to valvular disease. The remaining 153 HD patients (81 females and 72 males), aged 44–87 years (mean: 67.97 ±9.18), who remained on HD from 3 to 101 months (mean: 38.51 ±22.34) entered the study. The causes of end-stage renal disease were diabetes (n = 66), glomerulonephritis (n = 32), hypertensive nephropathy (n = 11), obstructive nephropathy (n = 6), polycystic kidney disease (n = 5), chronic pyelonephritis (n = 5), and unknown/uncertain (n = 28). Out of 153 patients who qualified for the study, 122 (79.7%) were taking angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, 131 (85.6%) -blockers, 98 (64.1%) statins and 104 (70.0%) calcium blockers.
Before the HD, abnormal PTFV1 was found in 54 (35.3%) of all patients. Of the 54 patients with abnormal pre-dialysis PTFV1, post-dialysis abnormal PTFV1 remained in 53 patients, whereas in 1 patient normalization of PTFV1 was observed. The HD process induced a significant increase in the PTFV1 value from 28.32 ±25.89 mm × ms to 35.4 ±33.01 mm × ms (p = 0.004). However, no significant increase in PTFV1 values was observed in HD patients in whom abnormal pre-dialysis PTFV1 values were observed (pre- vs. post-dialysis PTFV1 was 51.2 ±7.72 and 53.9 ±7.05 respectively, p = 0.205). After dialysis, abnormal PTFV1 was observed in 74 (48.4%) patients. Of 74 patients with abnormal post-dialysis PTFV1, 21 had pre-dialysis PTFV1 values < 40 mm × ms, and the HD process induced an increase of PTFV1 values. No differences were observed in PTFV1 between females and males either before or after dialysis. Statistical analysis was performed separately for patients with abnormal pre-dialysis PTFV1 and for patients in whom the HD process induced abnormal PTFV1 values. Baseline characteristics of patients with abnormal pre-dialysis PTFV1 as well as HD-induced abnormal PTFV1 values are shown in Tables I and II, respectively.
Patients with abnormal pre-dialysis PTFV1 were older (p < 0.001), more often had a history of myocardial infarction (MI) (p < 0.001), and had higher prevalence of diabetes (p = 0.011). With regard to echocardiographic parameters, patients with abnormal pre-dialysis PTFV1 values had higher left ventricular mass (LVM) (p = 0.001), LVMI (p < 0.001) and LAVI (p < 0.001) values, lower LVEF values (p = 0.010), and higher prevalence of LVH (p = 0.003). Additionally, patients with abnormal pre-dialysis PTFV1 values had lower Hb (p = 0.015) and higher TFC values (p = 0.004) in comparison to patients with normal pre-dialysis PTFV1.
Patients in whom the HD process induced abnormal PTFV1 were on dialysis for longer (p = 0.011), had a lower pre-dialysis SI value (p = 0.003), higher parathormone level (p = 0.008), larger differences between pre-dialysis and post-dialysis values () of systolic blood pressure ( systolic BP) (p = 0.008), higher  mean arterial pressure (MAP) (p = 0.006), higher  potassium (K) (p < 0.001), higher  magnesium (p = 0.003), and higher TFC values (p = 0.003).
The results of multiple regression analysis showing independent variables influencing pre-dialysis as well as dialysis-induced abnormal PTFV1 are presented in Tables III and IV, respectively. The independent predictors of pre-dialysis abnormal PTFV1 were LAVI, LVMI, and pre-dialysis TFC value. The independent predictors of HD-induced abnormal PTFV1 values were K and MAP.


Our study generated four major findings: (i) the prevalence of PTFV1 is high in HD patients, (ii) the HD process adversely affects PTFV1 values, (iii) pre-dialysis abnormal PTFV1 is mainly associated with structural heart abnormalities and hydration status, and (iii) HD-induced abnormal PTFV1 is predominantly associated with K as well as a drop in blood pressure.
The results of our study are in agreement with the results of previous studies, which indicated that the prevalence of abnormal PTFV1 is high in HD patients [11, 12]. In our study the prevalence of pre-dialysis abnormal PTFV1 was 35.3% and was very similar to the prevalence (34%) found by Nishi et al. [12]. Interestingly, Bilen et al. [11] found higher prevalence (66%) of abnormal PTFV1 in a small group of HD patients without clinically significant CVD.
According to our knowledge, ours is the first study to show that the HD process adversely affects PTFV1 values. It indirectly indicates that an HD session may be a trigger for AF episodes. It is in agreement with the results of previous studies [6, 7, 19], which indicated that the HD session increases the risk for AF. Moreover, recent studies have demonstrated that abnormal PTFV1 is associated with decreased LA functions [11], and may predict new-onset AF in HD patients [12].
The results of our study revealed that pre-dialysis abnormal PTFV1 values were associated with structural heart abnormalities and hydration status.
The re-entrant nature of AF requires areas of conduction delay to initiate and sustain arrhythmia, and pathological structural remodeling contributes to the development of AF [20]. Coronary artery disease and cardiomyopathy represented by echocardiographic evidence of structural heart disease form a possible arrhythmogenic pathway. Both LAVI and LVMI are well-known factors predisposing to AF in the general population [21] as well as in dialysis patients [19].
Hydration status is a potentially modifiable factor that affects the presence of pre-dialysis abnormal PTFV1. Myocardial stretch due to excessive volume overload results in electrophysiological changes in refractoriness and conduction, essential components of re-entry and proarrhythmia, and can induce arrhythmias. In HD patients, chronic fluid overload is a well-known factor leading to CV complications, such as myocardial dysfunction, hypertension, LVH, heart failure, arrhythmias, and cardiovascular mortality [8, 22]. Further studies are required to determine the possible TFC values that may induce abnormal PTFV1 values.
Our study revealed that dialysis-related functional abnormalities are also capable of inducing the presence of abnormal PTFV1.
The most likely mechanism through which changes in serum potassium induce abnormal PTFV1 is the influence of potassium on the cell membrane potential. The removal of K during HD is determined by the blood-dialysate concentration gradient, which generates diffusive-convective flows through the HD membrane, and affects the intra/extra K concentration ratio [23]. It is proposed that low potassium (potassium level drop) leads to cellular hyperpolarity, increases resting potential, increases atrial conduction time and hastens depolarization – all factors which predispose to the onset of re-entrant arrhythmias [8, 23–25]. Our results confirm that special attention should be focused on the intra-dialysis K concentrations, and probably dynamic adjustment of dialysis bath K is a strategy that should be considered to reduce the arrhythmogenic effect of the HD process.
Intradialytic hypotension (IDH) is estimated to occur during 20–30% of HD sessions [26, 27]. In our study IDH defined as a decrease of MAP by ≥ 10 mm Hg occurred in 17.4% of patients, and MAP was an independent predictor of the HD-induced abnormal PTFV1. Two main factors predispose to IDH: rapid ultrafiltration and cardiac remodeling. Rapid ultrafiltration fails to elicit compensatory CV responses, such as vasoconstriction and rising cardiac output, while the combination of inadequate peripheral vascular tone and plasma refilling insufficiency leads to a drop of blood pressure. The geometry of the left ventricle in HD patients mostly presents as concentric hypertrophy, and the sequelae of cardiac remodeling might actively contribute to the development of IDH. Recent studies have demonstrated that IDH is strongly associated with cardiovascular morbidity and mortality, including arrhythmias [26]. The HD patients have been shown to have a reduced coronary flow reserve even in the absence of coronary artery stenoses. Intradialytic hypotension can causes systemic hypoperfusion, including myocardium [26, 27]. This ischemic effect, though transient, may induce reversible myocardial dysfunction, which may potentially increase PTFV1; however, the ultimate cause remains unknown. Our study suggests that a drop in blood pressure should be especially avoided in patients prone to AF.
The present study has some important limitations. The main limitation is that there was no follow-up of our patients. This causes that both the prevalence of AF during follow-up and its relation with our results remain unknown. Therefore, our results can only indirectly suggest the potential factors associated with increased risk for AF in HD patients. The second limitation is the relatively small number of patients and the impossibility of controlling all possible factors that might influence PTFV1. Further studies are required to confirm our results as well as to determine their possible clinical importance in HD patients.
In conclusion, abnormal PTFV1 is prevalent in HD patients. Pre-dialysis abnormal PTFV1 is mainly associated with structural heart abnormalities and hydration status. HD-induced abnormal PTFV1 values are associated with serum K and blood pressure drop. Our results suggest only possible risk factors for AF in HD patients. However, their clinical significance needs to be confirmed in follow-up studies.

Conflict of interest

The authors declare no conflict of interest.


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