Changes in QTc interval in long-term hemodialysis patients

Abstract

Background

Cardiovascular diseases, including sudden cardiac death (SCD), are the leading cause of death in hemodialysis (HD) patients. A prolonged QT interval on the electrocardiogram (ECG) is a risk factor for SCD in HD patients. This study investigated whether the heart rate-corrected QT (QTc) interval becomes prolonged along with dialysis vintage.

Methods

A total of 102 HD patients were retrospectively studied. Their ECG data were analyzed at 1, 4, and 7 years after HD initiation. The control group comprised 68 age-matched individuals who had normal renal function and two available ECG reports at an interval of more than 4 years. QTc was measured according to the Bazett formula. The association between QTc interval and dialysis vintage was studied. Additionally, clinically relevant variables related to QTc duration at 1 year after HD initiation were assessed.

Results

Average QTc interval at 4 and 7 years after HD initiation was significantly longer than that at 1 year after HD initiation (443, 445, and 437 ms) (p<0.05). On the other hand, QTc interval in the control group was 425 ms in the first year and 426 ms after an average of 6 years. They had no significant differences, although they were much shorter than that in HD patients. Multivariate regression analysis of baseline variables revealed that the corrected calcium levels (p = 0.041) and diabetes (p = 0.043) were independently associated with longer QTc interval.

Conclusions

The QTc interval at 1 year after HD initiation was longer than in the control subjects and was prolonged over several years of HD treatment. Providing clinical management with a focus on QTc interval may be helpful for reducing the incidence of SCD in HD patients.

About the Authors:

Yoshihiro Matsumoto

Roles Conceptualization, Writing – original draft

* E-mail: [email protected]

Affiliation: Department of Nephrology and Hemodialysis, Shizuoka City Hospital, Shizuoka, Japan

ORCID logo http://orcid.org/0000-0003-2756-5290

Yasuo Mori

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Data curation, Project administration

Affiliation: Shibukawa Clinic, Shizuoka, Japan

Shinji Kageyama

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Data curation, Validation

Affiliation: Kageyama Clinic, Shizuoka, Japan

Kazuo Arihara

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Data curation, Validation

Affiliation: Ohtemachi Clinic, Shizuoka, Japan

Hidemaro Sato

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Data curation

Affiliation: Sawada Hospital, Gifu, Japan

Kijun Nagata

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Data curation

Affiliation: Sawada Hospital, Gifu, Japan

Yasushi Shimada

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Validation

Affiliation: Department of Nephrology and Hemodialysis, Shizuoka City Hospital, Shizuoka, Japan

Yohichi Nojima

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Validation

Affiliation: Department of Nephrology and Hemodialysis, Shizuoka City Hospital, Shizuoka, Japan

Koichiro Iguchi

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Validation

Affiliation: Department of Nephrology and Hemodialysis, Shizuoka City Hospital, Shizuoka, Japan

Toshikazu Sugiyama

Contributed equally to this work with: Yasuo Mori, Shinji Kageyama, Kazuo Arihara, Hidemaro Sato, Kijun Nagata, Yasushi Shimada, Yohichi Nojima, Koichiro Iguchi, Toshikazu Sugiyama

Roles Data curation, Project administration

Affiliation: Sugiyama Clinic, Shizuoka, Japan

Introduction

Patients with end-stage renal disease (ESRD) undergoing dialysis are at a particularly high risk of cardiovascular disease (CVD). Sudden cardiac death (SCD) is the most common cause of mortality in these patients, accounting for >25% of all deaths in United States [1]. Unlike in the general population, coronary artery disease is not a major cause of SCD in dialysis patients. Study of Heart and Renal Protection concluded that lowering LDL cholesterol with statin and ezetimibe did not result in decreased coronary mortality in patients with chronic kidney disease including dialysis patients [2]. A retrospective study reported that 71% of dialysis patients who died of SCD had either normal left ventricular (LV) function or mild-to-moderate dysfunction [3]. A small study using an implantable cardiac monitor in stable hemodialysis (HD) patients with more than 35% of LV function revealed that at least 4 of 5 SCD events occurred with severe bradycardia and ensuring asystole [4]. Neither ventricular arrhythmias nor QRS widening was recorded at the time of these deaths [4]. Therefore, it is hypothesized that dynamic electrical changes as well as profound myocardial alterations associated with metabolic and structural disorders are of greater importance in HD patients.

A prolonged QT interval on the electrocardiogram (ECG) usually indicates delayed ventricular myocardial repolarization. Previous reports have shown that abnormal heart rate-corrected QT (QTc) prolongation is an independent risk factor for SCD in patients with heart failure [5] and in the general older population [6], and that prolonged QTc interval predicts mortality in patients with Takotsubo cardiomayopathy [7] or type 1 diabetes [8]. Recently, Genovesi et al demonstrated that prolonged QTc was associated with SCD and total mortality in a case series of HD patients [9].

Previously, HD sessions have been shown to induce a progressive increase in QT interval [10]. In vivo and in silico analysis clearly revealed that the change of serum concentrations of calcium and potassium alter the ventricular repolarization duration, which depends on the level of these ions in the dialysate [11]. These effects may predispose some patients to ventricular arrhythmia during and after HD. On the other hand, it was reported that QTc interval before HD session in HD patients was longer than that in healthy controls [12]. Also, QTc interval was found to increase with each subsequent stage of chronic kidney disease (CKD) [13]. These results suggest that both repeated HD sessions and ESRD per se may promote prolongation of QT interval.

In the present study, changes in QTc interval after HD initiation in ESRD patients was investigated, and clinically relevant variables related to basal QTc duration in patients on HD were also assessed.

Materials and methods

Patient selection

Patients were recruited from 7 outpatient hemodialysis facilities. Eligibility criteria were determined by reviewing the medical records and ECG data. The patients who were 25 years or older at the time of HD initiation and had been undergoing 4-hour long HD, 3 times a week for at least 7 years, and whose ECG reports at 1, 4, and 7 years after HD initiation were available, were included in the study. We did not collect the data of QTc interval just before and after HD initiation because of the possibility of severe disturbance of electrolyte levels. They received standard medications such as vitamin D, phosphate binders, antihypertensive agents, and erythropoietin. Dialysate bathes contained 2.0 mEq/L K+, 2.5–3.0 mEq/L Ca++, and 1.0 mEq/L Mg++.

To create the comparison cohort, age-matched patients who were being followed up for management of diabetes mellitus, hypertension, hyperlipidemia or hyperuricemia, or who had been undergoing routine health checks, were identified at Shibukawa Clinic (Shizuoka, Japan). The patients who had at least two ECG reports at an interval of more than 4 years, were aged 40 years or over at the time of early ECG examination, and had normal renal function at the time of last ECG examination, were included in the control group.

In both HD group and control group, any patient who had heart rate <57 beats per minute (bpm) or >103 bpm, any rhythm other than sinus, or any instances of extrasystoles in their ECG reports were excluded from the study.

This study was approved by Ethics Committee of Shibukawa Clinic and all participants provided written informed consent for the study according to the Declaration of Helsinki.

Baseline data collection at 1 year after HD initiation in patients with ESRD

In all the 7 HD facilities, pre- and post-dialysis blood samples were routinely collected every month, and ECG and chest X-ray were examined before HD session on the same day as blood tests at least every 3 to 6 months. From the medical records on the day when ECG examination was undertaken about one year after HD initiation, the following hematochemical variables were obtained: hemoglobin (g/dl), albumin (g/dl), urea (mg/dl), total calcium (mg/dl), phosphorus (mg/dl), potassium (mEq/l), and glucose (mg/dl). Albumin-corrected serum calcium was calculated using the following equation: corrected calcium (mg/dl) = [(0.8 x (4- measured serum albumin (g/dl)) + measured total calcium (mg/dl)] [14]. Dialysate calcium concentration, pre-dialysis body weight, blood pressure, cardiothoracic ratio (%) on chest X-ray, and data of medications used (angiotensin converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), Ca-blockers, beta-blockers, and antiarrhythmic medication), were also obtained. Medical histories such as cardiac surgery, percutaneous coronary intervention, and implantation of a pacemaker or a defibrillator until that day were collected.

Evaluation of QTc interval in ECGs

The patients in the HD and control groups underwent 12-lead ECG at rest using ECG machines from Fukuda Denshi (Tokyo, Japan) or Nihon Kohden (Tokyo, Japan). For HD patients, it was done before HD session. The QT and RR intervals were measured based on the automated algorithms. The two companies used different programs to measure QT interval and different methods for calculation of QTc interval (Fukuda Denshi, Bazett formula; Nihon Kohden, ECAPS12 formula). To unify formulas to obtain QTc interval, we recalculated the results from Nihon Kohden machines using Bazett formula (QTc = QT/√RR), based on the corresponding QT and RR intervals. ECGs showing heart rate <57 bpm or >103 bpm, were excluded to improve the accuracy of correction of the QTc interval using Bazett formula.

Statistical analyses

Data were expressed as percentage for categorical variables or as means and standard deviations for continuous variables. All analyses were conducted using DANS version 7.1 (Sugimoto Data Analysis Service, Nagoya, Japan).

Univariate analysis was used to identify the factors related to QTc interval at 1 year after HD initiation. Unpaired t-test or one-way layout analysis of variance was applied for categorical variables and linear regression analysis was applied for continuous variables. Subsequently, multivariate regression analysis was performed for selected variables which were significantly associated with the basal QTc interval at univariate analysis. A p value was considered statistically significant when <0.10 in the univariate analysis and when <0.05 in the multivariate analysis.

To compare the QTc interval between the two sets (at first year and after 6 years in the control group; at first year in the control group and at 1 year after HD initiation in the HD group), Student’s t test was used. To compare the QTc interval at 1 year, 4 years, and 7 years after HD initiation in the HD group, Dunett type multiple comparison was applied. A p value of <0.05 was considered statistically significant for both comparisons.

Results

One hundred and two patients of HD (66 men, 36 women) and 68 control patients (27 men, 41 women) participated in the study. Clinical and demographic characteristics of HD group at 1 year after HD initiation are described in Table 1. The mean ages at 1 year after HD initiation in the HD group and at the time of first ECG analysis in the control group were 58.5 and 58.0 years, respectively.

[Figure omitted. See PDF.]

Table 1. Baseline characteristics of the study populations.

https://doi.org/10.1371/journal.pone.0209297.t001

Ventricular repolarization duration and its predictors

Univariate analyses of various variables on QTc interval at 1 year after HD initiation in the HD group are shown in Table 2. The difference in the principal cause of ESRD was found to be associated with QTc interval by one-way layout analysis of variance (p = 0.070). QTc interval was found to have a direct relationship with age (p = 0.041) and cardiothoracic ratio (p = 0.044) and inverse relationship with hemoglobin (p = 0.051), corrected calcium (p = 0.037) and phosphorus (p = 0.033). However, gender, use of ACEIs/ARBs or Ca-blockers, dialysate calcium concentration, and plasma levels of albumin, potassium, magnesium, and glucose did not show any association with QTc interval. The multivariate regression analysis of selected variables (diabetes, age, cardiothoracic ratio, hemoglobin, corrected calcium, and phosphorus) showed that diabetes (p = 0.043) and the corrected calcium levels before HD session (p = 0.041) were independent predictors of QTc interval prolongation (Table 3).

[Figure omitted. See PDF.]

Table 2. Univariate analysis of various variables on QTc interval at 1 year after HD initiation.

https://doi.org/10.1371/journal.pone.0209297.t002

[Figure omitted. See PDF.]

Table 3. Multivariate regression analysis of selected variables on QTc interval at 1 year after HD initiation.

https://doi.org/10.1371/journal.pone.0209297.t003

Changes in QTc interval in HD patients and in control patients over several years

As shown in Fig 1A, average QTc interval at 1, 4, and 7 years after HD initiation were 437, 443, and 445 ms, respectively. QTc interval at 4 and 7 years after HD initiation were significantly longer (p<0.05) than that at 1 year after HD initiation. However, the QTc interval at 4 and 7 years after HD initiation showed no significant difference. On the other hand, average QTc interval at the first year and after an average of 6.3 years in the control group showed no significant difference (425 ms vs 426 ms; p = 0.569; Fig 1B), however, it was shorter than that in the HD group (p<0.001).

[Figure omitted. See PDF.]

Fig 1. Changes in QTc interval in hemodialysis (HD) group and control group.

(A) The QTc interval at 1 year, 4 years, and 7 years after HD initiation in the HD group was compared by Dunett type multiple comparison. (B) For comparison between the QTc interval at first year and after 6 years in the control group, a paired Student’s t test was used. The QTc interval at 1 year after HD initiation in the HD group was significantly longer than that at first year in the control group (p<0.001, an unpaired Student’s t test).

https://doi.org/10.1371/journal.pone.0209297.g001

Discussion

SCD is the leading cause of death in HD patients. Not only coronary artery disease and heart failure which are underlying pathogenic process in the general population, but also factors such as ventricular hypertrophy, electrolyte shift, and vascular calcification, may have important implications for SCD in HD patients [15]. The most common time for SCD to occur is during the last 24 hours of the longer weekend interdialytic period and during the 12 hours after the start of the first dialysis session of the week [16, 17]. SCD from the former is partly accounted for by the increase in fluid, electrolytes, and metabolites, while that from the latter may represent intradialytic risk of arrhythmia and the potential for subsequent fatal event during and immediately after a dialysis session. Recent reports showing the strong relationship between QTc interval and SCD in hypertrophic cardiomyopathy [18, 19] and the impact on QTc interval of vascular calcification which becomes more severe as the stage of CKD progresses [20], allowed us to believe the importance of QTc interval as risk assessment for SCD in HD patients.

We found that the average QTc interval in patients with ESRD at one year after HD initiation was longer as compared to that in patients with normal renal function. A previous study [12] has shown similar results, although the sample size and the way to measure QTc interval (manually vs automatically) were different. Recently, Sherif et al. investigated the impact of various stages of CKD on cardiac repolarization [13]. QTc interval was shown to increase with each successive stage of CKD, while the QTc interval in HD patients was not significantly different as compared to CKD stage 5 patients not on renal replacement therapy [13]. However, in our study, QTc interval at 4 and 7 years after HD initiation were significantly prolonged as compared to that at 1 year after HD initiation. We also found that average QTc interval in control patients did not change in the 6 years, suggesting that the change of QTc interval at 4 to 7 years after HD initiation in CKD patients is not thought to be expected with advancing age. The difference between previous findings [13] and our results can be attributed to differences in methodology and population characteristics. These findings suggest that cardiac repolarization abnormalities are progressive during subsequent stages of CKD and it is difficult for HD therapy to suppress the development of these abnormalities completely.

Reliability of QTc interval is a critical issue to be addressed. To date, numerous studies have utilized QT or QTc interval in drug trials or cardiological investigations. In many of them, QTc interval was divided into two gender-specific categories: normal and prolonged, however the cutoff points were to some extent arbitrary [6, 21–23]. In some papers, the cutoff points for women were 10 to 20 ms longer than those for men [6, 23, 24]. We analyzed QTc interval data as continuous variables without categorizing or gender classification. In the current study, the control group was female-dominant and the HD group was male-dominant. Considering that QTc interval tends to be longer in women than men [25], it does not seem to hinder our conclusion that ventricular repolarization duration was significantly longer in the HD group than in the control group. On the other hand, the two companies that provide most of the ECG machines in Japan apply different computerized algorithms to measure QT interval and different formulae for QTc interval. Although we recalculated the QTc interval data provided by Nihon Kohden to unify the formula into Bazett formula, the difference in algorithm to measure QT interval between the two companies could not be corrected. However, our results regarding the change of QTc interval over several years look more credible, because serial ECG data for each patient was provided by the same company’s machine.

Current analyses of clinically relevant variables on QTc interval at 1 year after HD initiation revealed that the corrected calcium levels before dialysis were a possible predictor of QTc interval prolongation. Several studies have suggested that a low calcium concentration of serum or dialysate and rapid reduction of serum calcium concentrations during HD session may lead to prolongation of QTc interval, possibly resulting in SCD [11, 23, 26]. Alternatively, because serum ionized calcium levels regulate the contractility of cardiac myocytes and vascular smooth muscle, hypocalcemia or rapid lowering of serum calcium levels during dialysis may contribute to hypotension and reduction of coronary blood flow and subsequent fatal myocardial ischemia. Previously, Pun et al reported that patients who received HD with a dialysate concentration of calcium <2.5 mEq/L had a higher risk of SCD than patients treated with higher dialysate calcium concentrations [27]. Although in the present study, no significant difference was seen in QTc interval among patients with different dialysate calcium concentrations (Table 2), dialysate with a higher calcium concentration might be recommended in patients with prolonged QTc intervals, while avoiding hypercalcemia and ectopic calcification.

In the current study, diabetes as a cause of ESRD also has a possible association with QTc prolongation. SCD in patients with diabetes mellitus is known as the “dead in bed” syndrome [28]. Because an independent association between hypoglycemia and QTc prolongation was demonstrated in a large epidemiologic study on type 1 diabetes [22], the “dead in bed” syndrome is believed to be a result of arrhythmia, caused by nocturnal hypoglycemia leading to QT prolongation followed by ventricular tachyarrhythmia. Considering the fact that patients undergoing HD may become hypoglycemic without being aware of it [29], it might be realistic for HD patients, particularly those with diabetes, to have SCD due to the arrhythmogenic effect of QT prolongation by hypoglycemia along with low serum calcium and potassium levels after HD sessions [30].

In conclusion, our study showed that average QTc interval in patients with CKD at 1 year after HD initiation were already long and it was further prolonged with dialysis vintage. In baseline analyses, diabetes and lower plasma calcium levels before dialysis were independently associated with QTc interval prolongation. Thus, close attention to QTc interval during the clinical management of HD patients might be helpful in reducing the mortality due to SCD; however, larger-scale studies are necessary to confirm our results.

Supporting information

[Figure omitted. See PDF.]

S1 Table. Inclusion and exclusion criteria in hemodialysis patients.

https://doi.org/10.1371/journal.pone.0209297.s001

(PDF)

S2 Table. Details of multivariate regression analysis of selected variables on QTc interval at 1 year after HD initiation.

https://doi.org/10.1371/journal.pone.0209297.s002

(PDF)

S3 Table. Source data on which Fig 1 is based.

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(PDF)

Acknowledgments

The authors really appreciate the support provided by Mr. Kazuaki Yoshimura (Shibukawa Clinic), Mr. Hozaki Daisuke (Ohtemachi Clinic), Dr. Takeshi Ishida (Yachu-Jin Clinic), and Dr. Yukio Matsumoto (Sugano Clinic).

Language editing support was provided by Editage (www.editage.com), a division of Cactus Communications.

Citation: Matsumoto Y, Mori Y, Kageyama S, Arihara K, Sato H, Nagata K, et al. (2019) Changes in QTc interval in long-term hemodialysis patients. PLoS ONE 14(1): e0209297. https://doi.org/10.1371/journal.pone.0209297

References

1. Pun PH, Middleton JP. Sudden cardiac death in hemodialysis patients: a comprehensive care approach to reduce risk. Blood Purif. 2012;33(1–3):183–9. pmid:22269796

2. Baigent C, Landray MJ, Reith C, Emberson J, Wheeler DC, Tomson C, et al. The effects of lowering LDL cholesterol with simvastatin plus ezetimibe in patients with chronic kidney disease (Study of Heart and Renal Protection): a randomised placebo-controlled trial. Lancet. 2011;377(9784):2181–92. pmid:21663949

3. Herzog CA, Mangrum JM, Passman R. Sudden cardiac death and dialysis patients. Semin Dial. 2008;21(4):300–7. pmid:18627568

4. Wong MCG, Kalman JM, Pedagogos E, Toussaint N, Vohra JK, Sparks PB, et al. Bradycardia and asystole is the predominant mechanism of sudden cardiac death in patients with chronic kidney disease: J Am Coll Cardiol. 2015 Mar 31;65(12):1263–1265. pmid:25814235

5. Vrtovec B, Knezevic I, Poglajen G, Sebestjen M, Okrajsek R, Haddad F. Relation of B-type natriuretic peptide level in heart failure to sudden cardiac death in patients with and without QT interval prolongation. Am J Cardiol. 2013;111(6):886–90. pmid:23273526

6. Straus SM, Kors JA, De Bruin ML, van der Hooft CS, Hofman A, Heeringa J, et al. Prolonged QTc interval and risk of sudden cardiac death in a population of older adults. J Am Coll Cardiol. 2006;47(2):362–7. pmid:16412861

7. Gopalakrishnan M, Hassan A, Villines D, Nasr S, Chandrasekaran M, Klein LW. Predictors of short- and long-term outcomes of Takotsubo cardiomyopathy. Am J Cardiol. 2015;116(10):1586–90. pmid:26431577

8. Rossing P, Breum L, Major-Pedersen A, Sato A, Winding H, Pietersen A, et al. Prolonged QTc interval predicts mortality in patients with Type 1 diabetes mellitus. Diabet Med. 2001;18(3):199–205. pmid:11318840

9. Genovesi S, Rossi E, Nava M, Riva H, De Franceschi S, Fabbrini P, et al. A case series of chronic haemodialysis patients: mortality, sudden death, and QT interval. Europace. 2013;15(7):1025–33. pmid:23284142

10. Genovesi S, Rivera R, Fabbrini P, Dossi C, Bonforte G, Mircoli L, et al. Dynamic QT interval analysis in uraemic patients receiving chronic haemodialysis. J Hypertens. 2003;21(10):1921–6. pmid:14508199

11. Severi S, Grandi E, Pes C, Badiali F, Grandi F, Santoro A. Calcium and potassium changes during haemodialysis alter ventricular repolarization duration: in vivo and in silico analysis. Nephrol Dial Transplant. 2008;23(4):1378–86. pmid:18045821

12. Suzuki R, Tsumura K, Inoue T, Kishimoto H, Morii H. QT interval prolongation in the patients receiving maintenance hemodialysis. Clin Nephrol. 1998;49(4):240–4. pmid:9582555

13. Sherif KA, Abo-Salem E, Panikkath R, Nusrat M, Tuncel M. Cardiac repolarization abnormalities among patients with various stages of chronic kidney disease. Clin Cardiol. 2014;37(7):417–21. pmid:25043948

14. Payne RB, Little AJ, Williams RB, Milner JR. Interpretation of serum calcium in patients with abnormal serum proteins. Br Med J. 1973;4(5893):643–6. pmid:4758544

15. Green D, Roberts PR, New DI, Kalra PA. Sudden cardiac death in hemodialysis patients: an in-depth review. Am J Kidney Dis. 2011;57(6):921–9. pmid:21496983

16. Genovesi S, Valsecchi MG, Rossi E, Pogliani D, Acquistapace I, De Cristofaro V, et al. Sudden death and associated factors in a historical cohort of chronic haemodialysis patients. Nephrol Dial Transplant. 2009;24(8):2529–36. pmid:19293137

17. Bleyer AJ, Hartman J, Brannon PC, Reeves-Daniel A, Satko SG, Russell G. Characteristics of sudden death in hemodialysis patients. Kidney Int. 2006;69(12):2268–73. pmid:16672908

18. Patel SI, Ackerman MJ, Shamoun FE, Geske JB, Ommen SR, Love WT, et al. QT prolongation and sudden cardiac death risk in hypertrophic cardiomyopathy. Acta Cardiol. 2018;7:1–6.

19. Gray B, Ingles J, Medi C, Semsarian C. Prolongation of the QTc interval predicts appropriate implantable cardioverter-defibrillator therapies in hypertrophic cardiomyopathy. JACC Heart Fail. 2013;1(2):149–55. pmid:24621839

20. Claes KJ, Heye S, Nuyens D, Bammens B, Kuypers DR, Vanrenterghem Y, et al. Impact of vascular calcification on corrected QT interval at the time of renal transplantation. Am J Nephrol. 2012;35(1):24–30. pmid:22143191

21. Elming H, Holm E, Jun L, Torp-Pedersen C, Kober L, Kircshoff M, et al. The prognostic value of the QT interval and QT interval dispersion in all-cause and cardiac mortality and morbidity in a population of Danish citizens. European heart journal. 1998;19(9):1391–400. pmid:9792266

22. Gruden G, Giunti S, Barutta F, Chaturvedi N, Witte DR, Tricarico M, et al. QTc interval prolongation is independently associated with severe hypoglycemic attacks in type 1 diabetes from the EURODIAB IDDM complications study. Diabetes Care. 2012;35(1):125–7. pmid:22124713

23. Nie Y, Zou J, Liang Y, Shen B, Liu Z, Cao X, et al. Electrocardiographic Abnormalities and QTc Interval in Patients Undergoing Hemodialysis. PLoS One. 2016;11(5).

24. Thomson BK, Momciu B, Huang SH, Chan CT, Urquhart BL, Skanes AC, et al. Frequent nocturnal hemodialysis associates with improvement of prolonged QTc intervals. Nephron Clin Pract. 2013;123(1–2):74–82. pmid:23860412

25. Burke JH, Ehlert FA, Kruse JT, Parker MA, Goldberger JJ, Kadish AH. Gender-specific differences in the QT interval and the effect of autonomic tone and menstrual cycle in healthy adults. Am J Cardiol. 1997;79(2):178–81. pmid:9193019

26. Genovesi S, Dossi C, Vigano MR, Galbiati E, Prolo F, Stella A, et al. Electrolyte concentration during haemodialysis and QT interval prolongation in uraemic patients. Europace. 2008;10(6):771–7. pmid:18287086

27. Pun PH, Lehrich RW, Honeycutt EF, Herzog CA, Middleton JP. Modifiable risk factors associated with sudden cardiac arrest within hemodialysis clinics. Kidney Int. 2011;79(2):218–27. Epub 2010/09/03. pmid:20811332.

28. Gill GV, Woodward A, Casson IF, Weston PJ. Cardiac arrhythmia and nocturnal hypoglycaemia in type 1 diabetes—the 'dead in bed' syndrome revisited. Diabetologia. 2009;52(1):42–5. pmid:18972096

29. Jackson MA, Holland MR, Nicholas J, Lodwick R, Forster D, Macdonald IA. Hemodialysis-induced hypoglycemia in diabetic patients. Clin Nephrol. 2000;54(1):30–4. pmid:10939754

30. Alabd MA, El-Hammady W, Shawky A, Nammas W, El-Tayeb M. QT Interval and QT Dispersion in Patients Undergoing Hemodialysis: Revisiting the Old Theory. Nephron Extra. 2011;1(1):1–8. pmid:22470374