Prevalence of electrocardiographic abnormalities in patients with chronic kidney disease

Louis Nygaard Pedersen; Nicholas Carlson; Karl-Emil Nelveg-Kristensen; Jesper Moesgaard Rantanen; Bo Madsen; Claus Graff; Jonas Nielsen; Adrian Pietersen; Christian Torp; Sam Riahi; My Svensson; Jon Waarst Gregersen; Christoffer Polcwiartek

doi:10.1093/ndt/gfad063c_4750

Prevalence of electrocardiographic abnormalities in patients with chronic kidney disease

Louis Nygaard Pedersen, Nicholas Carlson, Karl-Emil Nelveg-Kristensen, Jesper Moesgaard Rantanen, Bo Madsen, Claus Graff, Jonas Nielsen, Adrian Pietersen, Christian Torp, Sam Riahi, My Svensson, Jon Waarst Gregersen, Christoffer Polcwiartek

Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

Abstract

The presence of electrocardiogram (ECG) abnormalities is high in patients with end-stage kidney disease, but no studies have examined the prevalence of ECG abnormalities according to different strata of estimated glomerular filtration rate (eGFR) in a population-based setting.This was a retrospective cross-sectional study including 310,060 individuals from the Copenhagen General Practitioners' Laboratory who had an available digital ECG recorded between 2001 and 2015 and a creatinine measurement within 7 days of the ECG. eGFR was calculated using the The Chronic Kidney Disease Epidemiology Collaboration equation. ECG abnormalities were categorized as no, minor or major, as done previously [1]. Patients with both minor and major ECG abnormalities were assigned as major ECG abnormalities. The prevalence of ECG abnormalities was examined according to different strata of renal function [eGFR (ml/min/1.73 m2) \gt;90, 61–90, 46–60, 31–45, 30-16 and ≤15]. Ordinal logistic regression was used to illustrate the probability of ECG abnormalities as a function of eGFR.The median age was 55 [IQR, 41-69] years and 46\7,249 (17.9\ of the included patients had an eGFR \lt;60. The prevalence of major ECG abnormalities increased with declining eGFR: \gt;90 (16.5\, 61–90 (21.6\, 46–60 (36.5\ 31–45 (52.1\, 30-16 (57.9\ and ≤15 (60.1\. In ordinal logistic regression, the risk of having major ECG abnormalities compared to minor/no abnormalities significantly decreased pr. 5 ml/min increase in eGFR, OR 0.90 (95\ 0.85-0.90), Fig. 1. The most common major ECG abnormalities were left ventricular hypertrophy and ST-T deviations. The prevalence of all ECG abnormalities is shown in Table 1.Figure 1:Predicted probability of ECG abnormalities according to eGFR.Table 1:Prevalence of ECG abnormalities.eGFR (ml/min/1.73 m2)\gt;90n = 105,10561-90n = 153,98446-60n = 36,20931-45n = 11,60616-30n = 2732≤15n = 424Age, yrs (median, iqr)42 (30-53)57 (46-68)75 (66-82)83 (76-88)84 (78-89)82 (70-89)Males53,221 (50.6)73,157 (47.5)11,630 (32.1)3504 (30.2)962 (35.2)197 (46.5)Heart rate, bpm (median, iqr)69 (61-78)69 (61-78)72 (63-82)73 (64-84)73 (64-85)76 (66-86)No ECG abnormality82,968 (78.9)111,962 (72.7)20,717 (57.2)4714 (40.6)901 (33.0)132 (31.1)Minor ECG abnormality4782 (4.5)8744 (5.7)2280 (6.3)846 (7.3)248 (9.1)37 (8.7) First-degree atrioventricular block1736 (1.7)5748 (3.7)2628 (7.3)1306 (11.3)385 (14.1)63 (14.9) Incomplete bundle branch block2420 (2.3)3734 (2.4)790 (2.2)260 (2.2)75 (2.7)9 (2.1) Left fascicular block1212 (1.2)1836 (1.2)649 (1.8)260 (2.2)63 (2.3)18 (4.2) QTcF prolongation1854 (1.8)5554 (3.6)2212 (6.1)1141 (9.8)385 (14.1)79 (18.6)Major ECG abnormality17,355 (16.5)33,278 (21.6)13,212 (36.5)6046 (52.1)1583 (57.9)255 (60.1) Left ventricular hyperthrophy9822 (9.3)14,438 (9.4)4930 (13.6)2061 (17.8)535 (19.6)100 (23.6) Atrial fibrillation663 (0.6)4257 (2.8)2907 (8.0)1628 (14.0)428 (15.7)54 (12.7) Bundle branch block1160 (1.1)4663 (3.0)2412 (6.7)1324 (11.4)380 (13.9)54 (12.7) Intraventricular conduction disorder725 (0.7)1149 (0.7)322 (0.9)171 (1.5)48 (1.8)10 (2.4) Q waves3560 (3.4)8115 (5.3)2911 (8.0)1186 (10.2)293 (10.7)40 (9.4) ST-T deviations2802 (2.7)5729 (3.7)3247 (9.0)1853 (16.0)552 (20.2)86 (20.3)ECG abnormalities are common in patients with chronic kidney disease, and the probability of major ECG abnormalities increases with declining eGFR.

Original language	English
Article number	gfad063c_4750
Journal	Nephrology, Dialysis, Transplantation
Volume	38
Issue number	Supplement_1
Pages (from-to)	i589-i590
Number of pages	2
ISSN	0931-0509
DOIs	https://doi.org/10.1093/ndt/gfad063c_4750
Publication status	Published - Jun 2023
Event	60th ERA Congress: Leading European Nephrology - MiCo – Milano Convention Centre Viale Eginardo, 7, GATE 2 20149 Milan, Italy, Milan, Italy Duration: 15 Jun 2023 → 18 Jun 2023 Conference number: 60 https://www.era-online.org/events/milan-2023/

Conference

Conference	60th ERA Congress
Number	60
Location	MiCo – Milano Convention Centre Viale Eginardo, 7, GATE 2 20149 Milan, Italy
Country/Territory	Italy
City	Milan
Period	15/06/2023 → 18/06/2023
Internet address	https://www.era-online.org/events/milan-2023/

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Pedersen, L. N., Carlson, N., Nelveg-Kristensen, K-E., Rantanen, J. M., Madsen, B., Graff, C., Nielsen, J., Pietersen, A., Torp, C., Riahi, S., Svensson, M., Gregersen, J. W., & Polcwiartek, C. (2023). Prevalence of electrocardiographic abnormalities in patients with chronic kidney disease. Nephrology, Dialysis, Transplantation, 38(Supplement_1), i589-i590. Article gfad063c_4750. https://doi.org/10.1093/ndt/gfad063c_4750

@article{4592bb998ea342fba9ed1b9968102189,

title = "Prevalence of electrocardiographic abnormalities in patients with chronic kidney disease",

abstract = "The presence of electrocardiogram (ECG) abnormalities is high in patients with end-stage kidney disease, but no studies have examined the prevalence of ECG abnormalities according to different strata of estimated glomerular filtration rate (eGFR) in a population-based setting.This was a retrospective cross-sectional study including 310,060 individuals from the Copenhagen General Practitioners' Laboratory who had an available digital ECG recorded between 2001 and 2015 and a creatinine measurement within 7 days of the ECG. eGFR was calculated using the The Chronic Kidney Disease Epidemiology Collaboration equation. ECG abnormalities were categorized as no, minor or major, as done previously [1]. Patients with both minor and major ECG abnormalities were assigned as major ECG abnormalities. The prevalence of ECG abnormalities was examined according to different strata of renal function [eGFR (ml/min/1.73 m2) \gt;90, 61–90, 46–60, 31–45, 30-16 and ≤15]. Ordinal logistic regression was used to illustrate the probability of ECG abnormalities as a function of eGFR.The median age was 55 [IQR, 41-69] years and 46\7,249 (17.9\ of the included patients had an eGFR \lt;60. The prevalence of major ECG abnormalities increased with declining eGFR: \gt;90 (16.5\, 61–90 (21.6\, 46–60 (36.5\ 31–45 (52.1\, 30-16 (57.9\ and ≤15 (60.1\. In ordinal logistic regression, the risk of having major ECG abnormalities compared to minor/no abnormalities significantly decreased pr. 5 ml/min increase in eGFR, OR 0.90 (95\ 0.85-0.90), Fig. 1. The most common major ECG abnormalities were left ventricular hypertrophy and ST-T deviations. The prevalence of all ECG abnormalities is shown in Table 1.Figure 1:Predicted probability of ECG abnormalities according to eGFR.Table 1:Prevalence of ECG abnormalities.eGFR (ml/min/1.73 m2)\gt;90n = 105,10561-90n = 153,98446-60n = 36,20931-45n = 11,60616-30n = 2732≤15n = 424Age, yrs (median, iqr)42 (30-53)57 (46-68)75 (66-82)83 (76-88)84 (78-89)82 (70-89)Males53,221 (50.6)73,157 (47.5)11,630 (32.1)3504 (30.2)962 (35.2)197 (46.5)Heart rate, bpm (median, iqr)69 (61-78)69 (61-78)72 (63-82)73 (64-84)73 (64-85)76 (66-86)No ECG abnormality82,968 (78.9)111,962 (72.7)20,717 (57.2)4714 (40.6)901 (33.0)132 (31.1)Minor ECG abnormality4782 (4.5)8744 (5.7)2280 (6.3)846 (7.3)248 (9.1)37 (8.7) First-degree atrioventricular block1736 (1.7)5748 (3.7)2628 (7.3)1306 (11.3)385 (14.1)63 (14.9) Incomplete bundle branch block2420 (2.3)3734 (2.4)790 (2.2)260 (2.2)75 (2.7)9 (2.1) Left fascicular block1212 (1.2)1836 (1.2)649 (1.8)260 (2.2)63 (2.3)18 (4.2) QTcF prolongation1854 (1.8)5554 (3.6)2212 (6.1)1141 (9.8)385 (14.1)79 (18.6)Major ECG abnormality17,355 (16.5)33,278 (21.6)13,212 (36.5)6046 (52.1)1583 (57.9)255 (60.1) Left ventricular hyperthrophy9822 (9.3)14,438 (9.4)4930 (13.6)2061 (17.8)535 (19.6)100 (23.6) Atrial fibrillation663 (0.6)4257 (2.8)2907 (8.0)1628 (14.0)428 (15.7)54 (12.7) Bundle branch block1160 (1.1)4663 (3.0)2412 (6.7)1324 (11.4)380 (13.9)54 (12.7) Intraventricular conduction disorder725 (0.7)1149 (0.7)322 (0.9)171 (1.5)48 (1.8)10 (2.4) Q waves3560 (3.4)8115 (5.3)2911 (8.0)1186 (10.2)293 (10.7)40 (9.4) ST-T deviations2802 (2.7)5729 (3.7)3247 (9.0)1853 (16.0)552 (20.2)86 (20.3)ECG abnormalities are common in patients with chronic kidney disease, and the probability of major ECG abnormalities increases with declining eGFR.",

author = "Pedersen, {Louis Nygaard} and Nicholas Carlson and Karl-Emil Nelveg-Kristensen and Rantanen, {Jesper Moesgaard} and Bo Madsen and Claus Graff and Jonas Nielsen and Adrian Pietersen and Christian Torp and Sam Riahi and My Svensson and Gregersen, {Jon Waarst} and Christoffer Polcwiartek",

year = "2023",

month = jun,

doi = "10.1093/ndt/gfad063c_4750",

language = "English",

volume = "38",

pages = "i589--i590",

journal = "Nephrology, Dialysis, Transplantation",

issn = "0931-0509",

publisher = "Oxford University Press",

number = "Supplement_1",

note = "60th ERA Congress ; Conference date: 15-06-2023 Through 18-06-2023",

url = "https://www.era-online.org/events/milan-2023/",

}

Pedersen, LN, Carlson, N, Nelveg-Kristensen, K-E, Rantanen, JM , Madsen, B , Graff, C, Nielsen, J, Pietersen, A, Torp, C , Riahi, S , Svensson, M , Gregersen, JW & Polcwiartek, C 2023, 'Prevalence of electrocardiographic abnormalities in patients with chronic kidney disease', Nephrology, Dialysis, Transplantation, vol. 38, no. Supplement_1, gfad063c_4750, pp. i589-i590. https://doi.org/10.1093/ndt/gfad063c_4750

Prevalence of electrocardiographic abnormalities in patients with chronic kidney disease. / Pedersen, Louis Nygaard; Carlson, Nicholas; Nelveg-Kristensen, Karl-Emil et al.
In: Nephrology, Dialysis, Transplantation, Vol. 38, No. Supplement_1, gfad063c_4750, 06.2023, p. i589-i590.

Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

TY - ABST

T1 - Prevalence of electrocardiographic abnormalities in patients with chronic kidney disease

AU - Pedersen, Louis Nygaard

AU - Carlson, Nicholas

AU - Nelveg-Kristensen, Karl-Emil

AU - Rantanen, Jesper Moesgaard

AU - Madsen, Bo

AU - Graff, Claus

AU - Nielsen, Jonas

AU - Pietersen, Adrian

AU - Torp, Christian

AU - Riahi, Sam

AU - Svensson, My

AU - Gregersen, Jon Waarst

AU - Polcwiartek, Christoffer

N1 - Conference code: 60

PY - 2023/6

Y1 - 2023/6

N2 - The presence of electrocardiogram (ECG) abnormalities is high in patients with end-stage kidney disease, but no studies have examined the prevalence of ECG abnormalities according to different strata of estimated glomerular filtration rate (eGFR) in a population-based setting.This was a retrospective cross-sectional study including 310,060 individuals from the Copenhagen General Practitioners' Laboratory who had an available digital ECG recorded between 2001 and 2015 and a creatinine measurement within 7 days of the ECG. eGFR was calculated using the The Chronic Kidney Disease Epidemiology Collaboration equation. ECG abnormalities were categorized as no, minor or major, as done previously [1]. Patients with both minor and major ECG abnormalities were assigned as major ECG abnormalities. The prevalence of ECG abnormalities was examined according to different strata of renal function [eGFR (ml/min/1.73 m2) \gt;90, 61–90, 46–60, 31–45, 30-16 and ≤15]. Ordinal logistic regression was used to illustrate the probability of ECG abnormalities as a function of eGFR.The median age was 55 [IQR, 41-69] years and 46\7,249 (17.9\ of the included patients had an eGFR \lt;60. The prevalence of major ECG abnormalities increased with declining eGFR: \gt;90 (16.5\, 61–90 (21.6\, 46–60 (36.5\ 31–45 (52.1\, 30-16 (57.9\ and ≤15 (60.1\. In ordinal logistic regression, the risk of having major ECG abnormalities compared to minor/no abnormalities significantly decreased pr. 5 ml/min increase in eGFR, OR 0.90 (95\ 0.85-0.90), Fig. 1. The most common major ECG abnormalities were left ventricular hypertrophy and ST-T deviations. The prevalence of all ECG abnormalities is shown in Table 1.Figure 1:Predicted probability of ECG abnormalities according to eGFR.Table 1:Prevalence of ECG abnormalities.eGFR (ml/min/1.73 m2)\gt;90n = 105,10561-90n = 153,98446-60n = 36,20931-45n = 11,60616-30n = 2732≤15n = 424Age, yrs (median, iqr)42 (30-53)57 (46-68)75 (66-82)83 (76-88)84 (78-89)82 (70-89)Males53,221 (50.6)73,157 (47.5)11,630 (32.1)3504 (30.2)962 (35.2)197 (46.5)Heart rate, bpm (median, iqr)69 (61-78)69 (61-78)72 (63-82)73 (64-84)73 (64-85)76 (66-86)No ECG abnormality82,968 (78.9)111,962 (72.7)20,717 (57.2)4714 (40.6)901 (33.0)132 (31.1)Minor ECG abnormality4782 (4.5)8744 (5.7)2280 (6.3)846 (7.3)248 (9.1)37 (8.7) First-degree atrioventricular block1736 (1.7)5748 (3.7)2628 (7.3)1306 (11.3)385 (14.1)63 (14.9) Incomplete bundle branch block2420 (2.3)3734 (2.4)790 (2.2)260 (2.2)75 (2.7)9 (2.1) Left fascicular block1212 (1.2)1836 (1.2)649 (1.8)260 (2.2)63 (2.3)18 (4.2) QTcF prolongation1854 (1.8)5554 (3.6)2212 (6.1)1141 (9.8)385 (14.1)79 (18.6)Major ECG abnormality17,355 (16.5)33,278 (21.6)13,212 (36.5)6046 (52.1)1583 (57.9)255 (60.1) Left ventricular hyperthrophy9822 (9.3)14,438 (9.4)4930 (13.6)2061 (17.8)535 (19.6)100 (23.6) Atrial fibrillation663 (0.6)4257 (2.8)2907 (8.0)1628 (14.0)428 (15.7)54 (12.7) Bundle branch block1160 (1.1)4663 (3.0)2412 (6.7)1324 (11.4)380 (13.9)54 (12.7) Intraventricular conduction disorder725 (0.7)1149 (0.7)322 (0.9)171 (1.5)48 (1.8)10 (2.4) Q waves3560 (3.4)8115 (5.3)2911 (8.0)1186 (10.2)293 (10.7)40 (9.4) ST-T deviations2802 (2.7)5729 (3.7)3247 (9.0)1853 (16.0)552 (20.2)86 (20.3)ECG abnormalities are common in patients with chronic kidney disease, and the probability of major ECG abnormalities increases with declining eGFR.

AB - The presence of electrocardiogram (ECG) abnormalities is high in patients with end-stage kidney disease, but no studies have examined the prevalence of ECG abnormalities according to different strata of estimated glomerular filtration rate (eGFR) in a population-based setting.This was a retrospective cross-sectional study including 310,060 individuals from the Copenhagen General Practitioners' Laboratory who had an available digital ECG recorded between 2001 and 2015 and a creatinine measurement within 7 days of the ECG. eGFR was calculated using the The Chronic Kidney Disease Epidemiology Collaboration equation. ECG abnormalities were categorized as no, minor or major, as done previously [1]. Patients with both minor and major ECG abnormalities were assigned as major ECG abnormalities. The prevalence of ECG abnormalities was examined according to different strata of renal function [eGFR (ml/min/1.73 m2) \gt;90, 61–90, 46–60, 31–45, 30-16 and ≤15]. Ordinal logistic regression was used to illustrate the probability of ECG abnormalities as a function of eGFR.The median age was 55 [IQR, 41-69] years and 46\7,249 (17.9\ of the included patients had an eGFR \lt;60. The prevalence of major ECG abnormalities increased with declining eGFR: \gt;90 (16.5\, 61–90 (21.6\, 46–60 (36.5\ 31–45 (52.1\, 30-16 (57.9\ and ≤15 (60.1\. In ordinal logistic regression, the risk of having major ECG abnormalities compared to minor/no abnormalities significantly decreased pr. 5 ml/min increase in eGFR, OR 0.90 (95\ 0.85-0.90), Fig. 1. The most common major ECG abnormalities were left ventricular hypertrophy and ST-T deviations. The prevalence of all ECG abnormalities is shown in Table 1.Figure 1:Predicted probability of ECG abnormalities according to eGFR.Table 1:Prevalence of ECG abnormalities.eGFR (ml/min/1.73 m2)\gt;90n = 105,10561-90n = 153,98446-60n = 36,20931-45n = 11,60616-30n = 2732≤15n = 424Age, yrs (median, iqr)42 (30-53)57 (46-68)75 (66-82)83 (76-88)84 (78-89)82 (70-89)Males53,221 (50.6)73,157 (47.5)11,630 (32.1)3504 (30.2)962 (35.2)197 (46.5)Heart rate, bpm (median, iqr)69 (61-78)69 (61-78)72 (63-82)73 (64-84)73 (64-85)76 (66-86)No ECG abnormality82,968 (78.9)111,962 (72.7)20,717 (57.2)4714 (40.6)901 (33.0)132 (31.1)Minor ECG abnormality4782 (4.5)8744 (5.7)2280 (6.3)846 (7.3)248 (9.1)37 (8.7) First-degree atrioventricular block1736 (1.7)5748 (3.7)2628 (7.3)1306 (11.3)385 (14.1)63 (14.9) Incomplete bundle branch block2420 (2.3)3734 (2.4)790 (2.2)260 (2.2)75 (2.7)9 (2.1) Left fascicular block1212 (1.2)1836 (1.2)649 (1.8)260 (2.2)63 (2.3)18 (4.2) QTcF prolongation1854 (1.8)5554 (3.6)2212 (6.1)1141 (9.8)385 (14.1)79 (18.6)Major ECG abnormality17,355 (16.5)33,278 (21.6)13,212 (36.5)6046 (52.1)1583 (57.9)255 (60.1) Left ventricular hyperthrophy9822 (9.3)14,438 (9.4)4930 (13.6)2061 (17.8)535 (19.6)100 (23.6) Atrial fibrillation663 (0.6)4257 (2.8)2907 (8.0)1628 (14.0)428 (15.7)54 (12.7) Bundle branch block1160 (1.1)4663 (3.0)2412 (6.7)1324 (11.4)380 (13.9)54 (12.7) Intraventricular conduction disorder725 (0.7)1149 (0.7)322 (0.9)171 (1.5)48 (1.8)10 (2.4) Q waves3560 (3.4)8115 (5.3)2911 (8.0)1186 (10.2)293 (10.7)40 (9.4) ST-T deviations2802 (2.7)5729 (3.7)3247 (9.0)1853 (16.0)552 (20.2)86 (20.3)ECG abnormalities are common in patients with chronic kidney disease, and the probability of major ECG abnormalities increases with declining eGFR.

U2 - 10.1093/ndt/gfad063c_4750

DO - 10.1093/ndt/gfad063c_4750

M3 - Conference abstract in journal

SN - 0931-0509

VL - 38

SP - i589-i590

JO - Nephrology, Dialysis, Transplantation

JF - Nephrology, Dialysis, Transplantation

IS - Supplement_1

M1 - gfad063c_4750

T2 - 60th ERA Congress

Y2 - 15 June 2023 through 18 June 2023

ER -