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Journal of Arrhythmia logoLink to Journal of Arrhythmia
. 2021 Jan 12;37(2):438–444. doi: 10.1002/joa3.12501

Detection of cardiac involvement in pulmonary sarcoidosis using high‐resolution Holter electrocardiogram

Yujin Maru 1, Kenji Yodogawa 1,, Toru Tanaka 2, Takeru Kashiwada 2, Yu‐ki Iwasaki 1, Arata Azuma 2, Wataru Shimizu 1
PMCID: PMC8022007  PMID: 33850586

Abstract

Background

Early detection of cardiac involvement in patients with sarcoidosis is important but currently unresolved. The aim of this study was to elucidate the utility of frequency domain microvolt T‐wave alternans (TWA), signal‐averaged ECG (SAECG), and heart rate turbulence (HRT) using 24‐hour Holter ECG for detecting cardiac involvement in patients with pulmonary sarcoidosis.

Methods

This study consisted of consecutive 40 pulmonary sarcoidosis patients (11 males, 62 ± 13 years) who underwent 24‐hour Holter monitoring with and without cardiac involvement. All patients underwent frequency domain TWA, SAECG, and HRT using 24‐hour Holter monitoring. Patients with atrial fibrillation pacing or wide QRS electrocardiogram were excluded.

Results

After 14 patients were excluded, a total of 26 patients (six males, 59 ± 14 years) were evaluated. Seven patients had cardiac involvement (cardiac sarcoidosis [CS] group). On the Holter SAECG, duration of low‐amplitude signals <40 μV in the terminal filtered QRS complex (LAS40) was significantly higher, and root mean square voltage of the terminal 40 ms of the filtered QRS complex (RMS40) was significantly lower in the CS group compared with the non‐CS group (LAS40: 61.4 ± 35.9 vs 37.6 ± 9.2 ms; P = .018, RMS40: 11.4 ± 10.3 vs 23.6 ± 13.2 ms; P = .023). Prevalence of positive late potential (LP) was also significantly higher in the CS group than that in the non‐CS group (85.7% vs 31.5%; P = .026). The sensitivity, specificity, positive, and negative predictive values of LP for identifying patients with cardiac involvement were 85.7%, 68.4%, 50.0%, and 92.8%, respectively.

Conclusion

Holter SAECG may be useful for detecting cardiac involvement in patients with pulmonary sarcoidosis.

Keywords: Holter monitoring, risk assessment, sarcoidosis, signal‐averaged electrocardiography


Holter‐based signal‐averaged ECG showed high prevalence of positive late potentials (LP) in cardiac sarcoidosis (CS) patients.

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1. INTRODUCTION

Sarcoidosis is an idiopathic granulomatous disease involving multiple organs. 1 Although most patients have a relatively good prognosis, heart involvement often confers a poor prognosis after the development of atrioventricular block, lethal ventricular arrhythmias, and refractory heart failure. Therefore, early detection of cardiac involvement in sarcoidosis is important but is currently unresolved. We have previously reported a high prevalence of ventricular late potentials (LPs) on signal‐averaged electrocardiography (SAECG) in patients with pulmonary sarcoidosis, and its association to cardiac events. 2 , 3 However, the utility of other noninvasive tests, such as microvolt T‐wave alternans (TWA) and heart rate turbulence (HRT), has not yet been explored. A high‐resolution Holter ECG which can measure TWA, SAECG, and HRT simultaneously has recently been developed. 4 The present study aimed to investigate the diagnostic value of TWA, SAECG, and HRT measured from 24‐hour Holter ECG recordings for cardiac involvement in patients with pulmonary sarcoidosis.

2. METHODS

We retrospectively studied consecutive 40 patients (11 males, 62 ± 13 years) with pulmonary sarcoidosis who underwent 24‐hour ambulatory Holter monitoring that could analyze TWA, LPs, and HRT. All patients were referred to our hospital from April 1, 2014 to December 31, 2017. Seventeen patients had known cardiac involvement, and the remaining 23 patients were referred to the department of cardiovascular medicine for further examination of cardiac involvement. The diagnosis of pulmonary sarcoidosis was certified based on fiber‐optic bronchoscopy finding of epithelioid, noncaseating granuloma without necrosis. The diagnosis of cardiac sarcoidosis (CS) was based on the Heart Rhythm Society (HRS) consensus criteria. 5 Patients with atrial fibrillation, atrial or ventricular pacing, wide QRS (≧120 msec) electrocardiogram including complete right bundle branch block (CRBBB), complete left bundle branch block (CLBBB), and nonspecific intraventricular conduction delay (NIVCD) were excluded from the present study. After applying the exclusion criteria, 14 patients were excluded because of pacing (n = 4) or wide QRS complex (n = 10) (Figure 1). A total of 26 patients (six males, 59 ± 14 years) were evaluated. Seven patients had cardiac involvement (CS group), in whom three patients had known cardiac involvement, and the remaining four patients were diagnosed with CS subsequently. From 12‐lead ECG, Selvester QRS score was manually calculated by two expert cardiologists, as previously reported. 6 Data from 24‐hour continuous ambulatory digital Holter ECG (FM‐180, Fukuda Denshi Co., Ltd.) recordings were measured for specific ECG markers including TWA, LP, and HRT, using a commercial system (SCM‐8000; Fukuda Denshi Co., Ltd., Tokyo, Japan).

FIGURE 1.

FIGURE 1

Flow diagram showing the selection of the study population. CS, cardiac sarcoidosis; NIVCD, nonspecific intraventricular conduction delay; RBBB, right bundle branch block

LPs were automatically analyzed every 30 minutes for 24 hours. The orthogonal Frank X, Y, and Z leads were recorded, and the signals were amplified, digitized, averaged, and filtered with a high‐pass filter at 40 Hz. The filtered QRS duration (f‐QRS), the root mean square voltage of the terminal 40 ms (RMS40) in the f‐QRS complex, and the duration of low‐amplitude signals <40 mV (LAS40) in the terminal f‐QRS complex were measured at the smallest value of RMS40. LPs were considered to be positive when two of three criteria (fQRS > 135 ms, RMS40 < 15 μV, and LAS40 > 39 ms in the system) were met. 4

HRT was simultaneously measured, and turbulence onset (TO) and turbulence slope (TS) were determined. TO ≥ 0% and TS ≤ 2.5 ms/R‐R intervals are considered abnormal. 7 HRT values are usually classified into three categories: 1) 0 indicates a normal TO and TS; 2) 1 indicates that either TO or TS is abnormal; and 3) 2 indicates that both TO and TS are abnormal. Patients were classified as HRT 0 if HRT could not be calculated because of none or too few suitable tachographs of premature ventricular contractions. In the present study, HRT 2 was defined as abnormal HRT, and HRT 0 and 1 were defined as normal HRT. 4

Frequency domain TWA was simultaneously measured, and the maximum TWA magnitude (max TWA) over 24 hours was determined using a previously described spectral method. 8

We measured left ventricular ejection fraction (LVEF, measured by the Simpson's method) on echocardiography. Serum angiotensin‐converting enzyme (ACE) levels and soluble IL‐2 receptor (sIL‐2R) levels, and plasma brain natriuretic peptide (BNP) concentrations were also assessed. Serum ACE levels were measured by a colorimetric method (colorimetric assay kit; Fujirebio, Tokyo, Japan). Plasma BNP concentrations were measured by a specific immunoassay (Shionoria Kit; Shionogi and Kyowa Medex, Tokyo). Serum sIL‐2R was determined using chemiluminescent immunoassay.

We performed medical record review to identify patient characteristics including findings of cardiac magnetic resonance imaging (MRI), gallium scintigraphy, endomyocardial biopsy, positron emission tomography‐computed tomography (PET‐CT), conventional SAECG, and medications. Approval for this study was obtained from the Institutional Review Board of Nippon Medical School (Ref: 27‐06‐456) and written informed consent was obtained from all patients.

2.1. Statistical analysis

Measurements are presented as mean value ± SD. Comparisons of measurements between two groups were analyzed by Mann‐Whitney U test. Fisher's exact test was used for discrete variables. A P value < .05 was considered as significant. Statistical calculations were performed with SPSS version 20 software (IBM Inc, Chicago, IL, USA).

3. RESULTS

On the Holter SAECG, LAS40 was significantly higher, and RMS40 was significantly lower in the CS group than that of the non‐CS group (LAS40: 61.4 ± 35.9 vs 37.6 ± 9.2 ms; P = .018, RMS40: 11.4 ± 10.3 vs 23.6 ± 13.2 ms; P = .023). Prevalence of positive LPs was also significantly higher in the CS group than in the non‐CS group (85.7% vs 31.5%; P = .026). Representative Holter SAECGs in CS and non‐CS groups are shown in Figure 2. However, there were no significant differences in the Holter‐based HRT and TWA parameter, LVEF, BNP, ACE, and sIL‐2R levels between the two groups (Table 1). The sensitivity, specificity, positive, and negative predictive values of LPs for identifying patients with cardiac involvement were 85.7%, 68.4%, 50.0%, and 92.8%, respectively.

FIGURE 2.

FIGURE 2

Representative cases of Holter SAECG in each group. Positive LP (arrow) was shown in a patient with CS (arrow). CS, cardiac sarcoidosis; f‐QRS, filtered QRS duration, LAS40, duration of low‐amplitude signals < 40 mV; RMS40, root mean square voltage of the terminal 40 ms

TABLE 1.

Comparison of each parameter between patients with and without cardiac involvement

Non ‐ CS group (n = 19) CS group (n = 7) P value
Age (years) 60.4 ± 14.2 54.1 ± 13.7 .36
Male 4 2 1.0
LVEF (%) 70.8 ± 6.5 53.4 ± 19.1 .061
BNP (pg/mL) 20.3 ± 14.0 59.7 ± 61.7 .22
ACE (U/mL) 21.6 ± 11.2 23.3 ± 9.8 .52
s‐IL2R (U/mL) 600.7 ± 641.1 570.0 ± 334.6 .73
f‐QRS (ms) 145.1 ± 11.9 181.4 ± 36.0 .093
RMS40 (μV) 23.6 ± 13.2 11.4 ± 10.3 .018
LAS40 (ms) 37.6 ± 9.2 61.4 ± 35.9 .023
LPs 6 6 .026
max TWA (μV) 9.0 ± 4.4 13.4 ± 10.7 .67
HRT category 2 1 (5.3%) 1 (14.2%) .47
nsVT 0 2 .065
PVC (beats) 7471 ± 5903 2429 ± 6092 .18
selvester score 0.2 ± 0.5 0.6 ± 1.1 .60
Steroid use 2 3 .10

ACE, angiotensin converting enzyme; BNP, brain natriuretic peptide CS, cardiac sarcoidosis; f‐QRS, filtered; QRS duration; HRT, heart rate tubulence; LAS40, duration of low amplitude signals < 40 mV; LVEF, left ventricular ejection fraction; LPs, late potentials; nsVT, non sustained ventricular tachycardia; PVC, premature ventricular contractions; s‐IL2R, soluble IL‐2 receptor; TWA, T wave altternans; RMS40, root mean square voltage of the terminal 40 ms

Characteristics of the CS patients are shown in Table 2. None of the patients underwent endomyocardial biopsy. Gallium scintigraphy was performed in three patients, in whom one patient had positive Gallium uptake in the heart. One patient (No.4) was taking amiodarone for ventricular tachycardia (VT). Clinical manifestations of CS included sustained ventricular tachycardia (n = 2), nonsustained ventricular tachycardia (n = 2), atrial tachycardia (n = 1), and HF (n = 2). Conventional SAECG was performed in four patients, in whom two patients showed positive LPs.

TABLE 2.

Characteristics of pulmonary sarcoidosis patients with cardiac involvement (CS group)

Patient

Age

(years)

Gender

PVC

(beats/day)

nsVT

ACE

(IU/L)

s‐IL2R

(U/ml)

BNP

(pg/ml)

LVEF

(%)

f‐QRS

(ms)

RMS40

(μV)

LAS40

(ms)

LPs

max TWA

(μV)

HRT

category

other organ involvement

LGE

on cardiac MRI

high T2 signal on cardiac MRI cardiac FDG uptake on PET‐CT selvester score

dose of PSL

(mg)

clinical manifestation
1 74 F 26 26.6 906 163.7 76 193 6.1 97 + 29.1 0 eye NA NA + 0 5 AT
2 51 F 200 + 17.8 229 50.7 50 135 25 32.6 17.8 1 + + 0 0 nsVT
3 58 F 883 31.9 521 30.8 42 246 4.6 137 + 9.1 1 skin + + + 1 10 VT
4 38 M 6492 + 20.4 762 8.1 59 192 1.3 64 + 25.4 1 eye, skin + + + 0 10 VT
5 40 M 6793 + 38.2 1034 34.4 80 166 6.3 45 + 3.4 1 eye, skin + 0 0 nsVT
6 69 F 2508 19.4 328 127.4 32 187 11 57 + 3.1 0 Eye + + + 3 0 HF
7 49 F 530 8.8 210 130 35 151 14.3 41 + 6.1 2 NA NA + 0 0 HF

LGE, late gadolinium enhancement; MRI, magnetic resonance imaging; PET‐CT, positron emission tomography‐computed tomography; PSL, prednisolone. Other abbrebiations as in Table 1.

4. DISCUSSION

4.1. High prevalence of LPs on Holter SAECG in cardiac sarcoidosis

The present study demonstrated that the prevalence of LPs was higher in the CS group than in the non‐CS group. Cardiac involvement of sarcoidosis is often manifested as conduction abnormality, including atrioventricular block and bundle branch block. Therefore, SAECG, which can detect subtle conduction abnormality, would theoretically be useful for detecting cardiac involvement in sarcoidosis patients. Inflammation or fibrosis caused by sarcoid granulomas might produce delayed conduction which could be detectable by SAECG. Schuller et al demonstrated that the SAECG was abnormal in 14 of 27 sarcoidosis patients with cardiac involvement but only in 11 of 61 patients without cardiac involvement (P < .01) 9 .

This is consistent with our results, which show the diagnostic utility of Holter SAECG for cardiac involvement. Another important finding is a relatively high prevalence of LPs (31.5%) in non‐CS patients, which is consistent with our previous studies. 2 , 3 Close follow‐up should be considered in these patients.

4.2. Potential role of Holter SAECG for early detection of cardiac involvement

The prognosis of patients with CS is poorer if they are not diagnosed in the early stage. Therefore, early diagnosis and initiation of steroid therapy are important to decrease mortality and improve outcomes. 10 Steroid therapy has been reported to prevent LV remodeling in patients with LVEF ≥ 30% but not in patients with LVEF < 30%. 11 Furthermore, our previous study has demonstrated that steroid therapy is more effective for ventricular arrhythmias in patients with less advanced LV dysfunction than in patients with advanced LV dysfunction. 12 These findings suggest that early diagnosis and therapeutic intervention for cardiac involvement are crucial in patients with sarcoidosis.

LPs detected by SAECG may reflect delayed activation of ventricular tissue originating from areas of diseased myocardium. It has been reported to predict cardiac events in patients with ischemic heart disease and nonischemic cardiomyopathy. 13 , 14

We have previously demonstrated a high prevalence of LPs in pulmonary sarcoidosis, and found that LPs were associated with subsequent cardiac events. 2 , 3 Therefore, Holter SAECG may also potentially be useful for early detection of cardiac involvement in patients with sarcoidosis. A disadvantage of conventional SAECG is the time needed for signal averaging. In contrast, Holter SAECG can save time and cost, as the measurement is obtained from routine Holter monitoring. Furthermore, LPs were positive in six of seven CS patients on Holter SAECG, whereas two of four CS patients on conventional SAECG in the present study. Although the small number of patients in this analysis may limit its power, Holter SAECG might be superior to conventional SAECG for detecting cardiac involvement.

A prospective study should be conducted to evaluate the utility of Holter SAECG.

4.3. Holter TWA in sarcoidosis

TWA is a periodic beat‐to‐beat variation in the amplitude or morphology of the T wave on ECG. Beat‐to‐beat TWA may reflect increased dispersion of ventricular repolarization, and is known to often precede the development of lethal ventricular arrhythmias. 15

Microvolt TWA is a noninvasive test which can detect subtle beat‐to‐beat fluctuations in T‐wave morphology and amplitude using fast Fourier transformation. 16 It has been widely reported to be a useful predictor for serious ventricular arrhythmias and sudden death in patients with structural heart disease including ischemic heart disease and nonischemic cardiomyopathy. 17 , 18 , 19 , 20 , 21

Bicycle or treadmill exercise has been necessary for conventional TWA testing to increase heart rate. Time‐domain modified moving average (MMA) method, which is a novel technique of measuring TWA using 24‐hour Holter monitoring, has recently been developed. Previous studies have demonstrated its utility for predicting malignant ventricular arrhythmias, sudden cardiac death, and cardiovascular mortality. 22 , 23 More recently, frequency domain TWA analysis, which is theoretically less affected by noise than time‐domain TWA, has been developed. 8 , 24

In the present study, frequency domain TWA analysis showed no significant difference between sarcoidosis patients with and without cardiac involvement. There have been few reports on TWA in sarcoidosis. Although one study reported the utility of TWA for detecting cardiac involvement in patients with sarcoidosis, their sample size was similarly small. 25 A large‐scale study is required to evaluate the utility of TWA in patients with sarcoidosis.

4.4. HRT in sarcoidosis

HRT has been proposed as a novel marker of autonomic tone, and its prognostic value has been widely demonstrated especially in patients with myocardial infarction. 26 , 27 , 28 Furthermore, a recent large multicenter prospective study showed that abnormal HRT was significantly associated with all‐cause mortality and fatal arrhythmic events in patients with structural heart disease including ischemic and nonischemic heart disease. 4 However, no clinical studies have been conducted to evaluate the utility of HRT in patients with sarcoidosis. The present study demonstrated no significant difference in the prevalence of abnormal HRT between sarcoidosis patients with and without cardiac involvement, suggesting that HRT may not be closely associated with cardiac involvement in patients with sarcoidosis.

4.5. Other parameters

The electrocardiography‐based Selvester QRS score from 12‐lead ECG has been reported to be useful for identifying myocardial scar in CS. 29 In the present study, three CS patients showed late gadolinium enhancement (LGE) on cardiac MRI, in whom one patient (No.6) had high Selvester score (3 points). Reduced LVEF is associated with cardiac involvement in sarcoidosis. However, there was no significant difference in LVEF between the CS group and non‐CS group (P = .061). However, this may be an issue of selection bias as we excluded patients with wide QRS complex, atrial, or ventricular pacing including cardiac resynchronization therapy. Our study population had relatively preserved LVEF (mean 53.4%), suggesting that patients with reduced LVEF had been excluded.

BNP is a hormone produced mainly by ventricles in response to ventricular volume and pressure overload, and its levels have been shown to be elevated in patients with CS. 30 , 31 However, there were no significant differences in BNP levels between the CS group and non‐CS group and this may be affected by our small sample size and possible patient selection bias as aforementioned.

Although serum ACE and sIL‐2R levels are elevated in patients with sarcoidosis, it is not specific for cardiac involvement. 32 Accordingly, no significant differences were found in serum ACE and sIL‐2R levels between CS group and non‐CS group.

4.6. Study limitations

There are limitations in this study. First, it was retrospective and the sample size was small, limiting the power of the study. A large‐scale prospective study is warranted to validate our findings. Second, the present study did not include a control group. However, our previous study showed a high prevalence of LPs in pulmonary sarcoidosis patients compared to that in control subjects. 2 Third, no data were shown regarding arrhythmic events and cardiac death because of the retrospective nature of the study. The original purpose of SAECG is to predict cardiac events or death. Fourth, we did not evaluate daily variation of LPs. It has been reported that SAECG parameters fluctuate over 24 hours. 33 Finally, the present study excluded patients with CRBBB, CLBBB, and NIVCD, which have been reported to account for half of CS patients. 34

5. CONCLUSIONS

Holter SAECG may be useful for detecting cardiac involvement in patients with pulmonary sarcoidosis.

CONFLICT OF INTEREST

Authors declare no conflict of interests for this article.

ACKNOWLEDGMENTS

None.

Maru Y, Yodogawa K, Tanaka T, et al. Detection of cardiac involvement in pulmonary sarcoidosis using high‐resolution Holter electrocardiogram. J Arrhythmia. 2021;37:438–444. 10.1002/joa3.12501

REFERENCES

  • 1. Newman LE, Rose CS, Maier LA. Sarcoidosis. N Engl J Med. 1997;336:1224–34. [DOI] [PubMed] [Google Scholar]
  • 2. Yodogawa K, Seino Y, Ohara T, Takayama H, Kobayashi Y, Katoh T, et al. Non‐invasive detection of latent cardiac conduction abnormalities in patients with pulmonary sarcoidosis. Circ J. 2007;71:540–5. [DOI] [PubMed] [Google Scholar]
  • 3. Yodogawa K, Seino Y, Ohara T, Iwasaki Y‐K, Hayashi M, Miyauchi Y, et al. Prognostic significance of ventricular late potentials in patients with pulmonary sarcoidosis. Heart Rhythm. 2018;15:798–802. [DOI] [PubMed] [Google Scholar]
  • 4. Kinoshita T, Hashimoto K, Yoshioka K, Miwa Y, Yodogawa K, Watanabe E, et al. Risk stratification for cardiac mortality using electrocardiographic markers based on 24‐hour Holter recordings: the JANIES‐SHD study. J Cardiol. 2020;75:155–63. [DOI] [PubMed] [Google Scholar]
  • 5. Birnie DH, Sauer WH, Bogun F, Cooper JM, Culver DA, Duvernoy CS, et al. HRS expert consensus statement on the diagnosis and management of arrhythmias associated with cardiac sarcoidosis. Heart Rhythm. 2014;11:1305–23. [DOI] [PubMed] [Google Scholar]
  • 6. Strauss DG, Selvester RG. The QRS complex—a biomarker that “images” the heart: QRS scores to quantify myocardial scar in the presence of normal and abnormal ventricular conduction. J Electrocardiol. 2009;42:85–96. [DOI] [PubMed] [Google Scholar]
  • 7. Bauer A, Malik M, Schmidt G, Barthel P, Bonnemeier H, Cygankiewicz I, et al. Heart rate turbulence: standards of measurement, physiological interpretation, and clinical use: International Society for Holter and Noninvasive Electrophysiology Consensus. J Am Coll Cardiol. 2008;52:1353–65. [DOI] [PubMed] [Google Scholar]
  • 8. Hashimoto K, Kasamaki Y, Soma M, Takase B. Diurnal variation of frequency domain T‐wave alternans on 24‐hour ambulatory electrocardiogram in subjects without heart disease: Significant effect of autonomic nervous activity of the heart. Ann Noninvasive Electrocardiol. 2019;24:e12620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Schuller JL, Lowery CM, Zipse M, Aleong RG, Varosy PD, Weinberger HD, et al. Diagnostic utility of signal‐averaged electrocardiography for detection of cardiac sarcoidosis. Ann Noninvasive Electrocardiol. 2011;16:70–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Yazaki Y, Isobe M, Hiroe M, Morimoto S, Hiramitsu S, Nakano T, et al. Prognostic determinants of long‐term survival in Japanese patients with cardiac sarcoidosis treated with prednisolone. Am J Cardiol. 2001;88:1006–10. [DOI] [PubMed] [Google Scholar]
  • 11. Chiu C‐Z, Nakatani S, Zhang G, Tachibana T, Ohmori F, Yamagishi M, et al. Prevention of left ventricular remodeling by long‐term corticosteroid therapy in patients with cardiac sarcoidosis. Am J Cardiol. 2005;95:143–6. [DOI] [PubMed] [Google Scholar]
  • 12. Yodogawa K, Seino Y, Ohara T, Takayama H, Katoh T, Mizuno K. Effect of corticosteroid therapy on ventricular arrhythmias in patients with cardiac sarcoidosis. Ann Noninvasive Electrocardiol. 2011;16:140–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Savard P, Rouleau J‐L, Ferguson J, Poitras N, Morel P, Davies RF, et al. Risk stratification after myocardial infarction using signal‐averaged electrocardiographic criteria adjusted for sex, age, and myocardial infarction location. Circulation. 1997;96:202–13. [DOI] [PubMed] [Google Scholar]
  • 14. Mancini D, Wong KL, Simson MB. Prognostic value of an abnormal signal averaged electrocardiogram in patients with nonischemic congestive cardiomyopathy. Circulation. 1993;87:1083–92. [DOI] [PubMed] [Google Scholar]
  • 15. Armoundas AA, Nanke T, Cohen RJ. Images in cardiovascular medicine. T‐wave alternans preceding torsade de pointes ventricular tachycardia. Circulation. 2000;101(21):2550. [DOI] [PubMed] [Google Scholar]
  • 16. Verrier RL, Klingenheben T, Malik M, El‐Sherif N, Exner DV, Hohnloser SH, et al. Microvolt T‐wave alternans physiological basis, methods of measurement, and clinical utility–consensus guideline by International Society for Holter and Noninvasive Electrocardiology. J Am Coll Cardiol. 2011;58:1309–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Ikeda T, Sakata T, Takami M, Kondo N, Tezuka N, Nakae T, et al. Combined assessment of T‐wave alternans and late potentials used to predict arrhythmic events after myocardial infarction. A prospective study. J Am Coll Cardiol. 2000;35:722–30. [DOI] [PubMed] [Google Scholar]
  • 18. Salerno‐Uriarte JA, De Ferrari GM, Klersy C, Pedretti RFE, Tritto M, Sallusti L, et al. Prognostic value of T‐wave alternans in patients with heart failure due to nonischemic cardiomyopathy: results of the ALPHA Study. J Am Coll Cardiol. 2007;50:1896–904. [DOI] [PubMed] [Google Scholar]
  • 19. Exner DV, Kavanagh KM, Slawnych MP, Mitchell LB, Ramadan D, Aggarwal SG, et al. Noninvasive risk assessment early after a myocardial infarction the REFINE study. J Am Coll Cardiol. 2007;50:2275–84. [DOI] [PubMed] [Google Scholar]
  • 20. Chow T, Kereiakes DJ, Onufer J, Woelfel A, Gursoy S, Peterson BJ, et al. Does microvolt T‐wave alternans testing predict ventricular tachyarrhythmias in patients with ischemic cardiomyopathy and prophylactic defibrillators? The MASTER (Microvolt T Wave Alternans Testing for Risk Stratification of Post‐Myocardial Infarction Patients) trial. J Am Coll Cardiol. 2008;52:1607–15. [DOI] [PubMed] [Google Scholar]
  • 21. Costantini O, Hohnloser SH, Kirk MM, Lerman BB, Baker JH, Sethuraman B, et al. The ABCD (Alternans Before Cardioverter Defibrillator) Trial: strategies using T‐wave alternans to improve efficiency of sudden cardiac death prevention. J Am Coll Cardiol. 2009;53:471–9. [DOI] [PubMed] [Google Scholar]
  • 22. Verrier RL, Nearing BD, Rovere MTL, Pinna GD, Mittleman MA, Bigger JT, et al. Ambulatory electrocardiogram‐based tracking of T wave alternans in postmyocardial infarction patients to assess risk of cardiac arrest or arrhythmic death. J Cardiovasc Electrophysiol. 2003;14:705–11. [DOI] [PubMed] [Google Scholar]
  • 23. Sakaki K, Ikeda T, Miwa Y, Miyakoshi M, Abe A, Tsukada T, et al. Time‐domain T‐wave alternans measured from Holter electrocardiograms predicts cardiac mortality in patients with left ventricular dysfunction: a prospective study. Heart Rhythm. 2009;6:332–7. [DOI] [PubMed] [Google Scholar]
  • 24. Kawasaki M, Yamada T, Morita T, Furukawa Y, Tamaki S, Iwasaki Y, et al. Risk stratification for ventricular tachyarrhythmias by ambulatory electrocardiogram‐based frequency domain T‐wave alternans. Pacing Clin Electrophysiol. 2015;38:1425–33. [DOI] [PubMed] [Google Scholar]
  • 25. Matsumoto S, Hirayama Y, Saitoh H, Ino T, Miyauchi Y, Iwasaki Y‐K, et al. Noninvasive diagnosis of cardiac sarcoidosis using microvolt T‐wave alternans. Int Heart J. 2009;50:731–9. [DOI] [PubMed] [Google Scholar]
  • 26. Schmidt G, Malik M, Barthel P, Schneider R, Ulm K, Rolnitzky L, et al. Heart‐rate turbulence after ventricular premature beats as a predictor of mortality after acute myocardial infarction. Lancet. 1999;353:1390–6. [DOI] [PubMed] [Google Scholar]
  • 27. Mäkikallio TH, Barthel P, Schneider R, Bauer A, Tapanainen JM, Tulppo MP, et al. Prediction of sudden cardiac death after acute myocardial infarction: role of Holter monitoring in the modern treatment era. Eur Heart J. 2005;26:762–9. [DOI] [PubMed] [Google Scholar]
  • 28. Huikuri HV, Raatikainen MJP, Moerch‐Joergensen R, Hartikainen J, Virtanen V, Boland J, et al. Prediction of fatal or near‐fatal cardiac arrhythmia events in patients with depressed left ventricular function after an acute myocardial infarction. Eur Heart J. 2009;30:689–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Sobue Y, Harada M, Koshikawa M, Ichikawa T, Yamamoto M, Okuda K, et al. QRS‐based assessment of myocardial damage and adverse events associated with cardiac sarcoidosis. Heart Rhythm. 2015;12:2499–507. [DOI] [PubMed] [Google Scholar]
  • 30. Yasutake H, Seino Y, Kashiwagi M, Honma H, Matsuzaki T, Takano T. Detection of cardiac sarcoidosis using cardiac markers and myocardial integrated backscatter. Int J Cardiol. 2005;102:259–68. [DOI] [PubMed] [Google Scholar]
  • 31. Date T, Shinozaki T, Yamakawa M, Taniguchi I, Suda A, Hara H, et al. Elevated plasma brain natriuretic peptide level in cardiac sarcoidosis patients with preserved ejection fraction. Cardiology. 2007;107:277–80. [DOI] [PubMed] [Google Scholar]
  • 32. Ipek E, Demirelli S, Ermis E, Inci S. Sarcoidosis and the heart: a review of the literature. Intractable Rare Dis Res. 2015;4:170–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Abe A, Kobayashi K, Yuzawa H, Sato H, Fukunaga S, Fujino T, et al. Comparison of late potentials for 24 hours between Brugada syndrome and arrhythmogenic right ventricular cardiomyopathy using a novel signal‐averaging system based on Holter ECG. Circ Arrhythm Electrophysiol. 2012;5:789–95. [DOI] [PubMed] [Google Scholar]
  • 34. Yodogawa K, Ohara T, Murata H, Iwasaki YK, Seino Y, Shimizu W. Detection of arrhythmogenic substrate within QRS complex in patients with cardiac sarcoidosis using wavelet‐transformed ECG. Heart Vessels. 2020;35:1148–53. [DOI] [PubMed] [Google Scholar]

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