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Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease logoLink to Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
. 2022 Mar 9;11(6):e024521. doi: 10.1161/JAHA.121.024521

Atrial Structural Remodeling in Patients With Atrial Fibrillation Is a Diffuse Fibrotic Process: Evidence From High‐Density Voltage Mapping and Atrial Biopsy

Takanori Yamaguchi 1,2,, Toyokazu Otsubo 1,2, Yuya Takahashi 1, Kana Nakashima 1, Akira Fukui 3, Kei Hirota 3, Yumi Ishii 3, Kodai Shinzato 1, Ryosuke Osako 1, Mai Tahara 1, Yuki Kawano 4, Atsushi Kawaguchi 5, Shinichi Aishima 6, Naohiko Takahashi 3, Koichi Node 1
PMCID: PMC9075313  PMID: 35261287

Abstract

Background

Low‐voltage areas (LVAs) in the atria of patients with atrial fibrillation are considered local fibrosis. We hypothesized that voltage reduction in the atria is a diffuse process associated with fibrosis and that the presence of LVAs reflects a global voltage reduction.

Methods and Results

We examined 140 patients with atrial fibrillation and 13 patients with a left accessory pathway (controls). High‐density bipolar voltage mapping was performed using a grid‐mapping catheter during high right atrial pacing. Global left atrial (LA) voltage (VGLA) in the whole LA and regional LA voltage (VRLA) in 6 anatomic regions were evaluated with the mean of the highest voltage at a sampling density of 1 cm2. Patients with atrial fibrillation were categorized into quartiles by VGLA. LVAs were evaluated at voltage cutoffs of 0.1, 0.5, 1.0, and 1.5 mV. Twenty‐eight patients with atrial fibrillation also underwent right atrial septum biopsy, and the fibrosis extent was quantified. Voltage at the biopsy site (Vbiopsy) was recorded. VGLA results by category were Q1 (<4.2 mV), Q2 (4.2–5.6 mV), Q3 (5.7–7.0 mV), and Q4 (≥7.1 mV). VRLA at any region was reduced as VGLA decreased. VGLA and VRLA did not differ between Q4 and controls. The presence of LVAs increased as VGLA decreased at any voltage cutoff. Biopsies revealed 11±6% fibrosis, which was inversely correlated with both Vbiopsy and VGLA (r=–0.71 and –0.72, respectively). Vbiopsy was correlated with VGLA (r=0.82).

Conclusions

Voltage reduction in the LA is a diffuse process associated with fibrosis. Presence of LVAs reflects diffuse voltage reduction of the LA.

Keywords: atrial fibrillation, biopsy, catheter ablation, fibrosis, low‐voltage area

Subject Categories: Atrial Fibrillation, Electrophysiology, Catheter Ablation and Implantable Cardioverter-Defibrillator


Nonstandard Abbreviations and Acronyms

AT

atrial tachycardia

CMC

circular mapping catheter

CSp

coronary sinus pacing

FO

fossa ovalis

GMC

grid mapping catheter

HRAp

high right atrial pacing

ICE

intracardiac echocardiography

LAMRT

left atrial macroreentrant tachycardia

LVA

low‐voltage area

Vbiopsy

voltage at the biopsy site

VFO

voltage of fossa ovalis

VGLA

global left atrial voltage

VRLA

regional left atrial voltage

Clinical Perspective

What Is New?

  • Low‐voltage areas (LVAs) in the atria measured during catheter ablation for atrial fibrillation have been considered as a surrogate of local fibrosis without histological validation; numerous studies have been reported based on the premise that local LVA represents local fibrosis.

  • However, the present study showed that voltage reduction in the atria of patients with atrial fibrillation was a diffuse process and that the presence of LVAs reflected not only local but also global voltage reduction.

  • Right atrial septum biopsy revealed that voltage reduction in the atria was associated with the extent of histological fibrosis.

What Are the Clinical Implications?

  • The clinical significance of these findings is that the presence of LVA in the left atrium, evaluated by voltage mapping, is a surrogate for advanced diffuse structural remodeling, that is, diffuse fibrotic remodeling, depending on the voltage cutoff and its extent.

  • Given the finding that fibrotic remodeling of the atria is a diffuse process, ablation strategies targeting areas that have been considered local fibrosis, for example, LVA, may not be reasonable.

  • Right atrial septum biopsy under the guidance of intracardiac echocardiography and fluoroscopy is a feasible technique to evaluate the histological characteristics of the atria.

Atrial fibrillation (AF) is associated with structural, electrical, and contractile remodeling of the atria. The hallmark of structural remodeling of the atria is fibrosis. 1 Atrial fibrosis produces the substrate to promote AF by interrupting fiber bundle continuity, causing local conduction disturbances, and promoting non‐uniform anisotropic conduction. 2 Atrial fibrosis has been histologically identified in patients with AF. 3 , 4 , 5 , 6 Recently, left atrial (LA) bipolar voltage mapping has been widely used during catheter ablation procedures for AF to define the AF substrate. Modern electro‐anatomical mapping during AF ablation can acquire up to thousands of bipolar voltage points to be projected onto a 3‐D geometric model of the atrial endocardium. Low‐voltage areas (LVAs), defined as an area with bipolar voltage of less than a specified cutoff (eg, <0.5 mV), have commonly been considered as a surrogate of the presence of native local fibrotic tissue. 7 , 8 , 9 , 10 , 11 Clinical data have shown that the presence as well as extent of LVAs is a powerful predictor of arrhythmia recurrence after AF ablation, 9 , 10 , 11 suggesting that fibrosis expressed as LVAs plays an important role in maintaining AF. Numerous studies have described approaches for targeting LVAs as AF substrate modification to reduce recurrence after AF ablation, based on the assumption that local LVA represents local fibrosis. 12 , 13 , 14 , 15 , 16 , 17

Late gadolinium enhancement‐magnetic resonance imaging (LGE‐MRI) studies have also suggested that fibrosis is a heterogenous process. 18 However, from a histological perspective in post‐mortem material, the extent of fibrosis did not differ among different locations in the atria, suggesting that fibrosis progression is a diffuse process. 6 This discrepancy motivated us to electrophysiologically reassess the characteristics of endocardial bipolar voltage and LVAs in the atria, and to histologically validate the relationship between voltage reduction and fibrosis, which has never been reported. The aim of this study was to evaluate atrial structural remodeling in patients undergoing AF catheter ablation using high‐density voltage mapping and endocardial biopsy from the right atrial (RA) septum.

METHODS

Anonymized patient data that support the findings of this study are available from the corresponding author upon reasonable request. The data are not publicly available because it contains information that could compromise the privacy or consent of the study participants.

Study Design and Patient Population

This study consisted of an AF group including 140 patients undergoing AF ablation and a control group including 13 patients with a left accessory pathway. All patients were Japanese. The AF group consisted of 2 groups including a non‐biopsy group (n=112) and a biopsy group (n=28). For the non‐biopsy group, 189 consecutive patients were initially included using the following inclusion criteria: (1) radiofrequency ablation for non‐valvular AF performed between October 2018 and December 2019 in Saga University Hospital; (2) high‐density bipolar voltage mapping of the LA during high RA pacing (HRAp) using a grid‐mapping catheter (GMC) with a 4×4 electrode configuration (Advisor HD Grid mapping catheter; Abbott). Then, a total of 77 patients were excluded using the following criteria: (1) severe valvular disease (n=1); (2) history of open‐heart surgery (n=2); (3) previous ablation in the LA (n=25); (4) hemodialysis (n=2); (5) definitive diagnosis of cardiac amyloidosis before the ablation procedure (n=1); (6) failure to complete voltage mapping prior to any radiofrequency energy application (n=35); and (7) insufficient mapping density with 5 mm interpolation (n=11). Those patients were excluded after the catheter procedures. The biopsy group was collected from HEAL‐AF (Histological Evaluation of Atrial Fibrillation Substrate Based on Atrial Septum Biopsy, Japanese UMIN Clinical Trial Registration UMIN000040781), which is an ongoing observational study conducted in Saga University and Oita University Hospitals to evaluate outcomes after AF ablation based on the histology of RA septum biopsy samples. A total of 69 consecutive patients undergoing biopsy were initially included from this study using the following inclusion criteria: (1) radiofrequency ablation for non‐valvular AF; (2) high‐density voltage mapping of the LA during HRAp using GMC. Then, 41 patients were excluded using the following exclusion criteria: (1) history of open‐heart surgery (n=0); (2) previous ablation in the LA (n=14), (3) hemodialysis (n=0); (4) definitive diagnosis of cardiac amyloidosis before the ablation procedure (n=1); (5) failure to complete voltage mapping and biopsy prior to any radiofrequency energy application (n=7); (6) insufficient mapping density with 5‐mm interpolation (n=0); (7) amyloid deposition identified in the atrial biopsy samples (n=3); and (8) samples of insufficient quality for histological evaluation (n=16). Those patients were excluded after the catheter procedures. Then, the remaining 28 patients were examined in the biopsy group. Finally, the AF group consisted of a total of 140 patients. The control group included 13 patients who had no history of AF or any cardiovascular diseases and underwent left accessory pathway ablation via trans‐septal approach and high‐density voltage mapping of the LA during HRAp using GMC. These studies were approved by the Ethics Committee of Saga University Hospital (reference number, 20190201 for the non‐biopsy group; 20200101 for the biopsy group; 20200501 for the control group). All patients gave written informed consent to participate in these studies. The research conformed to the principles outlined in the Declaration of Helsinki.

Transthoracic echocardiography was performed prior to ablation. LA volume was evaluated before ablation by a contrast‐enhanced CT scan. 14 Antiarrhythmic drugs, with the exception of amiodarone, were discontinued for at least 5 half‐lives before the ablation. Paroxysmal AF was defined as AF that terminates spontaneously or with intervention within 7 days of onset, and non‐paroxysmal AF was defined as continuous AF that is sustained beyond 7 days.

High‐Density Bipolar Voltage Mapping

Electrophysiological studies and catheter ablation were performed under general anesthesia for the AF group and conscious sedation for the control group. LA geometry and a high‐density bipolar voltage map were created during HRAp at 100 beats per minute (bpm) using a 3D‐electroanatomical mapping system (EnSite Precision; Abbott), and a GMC in both the AF group and the control group. Bipolar voltage was defined as the peak‐to‐peak electrogram amplitude. All bipolar signals, both along and across the splines of the GMC, were collected, and the highest amplitude bipolar signal among signals within a vicinity of <1 mm2 was displayed on the voltage map. 19 This algorithm minimizes the directional sensitivity, which describes the influence of the angle of incidence between the propagating wavefront and the electrode pair on the bipolar electrogram morphology. 20 Any premature atrial beats were strictly excluded. The maximum distance between the mapping points (interpolation) was set at 5 mm. The internal projection of the geometry’s electrical information was also set at 5 mm. Bipolar electrograms were filtered by a bandpass to frequencies between 30 and 500 Hz. The GMC was manipulated through an Agilis sheath (Abbott) to prevent insufficient contact with the atrial wall, and the LA atrial septum was also carefully mapped by looping the sheath and GMC. In a subset of 35 patients from the non‐biopsy group, a high‐density voltage map of the LA was also created during coronary sinus pacing (CSp) at 100 bpm to compare bipolar voltage between HRAp and CSp. In another subset of 20 patients from the non‐biopsy group, a high‐density voltage map of the LA was also created during HRAp at 100 bmp using a 20‐pole circular mapping catheter (CMC) with a 1‐mm electrode length and 2‐mm interelectrode spacing (ReflectionHD; Abbott) to compare the bipolar voltage between GMC and CMC. In the biopsy group, a high‐density bipolar voltage map of the RA septum was also created. The location of the biopsy site and fossa ovalis (FO) was confirmed by intracardiac echocardiography (ViewFlex; Abbott) and annotated with the GMC on the geometry. Patients with AF at the beginning of the procedure had an external or internal biphasic direct current cardioversion (DC) to restore sinus rhythm. When DC up to 270 J failed to restore sinus rhythm (SR) or SR could not be maintained due to frequent AF recurrence before any RF application, those patients were excluded to avoid any impact of RF ablation on the voltage maps, as mentioned above.

Catheter Ablation and Induction of Atrial Tachycardia

PVI was performed in all patients using a contact force sensing catheter (TactiCath Quartz; Abbott). After the PVI, atrial burst pacing from coronary sinus until 2:1 atrial capture was performed to induce LA macroreentrant tachycardia (LAMRT) and cavotricuspid isthmus‐dependent atrial flutter before and after bolus injection of 10 µg isoproterenol. An LAMRT was defined as a cycle length of >180 ms that lasted >5 minutes, and the reentrant circuit was confirmed by electroanatomical mapping and/or post‐pacing interval mapping in the LA. Critical isthmus was defined as the narrowest isthmus and the most crowded isochronal zone on the activation map.

Analysis of Voltage Map

Voltage maps and activation maps were analyzed offline. The following regions were excluded from the analysis of LA: LA appendage (LAA); LA ridge between PV and LAA; PVs at the antral region; mitral annual region, defined as a region within 10 mm of the atrial side from the minimum atrial electrogram recording site. In order to further minimize the influence of directional sensitivity, the LA surface was subdivided into an area of 1 cm2, and the highest voltage in each 1 cm2 was manually acquired (Figure 1). The distance between the acquired points was set to be at least 5 mm. Global LA voltage (VGLA) was measured as the mean of the highest voltages in each 1 cm2 area in the whole LA (1 cm2‐area method). Regional LA voltage (VRLA) according to 6 anatomical regions (anterior, septum, roof, inferior, posterior, and lateral) was also evaluated as the mean of the highest voltage in each 1 cm2. The method of subdividing the LA into 6 regions and the assessment of intra‐ and inter‐observer variability are described in Data S1 and S2. The relative VRLA of each anatomical region was calculated by the following formula: relative VRLA=100×VRLA/mean VRLA of Q4. The extent of LVAs in the LA was evaluated at the cutoff of <0.1 mV (LVA0.1), <0.5 (LVA0.5), 1.0 (LVA1.0), and 1.5 (LVA1.5), and an LVA was defined as a total area of >0.5 cm2 for LVA0.1 and >3.0 cm2 for the other cutoffs. VGLA during CS pacing (CSp) at 100 bpm was also evaluated in the subset of 35 patients of the non‐biopsy group. To exclude the influence of pacing stimuli on the voltage, inferior and lateral regions were excluded from this analysis. VGLA by CMC during HRAp at 100 bpm was also evaluated in the subset of 20 patients in the non‐biopsy group. In patients with LVA0.5, the relationship between voltage cutoffs and extent of the LVAs at each cutoff was evaluated. In this analysis, the extent of LVAs at the cutoffs of <0.75 and <1.25 mV was additionally evaluated.

Figure 1. Distribution of global and regional LA voltage.

Figure 1

A, Distribution of the global LA voltage (VGLA) ordered from lowest to highest in the AF group and the control group. The range bar corresponds to 10th and 90th percentiles of voltage of each patient. Q1 to Q4 show quartiles of the AF group based on VGLA. Red dot shows a patient with atrial biopsy, while black dot shows a patient without biopsy. The radar charts show the mean voltage value of the 6 anatomical regions of the LA (VRLA) (A, anterior; S, septum; R, roof; I, inferior; P, posterior; L, lateral) for all patients in each quartile and the control group. B, LA was divided into the 6 anatomical regions to calculate each VRLA. The white tags on the posterior wall were 1 cm in diameter. The maximum voltage in each 1 cm2 area was selected with reference to these tags, and the VGLA and VRLA at each anatomical region were calculated as the mean of these values. C, The radar chart shows the mean VRLA for each quartile and the control group. VRLA decreased in all regions as the quartile moved down. The VRLA of Q4 and the control was similar in all regions. AF indicates atrial fibrillation; LA, left atrium; LAA, left atrial appendage; LSPV, left superior pulmonary vein; and RSPV, right superior pulmonary vein.

Validation of the 1 cm2‐Area Method for the Evaluation of VGLA and VRLA

We evaluated VGLA and VRLA using all appropriately annotated points (all‐annotated‐point method) in a subset of 25 randomly selected patients consisting of 5 patients selected from each quartile and the control group. In the all‐annotated‐point method, the geometry of each LA region and all the voltage data annotated on the surface of each were extracted from the intraoperative recordings in csv file format, and the VRLA for each LA region was calculated. Similarly, the geometry of the whole LA excluding the PVs and LAA was determined, and VGLA was calculated using all the voltage data on the geometry. VGLA and VRLA were then compared using those 2 methods.

Atrial Septum Biopsy

Atrial septum biopsy was additionally performed before any RF applications in the biopsy group. A bioptome (104 cm with a 2.46 mm3 tip; Cordis, Miami Lakes, FL) was directly advanced to the atrial septum through the steerable sheath. Using intracardiac echocardiography (ICE, ViewFlex; Abbott) as well as fluoroscopy, biopsy was performed at the posterior portion of the limbus of FO. At the biopsy site, which was annotated on the 3D geometry using the GMC, we selected the 6 highest voltages within the area (13×13 mm) and calculated the mean as Vbiopsy. At the biopsy site, the presence of a slow conduction zone, defined as <27 cm/s, 21 was also assessed by an isochronal activation map created during HRAp. Three samples with 1 to 3 mm sample size were successfully obtained in all patients, which were fixed in 4% paraformaldehyde and embedded in paraffin for histological evaluation. The tissues were sliced with 5 µm thickness and deparaffinized sections were stained with Masson’s trichrome and Congo Red. Patients in whom amyloid deposition was identified were excluded, as mentioned above. Each slide stained with Masson’s trichrome was digitally scanned using a digital slide scanner (NanoZoomer S60, Hamamatsu, Japan). Using an image analysis platform (HALO, Indica Labs, Corrales, NM), the edge of the myocardial tissue was manually annotated, excluding the endocardial connective tissue and adipose tissue. The percentage of the area with atrial fibrosis (%fibrosis), including perivascular and interstitial fibrosis, was quantitatively estimated using the HALO area quantification algorithm. Sufficient quality of biopsy samples for histological evaluation was defined as including >0.2 mm2 of myocardial tissue excluding the endocardial connective tissue and adipose tissue. Two independent observers who were blind to the patients’ clinical information analyzed the samples, and the mean value of %fibrosis was determined. The samples were reviewed by a pathologist.

Analysis of the Voltage of FO

We also analyzed the voltage of FO (VFO) adjacent to the biopsy site. During voltage mapping of the RA septum, the location of the FO was also confirmed by ICE and annotated on the voltage map. FO was equally divided into 4 parts and the highest voltage in each part was recorded, and VFO was calculated as the mean of the 4 highest voltages.

Statistical Analysis

For the goodness‐of‐fit test for normality, the Shapiro‐Wilk test was used when the sample size was <2000, and the Kolmogorov‐Smirnov Lillefors test was used when the sample size was ≥2000. Normally distributed data were expressed as the mean±standard deviation (SD), and non‐normally distributed data as the median and interquartile range (IQR). Continuous data were analyzed using the unpaired t test for normally distributed data, and the Wilcoxon rank sum test for non‐normally distributed data. Categorical data were analyzed using the Chi‐squared test or Fisher’s exact test, as appropriate. Patients in the AF group were ordered from the lowest to the highest based on VGLA, and classified into quartiles (Q1–Q4) (Figure 1). In addition, range bars corresponding to 10th and 90th percentiles of the voltage for each patient were shown in the figure. Patients in the control group were also ordered from the lowest VGLA to the highest VGLA, and compared with Q4 of the AF group. Baseline characteristics and electrophysiological data were compared across the quartiles using trend tests, in which the Spearman’s rank correlation coefficient and the Cochran‐Armitage test were used for continuous and categorical data, respectively. The Spearman’s rank correlation coefficient was also used to evaluate trends for 10th and 90th percentile voltage of each patient. Simple and multiple linear regression analyses were performed to evaluate demographic and clinical factors associated with VGLA in the AF group. Subsequently, multiple logistic regression analyses adjusted for the demographic and clinical factors significantly associated with VGLA were performed to evaluate the relationship between presence of LVA and VGLA. The extents of LVA0.1, LVA0.5, LVA1.0, and LVA1.5 were compared to VGLA using a scatterplot. Since the LVAs appeared as VGLA decreased below some thresholds, linear regression analyses between VGLA and LVA extent were performed in patients who had VGLA below the threshold. Each threshold was determined by a receiver operating characteristic (ROC) curve. In patients with LVA0.5 identified, the relationship between LVA size and each voltage cutoff value (0.5, 0.75, 1.0, 1.25, and 1.5 mV) was evaluated by the linear mixed effects model, considering repeated measurements for each patient. In each quartile (Q1–Q4), VRLA was compared in an order of anterior, septum, roof, inferior, posterior, and lateral wall using the Spearman’s rank correlation coefficient. For a comparison of the relative VRLA in the 6 anatomical regions, the one‐way analysis of variance (ANOVA) test was used. In addition, the prevalence of LVA in each anatomical region at each voltage cutoff was compared in the same order using the Cochran‐Armitage test. Intra‐ and inter‐observer agreement was tested with intraclass correlation coefficient (ICC) score. A P‐value of <0.05 was considered statistically significant. JMP pro software (version 14.2, SAS Institute Inc., Cary, NC, USA) was used for the analysis.

RESULTS

Patient Characteristics

VGLA results by category were Q1 (<4.2 mV), Q2 (4.2–5.6 mV), Q3 (5.7–7.0 mV), and Q4 (≥7.1 mV). Baseline characteristics and electrophysiological data across the quartiles of VGLA in the AF group and those of the control group are shown in Table. In the AF group, as the quartiles moved down, patients were older, more female, and more frequently had non‐paroxysmal AF type, a history of congestive heart failure, higher CHA2DS2‐VASc scores, lower renal function, lower left ventricular ejection fraction, and larger LA size. Simple and multiple linear regression analyses in the AF group revealed that age, female sex, non‐paroxysmal AF type, and LA volume were significantly associated with VGLA (Table S1). Voltage maps were created using 2549±811 acquired points during HRAp in the AF group. A total of 78±20 were used to calculate VGLA by the 1 cm2‐area method for each patient in the AF group. The number of points of maximum voltage obtained in each LA region in the AF group was 17±5 in the anterior, 15±6 in the septum, 6±3 in the roof, 20±6 in the inferior, 13±5 in the posterior, and 7±3 in the lateral. In the control group, a total of 2, 132±412 were acquired and 72±14 highest voltage values were used to calculate the VGLA by the 1 cm2‐area method. The number of points of maximum voltage obtained in each region in the control group was 15±3 in the anterior, 15±5 in the septum, 6±2 in the roof, 14±5 in the inferior, 13±3 in the posterior, and 7±2 in the lateral. The VGLA and VRLA evaluated by the 1 cm2‐area method showed strong positive correlations with those evaluated by the all‐annotated‐point method (r=0.974, P<0.001 for VGLA, r=0.748–0.923, P<0.001 for VRLA) (Figures S1 and S2).

Table 1.

Patient Characteristics Across Quartiles of Mean LA Voltage

Variables

Q1 (<4.2 mV)

n=35

Q2 (4.2–5.6 mV)

n=35

Q3 (5.7–7.0 mV)

n=35

Q4 (≥7.1 mV)

n=35

Control

n=13

P for trend in Q1–Q4 P value, Q4 vs control
Age, y 73±8 71±6 68±8 62±13 55±10 <0.001* 0.059
Females, n (%) 18 (51) 11 (31) 9 (26) 4 (11) 5 (38) 0.001* 0.047*
Non‐PAF, n (%) 29 (83) 22 (63) 18 (51) 14 (40) <0.001*
BMI, kg/m2 24.1±3.4 25.3±3.3 24.0±4.1 25.3±3.9 23.9±5.1 0.749 0.358
History of cerebral infarction 4 (11) 1 (3) 4 (11) 3 (9) 0 (0) 1.000 0.552
History of congestive heart failure, n (%) 9 (26) 5 (14) 5 (14) 2 (6) 0 (0) 0.026* 1.000
Hypertension, n (%) 20 (57) 20 (57) 14 (40) 16 (46) 1 (8) 0.173 0.018*
Diabetes, n (%) 6 (17) 4 (11) 4 (11) 9 (26) 1 (8) 0.358 0.247
CHA2DS2‐VASc score (IQR) 3 (2–4) 2 (2–3) 2 (1–3) 2 (1–3) 0 (0–1) <0.001* 0.009*
eGFR, mL/min per 1.73 m2 51±21 58±18 61±17 65±18 69±9 0.001* 0.242
LVEF, % 61±12 65±11 63±14 70±11 68±7 <0.001* 0.380
LA diameter, mm 42±5 43±6 39±5 38±6 34±6 <0.001* 0.094
LA volume, mL 174±47 169±44 140±38 141±45 <0.001*
LA volume/BSA, mL/m2 108±26 99±23 84±19 78±22 <0.001*
Global LA voltage (VGLA), mV 3.0±0.8 4.9±0.4 6.3±0.4 8.5±1.3 8.5±1.0 <0.001* 0.946
Atrial biopsy, n 4 7 7 10
%fibrosis, % 13.9±2.8 9.2±4.1 7.1±3.8 5.1±2.9 <0.001*
Voltage at biopsy site, mV 5.8±0.4 8.4±1.4 9.2±1.8 11.8±2.7 <0.001*

*Significant value (P < 0.05).

AT indicates atrial tachycardia; BMI, body mass index; BSA, body surface area; eGFR, estimated glomerular filtration rate; IQR, interquartile range; LA, left atrium; LVEF, left ventricular ejection fraction; PAF, paroxysmal atrial fibrillation; Q1–4, first to fourth quartile; and RA, right atrium.

Distribution of VGLA and VRLA

VGLA was distributed along a continuum rather than a discontinuous curve when ordered from lowest to highest, and both the 10th and 90th percentiles of voltages in each patient decreased as VGLA decreased (Figure 1). The radar charts consisting of VRLA of each anatomical region showed that VRLA at any region decreased as the quartile moved down. There were no significant differences in VGLA and VRLA at any region between Q4 and the control group (Figure 1 and Figure S3). The relative VRLA showed no significant difference between regions in any quartile, when the lateral was excluded from the analysis (Figure S4), showing that the rate of voltage reduction was uniform in each LA region, except for the lateral. Furthermore, VRLA of any region was not only linearly correlated with VGLA but was also correlated between regions (Figure S5 and Table S2).

Distribution of Bipolar Voltage Values

Histograms of all bipolar voltage values in all patients in each quartile and the control group are shown in Figure 2. Histograms of all quartiles showed a non‐normal distribution with lower quartiles skewed to the right. However, the unimodal distribution was consistently maintained (Figure 2A). The median value of each patient was positively correlated with VGLA (median=−0.4+1.0×VGLA, r=0.984, Figure S6). Both the density curve and the cumulative probability curve were very similar between Q4 and the control group (Figure 2B).

Figure 2. Distribution of bipolar voltage values in all patients in each quartile and the control group.

Figure 2

A, Histograms of all bipolar voltage values in all patients in each quartile and the control group are shown. Each histogram consisted of a total of 2999 (Q1), 2832 (Q2), 2645 (Q3), 2492 (Q4), and 931 (control) voltage values. B, A density curve and cumulative probability curve of each quartile and the control group are shown. KSL indicates Kolmogorov‐Smirnov Lillefors; and S‐W, Shapiro‐Wilk.

Relationship Between Presence of LVA and VGLA

The presence of LVAs increased as the quartile moved down at any voltage cutoff (Figure 3A and 3B). LVA0.1 was only identified in Q1 (31%), and LVA0.5 was only identified in Q1 (49%) and Q2 (3%). Multiple logistic regression analysis adjusted for the 4 variables including age, female sex, non‐PAF type, and LA volume, which were significantly associated with VGLA, revealed that VGLA independently predicted the presence of LVA at cutoff values of 0.5, 1.0, and 1.5 mV (eg, for LVA1.0, odds ratio 0.42, 95% confidence interval 0.276–0.640 per 1 mV increase) (Table S3). For LVA0.1, multivariate logistic regression analysis could not be performed due to the small number of patients with LVA0.1 (n=11). The presence of LVAs by region decreased in the order of anterior, septum, roof, inferior, posterior, and lateral at any voltage cutoff (Figure 3C). On the other hand, VRLA increased in the same order at any quartile, and the same trend was observed in the control group (Figure 3D).

Figure 3. Presence of LVA and regional LA voltage in each quartile and the control group.

Figure 3

A, Examples of voltage map of each quartile and the control group. LVA was defined as <1.5 mV. The color gradation indicates the serial changes in the voltage amplitude from purple at 1.5 mV to grey at 0.1 mV as shown in the color bar at the lower right in the panel. B, The presence of LVA by quartile and in the control group at different voltage cutoffs, which increased as the quartile moved down at any voltage cutoff, and as the voltage cutoff increased. No LVAs were identified in the control group even with a voltage cutoff of 1.5 mV. C, The presence of LVA by region decreased in the order of anterior, septum, roof, inferior, posterior, and lateral at any voltage cutoff. D, Regional LA voltage (VRLA) increased in the same order at any quartile, and the same trend was observed in the control group. LA indicates left atrium; and LVA, low‐voltage area.

Relationship Between VGLA and the Extent of LVA

When VGLA values and LVA extent were plotted on a scatter plot, LVA appeared when VGLA was below a certain threshold value (2.6, 4.0, 5.5, and 7.0 mV, for LVA0.1, LVA0.5, LVA1.0, and LVA1.5, respectively, Figure 4). There was an inverse relationship between VGLA and the LVA extent in patients with VGLA below the threshold. Furthermore, the relationship between voltage cutoffs and the LVA extent was analyzed in patients with LVA0.5 identified (n=22). There was a positive linear relationship between LVA extent and voltage cutoffs with a common slope (LVA extent [cm2]=LVA0.5+30×(voltage cutoff−0.5), R 2=0.94, P<0.001, Figure S7).

Figure 4. Relationship between global LA voltage and the extent of LVA.

Figure 4

Relationship between global LA voltage (VGLA) and the extent of LVA at different voltage cutoffs (0.1 mV for A, 0.5 mV for B, 1.0 mV for C, 1.5 mV for D). Each dot shows data for each patient. LVA appears when VGLA is below a certain threshold value (2.6, 4.0, 5.5, and 7.0 mV, for LVA0.1, LVA0.5, LVA1.0, and LVA1.5, respectively). There was an inverse relationship between VGLA and the LVA extent of patients with VGLA below each threshold. LA indicates left atrial; and LVA, low‐voltage area.

Relationship of Global and Regional Voltage Between HRA and CS Pacing

Global LA voltage during CSp (VGLA‐CS) was additionally measured in a subset of 35 patients in the AF group. The patient characteristics of this subset are shown in Table S4. There was no significant difference in the number of selected voltage values between HRAp and CSp (51±12 versus 53±9 points per map, P=0.422). Although the distribution of LVAs was slightly different, VGLA and VGLA‐CS were similar (VGLA‐CS=0.1+1.1×VGLA, r=0.94, P<0.001, Figure S8). VRLA of the LA anterior, septum, and posterior were also similar between HRAp and CSp (r=0.78–0.92, Figure S8).

Comparison of VGLA Between GMC and CMC

Voltage maps were created by CMC and 1914±452 points were acquired during HRAp in the subset of 20 patients. A total of 77±26 highest voltage values were used to calculate VGLA by CMC for each patient. There was a strong linear relationship between the 2 mapping catheters (r=0.979, P<0.01), and VGLA by CMC was 0.75×VGLA by GMC (Figure S9).

Impact of Amiodarone on VGLA and Presence of LVA

Amiodarone was prescribed in 12 patients in the AF group (8 in Q1, one in Q2, 3 in Q3, and none in Q4) and none in the control group. There was no significant difference in patient characteristics, VGLA, VRLA, or the presence of LVA between patients receiving amiodarone (n=8) and those not receiving amiodarone (n=27) in Q1 (Table S5).

Inducibility of LAMRT

All patients successfully completed PVI, and induction of LAMRT was attempted after PVI. A total of 21 patients (15%) had inducible LAMRTs. Eleven patients had single LAMRT. Ten patients had second LAMRT after elimination of the first LAMRT. Five patients had third LAMRT after elimination of the second LAMRT. The mean cycle lengths (CL) of the first, second, and third LAMRTs were 228±28, 273±45, and 292±53 ms, respectively. In total, 36 LAMRTs were induced: roof reentrant (n=13); perimitral (n=12); AT localized in the anterior (n=5); biatrial tachycardia (n=4); and AT localized in the posterior (n=1) and in the septum (n=1). All of the third LAMRTs were biatrial tachycardia. Examples of LAMRT are shown in Figure S10. Inducibility of LAMRTs increased as the quartile moved down (Q1, 37%; Q2, 9%; Q3, 14%; Q4, 0%, P<0.001). Multiple LAMRTs (n=10) were induced only in Q1. Among patients with LVA0.1 (n=11), ATs were induced in 10 (91%). The inducibility of LAMRT increased as LVA appeared at lower voltage cutoffs (Figure S10). All the critical isthmuses were located in the LVAs except for 4 roof reentrant ATs, which were induced in patients without LVA1.0.

Histological Assessment of Atrial Biopsy Samples and Its Relationship With Bipolar Voltage

Atrial biopsy samples were histologically analyzed in 28 patients (indicated by red dots in Figure 1). Patient characteristics of the biopsy group in comparison with the non‐biopsy group are shown in Table S6. Examples of a voltage map at the biopsy site, imaging of the biopsy site at the limbus of fossa ovalis (FO) using ICE, and imaging of the bioptome using ICE and fluoroscopy are shown in Figure 5 and Figure S11. The number and the size of samples on the glass slide were 2.4±0.9 and 1.8×1.2 mm per patient. The area of myocardial tissue was 0.76±0.52 mm2 (range 0.2–1.9 mm2) after excluding endocardial connective tissue and adipose tissue. Figure 6A shows the algorithm to measure %fibrosis using the image analysis platform. The %fibrosis ranged from 1.2% to 17.0% (7.9±4.4%) with various amounts of interstitial fibrosis (Figure 6B through 6J). ICC were calculated for the intra‐ and inter‐observer variability. The ICC were 0.948 and 0.865, respectively.

Figure 5. Right atrial septum biopsy.

Figure 5

A, An example of voltage map of the RA septum with a shadow of GMC showing the biopsy site. B, An image of intracardiac echocardiography (ICE) showing that GMC was placed at the limbus of the fossa ovalis. C, An image of ICE showing a steerable sheath placed near the biopsy site on the limbus of the fossa ovalis. D, An image of ICE showing a bioptome directly advanced to the biopsy site through the steerable sheath. E, Fluoroscopy viewed from left anterior oblique showing the location of the ICE, steerable sheath, and bioptome. F, An example of biopsy sample with 2 mm size. CS indicates coronary sinus; IVC, inferior vena cava; LA, left atrium; RA, right atrium; and SVC, superior vena cava.

Figure 6. Histological assessment of atrial biopsy samples.

Figure 6

A, A Masson's trichrome stained sample from the right atrial (RA) septum (top) and the algorithm for quantitative analysis of %fibrosis using the image analysis platform (HALO) (bottom). The blue staining in the top indicates fibrosis. Only the area surrounded by the yellow lines, which excludes the endocardial connective tissue and adipose tissue, was analyzed to measure %fibrosis. The blue stained areas were highlighted in red and %fibrosis was calculated by dividing the total red area by the total area surrounded by the yellow line. B through J are examples of histological images ordered from low to high %fibrosis. Endocardium (white arrow in F) and large adipose tissue were excluded from the measurement of %fibrosis. The value in each figure shows %fibrosis. K, The voltage map of the RA septum (top) and LA (bottom) of the same patient as in (B). There is no LVA (defined as <1.5 mV) and the bipolar voltage at the biopsy site is high (middle). L, The voltage map of the RA septum and LA of the same patient as in (I). LVAs were identified and the bipolar voltage at the biopsy site was relatively low. The color gradation indicates the serial changes in the voltage amplitude from purple at 1.5 mV to grey at 0.1 mV. CS indicates coronary sinus; f, %fibrosis; FO, fossa ovalis; IVC, inferior vena cava; LVA, low‐voltage area; MV, mitral valve; RAA, right atrial appendage; RSPV, right superior pulmonary vein; and SVC, superior vena cava.

Examples of voltage map in a patient with minimal fibrosis and a patient with severe fibrosis were shown in Figure 6K (no LVA1.5) and 6L (extensive LVA1.5). Vbiopsy decreased and %fibrosis increased as the quartile moved down to the lower quartile (Figure 7). The %fibrosis was inversely correlated both with Vbiopsy and VGLA (r=–0.71 and −0.72, respectively), and Vbiopsy was positively correlated with VGLA (r=0.82) (Figure 7). The Vbiopsy values of the patients with the minimal (1.2%) and the maximum %fibrosis (17.0%) were 15.0 and 5.6 mV, respectively. The limbus of FO, the biopsy site, had the highest voltage in the RA septum in all 28 patients in the biopsy group (Figure S11). No slow conduction was identified at the biopsy site in any patient. There was a positive linear relationship between VFO and Vbiopsy: VFO=–0.8+0.6×Vbiopsy (r=0.700, P<0.001, Figure S12). No complications associated with the biopsy and ablation procedures were noted.

Figure 7. Relationship between atrial voltage reduction and the extent of fibrosis.

Figure 7

A, Mean bipolar voltage at the biopsy site (Vbiopsy) as well as global LA voltage (VGLA) in each quartile, both of which decreased as the quartiles moved down. B, %fibrosis of each quartile in the biopsy group was shown, which also decreased as the quartile moved down. C, There were an inverse relationship between Vbiopsy and %fibrosis (left), between VGLA and %fibrosis (middle), and a positive relationship between Vbiopsy and VGLA.

DISCUSSION

Major Findings

The major findings of the present study were as follows: (1) bipolar voltage reduction in the LA of patients with AF is a diffuse process ranging in severity from minimal to severe; (2) the presence and extent of LVAs are closely related to the global LA voltage reduction, no matter which voltage cutoff between 0.1 and 1.5 mV is used; (3) a close relationship between atrial voltage reduction and the extent of fibrosis was confirmed by histology based on atrial biopsy. To the best of our knowledge, this is the first paper to report these findings. These electrophysiological and histological findings also suggest that the presence of LVA is a surrogate for diffuse fibrotic remodeling of the LA, rather than local fibrosis, depending on the voltage cutoff and its extent.

Evidence for a Diffuse Voltage Reduction in the LA

Global LA voltage (VGLA) distributed along a continuum rather than a discontinuous curve, and the VRLA decreased in all anatomical regions of the LA as the VGLA decreased. These findings indicate that voltage reduction in the LA is a diffuse phenomenon. Furthermore, there was no significant difference in the relative VRLA with reference to Q4 in all anatomical regions except the lateral wall, suggesting a uniform voltage reduction across the whole LA. The reason why the relative VRLA of the lateral wall is higher than that of other regions is not clear. However, it is possible that the analysis region included a part of the LAA, which has higher voltages. 16 The possibility of non‐uniform voltage reduction within individual anatomical regions still remained. Therefore, we evaluated the distribution of voltage values across the whole LA using a histogram, and found that as the quartiles moved down, the histogram shifted toward lower voltages, maintaining a unimodal distribution, indicating that uniform voltage reduction even in individual regions is likely. Schreiber et al 16 reported that the maximum voltage in the LA (in the majority inside the LAA) decreased in those with extensive LVAs compared with those with no or minimum LVAs, suggesting a diffuse atrial remodeling process. However, the study did not show that voltage reduction is a diffuse phenomenon throughout the LA and regarded LVAs as severe local fibrotic areas.

Comparison of Bipolar Voltage Between Q4 and the Control Group

Both VGLA and VRLA in Q4 were comparable to those of the control group without any history of AF or other cardiovascular disease. Both the density curve and cumulative probability curve of the 2 were very similar, suggesting that Q4 is very close to the control group in terms of bipolar voltage. The histological fibrosis of Q4 was 5.1±2.9%. It is not clear whether this degree of fibrosis does not affect the bipolar voltage or whether this degree of fibrosis is also present in the control group, since we did not perform biopsies in the control group. Nevertheless, it can be stated that the severity of voltage reduction in Q4 is minimal, while that in Q1 is severe.

LVA as a Reflection of Diffuse Fibrotic Remodeling in the LA

LVA appeared predominantly in the anterior wall and septum. The distribution of the LVA in this study was consistent with previous studies. 12 , 13 , 14 , 15 , 16 , 17 The primary cause of voltage reduction has been considered as fibrosis, 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 although it has never been validated histologically. Based on the assumption that local LVA is a local fibrotic area, numerous investigators have considered LVA as a substrate for AF and have also targeted LVA for AF substrate modification. 12 , 13 , 14 , 15 , 16 , 17 However, the present study clearly showed that the presence and extent of LVA reflected a decrease in VGLA. In addition, there were good correlations between Vbiopsy, VGLA, and the extent of histological fibrosis. This indicates that histological fibrosis is one of the causes of the voltage reduction. However, the previous assumption that a local LVA represents a local fibrotic area seems unlikely, although LVAs may represent regions of greater local fibrosis in the context of diffuse fibrosis, particularly as seen in this study as substrate potentiating LAMRT. Histological evaluation in this study was limited to a small part of the RA septum, and together with the voltage findings of the atria, fibrosis of the whole LA was speculated. On the other hand, Oakes et al 18 showed that there was a correlation between the degree of LGE‐MRI and bipolar voltage, and McGann et al 22 reported an association between the region of LGE‐MRI and histological fibrosis in surgical biopsy specimens in the LA of 10 patients. Zghaib et al 23 also reported a reasonable agreement between LGE‐MRI and bipolar voltage. Therefore, it cannot be ruled out that fibrosis is a heterogeneous process and that the decrease in voltage is due to local fibrosis. The multimodality correlation of fibrosis across voltage, imaging and histology will be necessary in the future.

The present study indicates that the presence of LVA rather is a surrogate for diffuse fibrotic remodeling of the LA. Based on the assumption that LVA is a local fibrotic lesion, there have been discussions of the optimal cutoff value of LVA for assessment of the presence of fibrotic lesions. 11 , 24 , 25 However, based on the findings of the present study that voltage reduction is a diffuse phenomenon, and LVA extent linearly increased as voltage cutoff increased, it is not reasonable to assume a certain cutoff value for the assessment of fibrotic area. Notably, the biopsy sites with the most severe %fibrosis showed a voltage amplitude of 5.6 mV. The linear relationship between Vbiopsy and VGLA was expressed as Vbiopsy=2.2+1.1×VGLA. The limbus of FO, the biopsy site, had the highest voltage in the RA septum in all 28 patients in the biopsy group. In addition, there was a positive linear relationship between VFO and Vbiopsy: VFO=–0.8+0.6×Vbiopsy, indicating that VFO was consistently lower than Vbiopsy at the limbus of FO. These data suggest that the bipolar voltage is inherently different in each region of the RA, and the limbus of FO would be an innately high voltage region. Therefore, it is assumed that a voltage of about 5 mV was recorded at the biopsy site, even in cases of severe fibrosis. It would not be possible to assess the extent of fibrosis with a simple voltage cutoff value. A significant decrease in voltage indicates the presence of fibrosis, but even if the voltage has not decreased to a certain cutoff, it does not mean that fibrosis has not progressed in some regions. These findings are consistent with the previous histological study evaluating post‐mortem material reported by Platonov et al, 6 in which the extent of fibrosis did not differ among 5 sampling locations in the atria, including crista terminalis, Bachmann’s bundle, inferior PV, posterior LA, and superior PV, showing that fibrosis progression is a diffuse process in the atria. The current study also proved that the VRLA of the anterior and septum is lower than that of other regions even in Q4 and the control group. This indicates that the regional voltage of the anterior wall and septum are innately lower than the other regions. Therefore, LVA appears preferentially in those regions as the global voltage decreases. The reason why the innate voltage varies from region to region could be the fact that the thickness of the atrial wall and the complexity of the myocardial fiber bundles vary from region to region, especially in the anterior and septum. 26 , 27 There is a very thin area in the anterior wall just behind the aorta and a very thin‐walled foramen ovale in the septum, 26 , 27 which are thought to be particularly prone to lower voltage.

Factors That Influence Bipolar Voltage

Bipolar voltage depends on the directionality. 20 , 24 In order to reduce the effect of directional sensitivity, all bipolar signals both along and across the splines of the GMC were collected, and the highest amplitude bipolar signal was displayed on the voltage map. Nevertheless, the effect of directional sensitivity still appears. For example, if the excitation wave propagates from a 45° angle toward the 2 orthogonal electrode pairs, the bipolar voltage recorded at either electrode pair will decrease to the same extent. We evaluated VGLA and VRLA by a mean of the highest voltage at a sampling density of 1 cm2, which would minimize the impact of directional sensitivity on the measurement of VGLA and VRLA. Activation direction and rate of wavefront propagation have been known to influence bipolar voltage, the distribution and extent of LVAs. 28 We compared VGLA during both HRAp and CSp at the same rate of 100 bpm to investigate the impact of different activation directions. There was a small difference in the distribution of LVAs, which is consistent with the previous study. 28 However, the VGLA was almost identical between the 2, suggesting that VGLA may depend more on the amount of atrial tissue mass than on the activation direction. We did not investigate the impact of pacing cycle length on VGLA and VRLA in this study. It is unknown whether the voltage reduction is consistently diffuse even during pacing at a shorter cycle length. Other factors, such as filtering, 29 catheter incident angle, catheter contact, and tissue thickness, also affect the bipolar voltage. Electrode size and inter‐electrode spacing also affect the bipolar voltage. 30 In this study, we compared VGLA between GMC and CMC in a subset of the AF group. There was a strong linear relationship between the 2 mapping catheters, and VGLA by CMC was 0.75×VGLA by GMC. This finding suggests that voltage strongly depends on the mapping electrodes and that a single binary threshold cannot accurately characterize atrial fibrosis.

Impact of Diffuse Voltage Reduction on the Inducibility of LAMRT

The inducibility of LAMRT increased as the quartile moved down and as the lowest voltage cutoff value at which LVA appeared became lower. In addition, the majority of critical isthmus for the LAMRTs was located in the LVA, suggesting that LVA works as a substrate for LAMRT. Especially, the presence of LVA0.1 was closely associated with LAMRT, suggesting that as the voltage decreases, conduction slowing or block appears, creating a substrate for LAMRT. We speculate that the previously reported ablation strategy targeting LVA as a localized fibrotic area may have prophylactically ablated the substrate of AT, which resulted in better arrhythmia free‐survival. 12 , 13 , 14 , 16 , 17 However, other studies did not show any significant improvement in arrhythmia free‐survival. 15 , 31 , 32 Since an LVA is not a localized fibrotic area, it is reasonable to assume that the AF substrate cannot be modified by LVA ablation.

Clinical Factors Associated With Lower VGLA

There were significant associations between reduction of VGLA and age, female sex, non‐PAF type, history of congestive heart failure, eGFR, LVEF, and LA size in univariate analyses. All these clinical factors have been widely recognized and discussed as predictors of LVA. 10 , 11 , 12 , 13 , 14 , 15 , 16 The consistency is as expected because LVA is a reflection of reduction in VGLA. Even though most of the LVAs, generally defined <0.5 mV, were not found in the Q2 and Q3 groups, the correlation between these predictors and the quartile decline suggests that they are related to the process of diffuse voltage reduction. However, due to the small number of patients who underwent histological evaluation in this study, we did not evaluate the association between those clinical factors and histological findings. Future studies are needed to clarify the relationship. There were significant differences in demographic and clinical characteristics between the quartiles and the Q1–Q3 versus control group, which may have influenced the association between VGLA and the presence of LVA. Multiple logistic regression analysis adjusted for covariates significantly associated with VGLA revealed that VGLA independently predicted the presence of LVA at cutoff values of 0.5, 1.0, and 1.5 mV, which suggests that VGLA is significantly associated with the presence of LVA, regardless of the patient's characteristics.

Feasibility of Endomyocardial Atrial Biopsy and Histological Fibrosis in Patients With AF

Histological evaluation of atrial muscle in humans has been mainly based on biopsy specimens from open heart surgery and autopsy cases. 4 , 5 , 6 However, the patients’ backgrounds in these studies are different from those of patients undergoing catheter ablation for non‐valvular AF. Endomyocardial biopsies from atria with thin walls are considered to have a higher risk of complications than biopsies from ventricles and have not been commonly performed. Endocardial biopsy from the RA of a beating heart in patients with AF was first reported by Frustaci et al, 3 in which abnormal atrial histology was consistently found in all 12 patients with paroxysmal lone AF. Sepehri Shamloo et al 33 recently reported the feasibility of RA septum biopsy in 4 patients undergoing AF ablation. Both studies included a small number of patients, and neither evaluated fibrosis in relation to bipolar voltage. In this study, a total of 69 patients underwent atrial biopsy without any complications, of which 28 met the inclusion and exclusion criteria and were analyzed. The ICE‐guided endocardial biopsy from the RA septum seems to be a feasible and safe technique, although the significance of the RA biopsy in clinical practice is still unclear. We showed an inverse relationship between bipolar voltage and %fibrosis. However, there was variation in %fibrosis, especially in patients whose voltage was in the middle range. Factors other than fibrosis may affect voltage, eg, myocyte cell size, myocyte disarray, intercellular‐spacing, myofibrillar loss, infiltration with adipocytes. Due to the limited number of patients with histological evaluations in this study, the impacts of these factors on voltage have not been analyzed, and future studies are warranted.

Limitations

This study has several limitations. First, the voltage mapping was based on the endocardial surface of the LA and the RA septum, and it was not performed in the whole RA, the LAA, and on the epicardial surface. It is unclear whether the diffuse voltage reduction is also observed in these structures. Second, biopsy was performed only from the RA septum. Therefore, fibrotic remodeling of the LA is only an estimate based on the close relationship between the voltage data and the extent of fibrosis at the biopsy site. Third, the non‐biopsy AF group and the control group did not undergo histological evaluation. Therefore, the possibility of amyloid deposition cannot be ruled out in these groups. Fourth, although Masson's trichrome staining was performed by a single technician, differences in the concentration of the staining may have affected the quantification of fibrosis. Fifth, the endocardial connective tissue stained with blue was excluded from the analysis of %fibrosis. However, there were cases in which it was difficult to clearly distinguish the connective tissue from interstitial and perivascular fibrosis, which may have affected the quantification of %fibrosis. Sixth, we did not perform an imaging evaluation of fibrosis using LGE‐MRI. LGE‐MRI of the atria is available only in a very limited number of research centers and could not be performed in our institution, although the multimodality correlation of fibrosis across voltage, imaging and histology would be of significant interest. Seventh, only 4 patients were classified as Q1 in the biopsy group, and histological evaluation of the patients in Q1 was insufficient; thus, further studies are needed. Eighth, Platonov et al did not analyze fibrosis at the interatrial septum. Therefore, it was just speculation that histological fibrosis would be diffuse and the extent would be similar between the atrial septum and the other locations analyzed by Platonov et al. Ninth, the biopsy cohort consisted of 28 patients, who were selected from 69 consecutive patients undergoing atrial septum biopsy. Most of the exclusion criteria were established to exclude the impact of ablation on the atrial muscle. Among them, 16 patients were excluded because sufficient myocardial tissue could not be obtained. This may be due to the very thick atrial endocardium. The exclusion of a large number of patients in the biopsy group may have affected the results.

CONCLUSIONS

Voltage reduction in the LA of patients with AF is a diffuse process with minimal to maximal severity and is associated with the extent of histological fibrosis. The presence of LVA reflects a diffuse voltage reduction of the LA.

Sources of Funding

This work was supported by JSPS KAKENHI Grant Number JP21K08056 and the Setsuro Fujii Memorial, The Osaka Foundation for Promotion of Fundamental Medical Research.

Disclosures

Takanori Yamaguchi received honoraria from Abbott Medical Japan. Takanori Yamaguchi and Toyokazu Otsubo are affiliated with the Department of Advanced Management of Cardiac Arrhythmia, Saga University, sponsored by Abbott Medical Japan, Nihon Kohden Corporation, Japan Medtronic, Japan Lifeline, Boston Scientific Japan, and Fides‐ONE Corporation. The remaining authors have no disclosures to report.

Supporting information

Data S1–S2

Tables S1–S6

Figures S1–S12

Acknowledgments

We would like to acknowledge Kaori Yamaguchi and Yuriko Susuki from Saga University for their technical assistance in the analysis of voltage maps and preparation of histological assessment.

For Sources of Funding and Disclosures, see page 15.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data S1–S2

Tables S1–S6

Figures S1–S12


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