- Academic Editor
†These authors contributed equally.
Background: Previous studies have revealed the left atrial (LA) low
voltage zone (LVZ) are tightly linked to the recurrence of atrial fibrillation
(AF). Furthermore ablation that targets the LA LVZ can improve patient prognosis.
The aim of this study was to identify potential clinical predictors of the LA
LVZ, to investigate possible sex differences in the distribution of LA LVZ, and
to examine the relationship between LA LVZ and AF recurrence. Methods: A
total of 108 patients who underwent AF catheter ablation and LA high-density
electro-anatomic mapping were enrolled in the study. Of these, 56 patients with
LA LVZ
Atrial fibrillation (AF) is one of the most common cardiac arrhythmias worldwide [1, 2]. The risk of stroke, heart failure, and even cardiac death in patients with AF is significantly increased, thus severely impacting their quality of life and causing financial burden [3, 4].
The mechanism of AF is still controversial and has yet to be fully elucidated. It has been proposed that left atrial (LA) remodeling is strongly associated with the progression of AF, and that LA fibrosis is a major factor leading to LA remodeling [5, 6]. Many studies have shown that the LA low-voltage zone (LVZ), which can be identified by high-density electro-anatomic mapping, can be used to evaluate LA fibrosis [7]. Earlier work confirmed that the presence of LA LVZ has a negative impact on the success of AF catheter ablation and increases AF recurrence during follow-up [8, 9]. Targeting the LA LVZ has been shown to suppress the recurrence of AF [10, 11]. Identification of predictive factors for the presence of LA LVZ before the ablation procedure can therefore help to select the appropriate strategy and to evaluate patient prognosis.
The incidence, clinical manifestations and prognosis of AF differs by sex. Although the incidence of AF is lower in females, women are more likely to experience symptoms and AF recurrence [12, 13, 14]. The etiology underlying sex differences in AF have not been fully elucidated. A histological study found that females experience significantly more aggravation of fibrosis remodeling than males [13]. Exploration of the distribution of LA LVZ according to sex therefore seems warranted.
The aim of the present study was to investigate potential clinical predictors of LA LVZ, as well as sex differences in the distribution of LA LVZ. The relationship between LA LVZ and AF recurrence was also further evaluated in this study.
We enrolled 108 patients with paroxysmal or persistent AF who underwent AF
catheter ablation and LA high-density electro-anatomic mapping at the Beijing
Anzhen Hospital from January 2021 to January 2023. The exclusion criteria were:
(1) age
Baseline clinical characteristics for all patients were collected, including age, sex, body mass index, type of AF, comorbidities, history of smoking and drinking and other indicators. Laboratory results collected for the study included red blood cell count, white blood cell count, platelet count, as well as the levels of alanine aminotransferase, aspartate transaminase, brain natriuretic peptide (BNP), total bilirubin (TBIL), direct bilirubin, estimated glomerular filtration rate (eGFR), uric acid (UA), high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, complement component 1q, homocysteine and high-sensitivity C-reactive protein. Echocardiographic parameters including left ventricular ejection fraction (LVEF), left atrial diameter (LAD), and left ventricular end-diastolic dimension were also collected. The PR interval and corrected QT interval (QTc) of preoperative electrocardiograms were also measured.
All patients underwent transesophageal echocardiography to rule out LA thrombus prior to catheter ablation. Bilateral femoral vein punctures were performed under local anesthesia. A 6-F introducer sheath (Medtronic, Minneapolis, MN, USA) and a 7-F introducer sheath were then inserted into the left femoral vein. The right femoral vein was inserted with two 8.5-F long SL1 sheaths (St. Jude Medical, St. Paul, MN, USA) for transseptal puncture. A 10-polar diagnostic catheter was delivered into the coronary sinus via the 6-F introducer sheath, followed by two transseptal punctures. A High-Density Mapping Catheter (Biosense Webster, Diamond Bar, CA, USA) and an STSF ablation catheter (Biosense Webster, Diamond Bar, CA, USA) were delivered into the LA via the 8.5-F long SL1 sheaths. Mapping was performed using PentaRay under the guidance of a three-dimensional electro-anatomical mapping system (Biosense Webster, Inc., Diamond Bar, CA, USA), with the bipolar voltage recorded automatically at each point. After the completion of mapping, all patients underwent circumferential pulmonary vein isolation (CPVI) in a power control mode of 45 W and following standard protocols. If AF persisted after CPVI, additional atrial ablation methods (cavotricuspid isthmus ablation, LA linear ablation, or LVZ ablation) based on the high-density voltage mapping results were performed in order to terminate AF episodes. During this procedure, heparin was administered continuously to maintain a target activated clotting time of between 300–350 s.
The analysis of each electrogram was performed offline. Data acquisition was
limited by internal point filter software to ensure that only mapping points
within a distance of 7 mm from the acquired LA shell were selected for voltage
mapping. Low voltage was defined as a bipolar voltage
Left atrial (LA) low voltage zone (LVZ) assessment by high-density voltage mapping. Anterior-posterior (AP) and posterior-anterior (PA) views show how the LA was divided for analysis of the LA LVZ distribution (1 = anterior wall, 2 = septal wall, 3 = posterior wall, 4 = inferior wall, 5 = lateral wall).
Regular follow-up visits were conducted at 3 months, 6 months, 12 months, or
longer after radiofrequency catheter ablation (RFCA) in outpatient clinics, and
patients with less than 6 months of follow-up were excluded. At each visit,
patients were asked to give details of their symptoms. A 12-lead
electrocardiogram (ECG) or 24 h holter monitoring was also performed. For this
study cohort, AF recurrence was defined as the duration of an AF or atrial
flutter
All statistical analyses were performed using SPSS software (Version 25, IBM
Corp., Armonk, NY, USA). Continuous data with normal distribution were presented
as the mean
A total of 108 participants with paroxysmal or persistent AF were enrolled in
the study, including 56 patients in the LVZ group and 52 patients in the non-LVZ
group. Of these, 75 (69.4%) were male. The baseline clinical and laboratory
characteristics are shown in Tables 1,2. Patients in the LVZ
group had a higher proportion of persistent AF (p
Characteristic | Total (n = 108) | LVZ (n = 56) | Non-LVZ (n = 52) | p value |
Age (years) | 58.77 |
60.48 |
56.92 |
0.061 |
Female, n (%) | 33 (30.6) | 18 (32.1) | 15 (28.8) | 0.710 |
BMI, kg/m |
25.94 |
25.96 |
25.92 |
0.949 |
Persistent AF, n (%) | 43 (39.8) | 37 (66.1) | 6 (11.5) | |
HTN, n (%) | 56 (51.9) | 31 (55.4) | 25 (48.1) | 0.449 |
DM, n (%) | 37 (34.3) | 19 (33.9) | 18 (34.6) | 0.940 |
CAD, n (%) | 13 (12.0) | 9 (16.1) | 4 (7.7) | 0.181 |
HF, n (%) | 10 (9.3) | 9 (16.1) | 1 (1.9) | 0.028 |
Stroke, n (%) | 13 (12.0) | 8 (14.3) | 5 (9.6) | 0.456 |
Smoking, n (%) | 20 (18.5) | 13 (23.2) | 7 (13.5) | 0.192 |
Drinking, n (%) | 17 (15.7) | 12 (21.4) | 5 (9.6) | 0.092 |
LAD, mm | 39.87 |
41.89 |
37.69 |
|
LVEF, % | 62.04 |
60.38 |
63.83 |
0.009 |
LVEDD, mm | 48.01 |
48.66 |
47.31 |
0.156 |
LAV, mL | 106.37 |
119.62 |
92.11 |
|
PR interval, ms | 162.45 |
165.85 |
158.78 |
0.061 |
QTc, ms | 438.40 |
444.01 |
432.35 |
0.012 |
AF, atrial fibrillation; BMI, body mass index; CAD, coronary artery disease; DM, diabetes mellitus; HTN, hypertension; HF, heart failure; LAD, left atrial diameter; LAV, left atrial volume; LVZ, low voltage zone; LVEDD, left ventricular end-diastolic dimension; LVEF, left ventricular ejection fraction; QTc, corrected QT interval.
Characteristic | Total (n = 108) | LVZ (n = 56) | Non-LVZ (n = 52) | p value |
RBC, 10 |
4.78 |
4.76 |
4.80 |
0.659 |
WBC, 10 |
6.48 |
6.60 |
6.34 |
0.299 |
PLT, 10 |
209.44 |
205.59 |
213.58 |
0.346 |
Hb, g/L | 149.00 |
149.48 |
148.48 |
0.740 |
MCV, fL | 90.93 |
91.41 |
90.42 |
0.167 |
MCH, pg | 31.14 |
31.33 |
30.94 |
0.146 |
MCHC, g/L | 342.49 |
342.75 |
342.21 |
0.739 |
HCT, % | 43.47 |
43.55 |
43.38 |
0.843 |
RDW-SD, fL | 42.49 |
42.70 |
42.28 |
0.352 |
RDW-CV, % | 13.00 |
12.97 |
13.03 |
0.578 |
MPV, fL | 10.06 |
9.98 |
10.15 |
0.419 |
PCT, % | 0.21 |
0.20 |
0.22 |
0.077 |
PDW, % | 16.13 |
16.07 |
16.19 |
0.115 |
BNP, pg/mL | 92.00 (38.25–173.25) | 144.00 (97.50–264.50) | 42.00 (26.00–87.00) | |
ALT, U/L | 22.76 |
23.77 |
21.67 |
0.215 |
AST, U/L | 20.19 |
20.82 |
19.50 |
0.162 |
TP, g/L | 72.55 |
72.12 |
73.02 |
0.318 |
ALB, g/L | 45.92 |
45.61 |
46.26 |
0.258 |
TBIL, µmol/L | 14.37 |
16.37 |
12.22 |
0.004 |
DBIL, µmol/L | 5.11 |
5.51 |
4.68 |
0.065 |
GGT, U/L | 28.00 (18.00–37.75) | 28.00 (18.00–38.75) | 28.00 (18.75–36.75) | 0.794 |
CREA, µmol/L | 77.70 |
79.78 |
75.46 |
0.168 |
eGFR, mL/min/1.73 m |
89.16 |
85.99 |
92.58 |
0.034 |
UA, µmol/L | 351.00 |
369.38 |
331.21 |
0.045 |
GLU, mmol/L | 5.94 (5.17–7.49) | 5.73 (5.01–7.30) | 6.17 (5.17–7.51) | 0.563 |
GA, % | 13.54 |
13.52 |
13.56 |
0.950 |
LDH, U/L | 173.44 |
176.86 |
169.76 |
0.220 |
TG, mmol/L | 1.37 (0.97–2.16) | 1.36 (1.00–2.13) | 1.55 (0.94–2.19) | 0.780 |
TCHO, mmol/L | 4.45 |
4.34 |
4.57 |
0.227 |
HDL-C, mmol/L | 1.19 |
1.20 |
1.18 |
0.732 |
LDL-C, mmol/L | 2.59 |
2.48 |
2.71 |
0.137 |
LP(a), nmol/L | 34.69 (14.80–69.65) | 27.28 (14.80–56.22) | 42.53 (15.08–70.77) | 0.321 |
FFA, mmol/L | 0.52 (0.31–0.81) | 0.52 (0.38–0.73) | 0.54 (0.27–0.96) | 0.966 |
hs CRP, mg/L | 0.83 (0.52–2.08) | 0.89 (0.51–2.49) | 0.81 (0.54–1.66) | 0.638 |
C1q, mg/L | 184.90 |
179.79 |
190.41 |
0.062 |
HCY, µmol/L | 14.19 |
14.25 |
14.12 |
0.872 |
D-Dimer, ng/mL | 59.00 (40.00–93.25) | 63.00 (32.50–115.50) | 57.00 (44.00–89.00) | 0.574 |
ALB, albumin; ALT, alanine aminotransferase; AST, aspartate aminotransferase; BNP, brain natriuretic peptide; C1q, complement component 1q; TP, total protein; CREA, creatinine; DBIL, direct bilirubin; D-Dimer, D-dimer; eGFR, estimated glomerular filtration rate; FFA, free fatty acids; GA, glycated albumin; GLU, glucose; GGT, gamma-glutamyl transferase; Hb, hemoglobin; HCT, hematocrit; HCY, homocysteine; HDL-C, high-density lipoprotein cholesterol; hs CRP, high-sensitivity C-reactive protein; LDL-C, low-density lipoprotein cholesterol; LDH, lactate dehydrogenase; LDL-C, low-density lipoprotein cholesterol; LP(a), lipoprotein(a); LVZ, low voltage zone; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; MCV, mean corpuscular volume; MPV, mean platelet volume; PDW, platelet distribution width; PCT, plateletcrit; PLT, platelets; RDW-CV, red cell distribution width-coefficient of variation; RDW-SD, red cell distribution width-standard deviation; RBC, red blood cells; TBIL, total bilirubin; TG, triglycerides; TCHO, total cholesterol; UA, uric acid; WBC, white blood cells.
Univariate and multivariate logistic regression analyses were performed to investigate potential predictors for the presence of LA LVZ. Age, sex, type of AF, HF, LAV, LVEF, QTc, BNP, TBIL, eGFR and UA were included in the multivariate model. Multivariate logistic regression analysis revealed that persistent AF (odds ratio [OR] = 4.563, 95% confidence interval [CI]: 1.194–17.431, p = 0.026), LAV (OR = 1.030, 95% CI: 1.001–1.061, p = 0.044) and BNP (OR = 1.010, 95% CI: 1.002–1.019, p = 0.015) were independent predictors for the presence of LA LVZ. Detailed results for the univariate and multivariate analyses are shown in Table 3.
Variable | Univariate | p value | Multivariate | p value |
OR (95% CI) | OR (95% CI) | |||
Age | 1.039 (0.998–1.092) | 0.065 | ||
Female | 1.168 (0.514–2.656) | 0.710 | ||
Persistent AF | 14.930 (5.412–41.187) | 4.563 (1.194–17.431) | 0.026 | |
HF | 9.766 (1.192–90.042) | 0.034 | ||
LAV | 1.051 (1.028–1.074) | 1.030 (1.001–1.061) | 0.044 | |
LVEF | 0.920 (0.860–0.983) | 0.014 | ||
QTc | 1.022 (1.004–1.039) | 0.016 | ||
BNP | 1.016 (1.009–1.023) | 1.010 (1.002–1.019) | 0.015 | |
TBIL | 1.102 (1.028–1.182) | 0.006 | ||
eGFR | 0.974 (0.949–0.998) | 0.038 | ||
UA | 1.004 (1.000–1.008) | 0.048 |
LA, left atrial; AF, atrial fibrillation; BNP, brain natriuretic peptide; eGFR, estimated glomerular filtration rate; HF, heart failure; LAV, left atrial volume; LVEF, left ventricular ejection fraction; QTc, corrected QT interval; TBIL, total bilirubin; UA, uric acid; OR, odds ratio; CI, confidence interval; LVZ, low-voltage zone.
As shown in Table 4, LAV (OR = 1.028, 95% CI: 1.002–1.055, p = 0.035) and BNP (OR = 1.009, 95% CI: 1.001–1.016, p = 0.018) were also independent predictors of severe LA LVZ. In addition, female sex (OR = 7.161, 95% CI: 1.518–33.792, p = 0.013) was also found to be an independent predictor of severe LA LVZ.
Variable | Univariate | p value | Multivariate | p value |
OR (95% CI) | OR (95% CI) | |||
Age | 1.037 (0.993–1.082) | 0.101 | ||
Female | 2.008 (0.861–4.681) | 0.107 | 7.161 (1.518–33.792) | 0.013 |
Persistent AF | 7.508 (3.080–18.303) | |||
LAV | 1.038 (1.019–1.058) | 1.028 (1.002–1.055) | 0.035 | |
QTc | 1.023 (1.004–1.043) | 0.017 | ||
BNP | 1.016 (1.009–1.023) | 1.009 (1.001–1.016) | 0.018 | |
MCH | 1.550 (1.121–2.143) | 0.008 | ||
PDW | 0.316 (0.108–0.928) | 0.036 | ||
TBIL | 1.112 (1.039–1.192) | 0.002 |
LA, left atrial; AF, atrial fibrillation; BNP, brain natriuretic peptide; LAV, left atrial volume; MCH, mean corpuscular hemoglobin; PDW, platelet distribution width; QTc, corrected QT interval; TBIL, total bilirubin; OR, odds ratio; CI, confidence interval; LVZ, low-voltage zone.
BNP was moderately correlated with LA LVZ in all patients (r = 0.539, p
Correlations between predictive factors and LA LVZ in male and female patients. (A) BNP and LA LVZ in all patients; (B) BNP and LA LVZ in males; (C) BNP and LA LVZ in females; (D) LAV and LA LVZ in all patients; (E) LAV and LA LVZ in males; (F) LAV and LA LVZ in females. LA, left atrial; LVZ, low-voltage zone; LAV, left atrial volume; BNP, brain natriuretic peptide.
The LVZ group contained 56 patients (38 males and 18 females). The extent of
global LA LVZ in females was significantly greater than that in males (32.8%
The LA LVZ distribution in male and female patients. The bar
charts show mean and standard error values. LA, left atrial; LVZ, low-voltage
zone; *, p
For the investigation of AF recurrence, 24 patients with
The Kaplan-Meier curves of freedom from AF recurrence in patients with LA LVZ and those without LA LVZ. AF, atrial fibrillation; LA, left atrial; LVZ, low-voltage zone.
Variable | Univariate | p value | Multivariate | p value |
HR (95% CI) | HR (95% CI) | |||
Age | 1.094 (1.038–1.153) | 0.001 | 1.118 (1.042–1.200) | 0.002 |
Female | 1.658 (0.651–4.218) | 0.289 | ||
Persistent AF | 3.009 (1.183–7.656) | 0.021 | ||
LAV | 1.019 (1.007–1.032) | 0.002 | ||
BNP | 1.006 (1.003–1.010) | |||
Extent of LA LVZ | 1.049 (1.024–1.074) | 1.045 (1.003–1.088) | 0.034 |
AF, atrial fibrillation; BNP, brain natriuretic peptide; LA, left atrial; LAV, left atrial volume; LVZ, low-voltage zone; HR, hazard ratio; CI, confidence interval.
The results of this study showed that persistent AF, LAV and BNP are independent predictors for the presence of LA LVZ, and that female sex, LAV and BNP are independent predictors of severe LA LVZ. Furthermore, females had a significantly higher incidence of LVZ, particularly in the anterior and septal walls. We also confirmed that patients with LA LVZ had a higher risk of recurrent AF.
Pulmonary vein isolation is the first-line treatment for patients with symptomatic and drug-refractory AF. However, AF recurrence occurs in 22% to 50% of patients, with up to 70% showing persistent AF during follow-up [19, 20, 21]. A possible explanation for these observations could be the presence of non-pulmonary vein (PV) foci caused by LA fibrosis. Currently, only a few methods are available to evaluate LA fibrosis. Several studies have shown that late gadolinium enhancement-magnetic resonance imaging is the gold standard for evaluating LA fibrosis [22, 23]. However, this method is costly, cumbersome, and can only be carried out in experienced imaging centers, thus limiting its practical value in the clinic. High-density electro-anatomic mapping is a viable alternative that can be used to assess the extent of LA fibrosis by mapping the LA LVZ. Previous studies have shown that the presence of LA LVZ is closely associated with AF recurrence and increased stroke incidence in patients with AF [24, 25, 26]. Ablation that targets the LA LVZ can improve the long-term prognosis of patients [27]. The identification of practical predictors for the presence of LA LVZ is crucial because it would allow more accurate evaluation of prognosis and help in the selection of a suitable ablation strategy. However, since the evaluation of LA LVZ requires electrophysiological analysis with intracardiac electrodes, it is important to find alternative methods to identify LA LVZ.
In the present study, persistent AF was found to be an independent predictor of LA LVZ. This is consistent with previous reports that the LA LVZ area in patients with persistent AF is larger than in patients with paroxysmal AF [18]. This may explain the high recurrence rate after PV isolation (PVI) alone in patients with persistent AF, and suggests that ablation targeted at the LA LVZ could improve their long-term outcome [28, 29].
Previous studies have identified BNP as a predictor of new onset AF and of AF recurrence following catheter ablation [30, 31, 32]. BNP can also predict the occurrence of stroke and other complications in patients with AF [33, 34]. However, so far there have been few studies on the relationship between BNP levels and atrial fibrosis [35]. Moreover, possible correlations between the severity of LA LVZ and BNP levels according to sex have yet to be reported. BNP is a common index that reflects cardiac load in clinical practice. Increased LA pressure and stretch during episodes of AF can promote atrial secretion of BNP, independently of ventricular secretion [36, 37]. Some authors have proposed that atrial stretch is an important stimulus for fibrosis [38], suggesting the BNP level can in theory reflect the degree of LA fibrosis. In the present cohort, BNP was a strong predictor of the presence of LA LVZ, as well as of severe LA LVZ. The BNP level was also moderately correlated with LA LVZ in the overall patient cohort. Our results further demonstrate that the BNP level is associated with the degree of atrial fibrosis.
New biomarkers have become a very active area of research in recent years. An
increasing number of biomarkers have been reported to be closely correlated with
LA LVZ, including miRNA-21, soluble suppression of tumorigenicity 2
protein (ST2), interleukin-17A, and interferon-
In the present study we demonstrated that LAV is an independent predictor of both LA LVZ and severe LA LVZ, consistent with the results from other groups [42, 43]. We also showed that LAV was moderately correlated with LA LVZ in the overall patient cohort and in males, and strongly correlated with LA LVZ in females. To our knowledge, this sex difference has not been reported in previous studies.
In addition to focusing on particular independent predictors, recent studies
have also developed models to predict the presence of LA LVZ. In 2015, Kosiuk
et al. [44], created and validated the DR-FLASH score based on diabetes
mellitus, renal dysfunction, persistent AF, LA diameter
The incidence, clinical manifestations, and prognosis of AF differ between males and females. It is well established that females have a lower incidence of AF than males, but are more likely to experience AF recurrence after catheter ablation, as well as stroke, heart failure, and even death [48, 49, 50]. However, the mechanisms that underlie sex differences in AF have not been fully elucidated. Some studies have shown that female sex is predictive of LA LVZ [43]. However, sex differences in the distribution of LA LVZ have not been reported in previous studies. In the current study, female sex was an independent predictor of severe LA LVZ. Females were also found to have a significantly greater extent of LA LVZ than males, especially in the anterior and septal walls, suggesting they may have more severe LA fibrosis than males. This observation may explain why female patients are more likely to experience AF recurrence, stroke and other complications than male patients, and could also be used to inform the choice of ablation strategy.
Finally, we explored the relationship between LA LVZ and AF recurrence. Patients with LA LVZ were found to have a higher risk of recurrent AF and the extent of LA LVZ was a powerful risk factor for AF recurrence, in line with previous studies [26, 40]. The finding strongly suggested that it is highly desirable to explore independent predictor of LA LVZ. However, additional large-scale studies are needed to confirm this finding.
This was a single-center study with a relatively small sample size, and hence further validation is needed to determine whether these findings can be generalized. Secondly, left atrial appendage (LAA) was not adequately modeled in a significant number of cases, which could affect the accuracy of the results. Thirdly, some of the cases in this study were mapped under AF rhythm. Although previous studies have confirmed the feasibility of using 0.3 mV as the threshold for LVZ under AF rhythm, the effect of this method on the LVZ area is unknown.
In conclusion, this study demonstrated that persistent AF, LAV and BNP were associated with LA LVZ in patients with AF. Furthermore, we found that female sex, LAV and BNP were associated with severe LA LVZ. Female patients exhibited greater extent of LVZ than male patients, especially in the anterior and septal walls. Finally, the presence of LA LVZ was strongly associated with an increased risk of AF recurrence and the extent of LA LVZ had an independent predictive value for AF recurrence after RFCA.
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
YX and FH completed the writing of the paper, YX designed the research study. FH applied for the database. FH and YW were responsible for the statistical analysis and interpretation of data. YW and FH were responsible for the revision of the paper. All authors confirmed the final version of the paper. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.
The studies involving human participants were reviewed and approved by the Ethics Committee of Beijing Anzhen Hospital (Approval number is 2023096X). The patients/participants provided their written informed consent to participate in this study.
Not applicable.
This research received no external funding.
The authors declare no conflict of interest.
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