Abstract

Aims

To investigate the exact prevalence of glucose metabolism disorders, and their impact on left atrial (LA) remodelling and reversibility in patients with atrial fibrillation (AF).

Methods and results

We examined 204 consecutive patients with AF who underwent their first catheter ablation (CA). Oral glucose tolerance test was used to evaluate glucose metabolism disorders in 157 patients without known diabetes mellitus (DM). Echocardiography was performed before and 6 months after CA. Oral glucose tolerance test identified abnormal glucose metabolism in 86 patients [11 with newly diagnosed DM, 74 with impaired glucose tolerance (IGT) and 1 with impaired fasting glucose (IFG)]. Ultimately, 65.2% of patients had abnormal glucose metabolism. Diabetes mellitus group had the worst LA reservoir strain and LA stiffness (both P < 0.05), while there was no significant difference in baseline LA parameters between normal glucose tolerance (NGT) group and IGT/IFG group. The prevalence of LA reverse remodelling (≥15% decrease in the LA volume index at 6 months after CA) was significantly higher in NGT group compared with IGT/IFG and DM group (64.1 vs. 38.6 vs. 41.5%, P = 0.006). Both DM and IFG/IGT carry a significant risk of lack of LA reverse remodelling independent of baseline LA size and AF recurrence.

Conclusion

Approximately 65% of patients with AF who underwent their first CA had abnormal glucose metabolism. Patients with DM had significantly impaired LA function compared with non-DM patients. Impaired glucose tolerance/IFG as well as DM carries significant risk of unfavourable LA reverse remodelling. Our observations may provide valuable information regarding the mechanisms and therapeutic strategies of glucose metabolism-related AF.

What’s new?
  • Approximately 65% of patients with atrial fibrillation (AF) and 55% of those who had no history of diabetes mellitus (DM) had abnormal glucose metabolism including DM, impaired glucose tolerance (IGT) and impaired fasting glucose (IFG).

  • Patients with DM had significantly reduced left atrial (LA) function and increased LA stiffness compared with those with non-DM. Impaired glucose tolerance/IFG was not associated with unfavourable LA remodelling at baseline, while IGT/IFG carried a significant risk for unfavourable LA reverse remodelling after catheter ablation, independent of AF recurrence and baseline LA size.

Introduction

Atrial fibrillation (AF), the most frequent sustained cardiac arrhythmia, is an emerging epidemic and conveys profound morbidity and mortality.1–4 Furthermore, AF and its comorbidities impose economic consequences, with annual health care costs of 26 billion dollars in the USA.5 Left atrial (LA) structural and functional remodelling plays a pivotal role in the pathogenesis of the occurrence, persistence, and recurrence of AF.6–10 Furthermore, successful catheter ablation (CA) of AF and restoration of a stable sinus rhythm can result in a significant LA volume reduction; LA reverse remodelling11,12 is a surrogate marker of favourable outcomes, although the degree of reverse remodelling varies among individuals.13,14

Epidemiological studies have identified diabetes mellitus (DM) as an independent risk for AF occurrence conferring a 40% increased risk,15 while impaired glucose tolerance (IGT) and impaired fasting glucose (IFG) provided conflicting results.16–18 However, the prevalence of abnormal glucose metabolism and its association with LA morphological and functional remodelling in the setting of AF is not well described. Furthermore, the impact of abnormal glucose metabolism on LA reverse remodelling after CA is also unknown. Evaluation of the exact prevalence of glucose metabolism disorder in patients with AF, and its association with LA remodelling before and after CA, might provide useful information regarding the pathogenic mechanisms linking abnormal glucose metabolism and AF, and may enhance therapeutic strategies for AF. Accordingly, the aim of this study was to investigate: (i) the prevalence of abnormal glucose metabolism, including IGT, IFG, and DM, (ii) the association of abnormal glucose metabolism with LA size and function, and (iii) the impact of glucose metabolism disorders on LA reverse remodelling in patients with AF who underwent first CA.

Methods

Study population

This study prospectively included 204 consecutive patients with AF, who underwent first CA between May 2019 and March 2022 at the University of Tokyo Hospital. The exclusion criteria were as follows: (i) congenital heart disease, (ii) moderate or severe valvular disease, (iii) dilated or hypertrophic cardiomyopathy, (iv) history of cardiothoracic surgery within 3 months, (v) history of pacemaker implantation, and (vi) renal insufficiency on haemodialysis. Atrial fibrillation was defined as ‘paroxysmal’ when the arrhythmia self-terminated within 7 days, and ‘persistent’ when the AF episode persisted for 7 days or pharmacological or electrical cardioversion was required to terminate the arrhythmia.19 All study participants gave written informed consent. The investigation conformed to the principles outlined in the Declaration of Helsinki, and the study was approved by the institutional ethics committee of the University of Tokyo (2018120NI).

Risk factor assessment and laboratory examination

Hypertension was defined as systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg or the use of antihypertensive drugs. Dyslipidaemia was defined as total serum cholesterol >240 mg/dL or the use of lipid lowering medications. Body mass index (BMI) was calculated as body weight (kg) divided by height-squared (m2). All blood samples were collected with patients in the sitting position, and measurements included fasting serum glucose, insulin, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, γ-glutamyl transpeptidase, uric acid, C-reactive protein (CRP), and B-type natriuretic peptide (BNP). The estimated glomerular filtration rate (eGFR) was calculated using the abbreviated Modification of Diet in Renal Disease formula: eGFR (mL/min/1.73 m2) = 194 × (serum creatinine)−1.094 × (age)−0.287 ×(0.739 if woman). Interleukin-6 (IL-6) and carboxy-terminal telopeptide of procollagen Type I (ICTP) levels in all patients were measured at a commercial laboratory (IL-6; electrochemiluminescence immunoassay, ICTP; radioimmunoassay; SRL, Inc., Tokyo, Japan).

Definition of abnormal glucose metabolism

Patients without known DM underwent a standardized procedure of 75 g oral glucose tolerance test (OGTT). The abnormalities in glucose metabolism were defined according to the 2006 WHO criteria20: DM was defined as fasting glucose ≥126 mg/dL, the use of insulin or hypoglycaemic agents, or 2 h plasma glucose ≥200 mg/dL; IGT as fasting plasma glucose <126 mg/dL, and 2 h plasma glucose ≥140 mg/dL but <200 mg/dL; IFG as fasting plasma glucose 110–125 mg/dL and 2 h plasma glucose <140 mg/dL; normal glucose tolerance (NGT) as fasting plasma glucose <110 mg/dL and 2 h plasma glucose <140 mg/dL. Homeostatic model assessment of insulin resistance (HOMA-IR) was also calculated from the following validated formula: HOMA-IR = fasting insulin (μU/mL) × fasting blood glucose (mg/dL)/405.21

Echocardiographic examination

Transthoracic echocardiography was performed using a commercially available system, Vivid E95 (GE Vingmed Ultrasound, Horten, Norway) or EPIQ 7 (Koninklijke Philips NV, The Netherlands), 1–4 days before and 6 months after CA. All images were acquired according to a standardized protocol by experienced and registered cardiologists, who were blinded to clinical information. The dimensions of the cardiac chambers were measured in the standard manner.22 Left ventricular (LV) mass was calculated by a validated Devereux’s formula22: LV mass = 0.8{1.04[(SWT + LVEDD + PWT)3-LVEDD3]} + 0.6, where SWT = LV end-diastolic septal wall thickness, LVEDD = LV end-diastolic diameter, and PWT = LV end-diastolic posterior wall thickness. Left atrial volume was measured from the apical two- and four-chamber views, using the biplane Simpson’s rule.22 Left ventricular mass and LA volume were indexed for body surface area. Pulsed-wave Doppler examination of mitral inflow was performed to measure early peak velocity (E). Peak early diastolic mitral annular velocity (e′) was also measured from tissue Doppler imaging in the septal and lateral mitral annulus. The ratio of E to mean e′ was then calculated (E/e′).

Speckle-tracking analysis was performed off-line using vendor independent and commercially available software (2D Cardiac Performance Analysis; TomTec Imaging System, Germany). Semi-automated border detection was performed, and the LA border was tracked throughout the cardiac cycle. Manual correction was performed in case of inadequate endocardial detection. Left atrial reservoir strain was obtained by averaging peak values of LA segmental strains from the apical two- and four-chamber views with the onset of the QRS complex used as the zero-reference point (R-R gating), according to guideline recommendations.23,24 Left atrial stiffness was also estimated by the ratio of E/e′ to LA reservoir strain.25,26

Catheter ablation procedure and assessment of left atrial reverse remodelling

Catheter ablation was performed under sedation. All patients underwent pulmonary vein isolation by point-by-point radiofrequency energy (N = 128) or the balloon technique (N = 76) to restore sinus rhythm, with an endpoint of bidirectional block between the LA and the inside of the circumferential pulmonary vein isolation area. Additional procedures including cavotricuspid isthmus ablation, superior vena cava isolation, roof line, and mitral isthmus line ablation were performed according to the physician’s discretion. After the first procedure, patients underwent a follow-up evaluation every 1–2 months in the outpatient clinic. The presence of AF and/or atrial tachycardia was evaluated on the basis of symptoms, electrocardiogram (ECG) recordings, event recordings, and 24 h ambulatory monitoring (3 and 6 months after CA). Arrhythmia recurrence was identified by ECG documentation of an atrial tachyarrhythmia lasting ≥30 s on a 12-lead ECG, or Holter monitor recording after a 2-month blanking period from the CA procedure. The presence of LA reverse remodelling was defined as a ≥15% decrease in the LA volume index 6 months after CA according to previous studies.11,12

Statistical analysis

Continuous variables were presented as mean ± standard deviation (SD) or median (interquartile range) and compared using analysis of variance with the Tukey–Kramer post hoc analysis, or a Kruskal–Wallis test with the post-test Dunn correction, as appropriate. Categorical variables were described as numbers and proportions, and compared using the χ2 test or Fisher’s exact test. Associations between glucose metabolism and LA parameters were assessed by univariable and multivariable linear regression analyses. Factors related at the P < 0.05 level were selected as independent variables for multivariable analysis. Kaplan–Meier survival curve was used to represent AF-free survival and was compared with a log-rank test. Univariable and multivariable logistic regression models were also constructed to investigate the impact of abnormal glucose metabolism on the lack of LA reverse remodelling (<15% decrease or an increase in the LA volume index after CA). Inter-observer variability for LA reservoir strain was analysed in 15 randomly selected patients assessed by 2 independent and blinded observers. The results were analysed using Pearson correlation analysis and the Bland–Altman method. A value of P < 0.05 was considered significant. Statistical analyses were performed using JMP 14 software (SAS Institute, Cary, NC, USA).

Results

Prevalence of abnormal glucose metabolism

The median age was 66 (25th–75th percentile, 58–72) years, and 152 (74.5%) of the patients were men. Atrial fibrillation was paroxysmal in 108 patients (52.9%) and persistent in 96 patients (47.1%). Among the study participants, 47 patients were diagnosed with Type 2 DM before the 75 g OGTT. All patients without a diagnosis of DM (N = 157) underwent the 75 g OGTT. Eleven patients were newly diagnosed with DM, 74 patients had IGT, 1 patient had IFG, and 71 patients had NGT (Figure 1). As a result, abnormal glucose metabolism was detected in 133 (65.2%) patients with AF, including 58 (28.4%) with DM and 75 (36.8%) with IGT/IFG.

Flow chart of the study population illustrating the diagnostic process of abnormal glucose metabolism. AF, atrial fibrillation; DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; NGT, normal glucose tolerance; OGTT, oral glucose tolerance test.
Figure 1

Flow chart of the study population illustrating the diagnostic process of abnormal glucose metabolism. AF, atrial fibrillation; DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; NGT, normal glucose tolerance; OGTT, oral glucose tolerance test.

Association of glucose metabolism with demographics and biomarkers

Clinical characteristics of the study population stratified by glucose metabolism are summarized in Table 1. Patients with IGT/IFG and DM were older than those with NGT. The prevalence of hypertension, dyslipidaemia, and current smoking was significantly different among the three groups (all P < 0.05), while AF type, BMI, and heart rate were not. As for the laboratory parameters, circulating BNP and IL-6 levels were highest in the DM group (both P < 0.05). On the other hand, ICTP concentration, which reflects collagen degradation, showed no significant differences across the three groups.

Table 1

Baseline characteristics and echocardiographic measures of the study population stratified by glucose metabolism

NGT (n = 71)IGT/IFG (n = 75)DM (n = 58)P-value
Age, years60 (51–69)67 (61–73)*68 (64–73)*<0.001
Men, n (%)47 (66.2)54 (72.0)51 (87.9)0.016
Persistent AF, n (%)38 (53.5)28 (37.3)30 (51.7)0.103
Duration of AF, months8 (3–24)4 (3–10)*7 (4–24)0.014
Duration of DM, years6 (1–12)N/A
Hypertension, n (%)27 (38.0)42 (56.0)36 (62.1)0.015
Dyslipidaemia, n (%)23 (32.4)29 (38.7)31 (53.4)0.048
Current smoking, n (%)9 (12.7)2 (2.7)11 (19.0)0.009
Body mass index, kg/m223.5 (21.8–26.0)24.7 (22.4–27.0)24.8 (23.2–26.7)0.103
Systolic blood pressure, mmHg112 (104–132)124 (112–138)*120 (108–131)0.037
Diastolic blood pressure, mmHg64 (60–72)70 (62–78)68 (60–74)0.056
Heart rate, beats/min74 (66–83)77 (65–83)77 (67–84)0.828
CHADS2 score0 (0–1)1 (0–1)2 (1–2)*,<0.001
CHA2DS2-VASc score1 (0–2)2 (1–3)3 (2–4)*,<0.001
Laboratory parameters
 White blood cell, /μL5700 (4700–6600)5500 (4800–6400)6350 (5300–7300)0.039
 Red blood cell distribution width, %12.8 (12.2–13.2)13.0 (12.6–13.7)13.2 (12.6–13.8)*0.026
 Fasting glucose, mg/dL91 (85–95)98 (92–101)*123 (99–174)*,<0.001
 Fasting insulin, μU/mL4.8 (3.0–6.0)5.6 (3.4–8.2)7.8 (4.4–15.7)*,<0.001
 HOMA-IR1.01 (0.65–1.41)1.27 (0.81–2.04)2.28 (1.24–5.96)*,<0.001
 HbA1c, %5.7 (5.4–5.9)5.8 (5.6–5.9)6.7 (6.2–7.3)*,<0.001
 Total cholesterol, mg/dL204 ± 36199 ± 32185 ± 37*0.012
 LDL cholesterol, mg/dL120 ± 32118 ± 28103 ± 30*,0.003
 HDL cholesterol, mg/dL62 (51–75)56 (48–68)55 (45–67)0.062
 eGFR, mL/min/1.73 m268 ± 1467 ± 1563 ± 140.173
 γ−GTP, IU/L31 (20–64)40 (26–81)35 (20–59)0.089
 Uric acid, mg/dL6.1 ± 1.36.2 ± 1.55.9 ± 1.40.579
 C-reactive protein, mg/dL0.05 (0.03–0.10)0.06 (0.03–0.11)0.08 (0.03–0.19)0.179
 B-type natriuretic peptide, pg/mL57.7 (26.1–132.0)43.7 (22.5–95.0)89.9 (36.8–181.8)0.005
 Interleukin-6, pg/mL1.1 (0.8–1.9)1.2 (0.8–1.9)1.9 (1.3–3.1)*,<0.001
 ICTP, ng/mL3.9 (3.2–4.9)3.9 (3.0–5.1)4.1 (3.3–5.3)0.427
Medications
 RAAS blocker, n (%)15 (21.1)24 (32.0)28 (48.3)0.005
 β-Blocker, n (%)25 (35.2)37 (49.3)23 (39.7)0.209
 Calcium channel blocker, n (%)16 (22.5)29 (38.7)27 (46.6)0.013
 Statin, n (%)13 (18.3)17 (22.7)26 (44.8)0.002
 Oral anti-diabetic drug, n (%)0 (0.00)0 (0.00)36 (62.1)<0.001
 Insulin, n (%)0 (0.00)0 (0.00)6 (10.3)<0.001
 Antiarrhythmic drug, n (%)25 (35.2)20 (26.7)18 (31.0)0.536
Ablation procedure characteristics
 PV isolation, n (%)71 (100.0)75 (100.0)58 (100.0)N/A
 Line lesion, n (%)1 (1.4)3 (4.0)5 (8.6)0.136
 SVC isolation, n (%)2 (2.8)1 (1.3)1 (1.7)0.802
 Cavotricuspid isthmus, n (%)13 (18.3)17 (22.7)17 (29.3)0.335
Echocardiographic parameters
 LV end-diastolic diameter, mm46.5 ± 4.745.2 ± 5.547.5 ± 4.60.031
 LV end-systolic diameter, mm30.6 (28.3–34.1)28.3 (25.8–32.1)*31.9 (28.3–34.2)0.007
 LV ejection fraction, %62.4 (55.3–67.0)63.9 (58.0–68.3)61.7 (55.4–65.1)0.240
 LV mass index, g/m278.8 (71.9–92.8)78.3 (70.3–98.9)95.9 (79.7–108.8)*,<0.001
E wave, cm/s72.4 (59.0–85.3)66.5 (58.7–80.5)74.1 (63.0–85.3)0.093
e′, cm/s9.3 (7.7–11.3)8.4 (6.7–9.6)*8.0 (7.0–9.2)*<0.001
E/e′ ratio7.7 (6.3–9.7)7.9 (6.8–9.8)9.5 (7.8–11.5)*,0.001
 LA diameter, mm40.0 (34.3–43.0)39.4 (33.7–42.7)40.9 (37.1–44.4)0.168
 LA volume index, mL/m235.5 (29.0–45.5)32.0 (26.2–40.2)39.2 (30.6–43.1)0.045
 LA reservoir strain, %21.1 (12.6–32.0)25.5 (15.1–36.0)16.7 (13.2–25.8)0.002
 LA stiffness0.36 (0.26–0.61)0.33 (0.23–0.53)0.52 (0.36–0.81)*,<0.001
NGT (n = 71)IGT/IFG (n = 75)DM (n = 58)P-value
Age, years60 (51–69)67 (61–73)*68 (64–73)*<0.001
Men, n (%)47 (66.2)54 (72.0)51 (87.9)0.016
Persistent AF, n (%)38 (53.5)28 (37.3)30 (51.7)0.103
Duration of AF, months8 (3–24)4 (3–10)*7 (4–24)0.014
Duration of DM, years6 (1–12)N/A
Hypertension, n (%)27 (38.0)42 (56.0)36 (62.1)0.015
Dyslipidaemia, n (%)23 (32.4)29 (38.7)31 (53.4)0.048
Current smoking, n (%)9 (12.7)2 (2.7)11 (19.0)0.009
Body mass index, kg/m223.5 (21.8–26.0)24.7 (22.4–27.0)24.8 (23.2–26.7)0.103
Systolic blood pressure, mmHg112 (104–132)124 (112–138)*120 (108–131)0.037
Diastolic blood pressure, mmHg64 (60–72)70 (62–78)68 (60–74)0.056
Heart rate, beats/min74 (66–83)77 (65–83)77 (67–84)0.828
CHADS2 score0 (0–1)1 (0–1)2 (1–2)*,<0.001
CHA2DS2-VASc score1 (0–2)2 (1–3)3 (2–4)*,<0.001
Laboratory parameters
 White blood cell, /μL5700 (4700–6600)5500 (4800–6400)6350 (5300–7300)0.039
 Red blood cell distribution width, %12.8 (12.2–13.2)13.0 (12.6–13.7)13.2 (12.6–13.8)*0.026
 Fasting glucose, mg/dL91 (85–95)98 (92–101)*123 (99–174)*,<0.001
 Fasting insulin, μU/mL4.8 (3.0–6.0)5.6 (3.4–8.2)7.8 (4.4–15.7)*,<0.001
 HOMA-IR1.01 (0.65–1.41)1.27 (0.81–2.04)2.28 (1.24–5.96)*,<0.001
 HbA1c, %5.7 (5.4–5.9)5.8 (5.6–5.9)6.7 (6.2–7.3)*,<0.001
 Total cholesterol, mg/dL204 ± 36199 ± 32185 ± 37*0.012
 LDL cholesterol, mg/dL120 ± 32118 ± 28103 ± 30*,0.003
 HDL cholesterol, mg/dL62 (51–75)56 (48–68)55 (45–67)0.062
 eGFR, mL/min/1.73 m268 ± 1467 ± 1563 ± 140.173
 γ−GTP, IU/L31 (20–64)40 (26–81)35 (20–59)0.089
 Uric acid, mg/dL6.1 ± 1.36.2 ± 1.55.9 ± 1.40.579
 C-reactive protein, mg/dL0.05 (0.03–0.10)0.06 (0.03–0.11)0.08 (0.03–0.19)0.179
 B-type natriuretic peptide, pg/mL57.7 (26.1–132.0)43.7 (22.5–95.0)89.9 (36.8–181.8)0.005
 Interleukin-6, pg/mL1.1 (0.8–1.9)1.2 (0.8–1.9)1.9 (1.3–3.1)*,<0.001
 ICTP, ng/mL3.9 (3.2–4.9)3.9 (3.0–5.1)4.1 (3.3–5.3)0.427
Medications
 RAAS blocker, n (%)15 (21.1)24 (32.0)28 (48.3)0.005
 β-Blocker, n (%)25 (35.2)37 (49.3)23 (39.7)0.209
 Calcium channel blocker, n (%)16 (22.5)29 (38.7)27 (46.6)0.013
 Statin, n (%)13 (18.3)17 (22.7)26 (44.8)0.002
 Oral anti-diabetic drug, n (%)0 (0.00)0 (0.00)36 (62.1)<0.001
 Insulin, n (%)0 (0.00)0 (0.00)6 (10.3)<0.001
 Antiarrhythmic drug, n (%)25 (35.2)20 (26.7)18 (31.0)0.536
Ablation procedure characteristics
 PV isolation, n (%)71 (100.0)75 (100.0)58 (100.0)N/A
 Line lesion, n (%)1 (1.4)3 (4.0)5 (8.6)0.136
 SVC isolation, n (%)2 (2.8)1 (1.3)1 (1.7)0.802
 Cavotricuspid isthmus, n (%)13 (18.3)17 (22.7)17 (29.3)0.335
Echocardiographic parameters
 LV end-diastolic diameter, mm46.5 ± 4.745.2 ± 5.547.5 ± 4.60.031
 LV end-systolic diameter, mm30.6 (28.3–34.1)28.3 (25.8–32.1)*31.9 (28.3–34.2)0.007
 LV ejection fraction, %62.4 (55.3–67.0)63.9 (58.0–68.3)61.7 (55.4–65.1)0.240
 LV mass index, g/m278.8 (71.9–92.8)78.3 (70.3–98.9)95.9 (79.7–108.8)*,<0.001
E wave, cm/s72.4 (59.0–85.3)66.5 (58.7–80.5)74.1 (63.0–85.3)0.093
e′, cm/s9.3 (7.7–11.3)8.4 (6.7–9.6)*8.0 (7.0–9.2)*<0.001
E/e′ ratio7.7 (6.3–9.7)7.9 (6.8–9.8)9.5 (7.8–11.5)*,0.001
 LA diameter, mm40.0 (34.3–43.0)39.4 (33.7–42.7)40.9 (37.1–44.4)0.168
 LA volume index, mL/m235.5 (29.0–45.5)32.0 (26.2–40.2)39.2 (30.6–43.1)0.045
 LA reservoir strain, %21.1 (12.6–32.0)25.5 (15.1–36.0)16.7 (13.2–25.8)0.002
 LA stiffness0.36 (0.26–0.61)0.33 (0.23–0.53)0.52 (0.36–0.81)*,<0.001

Values are mean ± SD, n (percentage), or median (25th–75th percentile).

AF, atrial fibrillation; DM, diabetes mellitus; E, early diastolic transmitral flow velocity; e′, early diastolic mitral annular velocity; eGFR, estimated glomerular filtration rate; GTP, glutamyl transpeptidase; HDL, high-density lipoprotein; ICTP, carboxy-terminal telopeptide of procollagen Type I; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; HOMA-IR, homeostatic model assessment of insulin resistance; LA, left atrium; LDL, low-density lipoprotein; LV, left ventricle; NGT, normal glucose tolerance; PV, pulmonary vein; RAAS, renin-angiotensin-aldosterone system; SVC, superior vena cava.

*

P < 0.05 compared with NGT group.

P < 0.05 compared with IGT/IFG group.

Table 1

Baseline characteristics and echocardiographic measures of the study population stratified by glucose metabolism

NGT (n = 71)IGT/IFG (n = 75)DM (n = 58)P-value
Age, years60 (51–69)67 (61–73)*68 (64–73)*<0.001
Men, n (%)47 (66.2)54 (72.0)51 (87.9)0.016
Persistent AF, n (%)38 (53.5)28 (37.3)30 (51.7)0.103
Duration of AF, months8 (3–24)4 (3–10)*7 (4–24)0.014
Duration of DM, years6 (1–12)N/A
Hypertension, n (%)27 (38.0)42 (56.0)36 (62.1)0.015
Dyslipidaemia, n (%)23 (32.4)29 (38.7)31 (53.4)0.048
Current smoking, n (%)9 (12.7)2 (2.7)11 (19.0)0.009
Body mass index, kg/m223.5 (21.8–26.0)24.7 (22.4–27.0)24.8 (23.2–26.7)0.103
Systolic blood pressure, mmHg112 (104–132)124 (112–138)*120 (108–131)0.037
Diastolic blood pressure, mmHg64 (60–72)70 (62–78)68 (60–74)0.056
Heart rate, beats/min74 (66–83)77 (65–83)77 (67–84)0.828
CHADS2 score0 (0–1)1 (0–1)2 (1–2)*,<0.001
CHA2DS2-VASc score1 (0–2)2 (1–3)3 (2–4)*,<0.001
Laboratory parameters
 White blood cell, /μL5700 (4700–6600)5500 (4800–6400)6350 (5300–7300)0.039
 Red blood cell distribution width, %12.8 (12.2–13.2)13.0 (12.6–13.7)13.2 (12.6–13.8)*0.026
 Fasting glucose, mg/dL91 (85–95)98 (92–101)*123 (99–174)*,<0.001
 Fasting insulin, μU/mL4.8 (3.0–6.0)5.6 (3.4–8.2)7.8 (4.4–15.7)*,<0.001
 HOMA-IR1.01 (0.65–1.41)1.27 (0.81–2.04)2.28 (1.24–5.96)*,<0.001
 HbA1c, %5.7 (5.4–5.9)5.8 (5.6–5.9)6.7 (6.2–7.3)*,<0.001
 Total cholesterol, mg/dL204 ± 36199 ± 32185 ± 37*0.012
 LDL cholesterol, mg/dL120 ± 32118 ± 28103 ± 30*,0.003
 HDL cholesterol, mg/dL62 (51–75)56 (48–68)55 (45–67)0.062
 eGFR, mL/min/1.73 m268 ± 1467 ± 1563 ± 140.173
 γ−GTP, IU/L31 (20–64)40 (26–81)35 (20–59)0.089
 Uric acid, mg/dL6.1 ± 1.36.2 ± 1.55.9 ± 1.40.579
 C-reactive protein, mg/dL0.05 (0.03–0.10)0.06 (0.03–0.11)0.08 (0.03–0.19)0.179
 B-type natriuretic peptide, pg/mL57.7 (26.1–132.0)43.7 (22.5–95.0)89.9 (36.8–181.8)0.005
 Interleukin-6, pg/mL1.1 (0.8–1.9)1.2 (0.8–1.9)1.9 (1.3–3.1)*,<0.001
 ICTP, ng/mL3.9 (3.2–4.9)3.9 (3.0–5.1)4.1 (3.3–5.3)0.427
Medications
 RAAS blocker, n (%)15 (21.1)24 (32.0)28 (48.3)0.005
 β-Blocker, n (%)25 (35.2)37 (49.3)23 (39.7)0.209
 Calcium channel blocker, n (%)16 (22.5)29 (38.7)27 (46.6)0.013
 Statin, n (%)13 (18.3)17 (22.7)26 (44.8)0.002
 Oral anti-diabetic drug, n (%)0 (0.00)0 (0.00)36 (62.1)<0.001
 Insulin, n (%)0 (0.00)0 (0.00)6 (10.3)<0.001
 Antiarrhythmic drug, n (%)25 (35.2)20 (26.7)18 (31.0)0.536
Ablation procedure characteristics
 PV isolation, n (%)71 (100.0)75 (100.0)58 (100.0)N/A
 Line lesion, n (%)1 (1.4)3 (4.0)5 (8.6)0.136
 SVC isolation, n (%)2 (2.8)1 (1.3)1 (1.7)0.802
 Cavotricuspid isthmus, n (%)13 (18.3)17 (22.7)17 (29.3)0.335
Echocardiographic parameters
 LV end-diastolic diameter, mm46.5 ± 4.745.2 ± 5.547.5 ± 4.60.031
 LV end-systolic diameter, mm30.6 (28.3–34.1)28.3 (25.8–32.1)*31.9 (28.3–34.2)0.007
 LV ejection fraction, %62.4 (55.3–67.0)63.9 (58.0–68.3)61.7 (55.4–65.1)0.240
 LV mass index, g/m278.8 (71.9–92.8)78.3 (70.3–98.9)95.9 (79.7–108.8)*,<0.001
E wave, cm/s72.4 (59.0–85.3)66.5 (58.7–80.5)74.1 (63.0–85.3)0.093
e′, cm/s9.3 (7.7–11.3)8.4 (6.7–9.6)*8.0 (7.0–9.2)*<0.001
E/e′ ratio7.7 (6.3–9.7)7.9 (6.8–9.8)9.5 (7.8–11.5)*,0.001
 LA diameter, mm40.0 (34.3–43.0)39.4 (33.7–42.7)40.9 (37.1–44.4)0.168
 LA volume index, mL/m235.5 (29.0–45.5)32.0 (26.2–40.2)39.2 (30.6–43.1)0.045
 LA reservoir strain, %21.1 (12.6–32.0)25.5 (15.1–36.0)16.7 (13.2–25.8)0.002
 LA stiffness0.36 (0.26–0.61)0.33 (0.23–0.53)0.52 (0.36–0.81)*,<0.001
NGT (n = 71)IGT/IFG (n = 75)DM (n = 58)P-value
Age, years60 (51–69)67 (61–73)*68 (64–73)*<0.001
Men, n (%)47 (66.2)54 (72.0)51 (87.9)0.016
Persistent AF, n (%)38 (53.5)28 (37.3)30 (51.7)0.103
Duration of AF, months8 (3–24)4 (3–10)*7 (4–24)0.014
Duration of DM, years6 (1–12)N/A
Hypertension, n (%)27 (38.0)42 (56.0)36 (62.1)0.015
Dyslipidaemia, n (%)23 (32.4)29 (38.7)31 (53.4)0.048
Current smoking, n (%)9 (12.7)2 (2.7)11 (19.0)0.009
Body mass index, kg/m223.5 (21.8–26.0)24.7 (22.4–27.0)24.8 (23.2–26.7)0.103
Systolic blood pressure, mmHg112 (104–132)124 (112–138)*120 (108–131)0.037
Diastolic blood pressure, mmHg64 (60–72)70 (62–78)68 (60–74)0.056
Heart rate, beats/min74 (66–83)77 (65–83)77 (67–84)0.828
CHADS2 score0 (0–1)1 (0–1)2 (1–2)*,<0.001
CHA2DS2-VASc score1 (0–2)2 (1–3)3 (2–4)*,<0.001
Laboratory parameters
 White blood cell, /μL5700 (4700–6600)5500 (4800–6400)6350 (5300–7300)0.039
 Red blood cell distribution width, %12.8 (12.2–13.2)13.0 (12.6–13.7)13.2 (12.6–13.8)*0.026
 Fasting glucose, mg/dL91 (85–95)98 (92–101)*123 (99–174)*,<0.001
 Fasting insulin, μU/mL4.8 (3.0–6.0)5.6 (3.4–8.2)7.8 (4.4–15.7)*,<0.001
 HOMA-IR1.01 (0.65–1.41)1.27 (0.81–2.04)2.28 (1.24–5.96)*,<0.001
 HbA1c, %5.7 (5.4–5.9)5.8 (5.6–5.9)6.7 (6.2–7.3)*,<0.001
 Total cholesterol, mg/dL204 ± 36199 ± 32185 ± 37*0.012
 LDL cholesterol, mg/dL120 ± 32118 ± 28103 ± 30*,0.003
 HDL cholesterol, mg/dL62 (51–75)56 (48–68)55 (45–67)0.062
 eGFR, mL/min/1.73 m268 ± 1467 ± 1563 ± 140.173
 γ−GTP, IU/L31 (20–64)40 (26–81)35 (20–59)0.089
 Uric acid, mg/dL6.1 ± 1.36.2 ± 1.55.9 ± 1.40.579
 C-reactive protein, mg/dL0.05 (0.03–0.10)0.06 (0.03–0.11)0.08 (0.03–0.19)0.179
 B-type natriuretic peptide, pg/mL57.7 (26.1–132.0)43.7 (22.5–95.0)89.9 (36.8–181.8)0.005
 Interleukin-6, pg/mL1.1 (0.8–1.9)1.2 (0.8–1.9)1.9 (1.3–3.1)*,<0.001
 ICTP, ng/mL3.9 (3.2–4.9)3.9 (3.0–5.1)4.1 (3.3–5.3)0.427
Medications
 RAAS blocker, n (%)15 (21.1)24 (32.0)28 (48.3)0.005
 β-Blocker, n (%)25 (35.2)37 (49.3)23 (39.7)0.209
 Calcium channel blocker, n (%)16 (22.5)29 (38.7)27 (46.6)0.013
 Statin, n (%)13 (18.3)17 (22.7)26 (44.8)0.002
 Oral anti-diabetic drug, n (%)0 (0.00)0 (0.00)36 (62.1)<0.001
 Insulin, n (%)0 (0.00)0 (0.00)6 (10.3)<0.001
 Antiarrhythmic drug, n (%)25 (35.2)20 (26.7)18 (31.0)0.536
Ablation procedure characteristics
 PV isolation, n (%)71 (100.0)75 (100.0)58 (100.0)N/A
 Line lesion, n (%)1 (1.4)3 (4.0)5 (8.6)0.136
 SVC isolation, n (%)2 (2.8)1 (1.3)1 (1.7)0.802
 Cavotricuspid isthmus, n (%)13 (18.3)17 (22.7)17 (29.3)0.335
Echocardiographic parameters
 LV end-diastolic diameter, mm46.5 ± 4.745.2 ± 5.547.5 ± 4.60.031
 LV end-systolic diameter, mm30.6 (28.3–34.1)28.3 (25.8–32.1)*31.9 (28.3–34.2)0.007
 LV ejection fraction, %62.4 (55.3–67.0)63.9 (58.0–68.3)61.7 (55.4–65.1)0.240
 LV mass index, g/m278.8 (71.9–92.8)78.3 (70.3–98.9)95.9 (79.7–108.8)*,<0.001
E wave, cm/s72.4 (59.0–85.3)66.5 (58.7–80.5)74.1 (63.0–85.3)0.093
e′, cm/s9.3 (7.7–11.3)8.4 (6.7–9.6)*8.0 (7.0–9.2)*<0.001
E/e′ ratio7.7 (6.3–9.7)7.9 (6.8–9.8)9.5 (7.8–11.5)*,0.001
 LA diameter, mm40.0 (34.3–43.0)39.4 (33.7–42.7)40.9 (37.1–44.4)0.168
 LA volume index, mL/m235.5 (29.0–45.5)32.0 (26.2–40.2)39.2 (30.6–43.1)0.045
 LA reservoir strain, %21.1 (12.6–32.0)25.5 (15.1–36.0)16.7 (13.2–25.8)0.002
 LA stiffness0.36 (0.26–0.61)0.33 (0.23–0.53)0.52 (0.36–0.81)*,<0.001

Values are mean ± SD, n (percentage), or median (25th–75th percentile).

AF, atrial fibrillation; DM, diabetes mellitus; E, early diastolic transmitral flow velocity; e′, early diastolic mitral annular velocity; eGFR, estimated glomerular filtration rate; GTP, glutamyl transpeptidase; HDL, high-density lipoprotein; ICTP, carboxy-terminal telopeptide of procollagen Type I; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; HOMA-IR, homeostatic model assessment of insulin resistance; LA, left atrium; LDL, low-density lipoprotein; LV, left ventricle; NGT, normal glucose tolerance; PV, pulmonary vein; RAAS, renin-angiotensin-aldosterone system; SVC, superior vena cava.

*

P < 0.05 compared with NGT group.

P < 0.05 compared with IGT/IFG group.

Glucose metabolism and left atrial remodelling before catheter ablation

Table 1 also shows the echocardiographic parameters. Left ventricular ejection fraction was similar in the three groups, whereas larger LV mass index and higher E/e′ ratio were observed in patients with DM (both P < 0.05). In terms of LA parameters, patients with DM had the largest LA volume (P = 0.045) and the worst LA reservoir strain (P = 0.002) and LA stiffness (P < 0.001; Figure 2). On the other hand, there was no significant difference in LA morphology and function between the NGT group and the IGT/IFG group. Therefore, we combined the IGT/IFG and NGT groups, and patients were classified into a DM group and a non-DM group to investigate the independent association between DM and LA functional remodelling. In the multivariable linear regression analysis, DM was significantly associated with reduced LA reservoir strain independent of pertinent biomarkers and echocardiographic parameters (standardized β = −0.14, P = 0.004; Table 2). In addition, persistent AF was independently related to worse LA reservoir function. Diabetes mellitus was also significantly associated with LA stiffness in the univariable model (standardized β = 0.16, P = 0.025), which became not significant after multivariable adjustment. Representative cases are presented in Figure 3. The right case with DM had reduced LA reservoir strain compared with the middle case with IGT and the left case with NGT. Patients with DM had worse AF-free survival at 1 year compared with NGT and IGT/IFG groups (log-rank P = 0.005; Figure 4).

LA volume index, LA reservoir strain, and LA stiffness stratified the glucose metabolism. *P < 0.05 compared with NGT group. †P < 0.05 compared with IGT/IFG group. DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LA, left atrium; NGT, normal glucose tolerance.
Figure 2

LA volume index, LA reservoir strain, and LA stiffness stratified the glucose metabolism. *P < 0.05 compared with NGT group. P < 0.05 compared with IGT/IFG group. DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LA, left atrium; NGT, normal glucose tolerance.

Representative images of LA reservoir strain in three cases with AF. The arrow indicates the average LA reservoir strain. AF, atrial fibrillation; DM, diabetes mellitus; IGT, impaired glucose tolerance; LA, left atrium; NGT, normal glucose tolerance.
Figure 3

Representative images of LA reservoir strain in three cases with AF. The arrow indicates the average LA reservoir strain. AF, atrial fibrillation; DM, diabetes mellitus; IGT, impaired glucose tolerance; LA, left atrium; NGT, normal glucose tolerance.

Kaplan–Meier curve for AF-free survival. AF, atrial fibrillation; DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; NGT, normal glucose tolerance.
Figure 4

Kaplan–Meier curve for AF-free survival. AF, atrial fibrillation; DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; NGT, normal glucose tolerance.

Table 2

Determinants of LA reservoir strain by univariable and multivariable linear regression analysis

UnivariableMultivariable
Sβ (95% CI)P-valueSβ (95% CI)P-value
Age, years−0.16 (−0.29 to −0.02)0.022−0.02 (−0.13 to 0.08)0.650
Men−0.10 (−2.75 to 0.47)0.164
Persistent AF−0.64 (−7.60 to −5.43)<0.001−0.30 (−4.17 to −1.91)<0.001
Diabetes mellitus−0.23 (−4.06 to −1.11)0.001−0.14 (−2.59 to −0.51)0.004
Hypertension0.03 (−1.14 to 1.68)0.704
Dyslipidaemia0.01 (−1.30 to 1.57)0.850
Current smoking−0.08 (−3.64 to 0.89)0.232
Body mass index, kg/m2−0.06 (−0.59 to 0.24)0.284
Heart rate, beats/min−0.27 (−0.30 to −0.10)<0.001−0.11 (−0.16 to −0.01)0.026
eGFR, mL/min/1.73 m20.25 (0.08 to 0.27)<0.0010.07 (−0.03 to 0.12)0.196
Log (CRP), mg/dL−0.03 (−3.87 to 2.43)0.679
Log (BNP), pg/mL−0.64 (−15.37 to −11.04)<0.001−0.19 (−6.59 to −1.32)0.004
Log (IL-6), pg/mL−0.16 (−9.72 to −0.85)0.0200.06 (−1.50 to 5.38)0.268
Log (ICTP), ng/mL−0.22 (−23.53 to −5.34)0.002−0.04 (−9.59 to 4.71)0.501
LV mass index, g/m2−0.25 (−0.20 to −0.06)<0.0010.03 (−0.03 to 0.07)0.485
LV ejection fraction, %0.49 (0.38–0.62)<0.0010.17 (0.07–0.28)0.002
LA volume index, mL/m2−0.59 (−0.55 to −0.37)<0.001−0.31 (−0.33 to −0.15)<0.001
E/e′ ratio−0.20 (−1.26 to −0.25)0.0030.06 (−0.16 to 0.60)0.265
UnivariableMultivariable
Sβ (95% CI)P-valueSβ (95% CI)P-value
Age, years−0.16 (−0.29 to −0.02)0.022−0.02 (−0.13 to 0.08)0.650
Men−0.10 (−2.75 to 0.47)0.164
Persistent AF−0.64 (−7.60 to −5.43)<0.001−0.30 (−4.17 to −1.91)<0.001
Diabetes mellitus−0.23 (−4.06 to −1.11)0.001−0.14 (−2.59 to −0.51)0.004
Hypertension0.03 (−1.14 to 1.68)0.704
Dyslipidaemia0.01 (−1.30 to 1.57)0.850
Current smoking−0.08 (−3.64 to 0.89)0.232
Body mass index, kg/m2−0.06 (−0.59 to 0.24)0.284
Heart rate, beats/min−0.27 (−0.30 to −0.10)<0.001−0.11 (−0.16 to −0.01)0.026
eGFR, mL/min/1.73 m20.25 (0.08 to 0.27)<0.0010.07 (−0.03 to 0.12)0.196
Log (CRP), mg/dL−0.03 (−3.87 to 2.43)0.679
Log (BNP), pg/mL−0.64 (−15.37 to −11.04)<0.001−0.19 (−6.59 to −1.32)0.004
Log (IL-6), pg/mL−0.16 (−9.72 to −0.85)0.0200.06 (−1.50 to 5.38)0.268
Log (ICTP), ng/mL−0.22 (−23.53 to −5.34)0.002−0.04 (−9.59 to 4.71)0.501
LV mass index, g/m2−0.25 (−0.20 to −0.06)<0.0010.03 (−0.03 to 0.07)0.485
LV ejection fraction, %0.49 (0.38–0.62)<0.0010.17 (0.07–0.28)0.002
LA volume index, mL/m2−0.59 (−0.55 to −0.37)<0.001−0.31 (−0.33 to −0.15)<0.001
E/e′ ratio−0.20 (−1.26 to −0.25)0.0030.06 (−0.16 to 0.60)0.265

AF, atrial fibrillation; BNP, B-type natriuretic peptide; CI, confidence interval; CRP, C-reactive protein; E, early diastolic transmitral flow velocity; e′, early diastolic mitral annular velocity; eGFR, estimated glomerular filtration rate; ICTP, carboxy-terminal telopeptide of procollagen Type I; IL-6, Interleukin-6; LA, left atrium; LV, left ventricle; Sβ, standardized β.

Table 2

Determinants of LA reservoir strain by univariable and multivariable linear regression analysis

UnivariableMultivariable
Sβ (95% CI)P-valueSβ (95% CI)P-value
Age, years−0.16 (−0.29 to −0.02)0.022−0.02 (−0.13 to 0.08)0.650
Men−0.10 (−2.75 to 0.47)0.164
Persistent AF−0.64 (−7.60 to −5.43)<0.001−0.30 (−4.17 to −1.91)<0.001
Diabetes mellitus−0.23 (−4.06 to −1.11)0.001−0.14 (−2.59 to −0.51)0.004
Hypertension0.03 (−1.14 to 1.68)0.704
Dyslipidaemia0.01 (−1.30 to 1.57)0.850
Current smoking−0.08 (−3.64 to 0.89)0.232
Body mass index, kg/m2−0.06 (−0.59 to 0.24)0.284
Heart rate, beats/min−0.27 (−0.30 to −0.10)<0.001−0.11 (−0.16 to −0.01)0.026
eGFR, mL/min/1.73 m20.25 (0.08 to 0.27)<0.0010.07 (−0.03 to 0.12)0.196
Log (CRP), mg/dL−0.03 (−3.87 to 2.43)0.679
Log (BNP), pg/mL−0.64 (−15.37 to −11.04)<0.001−0.19 (−6.59 to −1.32)0.004
Log (IL-6), pg/mL−0.16 (−9.72 to −0.85)0.0200.06 (−1.50 to 5.38)0.268
Log (ICTP), ng/mL−0.22 (−23.53 to −5.34)0.002−0.04 (−9.59 to 4.71)0.501
LV mass index, g/m2−0.25 (−0.20 to −0.06)<0.0010.03 (−0.03 to 0.07)0.485
LV ejection fraction, %0.49 (0.38–0.62)<0.0010.17 (0.07–0.28)0.002
LA volume index, mL/m2−0.59 (−0.55 to −0.37)<0.001−0.31 (−0.33 to −0.15)<0.001
E/e′ ratio−0.20 (−1.26 to −0.25)0.0030.06 (−0.16 to 0.60)0.265
UnivariableMultivariable
Sβ (95% CI)P-valueSβ (95% CI)P-value
Age, years−0.16 (−0.29 to −0.02)0.022−0.02 (−0.13 to 0.08)0.650
Men−0.10 (−2.75 to 0.47)0.164
Persistent AF−0.64 (−7.60 to −5.43)<0.001−0.30 (−4.17 to −1.91)<0.001
Diabetes mellitus−0.23 (−4.06 to −1.11)0.001−0.14 (−2.59 to −0.51)0.004
Hypertension0.03 (−1.14 to 1.68)0.704
Dyslipidaemia0.01 (−1.30 to 1.57)0.850
Current smoking−0.08 (−3.64 to 0.89)0.232
Body mass index, kg/m2−0.06 (−0.59 to 0.24)0.284
Heart rate, beats/min−0.27 (−0.30 to −0.10)<0.001−0.11 (−0.16 to −0.01)0.026
eGFR, mL/min/1.73 m20.25 (0.08 to 0.27)<0.0010.07 (−0.03 to 0.12)0.196
Log (CRP), mg/dL−0.03 (−3.87 to 2.43)0.679
Log (BNP), pg/mL−0.64 (−15.37 to −11.04)<0.001−0.19 (−6.59 to −1.32)0.004
Log (IL-6), pg/mL−0.16 (−9.72 to −0.85)0.0200.06 (−1.50 to 5.38)0.268
Log (ICTP), ng/mL−0.22 (−23.53 to −5.34)0.002−0.04 (−9.59 to 4.71)0.501
LV mass index, g/m2−0.25 (−0.20 to −0.06)<0.0010.03 (−0.03 to 0.07)0.485
LV ejection fraction, %0.49 (0.38–0.62)<0.0010.17 (0.07–0.28)0.002
LA volume index, mL/m2−0.59 (−0.55 to −0.37)<0.001−0.31 (−0.33 to −0.15)<0.001
E/e′ ratio−0.20 (−1.26 to −0.25)0.0030.06 (−0.16 to 0.60)0.265

AF, atrial fibrillation; BNP, B-type natriuretic peptide; CI, confidence interval; CRP, C-reactive protein; E, early diastolic transmitral flow velocity; e′, early diastolic mitral annular velocity; eGFR, estimated glomerular filtration rate; ICTP, carboxy-terminal telopeptide of procollagen Type I; IL-6, Interleukin-6; LA, left atrium; LV, left ventricle; Sβ, standardized β.

Glucose metabolism and left atrial reverse remodelling after catheter ablation

Six months after CA, HbA1c levels were 5.6 (25th–75th percentile, 5.3–5.7) in NGT group, 5.6 (25th–75th percentile, 5.4–5.8) in IGT/IFG group, and 6.7 (25th–75th percentile, 6.2–7.1) in DM group, respectively. Among the 204 patients included in the study, 187 patients (64 in NGT group, 70 in IGT/IFG group and 53 in DM group, respectively) underwent follow-up echocardiography at 6 months after CA. During 6 months of follow-up, AF recurrence rate was higher in the DM group compared with NGT and IGT/IFG groups (28.3 vs. 15.6 vs. 7.1%, P = 0.007). Ninety (48.1%) patients exhibited LA reverse remodelling with ≥15% reduction of LA volume index. The prevalence of LA reverse remodelling was significantly higher in the NGT group compared with the IGT/IFG and DM groups (64.1 vs. 38.6 vs. 41.5%, P = 0.006; Figure 5). Table 3 shows the univariable and multivariable logistic regression analysis for the risk of impaired LA reverse remodelling: a <15% decrease or an increase in the LA volume index after CA. Multivariable analysis demonstrated that both DM [adjusted odds ratio (OR) 2.49, P = 0.040] and IGT/IFG (adjusted OR 2.39, P = 0.032) carry a significant risk for lack of LA reverse remodelling independent of AF type, pertinent biomarkers, baseline LA size, and AF recurrence. Among the DM group, patients with newly diagnosed DM tended to have smaller LA size compared with those with known DM [30.5 (25th–75th percentile, 24.5–45.9) mL/m2 vs. 39.6 (25th–75th percentile, 30.9–43.0) mL/m2, P = 0.191] at baseline. Follow-up echocardiography demonstrated that LA size was comparable between the two groups [32.2 (25th–75th percentile, 28.0–41.1) mL/m2 vs. 32.3 (25th–75th percentile, 27.4–38.9) mL/m2, P = 0.804].

Frequency of LA reverse remodelling according to the glucose metabolism. DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LA, left atrium; NGT, normal glucose tolerance.
Figure 5

Frequency of LA reverse remodelling according to the glucose metabolism. DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LA, left atrium; NGT, normal glucose tolerance.

Table 3

Risk factors for lack of LA reverse remodelling by univariable and multivariable logistic regression analysis.

UnivariableMultivariable
Odds ratio (95% CI)P-valueOdds ratio (95% CI)P-value
Age, years1.02 (0.99–1.05)0.181
Men0.74 (0.38–1.43)0.366
Persistent AF0.35 (0.19–0.63)<0.0010.70 (0.31–1.60)0.402
IGT/IFG (Ref.; NGT)2.78 (1.37–5.60)0.0052.39 (1.08–5.27)0.032
Diabetes mellitus (Ref.; NGT)2.51 (1.19–5.31)0.0162.49 (1.04–5.96)0.040
Hypertension1.03 (0.58–1.84)0.909
Dyslipidaemia1.54 (0.85–2.79)0.149
Current smoking1.05 (0.40–2.71)0.925
Body mass index, kg/m21.04 (0.95–1.13)0.414
Heart rate, beats/min0.99 (0.97–1.01)0.390
eGFR, mL/min/1.73 m21.01 (0.99–1.03)0.455
Log (CRP), mg/dL1.92 (1.01–3.70)0.0462.22 (1.04–4.71)0.035
Log (BNP), pg/mL0.33 (0.17–0.64)<0.0010.77 (0.29–2.05)0.596
Log (IL-6), pg/mL1.81 (0.71–4.62)0.207
Log (ICTP), ng/mL1.21 (0.16–8.97)0.854
LV mass index, g/m21.00 (0.98–1.01)0.828
LV ejection fraction, %1.05 (1.02–1.09)0.0011.05 (1.002–1.09)0.033
LA volume index, g/m20.95 (0.92–0.97)<0.0010.96 (0.92–0.99)0.010
E/e′ ratio0.92 (0.83–1.03)0.146
AF recurrence2.52 (1.09–5.85)0.0264.07 (1.48–11.14)0.004
UnivariableMultivariable
Odds ratio (95% CI)P-valueOdds ratio (95% CI)P-value
Age, years1.02 (0.99–1.05)0.181
Men0.74 (0.38–1.43)0.366
Persistent AF0.35 (0.19–0.63)<0.0010.70 (0.31–1.60)0.402
IGT/IFG (Ref.; NGT)2.78 (1.37–5.60)0.0052.39 (1.08–5.27)0.032
Diabetes mellitus (Ref.; NGT)2.51 (1.19–5.31)0.0162.49 (1.04–5.96)0.040
Hypertension1.03 (0.58–1.84)0.909
Dyslipidaemia1.54 (0.85–2.79)0.149
Current smoking1.05 (0.40–2.71)0.925
Body mass index, kg/m21.04 (0.95–1.13)0.414
Heart rate, beats/min0.99 (0.97–1.01)0.390
eGFR, mL/min/1.73 m21.01 (0.99–1.03)0.455
Log (CRP), mg/dL1.92 (1.01–3.70)0.0462.22 (1.04–4.71)0.035
Log (BNP), pg/mL0.33 (0.17–0.64)<0.0010.77 (0.29–2.05)0.596
Log (IL-6), pg/mL1.81 (0.71–4.62)0.207
Log (ICTP), ng/mL1.21 (0.16–8.97)0.854
LV mass index, g/m21.00 (0.98–1.01)0.828
LV ejection fraction, %1.05 (1.02–1.09)0.0011.05 (1.002–1.09)0.033
LA volume index, g/m20.95 (0.92–0.97)<0.0010.96 (0.92–0.99)0.010
E/e′ ratio0.92 (0.83–1.03)0.146
AF recurrence2.52 (1.09–5.85)0.0264.07 (1.48–11.14)0.004

AF, atrial fibrillation; BNP, B-type natriuretic peptide; CI, confidence interval; CRP, C-reactive protein; E, early diastolic transmitral flow velocity; e′, early diastolic mitral annular velocity; eGFR, estimated glomerular filtration rate; ICTP, carboxy-terminal telopeptide of procollagen Type I; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; IL-6, Interleukin-6; LA, left atrium; LV, left ventricle; NGT, normal glucose tolerance.

Table 3

Risk factors for lack of LA reverse remodelling by univariable and multivariable logistic regression analysis.

UnivariableMultivariable
Odds ratio (95% CI)P-valueOdds ratio (95% CI)P-value
Age, years1.02 (0.99–1.05)0.181
Men0.74 (0.38–1.43)0.366
Persistent AF0.35 (0.19–0.63)<0.0010.70 (0.31–1.60)0.402
IGT/IFG (Ref.; NGT)2.78 (1.37–5.60)0.0052.39 (1.08–5.27)0.032
Diabetes mellitus (Ref.; NGT)2.51 (1.19–5.31)0.0162.49 (1.04–5.96)0.040
Hypertension1.03 (0.58–1.84)0.909
Dyslipidaemia1.54 (0.85–2.79)0.149
Current smoking1.05 (0.40–2.71)0.925
Body mass index, kg/m21.04 (0.95–1.13)0.414
Heart rate, beats/min0.99 (0.97–1.01)0.390
eGFR, mL/min/1.73 m21.01 (0.99–1.03)0.455
Log (CRP), mg/dL1.92 (1.01–3.70)0.0462.22 (1.04–4.71)0.035
Log (BNP), pg/mL0.33 (0.17–0.64)<0.0010.77 (0.29–2.05)0.596
Log (IL-6), pg/mL1.81 (0.71–4.62)0.207
Log (ICTP), ng/mL1.21 (0.16–8.97)0.854
LV mass index, g/m21.00 (0.98–1.01)0.828
LV ejection fraction, %1.05 (1.02–1.09)0.0011.05 (1.002–1.09)0.033
LA volume index, g/m20.95 (0.92–0.97)<0.0010.96 (0.92–0.99)0.010
E/e′ ratio0.92 (0.83–1.03)0.146
AF recurrence2.52 (1.09–5.85)0.0264.07 (1.48–11.14)0.004
UnivariableMultivariable
Odds ratio (95% CI)P-valueOdds ratio (95% CI)P-value
Age, years1.02 (0.99–1.05)0.181
Men0.74 (0.38–1.43)0.366
Persistent AF0.35 (0.19–0.63)<0.0010.70 (0.31–1.60)0.402
IGT/IFG (Ref.; NGT)2.78 (1.37–5.60)0.0052.39 (1.08–5.27)0.032
Diabetes mellitus (Ref.; NGT)2.51 (1.19–5.31)0.0162.49 (1.04–5.96)0.040
Hypertension1.03 (0.58–1.84)0.909
Dyslipidaemia1.54 (0.85–2.79)0.149
Current smoking1.05 (0.40–2.71)0.925
Body mass index, kg/m21.04 (0.95–1.13)0.414
Heart rate, beats/min0.99 (0.97–1.01)0.390
eGFR, mL/min/1.73 m21.01 (0.99–1.03)0.455
Log (CRP), mg/dL1.92 (1.01–3.70)0.0462.22 (1.04–4.71)0.035
Log (BNP), pg/mL0.33 (0.17–0.64)<0.0010.77 (0.29–2.05)0.596
Log (IL-6), pg/mL1.81 (0.71–4.62)0.207
Log (ICTP), ng/mL1.21 (0.16–8.97)0.854
LV mass index, g/m21.00 (0.98–1.01)0.828
LV ejection fraction, %1.05 (1.02–1.09)0.0011.05 (1.002–1.09)0.033
LA volume index, g/m20.95 (0.92–0.97)<0.0010.96 (0.92–0.99)0.010
E/e′ ratio0.92 (0.83–1.03)0.146
AF recurrence2.52 (1.09–5.85)0.0264.07 (1.48–11.14)0.004

AF, atrial fibrillation; BNP, B-type natriuretic peptide; CI, confidence interval; CRP, C-reactive protein; E, early diastolic transmitral flow velocity; e′, early diastolic mitral annular velocity; eGFR, estimated glomerular filtration rate; ICTP, carboxy-terminal telopeptide of procollagen Type I; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; IL-6, Interleukin-6; LA, left atrium; LV, left ventricle; NGT, normal glucose tolerance.

Reproducibility of left atrial strain measurement

An excellent correlation was observed in the analysis of inter-observer variability of LA reservoir strain (r = 0.94). In the Bland–Altman analysis, agreement between the inter-observer measurements was 1.1 ± 4.9% (mean ± 1.96 SD, respectively).

Discussion

The major findings of the present study were as follows: (i) ∼65% of patients with AF who underwent first CA had abnormal glucose metabolism including IGT, IFG, and DM, (ii) patients with DM had significantly impaired LA function, while similar LA morphology and function were observed between the IGT/IFG group and the NGT group, and (iii) IGT/IFG as well as DM carried significant risk for lack of LA reverse remodelling after CA, independent of AF recurrence and baseline LA size.

Prevalence of abnormal glucose metabolism and its association with left atrial remodelling

Previous studies have explored the prevalence of glucose metabolism disorders, particularly in atherosclerotic cardiovascular diseases (e.g. coronary artery disease and ischaemic stroke). Norhammar et al.27 reported that a 75 g OGTT identified DM in 31% and IGT in 35% of 181 non-diabetic patients who were hospitalized for acute myocardial infarction. In terms of cerebrovascular disease, Kernan et al.28 examined 98 patients with transient ischaemic attack or non-disabling ischaemic stroke and found that 28% had IGT and 24% had DM. However, very limited data are available regarding the prevalence of abnormal glucose metabolism in the setting of AF, although DM carries a significant risk of AF and subsequent stroke, and is a potentially modifiable risk factor.15,29 Johansen et al.30 studied 46 elderly patients with AF and reported that 40% of patients had prediabetes/diabetes in Norway. The prevalence is lower than our observations, although we included Asian patients with AF with relatively low BMI (median: 24.6 kg/m2). This discrepancy may be partly explained by the fact that Asians are susceptible to glucose metabolism disorders compared with Westerners.31,32 Recent studies clearly demonstrated that reduced LA function is closely related to the occurrence and recurrence of AF.7–9 We observed significantly reduced LA function in patients with AF with DM compared with those without DM, and the association was independent of pertinent biomarkers and LV morphology and function. Previous studies explored the impact of DM on LA functional remodelling in selected populations. Mondillo et al.33 demonstrated significantly reduced LA reservoir function in individuals with DM free of cardiac disease and LA dilatation. Steele et al.34 showed impaired LA strain in obese adolescents and young adults with DM. Our findings are in line with these previous observations and extend them to patients with AF. On the other hand, we also found that the IGT/IFG group exhibited similar LA morphology and function as the NGT group. This finding suggests that long-term cumulative exposure to hyperglycaemia may adversely affect LA remodelling. However, ∼25% of individuals with IGT develop DM within 5 years,35 implying that lifestyle intervention to delay the onset of DM may prevent unfavourable LA remodelling.

Impact of abnormal glucose metabolism on left atrial reverse remodelling after CA

Previous studies explored the frequency of LA reverse remodelling and its clinical significance in patients with AF who underwent CA. Tops et al.11 demonstrated that 63% of patients exhibited LA reverse remodelling (15% or more reduction in LA volume) in 148 patients with AF. Another study also showed that 47% of patients with AF experienced LA reverse remodelling 6 months after CA using cardiac computed tomography.12 The prevalence of LA reverse remodelling of 48% in the present study is consistent with these previous observations. In addition, patients who exhibited LA reverse remodelling after CA had favourable outcomes.13,14 We demonstrated for the first time that IGT/IFG as well as DM had a negative effect for LA reverse remodelling independent of baseline LA size and AF recurrence, although LA size and function were similar between the IGT/IFG and NGT groups. Our observations may provide valuable information for the management of patients with AF with glucose metabolism disorders before and after CA. Indeed, Pathak et al.36 reported that an intensive risk factor management programme, including weight and glycaemic control, resulted in a significant improvement in long-term ablation outcomes in the ARREST-AF Cohort Study.

The underlying mechanisms by which glucose metabolism disorder affects unfavourable LA remodelling are not entirely clear, but there are several hypotheses. First, abnormal glucose metabolism is related to enhanced angiotensin II and transforming growth factor-β signalling leading pro-fibrotic environment and subsequent LA dysfunction.37 Second, imbalance in autonomic nervous system and predominance of sympathetic nervous system in patients with hyperglycaemia can contribute to LA functional impairment.38 Third, renal dysfunction accompanied by abnormal glucose metabolism which may adversely affect LA function.39,40 Finally, enhanced inflammation in abnormal glucose metabolism can be associated with LA remodelling.41 Indeed, significantly higher level of CRP at 6 months after CA was observed in patients with lack of LA reverse remodelling rather than those with LA reverse remodelling [0.06 (25th–75th percentile, 0.04–0.14) mg/dL vs. 0.04 (25th–75th percentile, 0.03–0.10) mg/dL, P = 0.018] in the present study.

Study limitations

Our study has several limitations. First, we included patients who underwent CA, which may limit the applicability of the findings to populations with different profiles, such as long-standing AF who were ineligible for CA. Second, detailed information on the history of therapeutic intervention for DM (lifestyle intervention and medications) and trajectories of HbA1c levels are not uniformly available in the present study. In addition, we cannot evaluate the impact of glycaemic fluctuations on LA remodelling in the present study, although recent studies suggested the association between glycaemic fluctuations and AF.42 Third, only nine patients (4.4%) had history on ischaemic heart disease with revascularization and no patients had symptomatic coronary artery disease in this study. However, we cannot conclusively exclude the presence of subclinical/asymptomatic coronary artery disease, which might affect our observations. Fourth, the AF recurrence rate may have been underestimated because asymptomatic AF episodes may not have been detected. Our monitoring methods were less able to detect AF episodes than other longer term monitoring such as implantable loop recorders, which can evaluate the AF burden more accurately after CA. In addition, impact of AF burden after CA on LA reverse remodelling was unable to address in this study because of limited number of patients who experienced AF recurrence. Furthermore, the mixing of radiofrequency ablation and balloon technique might affect our observations. In this study, baseline LA size was larger in patients treated with radiofrequency CA compared with those with balloon technique, LA size at 6 months after CA and recurrence of AF were comparable between the two groups. Finally, although we applied the 15% reduction of LA volume index as LA reverse remodelling in the present study according to the previous studies,11,12,43,44 there is no established cut-off value of LA reverse remodelling. Future studies are warranted to investigate the optimal definition of LA reverse remodelling and utility of LA reservoir strain in patients with AF.

Conclusions

Abnormal glucose metabolism was observed in 65% of patients with AF who underwent CA. Patients with DM had significantly reduced LA function and increased LA stiffness compared with those with non-DM. Impaired glucose tolerance/IFG carries significant risk for persistence of LA enlargement after CA, although IGT/IFG was not associated with unfavourable LA remodelling at baseline. Our findings may provide valuable information regarding the pathogenic mechanisms linking glucose metabolism disorders and AF and may enhance therapeutic strategies for glucose metabolism-related AF.

Authors’ contribution

K.N. contributed to the conception and design of the work. K.N., M.D., K.F., K.I., Y.Y., K.H., Y.M., Y.Y., T.N., T.O., T.M., Y.S., G.O., T.K., and E.H. contributed to the acquisition, analysis, and interpretation of the data for the study. K.N. drafted the manuscript. M.D., K.F., K.I., Y.Y., K.H., Y.M., Y.Y., T.N., T.O., T.M., Y.S., G.O., T.K., E.H., H.M., and I.K. critically revised the manuscript. All authors provided final approval and agreed to be accountable for all aspects of the work, ensuring integrity and accuracy.

Acknowledgement

The authors thank Megumi Hirokawa, MD, Jumpei Ishiwata, MD, and Naoko Sawada, MD for the general support.

Funding

This work was supported in part by Grants-in-Aid for Scientific Research 19K20707 and 22K12859.

Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

1

Miyasaka
Y
,
Barnes
ME
,
Petersen
RC
,
Cha
SS
,
Bailey
KR
,
Gersh
BJ
et al.
Risk of dementia in stroke-free patients diagnosed with atrial fibrillation: data from a community-based cohort
.
Eur Heart J
2007
;
28
:
1962
7
.

2

Nabauer
M
,
Oeff
M
,
Gerth
A
,
Wegscheider
K
,
Buchholz
A
,
Haeusler
KG
et al.
Prognostic markers of all-cause mortality in patients with atrial fibrillation: data from the prospective long-term registry of the German Atrial Fibrillation NETwork (AFNET)
.
Europace
2021
;
23
:
1903
12
.

3

Schnabel
RB
,
Marinelli
EA
,
Arbelo
E
,
Boriani
G
,
Boveda
S
,
Buckley
CM
et al.
Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference
.
Europace
2023
;
25
:
6
27
.

4

Tilly
MJ
,
Geurts
S
,
Zhu
F
,
Bos
MM
,
Ikram
MA
,
de Maat
MPM
et al.
Autoimmune diseases and new-onset atrial fibrillation: a UK Biobank study
.
Europace
2023
;
25
:
804
11
.

5

Benjamin
EJ
,
Virani
SS
,
Callaway
CW
,
Chamberlain
AM
,
Chang
AR
,
Cheng
S
et al.
Heart Disease and Stroke Statistics-2018 Update: a report from the American Heart Association
.
Circulation
2018
;
137
:
e67
e492
.

6

Tsang
TS
,
Abhayaratna
WP
,
Barnes
ME
,
Miyasaka
Y
,
Gersh
BJ
,
Bailey
KR
et al.
Prediction of cardiovascular outcomes with left atrial size: is volume superior to area or diameter?
J Am Coll Cardiol
2006
;
47
:
1018
23
.

7

Abhayaratna
WP
,
Fatema
K
,
Barnes
ME
,
Seward
JB
,
Gersh
BJ
,
Bailey
KR
et al.
Left atrial reservoir function as a potent marker for first atrial fibrillation or flutter in persons > or = 65 years of age
.
Am J Cardiol
2008
;
101
:
1626
9
.

8

Kawakami
H
,
Ramkumar
S
,
Pathan
F
,
Wright
L
,
Marwick
TH
.
Use of echocardiography to stratify the risk of atrial fibrillation: comparison of left atrial and ventricular strain
.
Eur Heart J Cardiovasc Imaging
2020
;
21
:
399
407
.

9

Hauser
R
,
Nielsen
AB
,
Skaarup
KG
,
Lassen
MCH
,
Duus
LS
,
Johansen
ND
et al.
Left atrial strain predicts incident atrial fibrillation in the general population: the Copenhagen City Heart Study
.
Eur Heart J Cardiovasc Imaging
2021
;
23
:
52
60
.

10

Arita
VA
,
Van De Lande
ME
,
Khalilian Ekrami
N
,
Nguyen
BO
,
Van Melle
JM
,
Geelhoed
B
et al.
Clinical utility of the 4S-AF scheme in predicting progression of atrial fibrillation: data from the RACE V study
.
Europace
2023
;
25
:
1323
31
.

11

Tops
LF
,
Delgado
V
,
Bertini
M
,
Marsan
NA
,
Den Uijl
DW
,
Trines
SA
et al.
Left atrial strain predicts reverse remodeling after catheter ablation for atrial fibrillation
.
J Am Coll Cardiol
2011
;
57
:
324
31
.

12

Nakanishi
K
,
Fukuda
S
,
Yamashita
H
,
Kosaka
M
,
Shirai
N
,
Tanaka
A
et al.
Pre-procedural serum atrial natriuretic peptide levels predict left atrial reverse remodeling after catheter ablation in patients with atrial fibrillation
.
JACC Clin Electrophysiol
2016
;
2
:
151
8
.

13

Beukema
WP
,
Elvan
A
,
Sie
HT
,
Misier
AR
,
Wellens
HJ
.
Successful radiofrequency ablation in patients with previous atrial fibrillation results in a significant decrease in left atrial size
.
Circulation
2005
;
112
:
2089
95
.

14

Oka
T
,
Inoue
K
,
Tanaka
K
,
Ninomiya
Y
,
Hirao
Y
,
Tanaka
N
et al.
Left atrial reverse remodeling after catheter ablation of nonparoxysmal atrial fibrillation in patients with heart failure with reduced ejection fraction
.
Am J Cardiol
2018
;
122
:
89
96
.

15

Huxley
RR
,
Filion
KB
,
Konety
S
,
Alonso
A
.
Meta-analysis of cohort and case-control studies of type 2 diabetes mellitus and risk of atrial fibrillation
.
Am J Cardiol
2011
;
108
:
56
62
.

16

Huxley
RR
,
Alonso
A
,
Lopez
FL
,
Filion
KB
,
Agarwal
SK
,
Loehr
LR
et al.
Type 2 diabetes, glucose homeostasis and incident atrial fibrillation: the Atherosclerosis Risk in Communities study
.
Heart
2012
;
98
:
133
8
.

17

Latini
R
,
Staszewsky
L
,
Sun
JL
,
Bethel
MA
,
Disertori
M
,
Haffner
SM
et al.
Incidence of atrial fibrillation in a population with impaired glucose tolerance: the contribution of glucose metabolism and other risk factors. A post hoc analysis of the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research trial
.
Am Heart J
2013
;
166
:
935
40 e1
.

18

Lind
V
,
Hammar
N
,
Lundman
P
,
Friberg
L
,
Talback
M
,
Walldius
G
et al.
Impaired fasting glucose: a risk factor for atrial fibrillation and heart failure
.
Cardiovasc Diabetol
2021
;
20
:
227
.

19

January
CT
,
Wann
LS
,
Alpert
JS
,
Calkins
H
,
Cigarroa
JE
,
Cleveland
JC
Jr
et al.
2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the Heart Rhythm Society
.
Circulation
2014
;
130
:
e199
267
.

20

Ryden
L
,
Grant
PJ
,
Anker
SD
,
Berne
C
,
Cosentino
F
,
Danchin
N
et al.
ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD: the Task Force on diabetes, pre-diabetes, and cardiovascular diseases of the European Society of Cardiology (ESC) and developed in collaboration with the European Association for the Study of Diabetes (EASD)
.
Eur Heart J
2013
;
34
:
3035
87
.

21

Matthews
DR
,
Hosker
JP
,
Rudenski
AS
,
Naylor
BA
,
Treacher
DF
,
Turner
RC
.
Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man
.
Diabetologia
1985
;
28
:
412
9
.

22

Lang
RM
,
Badano
LP
,
Mor-Avi
V
,
Afilalo
J
,
Armstrong
A
,
Ernande
L
et al.
Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging
.
J Am Soc Echocardiogr
2015
;
28
:
1
39 e14
.

23

Morris
DA
,
Takeuchi
M
,
Krisper
M
,
Kohncke
C
,
Bekfani
T
,
Carstensen
T
et al.
Normal values and clinical relevance of left atrial myocardial function analysed by speckle-tracking echocardiography: multicentre study
.
Eur Heart J Cardiovasc Imaging
2015
;
16
:
364
72
.

24

Thomas
L
,
Muraru
D
,
Popescu
BA
,
Sitges
M
,
Rosca
M
,
Pedrizzetti
G
et al.
Evaluation of left atrial size and function: relevance for clinical practice
.
J Am Soc Echocardiogr
2020
;
33
:
934
52
.

25

Sugimoto
T
,
Robinet
S
,
Dulgheru
R
,
Bernard
A
,
Ilardi
F
,
Contu
L
et al.
Echocardiographic reference ranges for normal left atrial function parameters: results from the EACVI NORRE study
.
Eur Heart J Cardiovasc Imaging
2018
;
19
:
630
8
.

26

Hirose
K
,
Nakanishi
K
,
Daimon
M
,
Sawada
N
,
Yoshida
Y
,
Ishiwata
J
et al.
Correlation between the cohorts for heart and aging research in genomic epidemiology-atrial fibrillation risk score and left atrial remodeling in the general population
.
Circ Arrhythm Electrophysiol
2021
;
14
:
e009826
.

27

Norhammar
A
,
Tenerz
A
,
Nilsson
G
,
Hamsten
A
,
Efendic
S
,
Ryden
L
et al.
Glucose metabolism in patients with acute myocardial infarction and no previous diagnosis of diabetes mellitus: a prospective study
.
Lancet
2002
;
359
:
2140
4
.

28

Kernan
WN
,
Viscoli
CM
,
Inzucchi
SE
,
Brass
LM
,
Bravata
DM
,
Shulman
GI
et al.
Prevalence of abnormal glucose tolerance following a transient ischemic attack or ischemic stroke
.
Arch Intern Med
2005
;
165
:
227
33
.

29

Lee
G
,
Baker
E
,
Collins
R
,
Merino
JL
,
Desteghe
L
,
Heidbuchel
H
.
The challenge of managing multimorbid atrial fibrillation: a pan-European European Heart Rhythm Association (EHRA) member survey of current management practices and clinical priorities
.
Europace
2022
;
24
:
2004
14
.

30

Johansen
OE
,
Brustad
E
,
Enger
S
,
Tveit
A
.
Prevalence of abnormal glucose metabolism in atrial fibrillation: a case control study in 75-year old subjects
.
Cardiovasc Diabetol
2008
;
7
:
28
.

31

WHO Expert Consultation
.
Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies
.
Lancet
2004
;
363
:
157
63
.

32

Caleyachetty
R
,
Barber
TM
,
Mohammed
NI
,
Cappuccio
FP
,
Hardy
R
,
Mathur
R
et al.
Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study
.
Lancet Diabetes Endocrinol
2021
;
9
:
419
26
.

33

Mondillo
S
,
Cameli
M
,
Caputo
ML
,
Lisi
M
,
Palmerini
E
,
Padeletti
M
et al.
Early detection of left atrial strain abnormalities by speckle-tracking in hypertensive and diabetic patients with normal left atrial size
.
J Am Soc Echocardiogr
2011
;
24
:
898
908
.

34

Steele
JM
,
Urbina
EM
,
Mazur
WM
,
Khoury
PR
,
Nagueh
SF
,
Tretter
JT
et al.
Left atrial strain and diastolic function abnormalities in obese and type 2 diabetic adolescents and young adults
.
Cardiovasc Diabetol
2020
;
19
:
163
.

35

Nathan
DM
,
Davidson
MB
,
DeFronzo
RA
,
Heine
RJ
,
Henry
RR
,
Pratley
R
et al.
Impaired fasting glucose and impaired glucose tolerance: implications for care
.
Diabetes Care
2007
;
30
:
753
9
.

36

Pathak
RK
,
Middeldorp
ME
,
Lau
DH
,
Mehta
AB
,
Mahajan
R
,
Twomey
D
et al.
Aggressive risk factor reduction study for atrial fibrillation and implications for the outcome of ablation: the ARREST-AF cohort study
.
J Am Coll Cardiol
2014
;
64
:
2222
31
.

37

Ritchie
RH
,
Abel
ED
.
Basic mechanisms of diabetic heart disease
.
Circ Res
2020
;
126
:
1501
25
.

38

Tadic
M
,
Cuspidi
C
,
Pencic
B
,
Marjanovic
T
,
Celic
V
.
The association between heart rate variability and biatrial phasic function in arterial hypertension
.
J Am Soc Hypertens
2014
;
8
:
699
708
.

39

Nakanishi
K
,
Jin
Z
,
Russo
C
,
Homma
S
,
Elkind
MS
,
Rundek
T
et al.
Association of chronic kidney disease with impaired left atrial reservoir function: a community-based cohort study
.
Eur J Prev Cardiol
2017
;
24
:
392
8
.

40

Fauchier
L
,
Boriani
G
,
de Groot
JR
,
Kreutz
R
,
Rossing
P
,
Camm
AJ
.
Medical therapies for prevention of cardiovascular and renal events in patients with atrial fibrillation and diabetes mellitus
.
Europace
2021
;
23
:
1873
91
.

41

Rao
AK
,
Djamali
A
,
Korcarz
CE
,
Aeschlimann
SE
,
Wolff
MR
,
Stein
JH
.
Left atrial volume is associated with inflammation and atherosclerosis in patients with kidney disease
.
Echocardiography
2008
;
25
:
264
9
.

42

Sim
MA
,
Liu
W
,
Chew
STH
,
Ti
LK
.
Wider perioperative glycemic fluctuations increase risk of postoperative atrial fibrillation and ICU length of stay
.
PLoS One
2018
;
13
:
e0198533
.

43

Antonini-Canterin
F
,
Beladan
CC
,
Popescu
BA
,
Ginghina
C
,
Popescu
AC
,
Piazza
R
et al.
Left atrial remodelling early after mitral valve repair for degenerative mitral regurgitation
.
Heart
2008
;
94
:
759
64
.

44

Hyllen
S
,
Nozohoor
S
,
Meurling
C
,
Wierup
P
,
Sjogren
J
.
Left atrial reverse remodeling following valve surgery for chronic degenerative mitral regurgitation in patients with preoperative sinus rhythm: effects on long-term outcome
.
J Card Surg
2013
;
28
:
619
26
.

Author notes

Conflict of interest: None declared.

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