| Literature DB >> 35264365 |
R Wesselink1, J Neefs2, N W E van den Berg2, E R Meulendijks2, M M Terpstra2, M Kawasaki2, F A Nariswari2, F R Piersma2, W J P van Boven2, A H G Driessen2, J R de Groot1.
Abstract
OBJECTIVES: To determine the association between left atrial epicardial conduction time (LAECT), fibrosis and atrial fibrillation (AF) recurrence after thoracoscopic surgical ablation of persistent AF.Entities:
Keywords: cardiology; cardiothoracic surgery; pacing & electrophysiology
Mesh:
Substances:
Year: 2022 PMID: 35264365 PMCID: PMC8915322 DOI: 10.1136/bmjopen-2021-056829
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Schematic image of the posterior left atrium. A partial roofline is constructed, connected to the trigone line. The trigone line is connected to the left fibrous trigone. Evaluation of conduction block by the roofline by determining conduction time close to the roofline (position A), and further downward (position B) from the roofline. Red dotted line represents the direction of the activation front in case of conduction block by the roof- and trigone line. LAECT was defined as the conduction time at position A, close to the roofline, in case of proven conduction block by the roof- and trigone line. LAECT, left atrial epicardial conduction time.
Figure 2Typical example of collagen fibre analysis in six screens. (1) Selection of ± 4600 by 4600 pixels. (2) Manual removal of endocardial, epicardial and perivascular fibrosis(blue=excluded area). (3) Binarized (black and white) image, identification and removal of large interconnected areas of collagen (yellow). (4) Final input for fibre analysis algorithm. 5 and 6 are a magnification of the red aligned section of image 4. (5) Result of skeletonization, (6) fibres with a red centreline, reflecting the length of the fibre.
Baseline characteristics
| Parameter | n=121 |
| Females (%) | 35 (28.9) |
| Age (y) | 60.4 ± 7.8 |
| BMI(kg/m2) | 27.5 ± 3.9 |
| LVEF (%) | 52.7 ± 10 |
| LAVI (mL/m2) | 41.4 ± 13.1 |
| RAVI (mL/m2) | 29.8 ± 10.0 |
| AF duration (y) | 4 (2–9) |
| Persistent AF (%) | 121 (100) |
| Previous catheter ablation (%) | 22 (18.2) |
| Myocardial infarction (%) | 7 (5.8) |
| PCI (%) | 10 (8.3) |
| GP ablation (%) | 62 (51.2) |
| CHD (%) | 10 (8.3) |
| Hypertension (%) | 58 (47.9) |
| Diabetes mellitus (%) | 12 (9.9) |
| Stroke (%) | 12 (9.9) |
| Vascular disease (%) | 17 (14.1) |
| Age≥65 y (%) | 40 (33.1) |
| Age≥75 (%) | 1 (0.8) |
| CHA2DS2VASc | 1 (1–2) |
| Serum creatinin (µmol/L) | 84 (76–95) |
| Serum NT-ProBNP (ng/L) | 422 (214–856) |
Values shown as mean±SD, median (IQR) or n(%).
AF, atrial fibrillation; BMI, body mass index; CHD, congestive heart disease; GP, ganglion plexus; L, litre; L, liter; LAVI, left atrial volume index; LVEF, left ventricular ejection fraction; m, meter; ml, milliliter; NT-ProBNP, n-terminal pro B-type natriuretic peptide; PCI, percutaneous coronary intervention; RAVI, right atrial volume index; y, year.
Figure 3Univariate and multivariable Cox regression analysis of LAECT and other preselected risk factors for AF recurrence. AF, atrial fibrillation; BMI, body mass index; GP, ganglion plexus; LAECT, left atrial epicardial conduction time; LAVI, left atrial volume index; NT-proBNP, n-terminal pro natriuretic peptide; y, years.
Figure 4Univariate and multivariable linear regression of patient characteristics and LAECT. AAD, antiarrhythmic drugs; BMI, body mass index; GP, ganglion plexus; LAECT, left atrial epicardial conduction time; LAVI, left atrial volume index; RL, roof line; y, years.