| Literature DB >> 32140769 |
Takahiro Mito1, Masao Takemoto2,3, Yoshibumi Antoku1, Akihiro Masumoto4, Masatsugu Nozoe5, Satoko Kinoshita1, Atsushi Tanaka1, Yusuke Yamamoto5, Takafumi Ueno4, Takuya Tsuchihashi6.
Abstract
Almost all institutions routinely perform cardiac computed tomography (CT) before radiofrequency catheter ablation (RFCA) of atrial fibrillation (AF) to evaluate the cardiac anatomy. The ideal timing of the CT image acquisition is different between for RFCA of AF and for evaluation of coronary artery lesions (CALs). Thus, the aim of this study was to assess whether 64- or 320-line routine cardiac CT scans before RFCA of AF could evaluate both coronary artery lesions and pulmonary veins (LA-PVs) anatomy at the timing of the image acquisition of the LA-PVs in patients with AF who underwent RFCA of AF. The CALs were evaluated in 606 consecutive patients who underwent RFCA of AF assessed by the ideal timing of the CT image acquisition for RFCA of AF, and myocardial ischemia (MI) was also evaluated in patients with severe coronary stenosis (≥ 50%) and unevaluable CALs due to their severe coronary calcification and banding artifact by additional examinations combined with exercise stress testing, 201Tl scintigraphy, and/or fractionated flow reserve measurements. This study revealed that, in patients with AF who underwent RFCA of AF, (1) both 64- and 320-line cardiac CT scans for RFCA of AF could evaluate CALs in 93% of those patients, (2) the prevalence of MI was 9%, (3) significant relationships between the CHADS2 score and prevalence of MI were observed (p = 0.003), and (4) the positive predict values of MI in patients with severe coronary stenosis (≥ 50%) and unevaluable CALs also significantly increased in accordance with the CHADS2 score (p = 0.003). The evaluation of CALs and MI by routine cardiac CT for RFCA of AF combined with the additional examinations may be one of the most feasible modalities for patients with AF.Entities:
Keywords: Atrial fibrillation; CHADS2 score; Catheter ablation; Computed tomography; Coronary artery disease; Myocardial ischemia
Mesh:
Year: 2020 PMID: 32140769 PMCID: PMC7332475 DOI: 10.1007/s00380-020-01572-6
Source DB: PubMed Journal: Heart Vessels ISSN: 0910-8327 Impact factor: 2.037
Patient characteristics
| All | 64-line | 320-line | ||
|---|---|---|---|---|
| 606 | 410 (68%) | 196 (32%) | – | |
| Male | 408 (67%) | 268 (65%) | 140 (71%) | 0.137 |
| Age (years) | 69 ± 9.0 | 69 ± 9.2 | 68 ± 8.4 | 0.075 |
| Body mass index (kg/m2) | 23.1 ± 3.5 | 23.3 ± 3.5 | 22.8 ± 3.6 | 0.146 |
| Body surface area (m2) | 1.68 ± 0.19 | 1.67 ± 0.19 | 1.69 ± 0.17 | 0.082 |
| CHADS2 score | 2.05 ± 1.29 | 2.04 ± 1.30 | 2.07 ± 1.29 | 0.791 |
| 0 | 56 (9%) | 38 (9%) | 18 (9%) | 0.981 |
| 1 | 163 (27%) | 110 (27%) | 53 (27%) | 0.941 |
| 2 | 200 (33%) | 140 (34%) | 60 (31%) | 0.332 |
| 3 | 108 (18%) | 70 (17%) | 38 (19%) | 0.432 |
| 4 | 47 (8%) | 32 (8%) | 15 (8%) | 0.955 |
| ≥ 5 | 32 (5%) | 20 (5%) | 12 (6%) | 0.430 |
| Congestive heart failure | 293 (48%) | 188 (46%) | 105 (54%) | 0.243 |
| Hypertension | 424 (70%) | 287 (70%) | 137 (70%) | 0.899 |
| Age (≥ 75 years old) | 164 (27%) | 122 (33%) | 42 (21%) | 0.053 |
| Diabetes mellitus | 158 (26%) | 107 (26%) | 51 (26%) | 0.941 |
| History of CVA/TIA | 103 (17%) | 66 (16%) | 37 (19%) | 0.255 |
| Dyslipidemia | 200 (33%) | 135 (33%) | 65 (33%) | 0.951 |
| Ex or current smoking | 170 (28%) | 115 (28%) | 55 (28%) | 0.977 |
| Type of atrial fibrillation | ||||
| Paroxysmal | 369 (61%) | 240 (59%) | 129 (66%) | 0.086 |
| Persistent | 209 (33%) | 146 (36%) | 62 (32%) | 0.336 |
| Long-lasting | 29 (5%) | 24 (6%) | 5 (3%) | 0.075 |
| Laboratory analysis | ||||
| Serum creatinine (mg/dl) | 0.89 ± 0.24 | 0.89 ± 0.24 | 0.90 ± 0.23 | 0.409 |
| Left-ventricular ejection fraction (%) | 63 ± 9.9 | 63 ± 9.1 | 64 ± 11 | 0.268 |
| Diameter of left atrium (mm) | 39 ± 6.7 | 39 ± 6.6 | 39 ± 6.7 | 0.309 |
| Parameters during CT imaging | ||||
| Heart rate (bpm) | 66 ± 15 | 66 ± 15 | 66 ± 16 | 0.829 |
| Sinus rhythm | 398 (66%) | 261 (64%) | 137 (70%) | 0.131 |
| Medications during CT imaging | ||||
| Beta-blocker (%) | 421 (69%) | 293 (71%) | 128 (65%) | 0.124 |
| Minor tranquilizer (%) | 172 (28%) | 119 (29%) | 52 (27%) | 0.524 |
CVA cerebrovascular apoplexy, TIA transient ischemic attack, CT computed tomography
Evaluation of coronary artery lesions
| All | 64-line | 320-line | ||
|---|---|---|---|---|
| Number of patients | 606 | 410 (68%) | 196 (32%) | – |
| Coronary arterial stenosis | ||||
| Evaluable coronary artery lesions | 562 (93%) | 381 (93%) | 181 (92%) | 0.809 |
| Mild-to-moderate (≤ 50%) | 418 (69%) | 283 (69%) | 135 (69%) | 0.801 |
| Severe (> 50%) | 144 (24%) | 98 (24%) | 46 (23%) | 0.818 |
| Unevaluable coronary artery lesions | ||||
| Severe coronary calcification | 41 (7%) | 26 (6%) | 15 (8%) | 0.548 |
| Banding artifacts | 3 (0.5%) | 3 (0.7%) | 0 (0%) | 0.231 |
Fig. 1Prevalence of patients with severe coronary stenosis (SCS) (> 50%) and unevaluable coronary artery lesions (UeCALs) (blue bar), and myocardial ischemia (MI) (red bar) according to the CHADS2 score. In accordance with the CHADS2 score, the prevalence of those parameters (blue bar; p = 0.033 and red bar; p = 0.003) significantly increases. Moreover, in accordance with the CHADS2 score, the positive predict values (PPVs) of MI in patients with SCS and UeCALs significantly increase (p = 0.003). The numbers of patients were 56, 156, 199, 109, 47, and 32 for CHADS2 scores of 0, 1, 2, 3, 4, and ≥ 5 point(s), respectively
Evaluation and detection of myocardial ischemia
| Evaluation of myocardial ischemia | |
| Number of patients | 188 (31%) |
| Exercise stress testing | 180 (30%) |
| 201Tl scintigraphy | 82 (14%) |
| Fractionated flow reserve | 62 (10%) |
| Detection of myocardial ischemia | |
| Number of patients | 54 (9%) |