| Literature DB >> 33788918 |
Adela Herraiz-Martínez1,2, Carmen Tarifa1,2, Verónica Jiménez-Sábado2,3, Anna Llach2, Hector Godoy-Marín4,5, Hildegard Colino-Lage1,2, Carme Nolla-Colomer6, Sergi Casabella-Ramon1,2, Paloma Izquierdo-Castro1,2, Iván Benítez7, Raul Benítez6, Elena Roselló-Díez8,9, Enrique Rodríguez-Font10, Xavier Viñolas10, Francisco Ciruela4,5, Juan Cinca3,9,10, Leif Hove-Madsen1,2,3.
Abstract
AIMS: Atrial fibrillation (AF) has been associated with intracellular calcium disturbances in human atrial myocytes, but little is known about the potential influence of sex and we here aimed to address this issue. METHODS ANDEntities:
Keywords: Afterdepolarizations; Calcium sparks; Ryanodine receptor phosphorylation; Sarcoplasmic reticulum calcium release; Transient inward current
Mesh:
Substances:
Year: 2022 PMID: 33788918 PMCID: PMC8930070 DOI: 10.1093/cvr/cvab127
Source DB: PubMed Journal: Cardiovasc Res ISSN: 0008-6363 Impact factor: 10.787
Clinical characteristics of the study population for electrophysiological analysis
| Female | Female, AF | Male | Male, AF |
| |
|---|---|---|---|---|---|
|
| 65 | 13 | 172 | 17 | |
| LAD index | 2.30 [2.01; 2.58] | 2.96 [2.40; 3.47] | 2.19 [1.90; 2.48] | 2.56 [2.30; 2.93] | <0.001 |
| Age | 74.0 [66.0; 78.0] | 75.0 [72.0; 76.0] | 67.5 [57.0; 74.0] | 71.0 [63.0; 78.0] | 0.001 |
| Smoking | 7 (10.9%) | 1 (8.3%) | 123 (71.5%) | 9 (56.2%) | <0.001 |
| Alcohol | 0 (0%) | 0 (0%) | 19 (11.2%) | 1 (6.25%) | 0.035 |
| Hypertension | 44 (67.7%) | 8 (61.5%) | 97 (56.7%) | 11 (64.7%) | 0.469 |
| Diabetes | 18 (27.7%) | 4 (30.8%) | 53 (31.0%) | 4 (23.5%) | 0.925 |
| Dyslipaemia | 41 (63.1%) | 6 (46.2%) | 86 (50.6%) | 9 (52.9%) | 0.353 |
| LVEF | 60.0 [55.0; 68.0] | 63.0 [55.0; 72.8] | 60.0 [47.2; 65.0] | 56.0 [44.0; 66.0] | 0.136 |
| AVR | 39 (60.0%) | 9 (69.2%) | 78 (45.3%) | 12 (70.6%) | 0.035 |
| TVR | 5 (7.69%) | 1 (7.69%) | 3 (1.74%) | 1 (5.88%) | 0.059 |
| CABG | 30 (46.2%) | 4 (30.8%) | 119 (69.2%) | 9 (56.2%) | 0.001 |
| ACE inhibitor | 15 (23.1%) | 6 (46.2%) | 58 (33.7%) | 9 (52.9%) | 0.067 |
| B-Block | 19 (29.2%) | 6 (46.2%) | 70 (40.7%) | 8 (47.1%) | 0.314 |
| ARB | 16 (24.6%) | 3 (23.1%) | 24 (14.0%) | 2 (11.8%) | 0.196 |
| Ca-antagonist | 9 (13.8%) | 1 (7.69%) | 31 (18.0%) | 2 (11.8%) | 0.776 |
| Dicoumarin | 2 (3.08%) | 7 (53.8%) | 4 (2.34%) | 13 (76.5%) | <0.001 |
| Digoxin | 0 (0%) | 7 (53.8%) | 2 (1.21%) | 8 (47.1%) | <0.001 |
| Aspirin | 29 (44.6%) | 3 (23.1%) | 93 (54.4%) | 2 (11.8%) | 0.002 |
| Statins | 41 (63.1%) | 6 (46.2%) | 96 (56.1%) | 9 (52.9%) | 0.622 |
Categorical values are given as number of patients and % of patients in parenthesis. Continuous values are given as median with 25% and 75% quantiles given in the brackets. The statistical significance of differences among the four patient groups is given on the right for each factor.
ACE inhibitor, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker; AVR, aortic valve replacement; beta-blockers, beta-adrenergic receptor blockers; CABG, coronary artery bypass graft; LAD index, left atrial diameter index; LVEF, left ventricular ejection fraction; TVR, tricuspid valve replacement/repair.
Factors included as confounders in the linear regression analysis in Figures .