| Literature DB >> 16008832 |
Ana Ruigómez1, Saga Johansson, Mari-Ann Wallander, Luis Alberto García Rodríguez.
Abstract
BACKGROUND: Natural history of paroxysmal atrial fibrillation (AF) is not very well documented. Clinical experience suggests that paroxysmal AF could progress to chronic AF with estimates ranging between 15 and 30% over a period of 1-3 years. We performed an epidemiologic study to elucidate the natural history of paroxysmal AF, this study estimated its incidence in a general practice setting, identified associated factors and analyzed the progression into chronic AF as well as the mortality rate.Entities:
Mesh:
Year: 2005 PMID: 16008832 PMCID: PMC1185525 DOI: 10.1186/1471-2261-5-20
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.298
Figure 1Incidence of paroxysmal atrial fibrillation in comparison to chronic atrial fibrillation in UK General Practice [10].
Distribution of age, aetiology, diagnostic tests and pattern of treatment among paroxysmal atrial fibrillation patients by sex
| Female | Male | |||
| n = 268 | (%) | n = 257 | (%) | |
| 40–59 | 30 | (11.2) | 63 | (24.5) |
| 60–69 | 57 | (21.3) | 74 | (28.8) |
| 70–79 | 107 | (39.9) | 81 | (31.5) |
| 80+ | 74 | (27.6) | 39 | (15.2) |
| IHD | 117 | (43.7) | 110 | (42.8) |
| Valvular | 24 | (9.0) | 13 | (5.1) |
| Other cardiac diseases | 19 | (7.1) | 20 | (7.8) |
| Non-cardiac diseases | 28 | (10.4) | 16 | (10.1) |
| Unknown | 80 | (29.9) | 88 | (34.2) |
| ECG alone | 158 | (59.0) | 170 | (66.1) |
| Other test (with/without ECG) | 46 | (17.1) | 33 | (12.8) |
| Unknown | 64 | (23.9) | 54 | (21.0) |
| Cardioversion attempts | ||||
| No or unknown | 178 | (66.4) | 170 | (66.2) |
| Pharmacological only | 79 | (29.5) | 69 | (26.8) |
| Electrical only | 8 | (3.0) | 13 | (5.1) |
| Both | 3 | (1.1) | 5 | (1.9) |
| Amiodarone | 27 | (10.1) | 40 | (15.6) |
| Verapamil | 8 | (3.0) | 7 | (2.7) |
| Diltiazem | 13 | (4.9) | 13 | (5.1) |
| Beta-blockers | 82 | (30.6) | 65 | (25.3) |
| Digoxin | 100 | (37.3) | 80 | (31.1) |
| No use | 136 | (50.7) | 115 | (44.7) |
| Warfarin only | 28 | (10.4) | 36 | (14.0) |
| Aspirin only | 92 | (34.3) | 91 | (35.4) |
| Both | 12 | (4.5) | 15 | (5.8) |
*17 cases (3.2%) had the episode after a cardiovascular surgery.
†In the first 3 months after initial diagnosis.
Risk of paroxysmal atrial fibrillation associated with age, sex, and other factors
| Paroxysmal AF cases | Controls | |||||
| n = 525 | (%) | n = 5000 | (%) | OR* | (95% CI) | |
| 40–49 | 31 | (5.9) | 1565 | (31.3) | 1 | |
| 50–59 | 62 | (11.8) | 1343 | (26.9) | 2.1 | (1.3–3.2) |
| 60–69 | 131 | (25.0) | 997 | (19.9) | 5.0 | (3.3–7.5) |
| 70–79 | 188 | (35.8) | 769 | (15.4) | 8.3 | (5.5–12.5) |
| 80–89 | 113 | (21.5) | 326 | (6.5) | 10.9 | (7–17.1) |
| Female | 268 | (51.0) | 2647 | (52.9) | 1 | |
| Male | 257 | (49.0) | 2353 | (47.1) | 1.3 | (1.0–1.6) |
| Non-smoker | 313 | (59.6) | 2736 | (54.7) | 1 | |
| Smoker | 94 | (17.9) | 1226 | (24.5) | 0.8 | (0.6–1.0) |
| Ex-smoker | 42 | (8.0) | 280 | (5.6) | 1.0 | (0.7–1.5) |
| <20 | 25 | (4.8) | 201 | (4.0) | 1.4 | (0.9–2.4) |
| 20–24 | 135 | (25.7) | 1466 | (29.3) | 1 | |
| 25–29 | 162 | (30.9) | 1420 | (28.4) | 1.1 | (0.8–1.4) |
| 30+ | 62 | (11.8) | 601 | (12.0) | 1.1 | (0.8–1.5) |
| None | 185 | (35.2) | 1597 | (31.9) | 1 | |
| 1–7 units | 114 | (21.7) | 1112 | (22.2) | 1.2 | (0.9–1.6) |
| 8–21 units | 69 | (13.1) | 718 | (14.4) | 1.4 | (1.0–1.9) |
| >21 units | 31 | (5.9) | 292 | (5.8) | 1.7 | (1.1–2.6) |
| IHD | 156 | (29.7) | 415 | (8.3) | 2.1 | (1.6–2.6) |
| Valvular disease | 30 | (5.7) | 41 | (0.8) | 4.2 | (2.4–7.3) |
| Heart failure | 81 | (15.4) | 117 | (2.3) | 2.5 | (1.8–3.5) |
| Hypertension | 197 | (37.5) | 859 | (17.2) | 1.4 | (1.2–1.8) |
| Cerebrovascular disease | 68 | (13.0) | 195 | (3.9) | 1.5 | (1.1–2.1) |
| Diabetes | 36 | (6.9) | 194 | (3.9) | 0.9 | (0.6–1.4) |
| Hyperthyroidism | 19 | (3.6) | 44 | (0.9) | 3.6 | (2.0–6.5) |
*OR: Odds ratio adjusted by age, sex and all the variables in the table, using unconditional logistic regression.
†Missing data in smoking (15.1%), BMI (26.3%) and alcohol use (25.5%).
# 1 unit = 10 mL of pure ethanol.
Mortality rate and relative risk of death associated with paroxysmal atrial fibrillation
| Age and sex matched Cohort free of AF n = 5000 | Paroxysmal AF cohort n = 525 | |
| Person-years | 14298 | 1606 |
| Deaths | 483 | 67 |
| Mortality rate/100 person-years (95% CI) | 3.38 (3.09–3.69) | 4.17 (3.30–5.26) |
| Relative risk (95% CI) | 1 | 1.2 (1.0–1.6) |
| Adjusted relative risk*(95% CI) | 1 | 1.0 (0.75–1.3) |
*Relative risk estimated by Cox regression model, including age, sex, smoking, heart failure, ischaemic heart disease, hypertension, cerebrovascular disease and diabetes.
Figure 2Proportion of patients with paroxysmal atrial fibrillation progressing to chronic AF. Number of patients at risk and number of new chronic AF cases in each time period, in UK General Practice.
Figure 3Risk of progression to chronic atrial fibrillation among paroxysmal atrial fibrillation patients (Odds ratio estimates adjusted by age and sex, using logistic regression).