| Literature DB >> 27982112 |
Liang Yin1, Jing Wang1, Wei Li1, Xinyu Ling1, Qian Xue1, Yufeng Zhang1, Zhinong Wang1.
Abstract
Cardiac myxomas are rare but manifested with risk of embolism and often cause unexpected symptoms or sudden death. We retrospectively collected the medical records of patients diagnosed of cardiac myxomas at the cardiac center of our university. Overall 465 patients were included in this study, patients in the embolism group had significantly higher CHA2DS2-VASc scores (P = 0.005). In embolic group, stroke was recorded in 110 (77.14%) patients, while embolic events in the limbs were observed in 10 (2.15%) and 9(1.93%) developed splenic infarction. Patients in embolism group had older age (P = 0.021) and higher BMI (P <0.001) than those in non-embolism group. There was no significant difference between two groups in terms of time of mechanical ventilation (P = 0.065), ICU stay (P = 0.053), hospital stay (P = 0.071) and volume of drainage (P = 0.083), blood transfusions (P = 0.060) except that patients with embolic events had significantly higher incidence of postoperative atrial fibrillation (P = 0.032) and lower survival rate (P < 0.001). Furthermore, the CHA2DS2-VASc score was a significant predictor of embolism in patients with cardiac myxomas (P = 0.015; P = 0.003) and the Kaplan-Meier analysis obtained a higher rate of embolism in patients with higher stratification of CHA2DS2-VASc scores (P = 0.002). In conclusion, CHA2DS2-VASc scoring scheme was strongly predictive of stroke and embolic events in patients with cardiac myxomas.Entities:
Mesh:
Year: 2016 PMID: 27982112 PMCID: PMC5159860 DOI: 10.1038/srep39323
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Baseline characteristics of patients.
| Embolism (n = 143) | no-Embolism (n = 322) | ||
|---|---|---|---|
| Age (y) | 59.4 ± 10.9 | 52.3 ± 12.4 | 0.021 |
| Age 65–75 y | 47 (32.90%) | 88 (27.3%) | 0.045 |
| Age ≥75 y | 5 (3.50%) | 6 (1.86%) | 0.077 |
| Female, n (%) | 99 (69.23%) | 214 (66.46%) | 0.407 |
| Smoke, n (%) | 50 (35.2%) | 135 (41.92%) | 0.438 |
| BMI (kg/m2) | 26.1 ± 2.8 | 23.3 ± 2.6 | 0.001 |
| Medical history, n (%) | |||
| Heart failure | 67 (46.85%) | 154 (47.82%) | 0.239 |
| Hypertension | 54 (37.76%) | 78 (24.22%) | 0.035 |
| Diabetes mellitus | 32 (22.37%) | 49 (15.22%) | 0.061 |
| Prior stroke or TIA | 5 (3.50%) | 11 (3.41%) | 0.965 |
| Coronary artery disease | 79 (55.24%) | 32 (9.93%) | 0.004 |
| Carotid artery disease | 45 (31.46%) | 33 (23.07%) | 0.127 |
| Peripheral arterial disease | 38 (26.57%) | 26 (8.07%) | 056 |
| Atrial fibrillation | 34 (23.77%) | 79 (24.53%) | 0.876 |
| Atrial flutter | 11 (7.69%) | 35 (10.86%) | 0.551 |
| Concomitant surgery, n (%) | |||
| MVP | 13 (9.09%) | 34 (10.55%) | 0.411 |
| MVR | 19 (13.28%) | 41 (12.73%) | 0.901 |
| AVR | 11 (7.69%) | 36 (11.18%) | 0.658 |
| TVP | 8 (5.59%) | 19 (5.90%) | 0.284 |
| TVR | 0 (0%) | 3 (0.93%) | 0.077 |
| CABG | 2 (1.39%) | 1 (0.31%) | 0.056 |
| Preoperative medication, n (%) | |||
| Warfarin | 4 (2.79%) | 15 (4.65%) | 0.023 |
| Statins | 7 (4.89%) | 27 (8.38%) | 0.047 |
| Aspirin | 6 (4.19%) | 51 (15.83%) | <0.001 |
| Clopidogrel | 1 (0.69%) | 9 (2.79%) | 0.054 |
| Myxomas | |||
| Size (cm) | 6.01 ± 9.2 | 4.21 ± 3.9 | 0.021 |
| Atypical type*, n (%) | 67 (46.85%) | 78 (24.22%) | <0.0001 |
| Distribution of cardiac myxomas | |||
| LA | 112 (78.32%) | 250 (77.63%) | 0.87 |
| RA | 10 (6.99%) | 18 (5.59%) | 0.55 |
| Biatrial | 11 (7.69%) | 14 (4.35%) | 0.14 |
| LV | 4 (2.79%) | 9 (2.80%) | 0.99 |
| Echocardiographic | |||
| LVEF (%) | 57.7 ± 5.3 | 56.5 ± 4.2 | 0.656 |
| LAD (cm) | 6.1 ± 3.4 | 5.3 ± 1.2 | 0.011 |
| E/e’ ratio | 16.5 ± 3.2 | 11.2 ± 2.5 | <0.0001 |
| CHA2DS2-VASc score | 3.4 ± 1.7 | 1.5 ± 1.3 | 0.005 |
Data are presented as n (%) or mean ± SD. BMI, body mass index; TIA, transient ischemic attack; MVP, mitral valvuloplasty.
MVR, mitral valve replacement; AVR, aortic valve replacement; TVP, tricuspid valvuloplasty; TVR, tricuspid valve replacement.
CABG, coronary artery bypass grafting; LA, left atrium; RA, right atrium; LV, left ventricle; LVEF, left ventricular ejection fraction.
*With an irregular or villous surface and a soft consistency.
Univariate regression analysis for risk factors of embolism.
| Variable | Odds ratio | 95%CI | |
|---|---|---|---|
| Age (y) | 0.965 | 0.907–1.026 | 0.254 |
| Gender | 0.901 | 0.807–1.001 | 0.321 |
| Smoke | 1.783 | 0.691–2.909 | 0.625 |
| Diabetes | 2.476 | 1.732–13.817 | 0.111 |
| Hypertension | 0.937 | 0.181–10.009 | 0.687 |
| BMI (kg/m2) | 6.623 | 1.117–9.204 | <0.0001 |
| Prior stroke or TIA | 0.965 | 0.875–2.334 | 0.197 |
| Size of myxomas | 1.123 | 1.007–3.084 | 0.002 |
| Atypical type | 9.133 | 1.117–32.204 | 0.001 |
| History of anticoagulation | 1.003 | 0.945–2.204 | 0.065 |
| LAD (cm) | 1.694 | 1.084–2.807 | 0.022 |
| E/e’ ratio | 8.006 | 0.300–12.098 | 0.045 |
| Arrhythmia | 2.341 | 1.800–3.098 | 0.068 |
| CHA2DS2–VASc score | 1.009 | 0.897–2.007 | 0.015 |
CI, Confidence interval; BMI, body mass index; LAD, left atrial diameter.
Multivariate regression analysis for risk factors of embolism.
| Variable | Odds ratio | 95%CI | |
|---|---|---|---|
| Age (y) | 0.765 | 0.507–1.626 | 0.021 |
| BMI (kg/m2) | 0.237 | 0.112–0.894 | 0.001 |
| E/e’ ratio | 1.022 | 0.976–1.724 | 0.061 |
| Size of myxomas | 0.411 | 0.124–1.081 | 0.014 |
| Atypical type | 1.453 | 1.004–5.984 | 0.001 |
| LAD (cm) | 1.014 | 0.651–1.147 | 0.031 |
| CHA2DS2–VASc score | 0.243 | 0.103–0.844 | 0.003 |
CI, Confidence interval; BMI, body mass index; LAD, left atrial diameter.
Figure 1Embolic events rates and CHA2DS2-VASc scores.
The embolic events rates incrementally increased as the CHA2DS2-VASc score increased.
Figure 2Embolism-related events free rate curves for patients with CHA2DS2-VASc score.
The Kaplan-Meier survival analysis showed that patients with higher stratification of CHA2DS2-VASc score had a higher event rate than those who had lower stratification of CHA2DS2-VASc score. (P = 0.002). A-(0-1 point), B-(2–3 points), C-(4–5 points), D-(≥6 points).
Figure 3Predictive value of CHA2DS2-VASc score for incidence of stroke and embolic evens under ROC, area under ROC was 0.83 (95%CI, 0.789–0.873, p < 0.001).
Perioperative data of patients.
| Embolism (n = 143) | no-Embolism (n = 322) | p | |
|---|---|---|---|
| Operation time (min) | 131.55 ± 38.95 | 135.00 ± 21.64 | 0.198 |
| Drainage (ml) | 450.43 ± 346.40 | 567.66 ± 556.00 | 0.083 |
| Mechanical ventilation time (d) | 2.34 ± 3.68 | 2.12 ± 0.62 | 0.065 |
| Transfusion (ml) | 321.22 ± 657.29 | 292.66 ± 567.18 | 0.060 |
| ICU stay (d) | 1.63 ± 0.88 | 1.48 ± 1.00 | 0.053 |
| Total hospital stay (d) | 12.39 ± 4.67 | 11.65 ± 3.69 | 0.071 |
| Wound infection, n (%) | 3 (2.09) | 5 (1.55) | 0.625 |
| Renal failure, n (%) | 1 (0.21) | 4 (1.24) | 0.067 |
| POAF | 18 (12.58) | 8 (2.48) | 0.032 |
| Major bleeding | 10 (6.99) | 17 (5.27) | 0.052 |
| In-hospital deaths, n (%) | 3 (2.09) | 2 (0.62) | 0.059 |
ICU, Intensive Care Unit, POAF, postoperative atrial fibrillation.