| Literature DB >> 31806039 |
Anh Tuan Vo1, Dinh Hoang Nguyen2,3, Sy Van Hoang4, Khoi Minh Le1, Thu Trang Nguyen1, Vuong Lam Nguyen1, Bac Hoang Nguyen5, Binh Quang Truong1.
Abstract
BACKGROUND: Minimally invasive mitral valve surgery is becoming a gold standard and provides many advantages for patients. A learning curve is required for a surgeon to become proficient, and the exact number to overcome this curve is controversial. Our study aimed to define this number for mitral valve surgery in general, for replacement and repair separately.Entities:
Keywords: Learning curve; Minimally invasive cardiac surgery; Mitral valve surgery
Mesh:
Year: 2019 PMID: 31806039 PMCID: PMC6896294 DOI: 10.1186/s13019-019-1038-0
Source DB: PubMed Journal: J Cardiothorac Surg ISSN: 1749-8090 Impact factor: 1.637
Fig. 1The skin incision after surgery
Baseline patients’ characteristics
| Variables | Number ( |
|---|---|
| Age | 48.5 ± 24.9 |
| Male, n (%) | 97 (47.5) |
| Post rheumatic, n (%) | 91 (44,6) |
| Degenerative, n (%) | 110 (53,9) |
| Endocarditis, n (%) | 3 (1,5) |
| Preoperative atrial fibrillation, n (%) | 51 (25) |
| Hypertension, n (%) | 60 (29.4) |
| Type 2 diabetes, n (%) | 9 (4.4) |
| Mean left ventricle ejection fraction (LVEF), % | 62.8 ± 15.1 |
| Mean EuroSCORE II, % | 1.3 ± 0.7 |
| NYHA class | |
| I, % | 6 |
| II, % | 80 |
| III, % | 12 |
| IV, % | 2 |
Mitral valve regurgitation distribution according to Carpentier classification
| Regurgitation type | N (%), ( |
|---|---|
| Type I | 3 (2.4) |
| Type II | 110 (89.4) |
| Type IIIA | 10 (8.2) |
| Type IIIB | 0 (0) |
Intraoperative variables and postoperative outcomes
| Intraoperative variables | |
| Repair rate, n (%) | 90 (44) |
| Repair rate in degenerative disease, n (%) | 86 (78.2) |
| Concomitant procedures | |
| -Tricuspid valve repair, n (%) | 35 (17.2) |
| -Maze procedure, n (%) | 17 (8.3) |
| -ASD closure, n (%) | 2 (1) |
| Mechanical valve used, n (%) | 71 (62) |
| Mean valve size (mm) | 27.1 ± 3.2 |
| Mean cross-clamp time | 103 ± 30.2 |
| Mean cardiopulmonary bypass (CPB) time | 155.6 ± 42.3 |
| Conversion rate (%) | 1.5 |
| Postoperative | |
| 30-day mortality, n (%) | 1 (0.5) |
| Low cardiac output syndrome | |
| -Intraaortic balloon pump (IABP), n (%) | 3 (1.5) |
| -ECMO, n (%) | 0 (0) |
| Myocardial infarction, n (%) | 1 (0.5) |
| Reoperation for bleeding, n (%) | 5 (2.4) |
| Recoverable stroke, n (%) | 1 (0.5) |
| Renal failure required dialysis, n (%) | 0 (0) |
Technical failure events
| Variables | |
|---|---|
| Early mortality, n (%) | 1 (0.5) |
| Conversion to sternotomy | 3 (1.5) |
| Reoperation for bleeding | 5 (2.5) |
| Femoral vessels complications | 2 (1) |
Mid-term results
| Variables | |
|---|---|
| Mortality, n (%) | 1 (0.5) |
| Recurrent mitral disease requiring reoperation, n (%) | 2 (1) |
| Reoperation, n (%) | 2 (1) |
Fig. 2Cadiopulmonary bypass time trend by years
Fig. 3Cross-clamp time trend by years
Fig. 4Mechanical ventilation time trend by years
Fig. 5ICU time trend by years
Important variables divided by groups of 50 patients
| Variables | 1–50 | 51–100 | 101–150 | 151–200 | |
|---|---|---|---|---|---|
| Cross-clamp time (min) | 115,1 (33,3) | 104,8 (29,5) | 99,2 (24,8) | 95,5 (29,6) | 0.0003a |
| CPB time (min) | 173,9 (53,3) | 155,6 (39,5) | 151,9 (31,6) | 143,3 (36,6) | 0.0009a |
| Ventilation time (hours) | 18,0 (14,2) | 16,8 (10,4) | 10.4 (7,2) | 8,7 (4,9) | < 0.0001a |
| ICU time (hours) | 56,4 (35,7) | 61,3 (43,8) | 46,8 (23,5) | 35,7 (19,2) | 0.0001a |
| Concomitant procedures | 14,0% | 28,0% | 30,0% | 30,0% | 0.0326b |
| Composite technical failure rate | 16,0% | 20,0% | 9,0% | 8,0% | 0.0492b |
a Kruskal Wallis test
b Chi square test
Fig. 6Overall CUSUM learning curve in MIMVS
Fig. 7CUSUM learning curve in mitral valve repair (Left) and mitral valve replacement (Right)