| Literature DB >> 36002863 |
Matiullah Masroor1,2, Chunyang Chen1, Kang Zhou1, Xianming Fu1, Umar Zeb Khan3, Yuan Zhao4.
Abstract
BACKGROUND: Internal thoracic arteries (ITAs) are considered to be the standard conduits used for coronary revascularization. Recently minimally invasive procedures are performed to harvest ITAs. The aim of this retrospective cohort study is to observe the effect and safety of less invasive LIMA harvesting approaches in the learning curve compared to conventional harvesting.Entities:
Keywords: CABG; Harvesting; Internal mammary artery; Learning curve; Minimally invasive surgery
Mesh:
Year: 2022 PMID: 36002863 PMCID: PMC9404583 DOI: 10.1186/s13019-022-01961-0
Source DB: PubMed Journal: J Cardiothorac Surg ISSN: 1749-8090 Impact factor: 1.522
Fig. 1Study design shows how the patients were classified into three groups. OPCAB off-pump coronary artery bypass, MIDLH minimally invasive direct LIMA harvesting, RALH robotic-assisted LIMA harvesting, CSLH conventional sternotomy LIMA harvesting
Fig. 2Numbers of CSLH, MIDLH, and RALH cases performed with respect to each year from 2015 to 2020
Fig. 3Study design shows how the patients were classified into sternotomy versus non-sternotomy groups. OPCAB off-pump coronary artery bypass, MIDLH minimally invasive direct LIMA harvesting, RALH robotic-assisted LIMA harvesting, CSLH conventional sternotomy LIMA harvesting
Fig. 4A The internal thoracic artery harvesting retractor has been applied and the left thorax is elevated. B The papaverine, normal saline, and diltiazem solution was injected into the endothoracic fascia before harvesting started. C LIMA after complete harvesting in skeletonized fashion
Fig. 5A The MICS CABG intercostal retractor for MIDLH procedure is seen. B The arch suspensory IMA retractor system is attached to the operating table and Thorac pro retractor attached to the middle of the arch
Fig. 6A Overall robotic system is seen docked to the patient. B Endo wrist instruments inserted through three ports into the left hemi thorax for RALH. C Surgeon sitting on surgeon’s console of da vinci robot system harvesting the LIMA
Preoperative demographical and clinical data for CSLH, MIDLH, and RALH groups
| Variables | CSLH (n = 64) | MIDLH (n = 42) | RALH (n = 32) | |
|---|---|---|---|---|
| Age (years) | 61.6 ± 10.6 | 60.5 ± 10.8 | 61.5 ± 10.5 | 0.873 |
| Male gender (%) | 52 (81.2%) | 33 (78.6%) | 26 (81.2%) | 0.937 |
| Height (cm) | 163.4 ± 6.9 | 163.4 ± 7.4 | 164.6 ± 7.4 | 0.669 |
| Weight (kg) | 68 ± 10.3 | 65 ± 10.9 | 68.3 ± 10.1 | 0.276 |
| BMI (Kg/m2) | 25.4 ± 3.0 | 23.8 ± 3.0 | 24.6 ± 2.7 | 0.022 |
| Hx of hypertension (%) | 49 (76.6%) | 21 (50%) | 24 (75%) | 0.010 |
| Hx of DM (%) | 23 (35.9%) | 13 (30.9%) | 9 (28.1%) | 0.721 |
| Hx of hyperlipidemia (%) | 9 (14.1%) | 5 (11.9%) | 5 (15.6%) | 0.898 |
| Hx of smoking (%) | 29 (45.3%) | 15 (35.7%) | 12 (37.5%) | 0.573 |
| LVEF (%) | 63.1 ± 8.5 | 63 ± 9.2 | 67.2 ± 7.7 | 0.060 |
| LVEDD (mm) | 48.0 ± 5.6 | 46.9 ± 5.3 | 47.8 ± 5.1 | 0.573 |
| Hx of renal impairment (%) | 5 (7.8%) | 3 (7.1%) | 0 (0%) | 0.279 |
| Hx of COPD (%) | 0 (%) | 2 (4.8%) | 0 (0%) | 0.099 |
| Hx of CVD (%) | 8 (12.5%) | 8 (19%) | 5 (15.6%) | 0.660 |
| Hx of PVD (%) | 4 (6.2%) | 3 (7.1%) | 1 (3.1%) | 0.752 |
| HCR (%) | 8 PCI (12.5) | 10 (23.8%) | 6 (18.7%) | NA |
Hx history, BMI body mass index, DM diabetes mellitus, LEVEF left ventricular ejection fraction, LEVEDD left ventricular end diastolic diameter, COPD chronic obstructive pulmonary disease, CVD cerebrovascular disease, PVD peripheral vascular disease, HCR hybrid coronary revascularization, PCI percutaneous coronary intervention
The peri- and postoperative outcomes for CSLH, MIDLH, and RALH groups
| Variables | CSLH (n = 64) | MIDLH (n = 42) | RALH (n = 32) | |
|---|---|---|---|---|
| LIMA harvesting time (min) | 36.9 ± 14.3 | 74.4 ± 24.2 | 164.7 ± 51.9 | < 0.001 |
| LIMA damage (%) | 0 (0%) | 0 (0%) | 1 (3.1%) | 0.192 |
| Conversion to sternotomy (%) | NA | 0 (0%) | 0 (0%) | NA |
| Need of CPB (%) | 0 (0%) | 0 (0%) | 0 (0%) | 1.000 |
| Post OP 24 h drainage (ml) | 578.8 ± 258.3 | 451.1 ± 399.2 | 285.3 ± 313.0 | < 0.001 |
| Re-exploration for bleeding (%) | 0 (0%) | 0 (0%) | 0 (0%) | 1.000 |
| Ventilation time (h) | 17.3 ± 19.1 | 9.9 ± 12.6 | 9.2 ± 9.4 | 0.017 |
| Total ICU stay (h) | 50.7 ± 36.1 | 34.9 ± 27.2 | 37.1 ± 25.8 | 0.024 |
| Perioperative MI (%) | 0 (0%) | 0 (0%) | 0 (0%) | 1.000 |
| In hospital mortality (%) | 0 (0%) | 0 (0%) | 0 (0%) | 1.000 |
| CTA patency on discharge (%) | 56/57 (98.2%) | 34/36 (94.4%) | 27/27 (100%) | 0.339 |
| One year CTA patency (%) | 47/51 (92.1%) | 30/33 (90.9%) | 24/25 (96%) | 0.754 |
Continuous data were shown as mean ± SD and categorical data were shown as number plus %. One way ANOVA with Welch robust test for equality of means was applied for statistical analysis. Post hoc analysis was done with Fisher's LSD and Gabriel's tests
CPB cardiopulmonary bypass, MI myocardial infarction, CTA computed tomographic angiography
Preoperative demographical and clinical data of sternotomy and non-sternotomy groups
| Variables | Sternotomy (n = 64) | Non-sternotomy (n = 74) | |
|---|---|---|---|
| Age (years) | 61.6 ± 10.6 | 61 ± 10.6 | 0.757 |
| Male gender (%) | 52 (81.2%) | 59 (79.7%) | 0.822 |
| Height (cm) | 163.4 ± 6.9 | 163.9 ± 7.4 | 0.648 |
| Weight (kg) | 68 ± 10.3 | 66.4 ± 10.6 | 0.370 |
| BMI (Kg/m2) | 25.4 ± 3.0 | 24.1 ± 2.9 | 0.013 |
| Hx of hypertension (%) | 49 (76.6%) | 45 (60.8%) | 0.048 |
| Hx of DM (%) | 23 (35.9%) | 22 (29.7%) | 0.438 |
| Hx of hyperlipidemia (%) | 9 (14.1%) | 10 (13.5%) | 0.926 |
| Hx of smoking (%) | 29 (45.3%) | 27 (36.5%) | 0.292 |
| LVEF (%) | 63.1 ± 8.5 | 64.8 ± 8.8 | 0.239 |
| LVEDD (mm) | 48.0 ± 5.6 | 47.3 ± 5.2 | 0.449 |
| Hx of renal impairment (%) | 5 (7.8%) | 3 (4.0%) | 0.471 |
| Hx of COPD (%) | 0 (%) | 2 (2.7%) | 0.499 |
| Hx of CVD (%) | 8 (12.5%) | 13 (17.6%) | 0.409 |
| Hx of PVD (%) | 4 (6.2%) | 4 (5.4%) | > 0.999 |
Hx history, BMI body mass index, DM diabetes mellitus, LEVEF left ventricular ejection fraction, LEVEDD left ventricular end diastolic diameter, COPD chronic obstructive pulmonary disease, CVD cerebrovascular disease, PVD peripheral vascular disease
Peri- and postoperative outcomes of sternotomy, and non-sternotomy groups
| Variables | Sternotomy (n = 64) | Non-sternotomy (n = 74) | |
|---|---|---|---|
| LIMA harvesting time (min) | 36.9 ± 14.3 | 113.6 ± 59.3 | < 0.001 |
| LIMA damage (%) | 0 (0%) | 1 (1.35%) | > 0.999 |
| Need of CPB (%) | 0 (0%) | 0 (0%) | 1.000 |
| Post OP 24 h drainage (%) | 578.8 ± 258.3 | 380.7 ± 372 | < 0.001 |
| Re-exploration for bleeding (%) | 0 (0%) | 0 (0%) | 1.000 |
| Ventilation time (h) | 17.3 ± 19.1 | 9.6 ± 11.3 | 0.004 |
| Total ICU stay (h) | 50.7 ± 36.1 | 35.8 ± 26.5 | 0.006 |
| Perioperative MI (%) | 0 (0%) | 0 (0%) | 1.000 |
| In hospital mortality (%) | 0 (0%) | 0 (0%) | 1.000 |
| CTA patency on discharge (%) | 56/57 (98.2%) | 61/63 (96.8%) | 0.619 |
| One year CTA patency (%) | 47/51 (92.1%) | 54/58 (93.1%) | 0.850 |
Continuous data were shown as means ± SD and categorical data were shown as number plus %. Unpaired student's t test was used for continuous variables and Chi square test was used for categorical variables comparison. Fisher's exact test was used in case of a small cell size