| Literature DB >> 36082090 |
Tae Hyun Kong1, Kyu-Jin Chung1, Taegon Kim1, Jun-Ho Lee1.
Abstract
Background: The use of an acellular dermal matrix is advantageous for direct-to-implant breast reconstruction after skin-preserving mastectomy, but is associated with postoperative complications, especially increased seroma. Therefore, this study aimed to determine whether acellular dermal matrix surface area and thickness are associated with an increased risk of seroma.Entities:
Keywords: Acellular dermal matrix (ADM); breast implant; breast reconstruction; seroma
Year: 2022 PMID: 36082090 PMCID: PMC9445715 DOI: 10.21037/gs-22-175
Source DB: PubMed Journal: Gland Surg ISSN: 2227-684X
Classification by acellular dermal matrix size and thickness
| Size | Thin (<2.5 mm) | Thick (≥2.5 mm) |
|---|---|---|
| Small (≤64 cm²) | Group I | Group III |
| Large (>64 cm²) | Group II | Group IV |
Criteria of acellular dermal matrix thickness
| ADM type | Thin (<2.5 mm) | Thick (≥2.5 mm) |
|---|---|---|
| AlloDerm | 1.66 | 2.8 |
| MegaDerm | 1.25, 1.9 | 2.65 |
| CGCryoDerm | 1.5, 1.62, 1.66 | 2.5, 2.65 |
The thickness is the average value provided by the manufacturer (e.g., 1–2 mm is calculated as 1.5-mm thickness). ADM, acellular dermal matrix.
Criteria of acellular dermal matrix surface area
| ADM type | Small (≤64 cm²) | Large (>64 cm²) |
|---|---|---|
| AlloDerm | 48, 60, 64 | 96 |
| MegaDerm | 48, 64 | 96, 126 |
| CGCryoDerm | 40, 48, 52, 55, 56, 60, 64 | 70, 75, 80, 90, 96, 112, 114, 120, 144 |
ADM, acellular dermal matrix.
Patients’ demographics by groups
| Characteristic | Group I (n=77) | Group II (n=63) | Group III (n=42) | Group IV (n=37) | P value |
|---|---|---|---|---|---|
| Mean age ± SD, years | 45.18±7.12 | 47.25±6.46 | 43.88±6.57 | 50.05±8.37 | <0.001 |
| Mean BMI ± SD, kg/m2 | 22.29±2.26 | 22.47±2.87 | 22.43±2.79 | 21.99±2.55 | 0.829 |
| Comorbid conditions, n (%) | |||||
| Diabetes | 1 (1.3) | 3 (4.8) | 1 (2.4) | 1 (2.7) | 0.630 |
| Hypertension | 2 (2.6) | 2 (3.2) | 1 (2.4) | 1 (2.7) | 1.000 |
| Mean mastectomy volume ± SD, cc | 225.73±115.59 | 263.87±118.97 | 248.81±129.44 | 242.14±109.7 | 0.300 |
| Adjuvant chemotherapy, n (%) | 30 (39.0) | 30 (47.6) | 17 (40.5) | 17 (45.9) | 0.729 |
| Mean implant volume ± SD, cc | 202.57±72.4 | 237.86±76.25 | 225.76±83.6 | 229.32±82.25 | 0.051 |
| NSM, n (%) | 36 (46.8) | 36 (57.1) | 22 (52.4) | 21 (56.8) | 0.608 |
SD, standard deviation; BMI, body mass index; NSM, nipple-sparing mastectomy.
Comparison of drain volume and period by groups
| Characteristic | Group I (n=77) | Group II (n=63) | Group III (n=42) | Group IV (n=37) | P value |
|---|---|---|---|---|---|
| Drain volume, mL | |||||
| Mean supramuscular drain ± SD | 191.13±133.03 | 165.65±137.73 | 186.79±118.71 | 130.08±109.55 | 0.098 |
| Mean submuscular drain ± SD | 430.82±186.46a | 614.38±287.4b | 360.86±176.2a | 574.38±346.74b | <0.001 |
| Mean total drain ± SD | 621.95±243.77ab | 780.03±336.98b | 547.64±223.98a | 704.46±351.85ab | <0.001 |
| Drain period, days | |||||
| Mean supramuscular drain ± SD | 7.61±3.03 | 7.19±2.81 | 7.60±2.47 | 6.19±2.71 | 0.069 |
| Mean submuscular drain ± SD | 13.26±4.42a | 17.79±7.18b | 10.52±3.81a | 16.92±6.87b | <0.001 |
a,b, Scheffe’s multiple comparison. Means followed by the same letter in a column are not significantly different. SD, standard deviation.
Figure 1Supramuscular, submuscular, and total drainage volume (mL) by groups. *, P<0.01.
Figure 2Supramuscular and submuscular drainage period (days) by groups. *, P<0.01.
Postoperative minor complications by groups
| Complication | Group I (n=77), n (%) | Group II (n=63), n (%) | Group III (n=42), n (%) | Group IV (n=37), n (%) | All patients (n=219), n (%) | P value |
|---|---|---|---|---|---|---|
| Infection | 2 (2.6) | 10 (15.9) | 0 (0.0) | 5 (13.5) | 17 (7.8) | 0.002 |
| Delayed wound healing | 4 (5.2) | 2 (3.2) | 1 (2.4) | 1 (2.7) | 8 (3.7) | 0.921 |
| Seroma | 1 (1.3) | 11 (17.5) | 0 (0.0) | 7 (18.9) | 19 (8.7) | <0.001 |
Figure 3Pearson correlation coefficient of total drain volume and characteristics.