| Literature DB >> 35086317 |
Kasra N Fallah1, Logan A Konty1, Brady J Anderson1, Alfredo Cepeda1, Grigorios A Lamaris1, Phuong D Nguyen1, Matthew R Greives1.
Abstract
BACKGROUND: Predicting the need for post-traumatic reconstruction of lower extremity injuries remains a challenge. Due to the larger volume of cases in adults than in children, the majority of the medical literature has focused on adult lower extremity reconstruction. This study evaluates predictive risk factors associated with the need for free flap reconstruction in pediatric patients following lower extremity trauma.Entities:
Keywords: Free flap; Lower extremity reconstruction; Pediatric; Predictive factors; Trauma
Year: 2022 PMID: 35086317 PMCID: PMC8795634 DOI: 10.5999/aps.2021.00675
Source DB: PubMed Journal: Arch Plast Surg ISSN: 2234-6163
Fig. 1.A 4-year-old male with a Gustilo IIIB injury from a lawnmower. (A) Open dorsal and medial wound with exposed bone. (B) Immediately postoperative view following anterolateral thigh free flap reconstruction. (C) Two years postoperative view.
Fig. 2.International Classification of Diseases (ICD) codes used and study design. LE, lower extremity.
Patient demographics stratified by type of reconstruction
| Variable | Total (n = 1,821) | Simple reconstruction (n = 1,696) | Skin graft (n = 19) | Local flap (n = 65) | Free flap (n = 41) | P-value | |
|---|---|---|---|---|---|---|---|
| Age (yr) | 10 (4–14) | 10 (4–14) | 13 (9–16) | 14 (8–16) | 14 (11–15) | < 0.001[ | |
| Male sex | 1,222 (67) | 1,132 (67) | 14 (74) | 44 (68) | 32 (78) | 0.13 | |
| Ethnicity/race | 0.74 | ||||||
| African American | 438 (24) | 414 (24) | 6 (32) | 10 (15) | 8 (20) | ||
| Asian | 21 (1) | 19 (1) | 0 | 1 (2) | 1 (2) | ||
| Caucasian | 654 (36) | 604 (36) | 5 (26) | 27 (42) | 18 (44) | ||
| Hispanic | 526 (29) | 493 (29) | 6 (32) | 17 (26) | 10 (24) | ||
| Other | 182 (10) | 166 (10) | 2 (10) | 10 (15) | 4 (10) | ||
| Income by zip code ($) | 52,283 (40,795–70,815) | 52,269 (40,679–70,326) | 54,786 (46,311–76,387) | 56,760 (44,386–73,466) | 49,923 (40,693–66,775) | 0.22 | |
Values are presented as median (interquartile range) or number (%).
Statistically significant, P<0.05.
Trauma information stratified by type of reconstruction
| Variable | Total (n = 1,821) | Simple reconstruction (n = 1,696) | Skin graft (n = 19) | Local flap (n = 65) | Free flap (n = 41) | P-value | |
|---|---|---|---|---|---|---|---|
| Trauma type | 0.72 | ||||||
| Blunt | 1,712 (94) | 1,600 (94) | 17 (89) | 57 (88) | 38 (93) | ||
| Penetrating | 109 (6) | 96 (6) | 2 (11) | 8 (12) | 3 (7) | ||
| Trauma team activation | 886 (49) | 800 (47) | 9 (47) | 45 (69) | 32 (78) | < 0.001[ | |
| Median ISS | 9 (4–14) | 9 (4–13) | 4 (1–16) | 9 (5–16) | 10 (5–17) | 0.28 | |
| Mechanism of injury | < 0.001[ | ||||||
| Aggravated assault | 106 (6) | 97 (6) | 1 (5) | 6 (9) | 2 (5) | ||
| All-terrain vehicle | 95 (5) | 72 (4) | 4 (21) | 9 (14) | 10 (24) | ||
| Bicycle | 69 (4) | 66 (4) | 0 | 1 (2) | 2 (5) | ||
| Fall | 394 (22) | 387 (23) | 1 (5) | 5 (8) | 1 (2) | ||
| Motorcycle | 42 (2) | 32 (2) | 1 (5) | 5 (8) | 4 (10) | ||
| Motor vehicle | 473 (26) | 449 (26) | 3 (16) | 12 (18) | 9 (22) | ||
| Pedestrian | 214 (12) | 188 (11) | 5 (27) | 13 (20) | 8 (20) | ||
| Sporting | 143 (8) | 140 (8) | 1 (5) | 2 (3) | 0 | ||
| Other | 285 (15) | 265 (16) | 3 (16) | 12 (18) | 5 (12) | ||
Values are presented as number (%) or median (interquartile range).
Statistically significant, P<0.05.
Operative information for patients who required free flap reconstruction
| Variable | Free flap (n = 41) |
|---|---|
| Gustilo grade III tibia fracture | 18 (44) |
| Wound size (cm2) | 200 (150–400) |
| Time to definitive fixation (day) | 4 (1–8) |
| Time to definitive reconstruction (day) | 8 (5–9) |
| No. of procedures until reconstruction | 4 (4–6) |
| Type of free flap | |
| Gracilis | 2 (5) |
| Lateral arm | 2 (5) |
| Latissimus dorsi | 21 (51) |
| Radial forearm | 12 (29) |
| Rectus abdominis | 4 (10) |
Values are presented as number (%) or median (interquartile range).
Fig. 3.Forest plot of multivariate logistic regression. a)Statistically significant, P<0.05.
Fig. 4.Receiver operating characteristic curve for our predictive model. AUC, area under the curve.