| Literature DB >> 34174795 |
Atilla Şenayli1, Güven Çankaya2, Can Ihsan Öztorun1, Hakan Oflaz3, Emrah Şenel1.
Abstract
Background/aim: We evaluated the feasibility of producing splints with 3D printer technology to prevent contractures in burned children in our clinical prospective study. Materials and methods: After approvals, children with burns greater than 2nd degree were included in the study. Age, sex, burn percentages, printing time, filament types, number of filament trials, splint suitability, patient and doctor comments, preclinical trials’ significances and financial impact were evaluated statistically.Entities:
Keywords: burns; children; contracture; splint; Three dimension; printing
Mesh:
Substances:
Year: 2021 PMID: 34174795 PMCID: PMC8742488 DOI: 10.3906/sag-2104-170
Source DB: PubMed Journal: Turk J Med Sci ISSN: 1300-0144 Impact factor: 0.973
The demography of the patients who were prepared with a 3D printer and the number of times the trials were performed. *Trials with gumshield. Gumshiled trials were not included in the total since they were not routinely planned.
| Patient no | Age(year) | Sex | Left hand | Left arm | Right hand | Rightarm | Mouth | Right foot and leg | Left foot and leg | Burn % |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 12 | M | 2 | 2 | 2 | 51 | ||||
| 2 | 8 | M | 3 | 2 + 3* | 58 | |||||
| 3 | 4 | M | 3 | 1 | 2 | 35 | ||||
| 4 | 3 | M | 1 | 20 | ||||||
| 5 | 3 | F | 2 | 2 | 20 | |||||
| 6 | 1 | F | 1 | 1 | 31 | |||||
| 7 | 3 | M | 1 | 1 | 2 + 2* | 3 | 3 | 27 | ||
| 8 | 4 | M | 1 | 2 | 2 | 2 | 2 | 45 | ||
| 9 | 2 | M | 2 | 2 | 50 | |||||
| 10 | 9 | M | 2 | 2 | 2 | 2 | 44 | |||
| 11 | 3 | F | 2 | 2 | 2 | 44 | ||||
| 12 | 5 | M | 2 | 40 | ||||||
| 13 | 1 | M | 3 | 10 | ||||||
| 14 | 11 | M | 3 | 35 | ||||||
| 15 | 2 | F | 1 | 1 | 39 | |||||
| 16 | 16 | M | 1 | 30 | ||||||
| 17 | 1 | M | 1 | 30 | ||||||
| 18 | 6 | M | 1 | 1 | 1 | 1 | 55 |
Demographic and clinical features of the patients.
| n = 18 | |
|---|---|
| Age (year) | 3.5 (1–16) |
| Sex | |
| Male | 14 (77.8%) |
| Female | 4 (22.2%) |
| Burn percentage | 36.9±13.0 |
| Splint region | |
| Upper extremity | 16 (88.9%) |
| Lower extremity | 3 (16.7%) |
| Mouth | 7 (38.9%) |
| Number of splint regions | |
| Only one region | 12 (66.7%) |
| Two regions | 4 (22.2%) |
| Three regions | 2 (11.1%) |
Filament types according to the localization. Polyflex (polyurethane); polylactic acid (PLAflex); thermoplastic polyurethane (TPU), semiflexible copolyester (nGenflex).
| Filament trials (number) | Percentage | |
|---|---|---|
| Upper extremity | 30 | 100.0 |
| PLAFlex | 11 | 34.4 |
| PolyFlex | 11 | 34.4 |
| nGenFlex | 2 | 6.5 |
| PolyFlex/nGenFlex | 2 | 6.5 |
| TPU | 1 | 3.3 |
| nGenFlex/TPU | 1 | 3.3 |
| TPU/PLAFlex | 1 | 3.3 |
| TPU/PolyFlex | 1 | 3.3 |
| Lower Extremity | 6 | 100.0 |
| PolyFlex/GenFlex | 2 | 33.3 |
| PolyFlex/PLAFlex | 2 | 33.3 |
| TPU | 2 | 33.3 |
| Mouth | 7 | 100.0 |
| PolyFlex | 7 | 100.0 |
Frequency distribution of filament numbers according to the localization.
| Patient numbers | Percentage | |
|---|---|---|
| Upper extremity | 16 | 100.0 |
| 1 filament | 6 | 37.5 |
| 2 filaments | 8 | 50.0 |
| 4 filaments | 2 | 12.5 |
| Lower extremity | 3 | 100.0 |
| 2 filaments | 3 | 100.0 |
| Mouth | 7 | 100.0 |
| 1 filament | 7 | 100.0 |
| Total | 18 | 100.0 |
| 1 filament | 6 | 33.3 |
| 2 filaments | 5 | 27.8 |
| 3 filaments | 3 | 16.7 |
| 4 filaments | 2 | 11.1 |
| 5 filaments | 2 | 11.1 |
Demographic and clinical features of the patients according to region numbers, doctor comment and conclusive result
| Splint in one region(n = 12) | Splint in more than one region (n = 6) | p-value | |
|---|---|---|---|
| Age (year) | 3 (1–16) | 4 (3–12) | 0.385† |
| Sex | >0.999‡ | ||
| Male | 9 (75.0%) | 5 (83.3%) | |
| Female | 3 (25.0%) | 1 (16.7%) | |
| Burn Percentage | 33.7±13.0 | 43.3±11.1 | 0.140¶ |
| Suitable according to doctor comment (n = 8) | Not suitable according to doctor comment (n = 10) | p-value | |
| Age (year) | 3 (1–16) | 4 (1–12) | 0.965† |
| Sex | 0.275‡ | ||
| Male | 5 (62.5%) | 9 (90.0%) | |
| Female | 3 (37.5%) | 1 (10.0%) | |
| Burn percentage | 32.2±12.4 | 38.2±13.9 | 0.645¶ |
| Conclusive resultpartial successful (n=6) | Conclusive resultsuccessful (n = 12) | p-value | |
| Age (year) | 3 (1–12) | 3.5 (1–16) | 0.553† |
| Sex | >0.999‡ | ||
| Male | 5 (83.3%) | 9 (75.0%) | |
| Female | 1 (16.7%) | 3 (25.0%) | |
| Burn percentage | 39.2±17.6 | 35.8±10.7 | 0.613¶ |
†Mann–Whitney U test, ‡Fisher’s exact test, ¶Student’s t-test.
Correlation coefficients and significance levels according to filament numbers with age and burn percentage.
| Age | Burn percentage | |||
|---|---|---|---|---|
| Correlationcoefficient | p-value † | Correlationcoefficient | p-value † | |
| Number of region for splints | 0.192 | 0.444 | 0.310 | 0.210 |
| Total filament numbers | 0.157 | 0.533 | 0.471 | 0.049 |
| Total printing time | 0.029 | 0.909 | 0.283 | 0.255 |
| Total preclinical trial | 0.216 | 0.405 | 0.353 | 0.164 |
| Total clinical trial | 0.237 | 0.344 | 0.256 | 0.305 |
†Spearman’s rank order correlation analysis.
Clinical findings according to localizations.
| Upper extremity(n = 16) | Lower extremity(n = 3) | Mouth(n = 7) | |
|---|---|---|---|
| Printing time (hour) | 9 (6–13) | 18 (15–29) | 4 (2–4) |
| Preclinical trial | 2 (1–4) | 2 (2–2) | 4 (2–10) |
| Clinical trial | 2 (1–3) | 2 (1–3) | 2 (1–5) |
| Trial results | |||
| Suitable | 13 (81.25%) | - | 7 (100.0%) |
| Thickness problem | 2 (12.50%) | - | - |
| Unsuitable for dressing | 1 (6.25%) | - | - |
| Cutting necessity | - | 1 (33.3%) | - |
| Model change | - | 2 (66.7%) | - |
| Patient comment | |||
| Suitable | 4 (25.0%) | - | - |
| Too young to comment | 9 (56.25%) | 3 (100.0%) | 2 (28.6%) |
| Pain | 1 (6.25%) | - | 1 (14.3%) |
| Unconscious | 1 (6.25%) | - | - |
| Pain in joint | 1 (6.25%) | - | - |
| Not matter | - | - | 4 (57.1%) |
| Doctor comment | |||
| Suitable | 8 (50.0%) | - | 6 (85.7%) |
| Not Suitable | 8 (50.0%) | 3 (100.0%) | 1 (14.3%) |
| Conclusive result | |||
| Revision | 3 (18.75%) | - | - |
| Partial Success | 2 (12.50%) | 1 (33.3%) | - |
| Suitable | 11 (68.75%) | 2 (66.7%) | 7 (100.0%) |