| Literature DB >> 32417848 |
Mian Liu1, Haijie Zhu1, Rongshuai Yan2, Jiacai Yang1, Rixing Zhan1, Xunzhou Yu3, Xiaohong Hu1, Xiaorong Zhang1, Gaoxing Luo1, Wei Qian1.
Abstract
BACKGROUND This retrospective study aimed to investigate the epidemiology of burns to the hand, including the causes, demographic data, management, and outcome in a single center in Southwest China between 2012 and 2017. MATERIAL AND METHODS A retrospective study included 470 patients with hand burns who were treated at a single hospital in Southwest China between 2012 and 2017. Demographic, injury-related, and clinical data were obtained from the clinical electronic data collection system. RESULTS In 470 patients, men were more commonly admitted to hospital with hand burns (73.62%). Children under 10 years (29.57%) were the main patient group. Hospital admissions occurred in the coldest months, from December to March (55.11%). In 60.21% of cases, hand burns occurred outside the workplace. Fire (40.42%), electricity (30.85%), and hot liquids (20.21%) were the main causes of hand burns. Data from 428 patients showed that burns with a larger total body surface area and deeper burns were associated with surgery and amputation. Burn depth was a risk factor for skin grafting, and lack of burn cooling before hospital admission increased the risk of amputation. Data from 117 patients with localized burns showed that full-thickness burns and lack of cooling before admission were associated with an increased hospital stay. CONCLUSIONS The findings suggest that in Southwest China, prevention programs for children aged 0-9 years, injuries occurring in winter and non-workplace sites, and fire burns were imperative.Entities:
Mesh:
Year: 2020 PMID: 32417848 PMCID: PMC7222659 DOI: 10.12659/MSM.918881
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1The inclusion and exclusion criteria and the process of patient analysis.
General characteristics of 470 patients with burns to the hand.
| N | % | |
|---|---|---|
| Gender | ||
| Male | 346 | 73.62 |
| Female | 124 | 26.38 |
| Location of burn injury | ||
| Workplace | 187 | 39.78 |
| Others | 283 | 60.21 |
| Causes | ||
| Fire | 190 | 40.42 |
| Electricity | 145 | 30.85 |
| Chemical | 10 | 2.13 |
| Hot liquid | 95 | 20.21 |
| Hot solid | 28 | 5.96 |
| Others | 2 | 0.43 |
| TBSA (%) | ||
| T<1 | 17 | 3.62 |
| 1≤T<2 | 179 | 38.0851 |
| 2≤T<3 | 185 | 39.3617 |
| 3≤T<4 | 46 | 9.7872 |
| 4≤T≤5 | 43 | 9.1489 |
| Depth | ||
| Superficial partial-thickness | 116 | 24.68 |
| Deep partial-thickness | 196 | 41.70 |
| Full-thickness | 158 | 33.62 |
| Single hand | 223 | 47.45 |
| Double hands | 247 | 52.55 |
| Pre-hospital cooling | 76 | 16.17 |
| Localized hand burns | 150 | 31.91 |
Be burned only on their hands without other parts.
TBSA, total body surface area.
Figure 2The age groups of the patients with burns of the hands.
Figure 3The distribution of injury in months of the patients with burns of the hands.
The treatment schedules in the 428 patients in the study.
| N | % | |
|---|---|---|
| Surgery | 149 | 34.81 |
| Skin graft | 143 | 33.41 |
| Amputation | 45 | 10.51 |
Characteristics of the patients with burns to the hand, with or without surgery, skin grafts, or amputation.
| Surgery | χ2 | P-value | Skin graft | χ2 | P-value | Amputation | χ2 | P-value | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | Yes | No | Yes | No | Yes | |||||||
| Male | 204 | 115 | 0.845 | 0.358 | 209 | 110 | 0.646 | 0.421 | 287 | 32 | 0.310 | 0.578 |
| Female | 75 | 34 | 76 | 33 | 96 | 13 | ||||||
| 0–19 | 106 | 39 | 6.080 | 0.048 | 108 | 37 | 6.146 | 0.046 | 132 | 13 | 1.478 | 0.478 |
| 20–49 | 121 | 76 | 123 | 74 | 177 | 20 | ||||||
| ≥50 | 52 | 34 | 54 | 32 | 74 | 12 | ||||||
| Workplace | 99 | 73 | 7.375 | 0.007 | 102 | 70 | 6.862 | 0.009 | 154 | 18 | 0.001 | 0.978 |
| Others | 180 | 76 | 183 | 73 | 229 | 27 | ||||||
| Fire | 117 | 50 | 28.385 | <0.001 | 121 | 46 | 28.424 | <0.001 | 150 | 17 | 10.357 | 0.016 |
| Electrical burn | 70 | 66 | 72 | 64 | 117 | 19 | ||||||
| Hot fluid | 73 | 15 | 73 | 15 | 86 | 2 | ||||||
| Others | 19 | 18 | 19 | 18 | 21 | 5 | ||||||
| T<1 | 13 | 2 | 18.713 | 0.001 | 13 | 2 | 16.830 | 0.002 | 15 | 0 | 12.264 | 0.015 |
| 1≤T<2 | 119 | 38 | 120 | 37 | 149 | 8 | ||||||
| 2≤T<3 | 96 | 77 | 99 | 74 | 148 | 25 | ||||||
| 3≤T<4 | 28 | 16 | 29 | 15 | 36 | 8 | ||||||
| 4≤T≤5 | 23 | 16 | 24 | 15 | 35 | 4 | ||||||
| Superficial partial-thickness | 102 | 0 | 201.751 | <0.001 | 101 | 1 | 179.478 | <0.001 | 102 | 0 | 85.149 | <0.001 |
| Deep partial-thickness | 144 | 30 | 144 | 30 | 173 | 1 | ||||||
| Full-thickness | 33 | 119 | 40 | 112 | 108 | 44 | ||||||
| No | 227 | 135 | 6.361 | 0.012 | 233 | 129 | 5.220 | 0.022 | 318 | 44 | 6.716 | 0.010 |
| Yes | 52 | 14 | 52 | 14 | 65 | 1 | ||||||
TBSA – total body surface area.
Multiple logistic regression analysis to identify prognostic indicators for surgery.
| B | SE | P-value | OR | 95% CI | |
|---|---|---|---|---|---|
| Gender | 0.372 | 0.230 | 0.640 | 0.309–1.327 | |
| Age | 0.204 | 0.217 | 0.347 | 1.226 | 0.801–1.876 |
| Location | 0.052 | 0.359 | 0.884 | 1.054 | 0.521–2.131 |
| Fire | 0.564 | 0.663 | 0.782 | 0.259–2.364 | |
| Electrical burn | 0.533 | 0.46 | 0.674 | 0.237–1.918 | |
| Hot fluid | 0.664 | 0.884 | 0.908 | 0.247–3.339 | |
| TBSA | 0.330 | 0.152 | 1.39 | 1.032–1.873 | |
| Burn depth | 3.183 | 0.312 | 24.108 | 13.080–44.434 | |
| Pre-hospital cooling | 0.468 | 0.536 | 0.748 | 0.299–1.874 |
−21og likelihood=312.173; TBSA – total body surface area; SE – standard error; OR – odds ratio; CI – confidence interval.
Multiple logistic regression analysis to identify the predictors of skin grafting.
| B | SE | Wald | P-value | OR | 95% CI | |
|---|---|---|---|---|---|---|
| Gender | 0.349 | 0.851 | 0.356 | 0.724 | 0.365–1.437 | |
| Age | 0.171 | 0.206 | 0.690 | 0.406 | 1.186 | 0.793–1.776 |
| Location | 0.121 | 0.344 | 0.124 | 0.724 | 1.129 | 0.575–2.215 |
| Fire | 0.531 | 1.013 | 0.314 | 0.586 | 0.207–1.659 | |
| Electrical burn | 0.500 | 0.671 | 0.413 | 0.664 | 0.249–1.769 | |
| Hot fluid | 0.620 | 0.252 | 0.615 | 0.732 | 0.217–2.468 | |
| TBSA | 0.269 | 0.144 | 3.516 | 0.061 | 1.309 | 0.988–1.735 |
| Burn depth | 2.730 | 0.278 | 96.579 | 15.331 | 8.895–26.425 | |
| Pre-hospital cooling | 0.442 | 0.242 | 0.622 | 0.805 | 0.338–1.912 |
−21og likelihood=312.173; TBSA – total body surface area; SE – standard error; OR – odds ratio; CI – confidence interval.
Multiple logistic regression analysis to identify the predictors of amputation.
| B | SE | Wald | P-value | OR | 95% CI | |
|---|---|---|---|---|---|---|
| Gender | 0.448 | 0.001 | 0.975 | 0.986 | 0.410–2.374 | |
| Age | 0.383 | 0.283 | 1.825 | 0.177 | 1.467 | 0.841–2.556 |
| Location | 1.102 | 0.482 | 5.230 | 0.022 | 3.010 | 1.171–7.738 |
| Fire | 0.718 | 1.672 | 0.196 | 0.395 | 0.097–1.614 | |
| Electrical burn | 0.613 | 1.883 | 0.170 | 0.431 | 0.130–1.434 | |
| Hot fluid | 1.016 | 2.587 | 0.108 | 0.195 | 0.027–1.429 | |
| TBSA | 0.499 | 0.226 | 4.886 | 1.646 | 1.058–2.562 | |
| Burn depth | 4.603 | 1.046 | 19.360 | 99.817 | 12.843–775.769 | |
| Pre-hospital cooling | 1.115 | 3.914 | 0.110 | 0.012–0.98 |
−21og likelihood=312.173; TBSA – total body surface area; SE – standard error; OR – odds ratio; CI – confidence interval.
Ordinal logistic regression analysis of the predictors of the length of hospital stay.
| SE | Wald | P-value | OR | 95% CI | |
|---|---|---|---|---|---|
| Superficial and deep partial-thickness (reference) | |||||
| Full-thickness | 0.400 | 17.715 | <0.001 | 5.383 | 2.458–11.788 |
| No | 0.523 | 5.693 | 0.017 | 3.481 | 1.250–9.698 |
| Yes (reference) | |||||
LOS – length of hospital stay; SE – standard error; OR – odds ratio; CI – confidence interval.