| Literature DB >> 33931691 |
Ling Chen1, Xiaochong He2, Zonghua Wang3, Ning Li4, Jishu Xian5, Jianmei Liao5, Xuanji Chen6, Yue Luo7.
Abstract
Burns are one of the most common injuries in daily life for all ages of population. This study was to investigate the epidemiology and outcomes among burn patients in one of the largest burn centers in the southwest of China. The study was performed at the Institute of Burn Research in the first affiliated with the Army Medical University (AMU). A total of 17,939 burn patients were included in this retrospective study. Information regarding burn epidemiology and outcomes in 17 years were collected, calculated and compared. The age ranged from 257 days to 95 years old. Scalding and flame were the two most common causes to burn injuries, comprising of 91.96% in total. Limbs, head/face/neck, and trunk were the most frequently occurred burn sites, with the number and the percent of 12,324 (68.70%), 7989 (44.53%), and 7771 (43.32%), respectively. The average total body surface area (TBSA) was 13.64 ± 16.83% (median 8%) with a range of 0.1-100%. A total of 874 (4.9%) patients had TBSA > 50%. The presence of a burn with an inhalation injury was confirmed in 543 patients (3.03%). The average LOS was 32.11 ± 65.72 days (median: 17 days). Eventually, the retrospective analysis resulted in the development of a burn management continuum used for developing strategies to prevent and manage severe burns. The annual number of burn injuries has kept decreasing, which was partially attributed to the increased awareness and education of burn prevention and the improved burn-preventative circumstances. However, the burn severity and the economic burden were still in a high level. And the gender difference and age difference should be considered when making individualized interventions and rehabilitative treatments.Entities:
Year: 2021 PMID: 33931691 PMCID: PMC8087787 DOI: 10.1038/s41598-021-88507-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Distribution of demographics and clinical features by age and gender.
| Item | Age | Gender | ||||||
|---|---|---|---|---|---|---|---|---|
| ≤ 17 (n = 7192) | 18–40 (n = 5383) | 41–60 (n = 4265) | ≥ 61 (n = 1099) | Male (n = 12204) | Female (5735) | |||
| Male | 4340 (60.3) | 4105 (76.3) | 3129 (73.4) | 630 (57.3) | < 0.001 | NA | NA | NA |
| Female | 2852 (39.7) | 1278 (23.7) | 1136 (26.6) | 469 (42.7) | NA | NA | NA | |
| Scald | 5393 (75.0) | 1448 (26.9) | 1363 (32.0) | 401 (36.5) | < 0.001 | 5068 (41.5) | 3537 (61.7) | < 0.001 |
| Flame | 1531 (21.3) | 3334 (61.9) | 2417 (56.7) | 610 (55.5) | 5920 (48.5) | 1972 (34.4) | ||
| Electrical | 216 (3.0) | 533 (9.9) | 417 (9.8) | 48 (4.4) | 1080 (8.8) | 134 (2.3) | ||
| Chemical | 4 (0.1) | 13 (0.2) | 10 (0.2) | 3 (0.3) | 23 (0.2) | 7 (0.1) | ||
| Other | 48 (0.7) | 55 (1.0) | 58 (1.4) | 37 (3.4) | 113 (0.9) | 85 (1.5) | ||
| No | 4307 (59.9) | 2632 (48.9) | 2262 (53.0) | 749 (68.2) | < 0.001 | 6440 (52.8) | 3510 (61.2) | < 0.001 |
| Yes | 2885 (40.1) | 2751 (51.1) | 2003 (47.0) | 350 (31.8) | 5764 (47.2) | 2225 (38.8) | ||
| No | 3604 (50.1) | 3361 (62.4) | 2512 (58.9) | 691 (62.9) | < 0.001 | 7005 (57.4) | 3163 (55.2) | 0.005 |
| Yes | 3588 (49.9) | 2022 (37.6) | 1753 (41.1) | 408 (37.1) | 5199 (42.6) | 2572 (44.8) | ||
| No | 2422 (33.7) | 1674 (31.1) | 1200 (28.1) | 319 (29.0) | < 0.001 | 3926 (32.2) | 1689 (29.5) | < 0.001 |
| Yes | 4770 (66.3) | 3709 (68.9) | 3065 (71.9) | 780 (71.0) | 8278 (67.8) | 4046 (70.5) | ||
| No | 6441 (89.6) | 4331 (80.5) | 3553 (83.3) | 962 (87.5) | < 0.001 | 10217 (83.7) | 5070 (88.4) | < 0.001 |
| Yes | 751 (10.4) | 1052 (19.5) | 712 (16.7) | 137 (12.5) | 1987 (16.3) | 665 (11.6) | ||
| No | 6946 (96.6) | 5056 (93.9) | 3914 (91.8) | 973 (88.5) | < 0.001 | 11443 (93.8) | 5446 (95.0) | 0.002 |
| Yes | 246 (3.4) | 327 (6.1) | 351 (8.2) | 126 (11.5) | 761 (6.2) | 289 (5.0) | ||
| No | 6477 (90.1) | 5200 (96.6) | 4090 (95.9) | 1045 (95.1) | < 0.001 | 11414 (93.5) | 5398 (94.1) | 0.133 |
| Yes | 715 (9.9) | 183 (3.4) | 175 (4.1) | 54 (4.9) | 790 (6.5) | 337 (5.9) | ||
| No | 5862 (81.5) | 4972 (92.4) | 3829 (89.8) | 948 (86.3) | < 0.001 | 10739 (88.0) | 4872 (85.0) | < 0.001 |
| Yes | 1330 (18.5) | 411 (7.6) | 436 (10.2) | 151 (13.7) | 1465 (12.0) | 863 (15.0) | ||
Figure 1Patient demographic distribution. (A) Distribution of different age groups of patients by months. (B) Distribution of different age groups of patients by years. (C) Distribution of the number of the total patients by years. (D) The distribution of the ratio of male to female by years.
Figure 2Distribution of burn causes by months in different age groups. (A) In total patients. (B) In patients under the age of 18 years old. (C) In patients aged between 18 and 60 years old. (D) In patients above the age of 60 years old.
Figure 3Etiology analysis. (A) Distribution of etiology by ages. (B) Distribution of etiology by gender.
The distribution of cure rates by burn severity.
| Cure rates | Burn severity [n, (%)] | |||
|---|---|---|---|---|
| ≤ 50% TBSA | 51–70% TBSA | 71–90% TBSA | ≥ 91% TBSA | |
| 2002–2005 | 3122 (99.5) | 79 (91.9) | 48 (80.0) | 6 (23.1) |
| 2006–2010 | 4828 (99.6) | 103 (93.6) | 72 (80.9) | 19 (54.3) |
| 2011–2015 | 6152 (99.1) | 159 (94.1) | 83 (78.3) | 19 (51.4) |
| 2016–2020 | 2815 (98.0) | 82 (89.1) | 40 (85.1) | 13 (76.5) |
Distribution of burn severity by age.
| ABSI burn score (score scale) | Age [n (%)] | Gender [n (%)] | ||||
|---|---|---|---|---|---|---|
| ≤ 17 (n = 7192) | 18–40 (n = 5383) | 41–60 (n = 4265) | ≥ 61 (n = 1099) | Male (n = 12204) | Female (n = 5735) | |
| Very low (2–3) | 4890 (68.0) | 1723 (32.0) | 0 | 0 | 5281 (43.3) | 1332 (23.2) |
| Moderate (4–5) | 1886 (26.2) | 2728 (50.7) | 2586 (60.6) | 137 (12.5) | 4630 (37.9) | 2707 (47.2) |
| Moderately severe (5–6) | 305 (4.2) | 444 (8.2) | 1006 (23.6) | 715 (65.1) | 1255 (10.3) | 1215 (21.2) |
| Serious (6–7) | 75 (1.0) | 200 (3.7) | 298 (7.0) | 160 (14.6) | 459 (3.8) | 274 (4.8) |
| Severe (8–9) | 21 (0.3) | 141 (2.6) | 173 (4.1) | 54 (4.9) | 279 (2.3) | 110 (1.9) |
| Maximum (≥ 10) | 15 (0.2) | 147 (2.7) | 202 (4.7) | 33 (3.0) | 300 (2.5) | 97 (1.7) |
Distribution of burn severity and burn outcomes by age, gender and etiology.
| With inhalation injury | Length of stay (LOS) | Length of stay in ICU | Cost | ABSI | BI | |
|---|---|---|---|---|---|---|
| ≤ 17 | 55 (0.8) | 19.20 (24.7) | 0.43 (3.5) | 18176.31 (46418.7) | 3.27 (1.3) | 6.98 (8.3) |
| 18–40 | 201 (3.7) | 43.22 (92.4) | 1.51 (10.2) | 68136.20 (182373.6) | 4.58 (2.2) | 9.58 (15.2) |
| 41–60 | 237 (5.6) | 42.10 (74.6) | 2.38 (11.5) | 93133.29 (222298.8) | 5.93 (2.3) | 10.92 (16.4) |
| ≥ 61 | 50 (4.5) | 23.47 (31.1) | 1.62 (8.9) | 45121.61 (93454.1) | 6.90 (1.7) | 8.19 (12.2) |
| < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |
| Males | 421 (3.4) | 35.68 (75.3) | 1.47 (9.3) | 61631.94 (174901.2) | 4.31 (2.3) | 9.24 (13.9) |
| Females | 122 (2.1) | 24.52 (36.7) | 0.91 (6.8) | 33504.29 (98215.4) | 4.95 (2.0) | 7.77 (11.2) |
| < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |
| Scald | 40 (0.5) | 20.85 (31.0) | 0.45 (3.9) | 24468.55 (81920.0) | 3.91 (1.8) | 6.65 (9.2) |
| Flame | 497 (6.3) | 40.41 (85.2) | 2.19 (11.6) | 78666.34 (203600.8) | 5.17 (2.6) | 11.83 (16.5) |
| Electrical | 6 (0.5) | 58.70 (87.1) | 1.61 (9.7) | 87808.60 (164215.0) | 4.48 (1.3) | 5.08 (8.4) |
| Chemical | 0 (0.0) | 25.67 (20.2) | 0.50 (2.4) | 33719.24 (45986.7) | 4.73 (1.5) | 5.64 (7.6) |
| Other | 0 (0.0) | 28.56 (28.3) | 0.14 (1.7) | 26795.12 (35891.0) | 4.73 (1.3) | 2.20 (2.7) |
| < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |
Multiple linear regressions of factors to the total medical cost.
| β (95% CI) | SD | P | |
|---|---|---|---|
| − 27998.0 (− 31996.7, − 23999.3) | 2040.1 | < 0.001 | |
| 4123.1 (3987.6, 4258.6) | 69.1 | < 0.001 | |
| 712.9 (687.5, 738.3) | 13.0 | < 0.001 | |
| 5864.6 (5674.1, 6055.1) | 97.2 | < 0.001 | |
| 9823.2 (6269.1, 13377.4) | 1813.3 | < 0.001 | |
| 4678.2 (4354.6, 5001.9) | 165.1 | < 0.001 | |
| ≤ 17 | Ref | Ref | Ref |
| 18–40 | 11862.1 (7818.6, 15905.6) | 2062.9 | < 0.001 |
| 41–60 | 26798.1 (22568.0, 31028.3) | 2158.1 | < 0.001 |
| ≥ 61 | 8756.1 (1972.1, 15540.1) | 3461.1 | < 0.05 |
| Male | Ref | Ref | Ref |
| Female | − 6619.0 (− 9953.1, − 3284.9) | 1701.0 | < 0.001 |
| Flame | Ref | Ref | Ref |
| Scald | 992.8 (− 2573.4, 4559.0) | 1819.4 | 0.59 |
| Electrical | 20719.9 (14065.0, 27374.9) | 3395.2 | < 0.001 |
| Chemical | − 2738.5 (− 39812.8, 34335.7) | 18914.5 | 0.89 |
| Others | 6514.4 (− 8239.5, 21268.4) | 7527.2 | 0.39 |
β means nonstandard coefficients. Ref means reference item, all other items showed the relative difference value compared to the reference item. The higher of the absolute value of the β score, the higher of the contribution to the medical cost is.
Logistic regression of factors related to the mortality.
| β | SE | OR | 95% CI | P | |
|---|---|---|---|---|---|
| 0.07 | 0.00 | 1.08 | (1.07, 1.09) | < 0.001 | |
| 0.68 | 0.34 | 1.98 | (1.02, 3.87) | < 0.05 | |
| − 0.15 | 0.02 | 0.86 | (0.83, 0.90) | < 0.001 | |
| ≤ 17 | Ref | Ref | Ref | Ref | Ref |
| 18–40 | 0.17 | 0.34 | 1.19 | (0.61, 2.32) | 0.61 |
| 41–60 | 0.83 | 0.33 | 2.30 | (1.20, 4.42) | < 0.05 |
| ≥ 61 | 1.23 | 0.48 | 3.41 | (1.34, 8.69) | < 0.05 |
| Male | Ref | Ref | Ref | Ref | Ref |
| Female | − 0.34 | 0.27 | 0.71 | (0.43, 1.18) | 0.18 |
Figure 4Burn prevention and management continuum.