02 February 2022: Clinical Research
Use of the Braden Scale to Predict Injury Severity in Mass Burn Casualties
Zhikang Zhu 12ABCDEF* , Bin Xu 12ABD* , Jiaming Shao 12BCD , Shuangshuang Wang 123BC , Ronghua Jin 12CD , Tingting Weng 12CD , Sizhan Xia 12CD , Wei Zhang 12CD , Min Yang 12CD , Chunmao Han 12ABDG* , Xingang Wang 12ABCDEF*DOI: 10.12659/MSM.934039
Med Sci Monit 2022; 28:e934039
Table 1 Patient characteristics and potential predictors of injury severity.
| Non-severe (NISS <16) | Severe (NISS ≥16) | T/χ2 value | Sig. (2-tailed) | |
|---|---|---|---|---|
| Gender | 0.408** | 0.523 | ||
| Male | 76 (61.79%) | 25 (67.57%) | ||
| Female | 47 (38.21%) | 12 (32.43%) | ||
| Age (y) | 47.47±17.47 | 54.03±16.11 | −2.036* | 0.043 |
| Occupation | 0.285** | 0.867 | ||
| Farmer | 72 (58.54%) | 21 (56.76%) | ||
| Worker | 44 (35.77%) | 13 (35.14%) | ||
| Other | 7 (5.69%) | 3 (8.11%) | ||
| Hypertension | 1.647** | 0.249 | ||
| Yes | 16 (13.01%) | 2 (5.41%) | ||
| No | 107 (86.99%) | 35 (94.59%) | ||
| Diabetes | 0.535** | 0.683 | ||
| Yes | 7 (5.69%) | 1 (2.70%) | ||
| No | 116 (94.31%) | 36 (97.30%) | ||
| High risk of shock# | 16.131** | 0.001 | ||
| Yes | 1 (0.81%) | 6 (16.22%) | ||
| No | 122 (99.19%) | 31 (83.78%) | ||
| >10% 2 degree burns | 42.069** | |||
| Yes | 5 (4.07%) | 17 (45.95%) | ||
| No | 118 (95.93%) | 20 (54.05%) | ||
| Inhalation injury | 27.501** | |||
| Yes | 5 (4.07%) | 13 (34.21%) | ||
| No | 118 (95.93%) | 24 (65.79%) | ||
| NRS | 2.13±0.98 | 3.73±2.51 | −3.786* | 0.001 |
| GCS | 14.99±0.09 | 13.24±3.36 | 3.164* | 0.003 |
| Braden Scale | 20.60±2.85 | 14.43±3.88 | 8.965* | |
| ICU admission | 69.113* | |||
| Yes | 2 (1.63%) | 13 (35.14%) | ||
| No | 121 (98.37%) | 24 (64.86%) | ||
| 30-day hospital discharge | 37.592* | |||
| Yes | 115 (93.50%) | 11 (29.73%) | ||
| No | 8 (6.50%) | 26 (70.27%) | ||
| NISS – New Injury Severity Score; NRS – numerical rating scale; GCS – Glasgow Coma Scale. Categorical variables are presented as numbers (%), and continuous variables as mean±SD. # High risk of shock is denoted by a value ≥1 for heart rate/systolic blood pressure. * Independent samples test or Mann-Whitney U test, depending on the normality of the data distribution. ** Chi-squared or Fisher exact test, depending on the theoretical frequency of each grid. | ||||