| Literature DB >> 30705904 |
Henry Tan Chor Lip1,2, Jih Huei Tan1,2, Mathew Thomas3, Farrah-Hani Imran2, Tuan Nur' Azmah Tuan Mat1.
Abstract
BACKGROUND: Prognostic measures to determine burn mortality are essential in evaluating the severity of individual burn victims. This is an important process of triaging patients with high risk of mortality that may be nursed in the acute care setting. Malaysian burn research is lacking with only one publication identified which describes the epidemiology of burn victims. Therefore, the objective of this study was to go one step further and identify the predictors of burn mortality from a Malaysian burns intensive care unit (BICU) which may be used to triage patients at higher risk of death.Entities:
Keywords: Burn; Degree; Inhalation injury; Mortality predictors
Year: 2019 PMID: 30705904 PMCID: PMC6348617 DOI: 10.1186/s41038-018-0140-1
Source DB: PubMed Journal: Burns Trauma ISSN: 2321-3868
Patient demographics and comparison between survivors and non-survivors in a Malaysian burns intensive care unit
| Variable | All episodes, | Survivor, | Non-survivor, |
|---|---|---|---|
| ( | ( | ( | |
| Agea (years) | 35.6 (±15.7) | 35.1 (±15.6) | 39.7 (±15.9) |
| Age group (years) | |||
| ≤ 18 | 34 (8.7) | 32 (9.3) | 2 (4.2) |
| 19–49 | 287 (73.0) | 254 (73.6) | 33 (68.8) |
| 50–64 | 48 (12.2) | 40 (11.6) | 8 (16.7) |
| 65–74 | 15 (3.8) | 11 (3.2) | 4 (8.3) |
| ≥ 75 | 9 (2.3) | 8 (2.3) | 1 (2.1) |
| Gender | |||
| Male | 290 (73.8) | 254 (73.6) | 36 (75.0) |
| Female | 103 (26.2) | 91 (26.4) | 12 (25.0) |
| Race | |||
| Malay | 183 (46.6) | 165 (47.8) | 18 (37.5) |
| Chinese | 85 (21.6) | 73 (21.2) | 12 (25.0) |
| Indian | 34 (8.7) | 27 (7.8) | 7 (14.6) |
| Others | 91 (23.2) | 80 (23.2) | 11 (22.9) |
| LOSa (days) | 9 (3.0–20.0) | 9 (3.0–20.0) | 9 (6.0–20.3) |
| % TBSAa | 18.8 (±19.5) | 14.7 (±13.9) | 48.7 (±26.9) |
| % TBSA group | |||
| 0 – 10% | 160 (40.7) | 156 (45.2) | 4 (8.3) |
| 10 – 20% | 104 (26.5) | 101 (29.3) | 3 (6.3) |
| 20 – 30% | 51 (13.0) | 46 (13.3) | 5 (10.4) |
| 30 – 40% | 22 (5.6) | 17 (4.9) | 5 (10.4) |
| ≥ 40% | 56 (14.2) | 25 (7.2) | 31 (64.6) |
| Degree of burn | |||
| Partial-thickness | 342 (87.0) | 306 (88.7) | 36 (75.0) |
| Full-thickness | 216 (55.0) | 179 (51.9) | 37 (77.1) |
| Inhalation injury | 98 (24.9) | 61 (17.7) | 37 (77.1) |
| SIRS at presentation | 169 (43.0) | 131 (38.0) | 38 (79.2) |
| Ventilation | 93 (23.7) | 46 (13.3) | 47 (97.9) |
| Ventilation perioda (days) | 10 (4.5–14.0) | 10 (5.0–16.0) | 10 (4.0–13.0) |
LOS length of stay, % TBSA percentage total body surface area, SIRS systemic inflammatory response syndrome
aMean ± standard deviation (SD) or median with the corresponding first and third quartiles (Q1–Q3)
Burn injury mechanism, place of burn and cause of deaths in survivors and non-survivors in a Malaysian burns intensive care unit
| Variable | All episodes, | Survivor, | Non-survivor, |
|---|---|---|---|
| ( | ( | ( | |
| Burn injury mechanism | |||
| Thermal | 343 (87.3) | 303 (87.8) | 40 (83.3) |
| Chemical | 31 (7.9) | 25 (7.2) | 6 (12.5) |
| Electrical | 15 (38.5) | 14 (4.1) | 1 (2.1) |
| Others | 4 (1.0) | 3 (0.9) | 1 (2.1) |
| Place of burn | |||
| Household | 189 (48.1) | 168 (48.7) | 21 (43.8) |
| Industrial | 137 (34.9) | 121 (35.1) | 16 (33.3) |
| Road traffic accident | 29 (7.4) | 25 (7.2) | 4 (8.3) |
| Non-accidental | 43 (10.9) | 33 (9.6) | 10 (20.8) |
| Others | 87 (22.1) | 82 (23.8) | 5 (10.4) |
| Cause of death | |||
| Sepsis | – | – | 19 (39.6) |
| Inhalation injury | – | – | 16 (33.3) |
| Multi-organ failure | – | – | 9 (18.8) |
| ARDS | – | – | 3 (6.3) |
| Others | – | – | 1 (2.1) |
ARDS acute respiratory disdress syndrome
Logistic regression for predictors associated with mortality in severe burns in a Malaysian burns intensive care unit
| Variable | Odds ratio | 95% CI | ||
|---|---|---|---|---|
| Lower | Upper | |||
| Age group (years) | ||||
| ≤ 18 | 1.00 (reference) | – | – | – |
| 19–49 | 2.08 | 0.08 | 0.48 | 0.331 |
| 50–64 | 3.20 | 0.64 | 16.13 | 0.159 |
| 65–74 | 5.82 | 0.93 | 36.28 | 0.059 |
| ≥ 75 | 2.00 | 0.16 | 24.92 | 0.590 |
| Gender | ||||
| Male | 1.08 | 0.54 | 2.16 | 0.839 |
| Female | 1.00 (reference) | – | – | – |
| Place of burn | ||||
| Household | 0.82 | 0.45 | 1.51 | 0.521 |
| Industrial | 0.93 | 0.49 | 1.76 | 0.813 |
| Road traffic accident | 1.16 | 0.39 | 3.50 | 0.787 |
| Non-accidental | 2.49 | 1.14 | 5.45 | 0.023 |
| Others | 0.37 | 0.14 | 0.97 | 0.044 |
| % TBSA | ||||
| 0 – 10% | 1.00 (reference) | – | – | – |
| 10 – 20% | 1.16 | 0.25 | 5.29 | 0.849 |
| 20 – 30% | 4.24 | 1.09 | 16.44 | 0.037 |
| 30 – 40% | 11.47 | 2.81 | 46.84 | 0.001 |
| ≥ 40% | 48.36 | 15.72 | 148.76 | < 0.001 |
| Degree of burn | ||||
| Partial-thickness | 0.38 | 0.18 | 0.80 | 0.010 |
| Full-thickness | 3.12 | 1.54 | 6.32 | 0.002 |
| Inhalation injury | 15.66 | 7.56 | 32.42 | < 0.001 |
| SIRS at presentation | 6.21 | 2.99 | 12.88 | < 0.001 |
| LOS (days) | ||||
| 0 – 10 | 1.00 (reference) | – | – | – |
| 10 – 20 | 1.56 | 0.74 | 3.28 | 0.240 |
| 20 – 30 | 1.12 | 0.40 | 3.16 | 0.826 |
| 30 – 40 | 1.20 | 0.33 | 4.33 | 0.787 |
| ≥ 40 | 1.95 | 0.72 | 5.26 | 0.189 |
CI confidence interval, % TBSA percentage of total body surface area, SIRS systemic inflammatory response syndrome, LOS length of stay
Fig. 1Kaplen-Meier survival curve of significant predictors of burn mortality. a Total body surface area (TBSA)>20%. b Inhalational injury. c Mechanical ventilation. d Early systemic inflammatory response syndrome (SIRS)