| Literature DB >> 32819398 |
Ludovic Maudet1,2,3, Mathieu Pasquier4,5, Olivier Pantet4,6, Roland Albrecht7, Pierre-Nicolas Carron4,5.
Abstract
BACKGROUND: Emergency medical services regularly encounter severe burns. As standards of care are relatively well-established regarding their hospital management, prehospital care is comparatively poorly defined. The aim of this study was to describe burned patients taken care of by our physician-staffed emergency medical service (PEMS).Entities:
Keywords: Burn injury; Burn size; Emergency medical services; Fluid therapy; Pain management; Prehospital
Mesh:
Year: 2020 PMID: 32819398 PMCID: PMC7439538 DOI: 10.1186/s13049-020-00771-4
Source DB: PubMed Journal: Scand J Trauma Resusc Emerg Med ISSN: 1757-7241 Impact factor: 2.953
Fig. 1Flow chart of the case load selection (1 January 2008 to 31 December 2017). The separation into two subgroups is based on the prehospital TBSA estimation, except in the case of a missing value (5), where the hospital TBSA estimation is considered
Study population and missions characteristics. Data are expressed as numbers and frequencies for categorical variables and medians and interquartile ranges (25th to 75th percentile). [] = missing values
| Study group | TBSA < 20% | TBSA ≥20% | ||
|---|---|---|---|---|
| Age (years) [0] | 26 (12–51) | 23 (3–50) | 39 (20–58) | 0.031* |
| Gender male, n (%) [0] | 63 (73) | 43 (78) | 20 (65) | 0.169 |
| Weight (kg), median [11] | 65 (20–81) | 62 (14–88) | 67 (60–75) | 0.253 |
| Injury context, n (%) [0]: | ||||
| - Domestic | 50 (58) | 33 (60) | 17 (55) | 0.641 |
| - Work | 18 (21) | 11 (20) | 7 (23) | 0.778 |
| - Leisure | 6 (7) | 5 (9.1) | 1 (3) | 0.305 |
| - Others | 11 (13) | 5 (9.1) | 6 (19) | 0.171 |
| Facial burn, n (%) [0] | 52 (60) | 29 (53) | 23 (74) | 0.051 |
| Inhalation injury, n (%) [0] | 35 (41) | 15 (27) | 20 (65) | 0.001* |
| Carbon monoxide intoxication, n (%) [0] | 4 (4.7) | 0 | 4 (13) | 0.006* |
| Type of PEMS, n (%) [0]: | ||||
| - Ground | 35 (41) | 23 (42) | 12 (39) | 0.381 |
| - Helicopter | 47 (55) | 32 (58) | 15 (48) | 0.778 |
| - Both | 4 (4.7) | 0 | 4 (13) | 0.006* |
| Time intervals (minutes), median [0]: | ||||
| - Response | 15 (9–21) | 15 (10–21) | 13 (9–20) | 0.342 |
| - On-scene | 19 (13–30) | 16 (11–22) | 28 (17–42) | < 0.001* |
| - Transport | 11 (7–17) | 11 (6–18) | 10 (7–16) | 0.790 |
| - Prehospital treatment | 33 (22–45) | 29 (19–39) | 45 (24–56) | 0.003* |
| NACA score, median [0] | 4 (3–5) | 4 (3–4) | 5 (4–5) | < 0.001* |
Vitals signs and non-specific interventions. Data are expressed as numbers and frequencies for categorical variables and medians and interquartile ranges (25th to 75th percentile). [] = missing values
| Study group | TBSA < 20% | TBSA ≥20% | ||
|---|---|---|---|---|
| Vital parameters on scene: | ||||
| - Respiratory rate (min− 1) [4] | 20 (16–25) | 18 (16–22) | 25 (20–30) | < 0.001* |
| - SpO2 (%) [8] | 98 (95–100) | 98 (96–100) | 97 (92–99) | 0.01* |
| - Pulse rate (min− 1) [7] | 100 (85–116) | 90 (80–105) | 106 (100–120) | < 0.001* |
| - Systolic blood pressure (mmHg), [13] | 140 (90–150) | 140 (90–150) | 140 (90–150) | 0.735 |
| - Capillary refill time ≥ 2 s, n (%) [0] | 6 (7) | 4 (7.3) | 2 (6.5) | 0.886 |
| - GCS [0] | 15 (15–15) | 15 (15–15) | 15 (15–15) | 0.065 |
| Vital parameters at ED arrival: | ||||
| - Respiratory rate (min− 1) [29] | 16 (12–20) | 16 (13–20) | 13 (12–21) | 0.106 |
| - SpO2 (%) [22] | 99 (96–100) | 99 (96–100) | 99 (96–100) | 0.949 |
| - Pulse rate(min− 1) [18] | 100 (80–110) | 92 (78–105) | 103 (90–111) | 0.061 |
| - Systolic blood pressure (mmHg) [24] | 89 (66–98) | 84 (66–96) | 90 (62–100) | 0.821 |
| - GCS [18] | 15 (3–15) | 15 (15–15) | 3 (3–15) | < 0.001* |
| Oxygen therapy, n (%) [8] | 51 (65) | 25 (51) | 26 (90) | 0.001* |
| Tracheal intubation, n (%) [0] | 21 (24) | 6 (11) | 15 (48) | < 0.001* |
| Vascular or intraosseous access, n (%) [1] | 64 (75) | 38 (69) | 26 (87) | 0.073 |
Fig. 2Bland-Altman analysis of the differences between the hospital and prehospital TBSA estimations in the small (Fig. 2a) and large (Fig. 2b) burns groups. For each comparison, the mean value between the two estimations is plotted against their difference. The mean difference between the hospital and prehospital TBSA estimations were − 0.462 for the small and 0.429 for the large burns groups. The lower and upper limits of agreement were − 5 and 4% in the small burns group and − 10 and 11% in the large burns group
Burn-specific assessment and intervention. Data are expressed as numbers and frequencies for categorical variables and medians and interquartile ranges (25th to 75th percentile). [] = missing values
| Study group | TBSA < 20% | TBSA ≥20% | ||
|---|---|---|---|---|
| Prehospital (initial) TBSA estimation (in %) [5] | 10 (6–25) | 9 (5–10) | 40 (25–50) | < 0.001* |
| Hospital (final) TBSA measurement (in %) [1] | 10 (6–27) | 8.5 (4–10) | 43 (25–55) | < 0.001* |
| Absolute variation of TBSA [5] | 0 (0–3) | 0 (0–2) | 0 (0–4) | 0.2093 |
| Crystalloid infusion (ml/kg/TBSA) [33] | 0.8 (0.3–1.4) | 1.3 (0.8–1.8) | 0.3 (0.1–0.4) | < 0.001* |
| Crystalloid infusion reported to 8 h (ml/kg/TBSA) [34] | 10.5 (3.4–17.4) | 15.5 (12–25) | 2.7 (1.4–4) | < 0.001* |
| Initial pain score (VNRS) [27] | 6 (3–8) | 5.5 (3–7) | 8 (4–10) | 0.039* |
| Pain score at ED arrival (VNRS) [51] | 3 (2–5) | 3 (2–5) | 4 (3–7) | 0.154 |
| Analgesia provision, n (%) [0] | 61 (71) | 37 (67) | 24 (77) | 0.32 |
| Intranasal medication, n (%) [0] | 9 (10) | 8 (15) | 1 (3.2) | 0.1 |
| Fentanyl administration, n (%) [0] | 59 (69) | 37 (67) | 22 (71) | 0.723 |
| Fentanyl dose (mcg/kg) [0] | 1.7 (1–2.6) | 1.4 (1–1.9) | 2.7 (1.7–4.7) | 0.002* |
| Ketamine administration, n (%) [0] | 7 (8.1) | 1 (1.8) | 6 (19) | 0.004* |
| Ketamine dose (mg/kg) [0] | 2.1 (0.3–3.2) | 2.1 | 2.4 (0.3–3.2) | 1 |
Outcomes. Data are expressed as numbers and frequencies for categorical variables and medians and interquartile ranges (25th to 75th percentile). [] = missing values
| Study group | TBSA < 20% | TBSA ≥20% | ||
|---|---|---|---|---|
| ISS [21] | 4 (1–21) | 1 (1–4) | 25 (11–25) | < 0.001* |
| Death, n (%) [0] | 8 (9.3) | 1 (1.8) | 7 (23) | 0.001* |
| ICU stay, n (%) [1] | 53 (62) | 24 (44) | 29 (94) | < 0.001 |
| ICU length of stay (days) [1] | 7 (2–27) | 4 (2–6) | 22 (7–50) | < 0.001* |
| Total hospital length of stay (days) [1] | 14 (1–28) | 5.5 (1–18) | 30 (8–88) | < 0.001* |