| Literature DB >> 35997419 |
Christos Tsitsipanis1, Marianna Miliaraki2, Konstantinos Ntotsikas1, Dimitrios Baldounis3, Emmanouil Kokkinakis4, George Briassoulis2, Maria Venihaki5, Antonios Vakis1, Stavroula Ilia2.
Abstract
BACKGROUND: Intracranial hypertension (IC-HTN) is significantly associated with higher risk for an unfavorable outcome in pediatric trauma. Intracranial pressure (ICP) monitoring is widely becoming a standard of neurocritical care for children.Entities:
Keywords: ICP monitoring; brain injury; intracranial pressure; pediatric; trauma
Year: 2022 PMID: 35997419 PMCID: PMC9397046 DOI: 10.3390/pediatric14030042
Source DB: PubMed Journal: Pediatr Rep ISSN: 2036-749X
Figure 1Frequencies of outcomes by Glasgow Outcome Scale (GOS) among different age groups.
Descriptive statistics and univariate comparisons.
| Variable | ICP Monitoring (n = 78) | No ICP Monitoring (n = 40) | |
|---|---|---|---|
|
| NS | ||
| Males | 55 (70.5) | 31 (77.5) | |
| Females | 23 (29.5) | 9 (22.5) | |
|
| 10.1 (5.5) | 8.2 (5) |
|
|
| |||
| GCS score, median (IQR) | 8 (3–8) | 9.5 (8–15) |
|
| ISS score, median (IQR) | 14 (10–20) | 7.5 (5–14) |
|
| PRISM score, median (IQR) | 11 (2–21) | 2 (0–11) |
|
| PELOD score, median (IQR) | 11 (6–12) | 2 (0–11) |
|
|
| |||
| Marshall CT, n (%) | NS | ||
| I + II | 43 (55) | 28 (70) | |
| III + IV | 13 (17) | 1 (2.5) | |
| V + VI | 22 (28) | 11 (27.5) | |
| Rotterdam CT, n (%) |
| ||
| 1 | 35 (45) | 25 (62.5) | |
| 2 | 26 (33) | 13 (32.5) | |
| 3 | 13 (17) | 2 (5) | |
| 4 | 4 (5) | 0 (0) | |
| Helsinki CT score (median, IQR) | 2 (0–5) | 0 (0–2) |
|
|
| |||
| PICU LOS, median (IQR) | 10 (5–18) | 5 (2–11) |
|
| MV days, median (IQR) | 7 (4–12) | 2 (0–4) |
|
|
|
| ||
| Good Outcome/Moderate disability | 60 (77) | 37 (92.5) | |
| Severe disability/Vegetative State | 7 (9) | 2 (5) | |
| Death | 11 (14) | 1 (2.5) |
Statistical significance was defined according to the 95% confidence level. IQR = interquartile range, NS = non-significant.
Descriptive statistics by outcome group.
| Variable | ICH | No ICH | Survivors | Non-Survivors | ||
|---|---|---|---|---|---|---|
|
| NS | NS | ||||
| Males | 29 (67.5) | 57 (76) | 77 (72.6) | 9 (75) | ||
| Females | 14 (32.5) | 18 (24) | 29 (27.4) | 3 (25) | ||
|
| 10 (5.8) | 9 (5.2) | NS | 9 (5.5) | 7.5 (4) | NS |
|
| ||||||
| GCS score, median (IQR) | 7 (3–8) | 9.5 (8–13) | 0.001 | 8 (8–12) | 3 (3–8) |
|
| ISS score, median (IQR) | 16 (14–30) | 10 (5–14) | 0.001 | 10 (5–14) | 40 (20–75) |
|
| PRISM score, median (IQR) | 12.5 (2.0–22) | 2 (1–11) | 0.001 | 2 (2–11) | 25 (12–35) |
|
| PELOD score, median (IQR) | 11.5 (8–16) | 6 (2–11) | 0.001 | 6 (2–11) | 21 (12–32) |
|
|
| ||||||
| Marshall CT, n (%) | NS | NS | ||||
| I + II | 21 (49) | 50 (66.7) | 67 (63) | 4 (33) | ||
| III + IV | 8 (18.5) | 6 (8) | 8 (8) | 6 (50) | ||
| V + VI | 14 (32.5) | 19 (25.3) | 31 (29) | 2 (17) | ||
| Rotterdam CT, n (%) | 0.001 |
| ||||
| 1 | 13 (30.3) | 47 (62.7) | 56 (52.8) | 4 (33) | ||
| 2 | 17 (39.5) | 22 (29.3) | 37 (35) | 2 (17) | ||
| 3 | 11 (25.6) | 4 (5.3) | 10 (9.4) | 5 (42) | ||
| 4 | 2 (4.6) | 2 (2.7) | 3 (2.8) | 1 (8) | ||
| Helsinki CT score (median, IQR) | 2 (0–5) | 0 (0–2) | 0.001 | 0 (0–2) | 5 (0–5) |
|
|
| ||||||
| PICU LOS, median (IQR) | 10 (4–20) | 5 (4–13) | 0.015 | 8 (4–15) | 4 (2–15) | NS |
| MV days, median (IQR) | 7 (4–16) | 3 (3–8) | 0.005 | 4 (1–8) | 5 (2–14) | NS |
|
| 0.005 |
| ||||
| Good Outcome/ | 27 (63) | 70 (93.3) | 97 (91.5) | 0 (0) | ||
| Severe disability/ | 6 (14) | 3 (4) | 9 (8.5) | 0 (0) | ||
| Death | 10 (23) | 2 (2.7) | 0 (0) | 12 (100) |
Statistical significance was defined according to the 95% confidence level. IQR = interquartile range, NS = non-significant.
Figure 2Higher risk of intracranial hypertension (IC-HTN) for severe traumatic brain injury (TBI) cases based on Glasgow Coma Scale (GCS).
Multivariate linear regression of potential predictors related to IC-HTN and unfavorable outcome for sTBI pediatric patients.
| Intracranial Hypertension | Unfavorable Outcome | |||||
|---|---|---|---|---|---|---|
| Odds Ratio | 95% CI | Odds Ratio | 95% CI | |||
|
| 0.678 | 0.981 | 0.89–1.07 | 0.587 | 1.051 | 0.88–1.25 |
|
| 0.447 | 0.677 | 0.25–1.85 | 0.189 | 4.166 | 0.5–35 |
|
| 0.359 | 1.155 | 0.85–1.57 | 0.677 | 0.878 | 0.48–1.6 |
|
| 0.039 | 0.958 | 0.89–0.98 |
| 0.842 | 0.76–0.94 |
|
| 0.650 | 0.984 | 0.91–1.05 | 0.120 | 1.122 | 0.97–1.3 |
|
| 0.806 | 0.994 | 0.95–1.04 |
| 0.736 | 0.58–0.93 |
|
| 0.491 | 0.896 | 0.65–1.22 | 0.301 | 0.735 | 0.41–1.3 |
|
| 0.563 | 1.38 | 0.46–4.15 | 0.121 | 5.761 | 0.63–52.8 |
|
| 0.048 | 0.711 | 0.5–0.91 | 0.141 | 0.645 | 0.36–1.16 |
|
| - | - | - | 0.297 | 2.597 | 0.43–15.6 |
Multivariate linear regression describing possible associations with mortality. Statistical significance was defined according to the 95% confidence level.
Figure 3Kaplan–Meier (KM) curve showing recovery probability for severely injured patients with intracranial hypertension. Censored events shown by vertical hash marks, corresponding to alive hospital discharges, and in-hospital deaths recorded as events. Although not a significant predictor of in-hospital mortality in multivariate regression analysis, KM product-limit estimator showed a significant difference for an unfavorable outcome for those who had intracranial hypertension (log rank chi-square = 11.16, p = 0.001).
Figure 4Prediction of mortality through Helsinki CT score.
Figure 5Receiver operator curve (ROC) analysis showing higher area under the curve for ISS and PELOD score. Among the CT scoring systems, the Helsinki CT score displayed the highest performance.