| Literature DB >> 23514619 |
Andrea Fabbri, Franco Servadei, Giulio Marchesini, Carolina Bronzoni, Danilo Montesi, Luca Arietta.
Abstract
INTRODUCTION: Pre-injury antithrombotic therapy might influence the outcome of subjects with head injuries and positive computed tomography (CT) scans. We aimed to determine the potential risk of pre-injury antiplatelet drug use on short- and long-term outcome of head injured subjects admitted to emergency departments (EDs) in Italy for extended observation.Entities:
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Year: 2013 PMID: 23514619 PMCID: PMC3733424 DOI: 10.1186/cc12575
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Clinical characteristics of subjects according to worsening characteristics between initial and follow-up CT scan
| Worsening | Stable/Improved | OR (95% CI) | ||
|---|---|---|---|---|
| Sex (males) | 125 (62.2%) | 786 (57.9%) | 1.19 (0.88 to1.62) | 0.283 |
| Age (mean: SD) | 65 (22) | 65 (21) | -- | -- |
| Mechanism of Injury | ||||
| Road accident | 60 (29.9%) | 414 (30.5%) | 0.97 (0.70 to 1.34) | 0.870 |
| Other causes | 86 (42.8%) | 622 (45.8%) | Reference | -- |
| Glasgow Coma Scale | ||||
| Moderate-Severe (≤ 13) | 127 (63.2%) | 308 (22.7%) | 5.84 (4.27 to 8.00) | < 0.001 |
| Mild (15 to 14) | 74 (36.8%) | 1.049 (77.3%) | Reference | -- |
| Basal skull fracture | 28 (13.9%) | 117 (8.6%) | 1.71 (1.10 to 2.67) | 0.019 |
| Type of lesion | ||||
| Subdural hematoma | 106 (52.7%) | 498 (36.7%) | 1.92 (1.43 to 2.59) | < 0.001 |
| Epidural hematoma | 28 (13.9%) | 129 (9.5%) | 1.54 (0.99 to 2.39) | 0.059 |
| Intracerebral hemorrhage/contusion | 116 (57.7%) | 650 (47.9%) | 1.48 (1.10 to 2.0) | 0.010 |
| Traumatic subarachnoid hemorrhage | 105 (52.2%) | 671 (49.4%) | 1.12 (0.83 to 1.50) | 0.497 |
| Intraventricular hemorrhage | 10 (4.9%) | 84 (6.2%) | 0.79 (0.40 to 1.55) | 0.634 |
| Depressed skull fracture | 25 (12.4%) | 116 (8.5%) | 1.52 (0.96 to 2.41) | 0.086 |
| Anticoagulant therapy | 18 (9.0%) | 108 (8.0%) | 1.14 (0.68 to 1.92) | 0.582 |
| Antiplatelet therapy | 106 (52.7%) | 431 (31.8%) | 2.40 (1.78 to 3.23) | < 0.001 |
Data are reported as number of cases and %, or median and standard deviation; SD.
Figure 1Distribution of worsening events in relation to antiplatelet therapy in subjects with intracranial lesions following head injury. Significant outcomes in the decision tree analysis are reported as white text on a grey background.
Logistic model of variables considered in predicting subjects with worsening lesions after head injury
| Covariates | Odds Ratio | 95% CI | |
|---|---|---|---|
| Sex (males) | 1.24 | 0.88 to 1.75 | 0.211 |
| Age (decades) | 0.91 | 0.83 to 1.01 | 0.065 |
| Road accidents | 1.03 | 0.70 to 1.52 | 0.874 |
| Glasgow Coma Scale | 4.59 | 3.23 to 6.51 | < 0.001 |
| Basal skull fracture | 1.20 | 0.72 to 1.99 | 0.480 |
| Marshall category | 1.43 | 1.09 to- 1.89 | 0.011 |
| Type of lesion | |||
| Subdural hematoma | 1.32 | 0.86 to 2.01 | 0.205 |
| Epidural hematoma | 1.13 | 0.65 to 1.98 | 0.656 |
| Intracerebral hemorrhage/contusion | 0.96 | 0.62 to 1.50 | 0.875 |
| Traumatic subarachnoid hemorrhage | 0.80 | 0.51 to 1.24 | 0.322 |
| Intraventricular hemorrhage | 0.37 | 0.17 to0.775 | 0.008 |
| Depressed skull fracture | 1.03 | 0.60 to 1.78 | 0.903 |
| Number of lesions (≥ 2) | 2.56 | 1.46 to 4.51 | 0.001 |
| Anticoagulant therapy | 1.17 | 0.65 to 2.10 | 0.606 |
| Antiplatelet therapy | 2.87 | 1.94 to 4.23 | < 0.001 |
Marshall category (category 2-3-4) and age (decades) were considered as continuous variables, Glasgow Coma scale for categories (mild and moderate-severe; the lower score the higher risk). The remaining variables were dichotomized.
Figure 2Data mining analysis: relevant patterns of variables predicting cases with worsening lesions in relation to severity of head injury (mild versus moderate-severe head injury), number of intracranial lesions and antiplatelet therapy. Significant variables are reported as white text on a grey background.
Figure 3Unfavorable outcomes in subjects with head injury and intracranial lesions in relation to antiplatelet therapy. Significant outcomes are reported as white text on a grey background.
Logistic model of variables considered in predicting unfavorable outcome in subjects with head injury
| Covariates | Odds Ratio | 95% CI | |
|---|---|---|---|
| Sex (males) | 1.30 | 0.75 to 2.26 | 0.348 |
| Age (decades) | 1.33 | 1.11 to 1.59 | 0.002 |
| Road accidents | 0.85 | 0.42 to 1.70 | 0.641 |
| Glasgow Coma Scale | 12.94 | 6.26 to 26.78 | < 0.001 |
| Basal skull fracture | 0.87 | 0.35 to 2.12 | 0.754 |
| Marshall category | 3.03 | 2.09 to 4.39 | < 0.001 |
| Type of lesion | |||
| Subdural hematoma | 0.57 | 2.78 to 1.16 | 0.119 |
| Epidural hematoma | 0.78 | 0.31 to 2.00 | 0.607 |
| Intracerebral hemorrhage/contusion | 0.46 | 0.22 to 0.94 | 0.034 |
| Traumatic subarachnoid hemorrhage | 0.76 | 0.36 to 1.62 | 0.481 |
| Intraventricular hemorrhage | 2.07 | 0.86 to 4.96 | 0.104 |
| Depressed skull fracture | 0.75 | 0.25 to 2.24 | 0.608 |
| Number of lesions (≥ 2) | 1.99 | 0.77 to 5.10 | 0.153 |
| Anticoagulant therapy | 1.01 | 0.44 to 2.32 | 0.971 |
| Antiplatelet therapy | 1.02 | 0.57 to 1.84 | 0.938 |
Marshall category (category 2-3-4) and age (decades) were considered as continuous variables, Glasgow Coma scale for categories (mild and moderate-severe; the lower score the higher risk). The remaining variables were dichotomized.