2015
DOI: 10.1016/j.athoracsur.2015.03.090
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Risk Score for Predicting Mortality in Flail Chest

Abstract: We have developed a simple model that can be easily applied at bedside to predict mortality in patients with flail chest by accessing a spreadsheet program in an application or other handheld computer device. This model has the potential to be a useful tool for surgeons considering operative repair of flail chest.

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Cited by 9 publications
(6 citation statements)
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References 27 publications
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“…These data were consistent with a trend toward increasing mortality identified in older patients in an analysis by Freedland and colleagues [5]. In a risk score designed to predict mortality after flail chest injury, age was one of five elements included in the model [9]. These data support a wider body of literature that older patients are at increased mortality risk after trauma and should therefore be targeted with a lower threshold for close monitoring and early, aggressive management [10][11][12][13][14].…”
Section: Discussionsupporting
confidence: 78%
“…These data were consistent with a trend toward increasing mortality identified in older patients in an analysis by Freedland and colleagues [5]. In a risk score designed to predict mortality after flail chest injury, age was one of five elements included in the model [9]. These data support a wider body of literature that older patients are at increased mortality risk after trauma and should therefore be targeted with a lower threshold for close monitoring and early, aggressive management [10][11][12][13][14].…”
Section: Discussionsupporting
confidence: 78%
“…Therefore, the final model comprised these 6 variables only (including 2 clinical features, and 4 angiographic characteristics). Although not all 6 variables were significantly predictive when applied individually, the ORs for each were higher than 1.2, and the final model performed better when all were included than when they were not [14,15]. We assigned points by propensity to the adjusted ORs using the Charlson method.…”
Section: Resultsmentioning
confidence: 99%
“…Scoring points were assigned with reference to the method of Charlson et al [14]. Scoring in our CTO model is determined as follows: if the OR is ≥1.2 but <1.5, 1 point is assigned; if the OR is ≥1.5 but <2.5, 2 points are assigned; if the OR is ≥2.5 but <3.5, 3 points are assigned [15]. In addition, the discriminatory performance of the model was tested by ROC curve analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Other complications due to FC are pneumonia, ARDS, pneumothorax, hemothorax, pulmonary contusion, chronic pain and chest wall deformity and atelectasis (1,4,22). Zehr et al (23) proposed a risk score for predicting mortality in FC; they found that the initial assessment of patients with FC could be done by using five risk factors: age, Glasgow Coma Score, ventilation, cardiopulmonary resuscitation and number of comorbidities. They proved that less than 6 points is consistent with 1% observed mortality, 6 to 10 points predicts 5% mortality, 11 to 15 points predicts 22% mortality, and 16 or more points predicts 46% mortality; only patients at low to medium risk of mortality should be candidates for operative repair.…”
Section: Why: Pathophysiology and Outcomes Of Surgerymentioning
confidence: 99%