Computed tomography to diagnose blunt diaphragm injuries: not ready for prime time.

Diaphragm injuries after blunt trauma are uncommon but require early diagnosis to expedite repair. The advancing technology of computed tomography (CT) scanners has improved the detection of almost all traumatic injuries; however, the literature regarding the diagnostic accuracy of CT scan for blunt diaphragm injuries is lacking. The purpose of this study was to determine the CT scan findings in the setting of known blunt diaphragm injury. We performed a retrospective review of all blunt trauma patients with a known diaphragm injury confirmed at laparotomy who also had a preoperative CT scan of the torso. Every CT scan was retrospectively reviewed by a board-certified radiologist for evidence of diaphragm injury as well as associated abdominal and thoracic injuries. Forty-two patients sustaining blunt trauma had preoperative CT scans of the torso and a diaphragm injury confirmed at laparotomy. Only 57 per cent of CT scans showed evidence of diaphragmatic injury. The most common thoracic injury identified was a pulmonary contusion (79%). Although the advancement of imaging technology has markedly improved the diagnosis and management of blunt traumatic injuries, the detection of diaphragm injuries using CT continues to be low and reconstructions do not help in finding diaphragm injuries.

Pneumatosis Intestinalis Predictive Evaluation Study (PIPES): a multicenter epidemiologic study of the Eastern Association for the Surgery of Trauma.

BACKGROUND: Pneumatosis intestinalis (PI) is associated with numerous adult conditions, ranging from benign to life threatening. To date, series of PI outcomes consist of case reports and small retrospective series. METHODS: We conducted a retrospective multicenter study, involving eight centers, of PI from January 2001 to December 2010. Demographics, medical history, clinical presentation, and outcomes were collected. Primary outcome was the presence of pathologic PI defined as confirmed transmural ischemia at surgery or the withdrawal of clinical care and subsequent mortality. Forward logistic regression and a regression tree analysis was used to generate a clinical prediction rule for pathologic PI. RESULTS: During the 10-year study period, 500 patients with PI were identified. Of this number, 299 (60%) had benign disease, and 201 (40%) had pathologic PI. A wide variety of variables were statistically significant predictors of pathologic PI on univariate comparison. In the regression model, a lactate of 2.0 or greater was the strongest independent predictor of pathologic PI, with hypotension or vasopressor need, peritonitis, acute renal failure, active mechanical ventilation, and absent bowel sounds also demonstrating significance. Classification and regression tree analysis was used to create a clinical prediction rule. In this tree, the presence of a lactate value of 2.0 or greater and hypotension/vasopressor use had a predictive probability of 93.2%. CONCLUSION: Discerning the clinical significance of PI remains a challenge. We identified the independent predictors of pathologic PI in the largest population to date and developed of a basic predictive model for clinical use. Prospective validation is warranted. LEVEL OF EVIDENCE: Epidemiologic study, level III.