Clinical and radiographic predictors for angiography in pelvic trauma: An analysis of 1703 patients.

INTRODUCTION: Patients who present with hemorrhage from pelvic fractures have an increased risk of mortality with prolonged time to intervention. Identifying risk factors associated with hemorrhage can expedite treatment. In this study we explore clinical and radiographic predictors for angiography in trauma patients with pelvic fractures. METHOD: Retrospective, single-center review between 2009 and 2019 at a level 1 trauma center of all trauma patients with pelvic fractures. We excluded patients who died prior to arrival or in the trauma bay who did not undergo computed tomography ("CT"). Finalized attending descriptions of CT findings were reviewed, including size of hematomas, and presence of extravasation. Chi-square, Mann-Whitney U and multi-variate regressions were performed. RESULTS: We analyzed 1,703 trauma patients with pelvic fractures. Most common mechanisms of injury included MVC (45 %), fall (27 %) and motorcycle accident (12 %). 48 % (819/1703) of patients had pelvic hematomas on CT scan. 17 %(138/819) of patients with a hematoma also had evidence of extravasation. Significant predictors for extravasation on CT included large hematoma on CT, AIS extremity ≥2, binder placement, increased ISS, HR, and decreased GCS and SBP (p < 0.005). Significant predictors for angiography were similar, including AIS extremity ≥2, binder placement, presence of moderate and large hematoma and active extravasation on CT (p < 0.01). Stepwise logistic regression model incorporated ISS, HR, AIS extremity score, binder placement, and contrast extravasation with an AUC = 0.9345. CONCLUSION: In this large retrospective review of traumatic pelvic fractures, specific clinical and radiographic factors were significantly associated with pelvic hematomas, extravasation and/or need for angiography. Future collaborative work with orthopedics and interventional radiology is planned to better triage pelvic fracture patients and identify those at risk for bleeding that require earlier intervention.

From mild to gangrenous cholecystitis, laparoscopic cholecystectomy is safe 24 hours a day.

OBJECTIVES: Laparoscopic cholecystectomy (LC) at night remains controversial. Prior studies have not controlled for disease severity. We analyzed outcomes of LC performed day vs. night while controlling for the Parkland Grading Scale for Cholecystitis (PGS). METHODS: Analysis of the AAST multicenter evaluation of cholecystitis database was performed. Exclusion criteria included non-operative cases, open operations, and missing PGS. Cases were divided based on operation start time. PGS was used to control for disease severity. Outcomes included operative time, use of bailout techniques and complications. RESULTS: Of 759 procedures identified, 16% were nighttime LC. No differences in demographics, comorbidities, physiologic variables and PGS were noted. Operative time (108.6 min vs 105.6), bailout techniques (8.3% vs 7.4%) and complications (9.9% vs 11.3%) were similar between groups. CONCLUSION: Regardless of severity, laparoscopic cholecystectomy is safe 24-h a day. Operations performed at night have a similar complication profile to those performed during the day.

External validation of a smartphone app model to predict the need for massive transfusion using five different definitions.

BACKGROUND: Previously, a model to predict massive transfusion protocol (MTP) (activation) was derived using a single-institution data set. The PRospective, Observational, Multicenter, Major Trauma Transfusion database was used to externally validate this model's ability to predict both MTP activation and massive transfusion (MT) administration using multiple MT definitions. METHODS: The app model was used to calculate the predicted probability of MTP activation or MT delivery. The five definitions of MT used were: (1) 10 units packed red blood cells (PRBCs) in 24 hours, (2) Resuscitation Intensity score ≥ 4, (3) critical administration threshold, (4) 4 units PRBCs in 4 hours; and (5) 6 units PRBCs in 6 hours. Receiver operating curves were plotted to compare the predicted probability of MT with observed outcomes. RESULTS: Of 1,245 patients in the data set, 297 (24%) met definition 1, 570 (47%) met definition 2, 364 (33%) met definition 3, 599 met definition 4 (49.1%), and 395 met definition 5 (32.4%). Regardless of the outcome (MTP activation or MT administration), the predictive ability of the app model was consistent: when predicting activation of the MTP, the area under the curve for the model was 0.694 and when predicting MT administration, the area under the curve ranged from 0.695 to 0.711. CONCLUSION: Regardless of the definition of MT used, the app model demonstrates moderate ability to predict the need for MT in an external, homogenous population. Importantly, the app allows the model to be iteratively recalibrated ("machine learning") and thus could improve its predictive capability as additional data are accrued. LEVEL OF EVIDENCE: Diagnostic test study/Prognostic study, level III.

Adult posttraumatic osteomyelitis of the tibia.

Posttraumatic tibial osteomyelitis results from trauma or nosocomial infection from the treatment of trauma that allows organisms to enter bone, proliferate in traumatized tissue, and cause subsequent bone infection. The resulting infection is usually polymicrobial. The patient may be classified using the May and the Cierny-Mader classification systems. The diagnosis is based on the isolation of the pathogen(s) from the bone, or blood cultures. Appropriate therapy of posttraumatic tibial osteomyelitis includes adequate drainage, thorough debridement, obliteration of dead space, stabilization when necessary, wound protection, and specific antimicrobial therapy.