Drones' side effect: facial and ocular trauma caused by an aerial drone.

An adult man was struck in the face by his own aerial drone. The propellers hit the upper face region leading to forehead and eyelid lacerations, a partial scleral laceration, conjunctival laceration, hyphaema, traumatic iritis and forward displacement of one haptic of the intraocular lens from a previous cataract surgery. In the last decade, drone use has significantly increased and drone-related injuries have become an emerging cause of trauma.

mTICCS and its inter-rater reliability to predict the need for massive transfusion in severely injured patients.

Purpose: The modified Trauma-Induced Coagulopathy Clinical Score (mTICCS) presents a new scoring system for the early detection of the need for a massive transfusion (MT). This easily applicable score was validated in a large trauma cohort and proven comparable to more established complex scoring systems. However, the inter-rater reliability of the mTICCS has not yet been investigated.

Validation of the mTICCS Score as a Useful Tool for the Early Prediction of a Massive Transfusion in Patients with a Traumatic Hemorrhage.

The modified Trauma-Induced Coagulopathy Clinical Score (mTICCS) presents a new scoring system for the early detection of the need for a massive transfusion (MT). While validated in a large trauma cohort, the comparison of mTICCS to established scoring systems is missing. This study therefore validated the ability of six scoring systems to stratify patients at risk for an MT at an early stage after trauma.

Early identification of trauma patients in need for emergent transfusion: results of a single-center retrospective study evaluating three scoring systems.

Background: The Trauma-Induced Coagulopathy Clinical Score (TICCS) was developed to be calculable on the site of injury to discriminate between trauma patients with or without the need for damage control resuscitation and thus transfusion. This early alert could then be translated to in-hospital parameters at patient arrival. Base excess (BE) and ultrasound (FAST) are known to be predictive parameters for emergent transfusion.