Lights, fluorescence, action-Influencing wound treatment plans including debridement of bacteria and biofilms.

High bacterial loads within chronic wounds increase the risk of infection and complication. Detection and localization of bacterial loads through point-of-care fluorescence (FL) imaging can objectively inform and support bacterial treatment decisions. This single time-point, retrospective analysis describes the treatment decisions made on 1000 chronic wounds (DFUs, VLUs, PIs, surgical wounds, burns, and others) at 211 wound-care facilities across 36 US states. Clinical assessment findings and treatment plans derived from them, as well as subsequent FL-imaging (MolecuLight®) findings and any associated treatment plan changes, were recorded for analysis. FL signals indicating elevated bacterial loads were observed in 701 wounds (70.8%), while only 293 (29.6%) showed signs/symptoms of infection. After FL-imaging, treatment plans changed in 528 wounds as follows: more extensive debridement (18.7%), more extensive hygiene (17.2%), FL-targeted debridement (17.2%), new topical therapies (10.1%), new systemic antibiotic prescriptions (9.0%), FL-guided sampling for microbiological analysis (6.2%), and changes in dressing selection (3.2%). These real-world findings of asymptomatic bacterial load/biofilm incidence, and of the frequent treatment plan changes post-imaging, are in accordance with clinical trial findings using this technology. These data, from a range of wound types, facilities, and clinician skill sets, suggest that point-of-care FL-imaging information improves bacterial infection management.

Standard computed tomography of the chest, abdomen, and pelvis is sensitive and cost-effective for the detection of fractures of the shoulder girdle.

Computed tomography of the chest, abdomen, and pelvis (CTCAP) has become the mainstay of diagnosis in stable blunt trauma patients. The purpose of this study was to investigate whether standard CTCAP has adequate sensitivity to identify fractures of the scapula, clavicle, and humeral head to replace routine radiographs of the shoulder. A retrospective chart review was carried out from January 1, 2004, to December 31, 2007, at Morristown Memorial Hospital. Inclusion criteria were all shoulder fracture patients in our trauma registry who underwent both a CTCAP and plain radiographs of the injured shoulder. Data were collected for patient age, sex, Injury Severity Score, mechanism of injury, and fracture location. Sensitivity was calculated for each diagnostic modality as well as hospital costs and radiation dose of plain radiographs. A total of 374 charts were reviewed and 98 patients were included in the study with a total of 117 fractures. The sensitivity of trauma CTCAP for scapula fractures was 100 per cent, clavicle fractures 98 per cent, and humeral head fractures 100 per cent. The sensitivity of the shoulder series for scapula fractures was 60 per cent, clavicle fractures 85 per cent, and humeral head fractures 100 per cent. The plain radiographs added $298 in hospital charges and 0.191 mSv of radiation per patient. CTCAP is a sensitive tool for identifying fractures in the shoulder girdle. Therefore, CTCAP can replace the routine radiographs of the shoulder resulting in less total radiation exposure of the trauma patients. This also would lead to lower healthcare cost and better diagnostic workflow.

Does patient age and height of fall alone require trauma team activation?

Our American College of Surgeons Level I trauma center uses physiological data and injury patterns to identify fall patients at risk. We hypothesized that height of fall and patient age impacted injury severity and analyzed if they were significant predictors of the need for trauma team activation. Charts were reviewed from July 1, 2004, to June 30, 2007, for age; sex; Injury Severity Score (ISS); height of fall and admission to the intensive care unit, operating room, stepdown unit, floor; or death. Exclusion criteria were physiological, neurologic, or airway compromise and penetrating neck or torso injuries. ISS was used as a positive control. A total of 1865 fall patients were treated during the period of data collection, and 1348 patients were eliminated by exclusion criteria, leaving 517 patients for study. Although patient age did not correlate with the need for trauma team activation, there was a statistically significant association between age and admission to the hospital from the emergency room (P < 0.05; area under curve [AUC] = 0.713; 95% confidence interval [CI], 0.656 to 0.770). Similarly, although the height of fall alone did not have a significant predictive value for the need of trauma team activation, there was a clear association of the height of fall with hospital admission (AUC = 0.589; 95% CI, 0.519 to 0.658). Patient age and height of fall alone are not criteria for trauma team activation in the absence of physiological, neurologic, or airway compromise.