The Ideal Donor Site Dressing: A Comparison of a Chitosan-Based Gelling Dressing to Traditional Dressings.

Donor site wound management is critical in split-thickness skin graft surgeries. These sites typically recover in 7 to 14 days due to the dermal-imbedded keratinocytes that promote skin regeneration. An ideal donor site dressing can help to mitigate pain, reduce infection risk, promote hemostasis, and accelerate healing times. Additionally, this dressing would be easy to apply in the operating room, easily managed, and cost-effective. Chitosan-based gelling dressings (CBGD) possess many of these qualities that make an ideal donor site dressing. We conducted a retrospective chart review of patients who received CBGD as part of their postoperative wound care plan. We collected data on infections, hemostasis, dressing failure, and hospital course over a 14-month period where CBGD was used as the donor site dressing. One hundred and fourteen patients were evaluated. We found an infection rate of 7%, a bleed-through rate of 1.8%, and a re-application rate of 9.6%. The average CBGD cost per patient was $75.15. CBGD has acceptable infection rates, and pain scores as traditional donor site dressings. However, it possesses several qualities of a suitable donor site dressing notably swift healing rates, impressive hemostatic property, and low cost. Our study supports the idea that CBGD is a suitable donor site dressing for split-thickness skin graft surgeries.

Predictive Modeling for West Nile Virus and Mosquito Surveillance in Lubbock, Texas.

West Nile virus (WNV) was first detected in North America during 1999, and has since spread throughout the contiguous USA. West Nile virus causes West Nile fever and the more severe West Nile neuroinvasive disease. As part of a WNV vector surveillance program, we collected mosquitoes in Lubbock, Texas, using CO2-baited encephalitic vector survey (EVS) traps. During 219 wk from 2009 through 2017, EVS traps were operated for 1,748 trap nights, resulting in more than 101,000 mosquitoes captured. Weekly, selected female mosquito specimens were pooled by species and trap site, and screened for WNV using reverse transcription-polymerase chain reaction assay. Mosquitoes positive for WNV were detected during 16.9% (37/219) of the weeks. Using this information, we constructed a statistical model to predict the probability of detecting an infection within a mosquito pool as a factor of weather variables. The final model indicated that detection of WNV in mosquitoes was negatively associated with the week of year squared and average wind from 3 wk prior to sampling, and was positively associated with week of year, average visibility, average humidity from 2 wk prior to sampling, and average dew point from 4 wk prior to sampling. The model developed in this study may aid public health and vector control programs in swift and effective decision making relative to city-wide mosquito control efforts by predicting when the chances of mosquitoes having WNV are at their greatest.