04.18 Hm-Chitosan Gauze: A New And Effective Topical Hemostat

A. Chaturvedi2, M. B. Dowling4, J. P. Gustin3, T. M. Scalea2, S. R. Raghavan3, M. Narayan2 2University Of Maryland,R Adams Cowley Shock Trauma Center,Baltimore, MD, USA 3University Of Maryland,Department Of Chemical & Biomolecular Engineering,College Park, MD, USA 4University Of Maryland,Fischell Department Of Bioengineering,College Park, MD, USA

Introduction:
Currently, the standard of care for treating severe hemorrhage in a military setting is Combat GauzeTM(CG). Previous work has shown that hydrophobically modified (hm) chitosan has great hemostatic potential. This work aims to create a hm-chitosan coated gauze to directly compare to CG as well as ChitoGauze® (ChG) in a lethal in vivo hemorrhage model.

Methods:
Twelve Yorkshire swine were randomized to receive either hm-chitosan gauze (n = 4), ChG (n = 4), or CG (n = 4). A standard hemorrhage model was used in which animals underwent a splenectomy prior to a 6 mm punch arterial puncture of the femoral artery. Thirty seconds of free bleeding was allowed before dressings were applied and compressed for 3 minutes. Baseline mean arterial pressure was preserved via fluid resuscitation. Experiments were conducted for three hours after which any surviving animal was euthanized.

Results:
Hm-chitosan gauze was found to be at least equivalent to both CG and ChG in terms of overall survival(100% v 75%), number of dressing used(6 v 7), and duration of hemostasis (3 hrs v 2.25 hrs). Total post-treatment blood loss was significantly lower in the hm-chitosan gauze treatment group (4.7 mL/kg) when compared to CG(13.4 mL/kg) and ChG(12.1 mL/kg) groups (p =< 0.0001)

Conclusion:
Hm-chitosan gauze appears to have outperformed both CG and ChG in a lethal hemorrhage model. However given the small treatment group size, the only measured outcome that was significantly different was total post-treatment blood loss. Future comparison of hm-chitosan gauze to CG and ChG will be performed on a hypothermic and coagulapathic model that should allow for outcome significance to be differentiated under small treatment groups.