Hemostatic effects of traditional Inula viscosa and Capsella bursa-pastoris plant mixture extract on rat liver parenchymal bleeding model

BACKGROUND: Failure to achieve effective bleeding control and problems related to transfusion in liver surgery are the most common causes of post-operative mortality and morbidity. Various methods/drugs including topical hemostatic agents have been employed for bleeding control in liver surgery. This study was aimed to investigate the hemostatic properties of the herb mixture extract of Inula viscosa and Capsella bursa-pastoris (IvCbp) in rat liver laceration model, which have been traditionally used as antiseptic and hemostatic agents public in Hatay/Tukey. METHODS: Thirty rats were divided into three groups equally and blood samples were taken from all rats for preoperative hemoglobin (Hb) measurements. Then, the standard liver resection model was applied to all rats. Sponge for the first rat group, Ankaferd Blood Stopper (R) Trend-Tech for the second rat group and IvCbp plant extract mixture for the third group were applied to resection areas for 3 minutes. Liver samples of all rats were evaluated in terms of inflammation and necrosis intensity on the 5th post-operative day. RESULTS: operative Hb values were found as 11.0 +/- 1.1 g/dL in the sponge group, 11.9 +/- 2.0 g/dL in the Ankaferd group, and 14.I +/- 1.2 g/dL in the IvCbp herb mixture group (p<0.001). In the histopathological examination, less necrosis was observed in the herb mixture group compared to the sponge and Ankaferd groups (p=0.001). In addition, no statistically significant necrosis difference was observed between sponge and Ankaferd groups. While less inflammation was observed in the herb mixture group compared to the other groups, Ankaferd group had the highest inflammation score (p<0.001). CONCLUSION: IvCbp herb mixture extract group provide effective hemostatic control, caused less Hb decrease and resulted in less inflammation and necrosis compared to Ankaferd and sponge groups in a rat liver resection model.