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2023 World Conference on Lung Cancer (Posters)
EP07.01. Can the Use of New Haemostatic Agent Impr ...
EP07.01. Can the Use of New Haemostatic Agent Improve Short Term Outcomes of Surgically Treated Non-small Cell Lung Cancer Patients? - PDF(Abstract)
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The study aimed to evaluate the impact of a new haemostatic agent called Microporous Polysaccharide Hemospheres (ARISTA) on the short-term outcomes of surgically treated non-small cell lung cancer patients. The researchers retrospectively reviewed a database of early-stage lung cancer patients who underwent surgery in two European centers from October 2020 to December 2022. The cohort was divided into five groups based on the use of haemostatic agents. They analyzed the patients' outcomes using univariate analysis and linear regression models adjusted for various factors. <br /><br />A total of 482 patients were included in the analysis, and ARISTA was used intraoperatively in 226 cases. The use of ARISTA was associated with significant reductions in surgical time, hospitalization duration, chest tube duration, and the total amount of fluid drained compared to other haemostatic agents. Linear regression analysis confirmed the superior results of ARISTA in terms of these outcomes. No bleeding, blood transfusion, 30-day mortality, or redo-surgeries were observed in the ARISTA group. <br /><br />The findings suggest that Microporous Polysaccharide Hemospheres is a safe and effective haemostatic device. Its use in lung cancer surgery has positive effects on short-term postoperative outcomes. These results are important because intraoperative and postoperative blood loss can be life-threatening complications in lung cancer surgery, especially minimally invasive procedures. The use of ARISTA could potentially improve patient outcomes and reduce the need for blood transfusions.
Asset Subtitle
Sara Ricciardi
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Speaker
Sara Ricciardi
Topic
Early-Stage NSCLC: Best Practice
Keywords
haemostatic agent
Microporous Polysaccharide Hemospheres
ARISTA
short-term outcomes
surgically treated
non-small cell lung cancer
retrospective review
early-stage lung cancer
univariate analysis
linear regression models
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