Publications by authors named "Carlos Verdiales"
Article Synopsis
- - The study revisits earlier findings on hypothermic machine perfusion (HMP) in kidney transplants, showing that longer pump times for the second kidney (K2) may lead to better transplant outcomes compared to the first kidney (K1).
- - Analysis of 61 kidney transplant pairs revealed that K2 had significantly lower rates of acute rejection and delayed graft function, with better overall graft survival than K1.
- - The results support the idea that longer preservation times might have benefits, suggesting further investigation into HMP's potential anti-inflammatory effects in kidney transplantation is warranted.
Protective Effect of Subcutaneous Drains on Wound Infections in Kidney Transplantation.
Transplant Proc
November 2023
Article Synopsis
- Wound infections are common after kidney transplantation, affecting 5%-19% of patients, and may be reduced by using subcutaneous drains alongside standard retroperitoneal drains.
- A study comparing patients who received both drains (SQ drain group) and those who only had the retroperitoneal drain (standard group) found significantly fewer wound infections in the SQ drain group (3% vs. 17%).
- Subcutaneous drains offer a cost-effective way to lower wound complication rates in kidney transplant patients, but further research is needed to confirm these findings.
Article Synopsis
- Research is crucial in surgical training and this study evaluates how many resident research abstracts turn into published papers and what factors impact that conversion.
- Out of 99 resident research abstracts from 2008-2018, 53% were published in peer-reviewed journals and 43% were presented at national conferences.
- Key predictors for publication included multidisciplinary research, collaboration among resident researchers, and having a faculty supervisor with over 25 publications.
The purpose of this project is to identify prognostic features in resectable pancreatic head adenocarcinoma and use these features to develop a machine learning algorithm that prognosticates survival for patients pursuing pancreaticoduodenectomy. A retrospective cohort study of 93 patients who underwent a pancreaticoduodenectomy was performed. The patients were analyzed in 2 groups: Group 1 (n = 38) comprised of patients who survived < 2 years, and Group 2 (n = 55) comprised of patients who survived > 2 years.
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