Shoeshine maneuver for cystic duct dissection: a simple technique to make Calot-triangle dissection smooth.

PURPOSE: Laparoscopic cholecystectomy, introduced in 1985 by Prof. Dr. Erich Mühe, has become the gold standard for treating chronic symptomatic calculous cholecystopathy and acute cholecystitis, with an estimated 750,000 procedures performed annually in the United States of America. The risk of iatrogenic bile duct injury persists, ranging from 0.2 to 1.3%. Risk factors include male gender, obesity, acute cholecystitis, previous hepatobiliary surgery, and anatomical variations in Calot's triangle. Strategies to mitigate bile duct injury include the Critical View of Safety and fundus-first dissection, along with intraoperative cholangiography and alternative approaches like subtotal cholecystectomy. METHODS: This paper introduces the shoeshine technique, a maneuver designed to achieve atraumatic exposure of anatomical structures, local hemostatic control, and ease of infundibulum mobilization. This technique involves the use of a blunt dissection tool and gauze to create traction and enhance visibility in Calot's triangle, particularly beneficial in cases of severe inflammation. Steps include using the critical view of safety and Rouviere's sulcus line for orientation, followed by careful dissection and traction with gauze to maintain stability and reduce the risk of instrument slippage. RESULTS: The technique, routinely used by the authors in over 2000 cases, has shown to enhance patient safety and reduce bile duct injury risks. CONCLUSION: The shoeshine technique represents a simple and easy way to apply maneuver that can help surgeon during laparoscopic cholecystectomies exposing the hepatocystic area and promote blunt dissection.

Shoeshine maneuver for cystic duct dissection: a simple technique to make Calot-triangle dissection smooth

ABSTRACT Purpose: Laparoscopic cholecystectomy, introduced in 1985 by Prof. Dr. Erich Mühe, has become the gold standard for treating chronic symptomatic calculous cholecystopathy and acute cholecystitis, with an estimated 750,000 procedures performed annually in the United States of America. The risk of iatrogenic bile duct injury persists, ranging from 0.2 to 1.3%. Risk factors include male gender, obesity, acute cholecystitis, previous hepatobiliary surgery, and anatomical variations in Calot's triangle. Strategies to mitigate bile duct injury include the Critical View of Safety and fundus-first dissection, along with intraoperative cholangiography and alternative approaches like subtotal cholecystectomy. Methods: This paper introduces the shoeshine technique, a maneuver designed to achieve atraumatic exposure of anatomical structures, local hemostatic control, and ease of infundibulum mobilization. This technique involves the use of a blunt dissection tool and gauze to create traction and enhance visibility in Calot's triangle, particularly beneficial in cases of severe inflammation. Steps include using the critical view of safety and Rouviere's sulcus line for orientation, followed by careful dissection and traction with gauze to maintain stability and reduce the risk of instrument slippage. Results: The technique, routinely used by the authors in over 2000 cases, has shown to enhance patient safety and reduce bile duct injury risks. Conclusion: The shoeshine technique represents a simple and easy way to apply maneuver that can help surgeon during laparoscopic cholecystectomies exposing the hepatocystic area and promote blunt dissection.

The use of POTTER (Predictive Optimal Trees in Emergency Surgery Risk) calculator to predict mortality and complications in patients submitted to Emergency Surgery.

INTRODUCTION: the ability of the care team to reliably predict postoperative risk is essential for improvements in surgical decision-making, patient and family counseling, and resource allocation in hospitals. The Artificial Intelligence (AI)-powered POTTER (Predictive Optimal Trees in Emergency Surgery Risk) calculator represents a user-friendly interface and has since been downloaded in its iPhone and Android format by thousands of surgeons worldwide. It was originally developed to be used in non-traumatic emergency surgery patients. However, Potter has not been validated outside the US yet. In this study, we aimed to validate the POTTER calculator in a Brazilian academic hospital. METHODS: mortality and morbidity were analyzed using the POTTER calculator in both trauma and non-trauma emergency surgery patients submitted to surgical treatment between November 2020 and July 2021. A total of 194 patients were prospectively included in this analysis. RESULTS: regarding the presence of comorbidities, about 20% of the population were diabetics and 30% were smokers. A total of 47.4% of the patients had hypertensive prednisone. After the analysis of the results, we identified an adequate capability to predict 30-day mortality and morbidity for this group of patients. CONCLUSION: the POTTER calculator presented excellent performance in predicting both morbidity and mortality in the studied population, representing an important tool for surgical teams to define risks, benefits, and outcomes for the emergency surgery population.

The use of POTTER (Predictive Optimal Trees in Emergency Surgery Risk) calculator to predict mortality and complications in patients submitted to Emergency Surgery / O uso do aplicativo POTTER (Predictive Optimal Trees in Emergency Surgery Risk) para prever mortalidade e complicações em pacientes submetidos à cirurgia de emergência

ABSTRACT Introduction: the ability of the care team to reliably predict postoperative risk is essential for improvements in surgical decision-making, patient and family counseling, and resource allocation in hospitals. The Artificial Intelligence (AI)-powered POTTER (Predictive Optimal Trees in Emergency Surgery Risk) calculator represents a user-friendly interface and has since been downloaded in its iPhone and Android format by thousands of surgeons worldwide. It was originally developed to be used in non-traumatic emergency surgery patients. However, Potter has not been validated outside the US yet. In this study, we aimed to validate the POTTER calculator in a Brazilian academic hospital. Methods: mortality and morbidity were analyzed using the POTTER calculator in both trauma and non-trauma emergency surgery patients submitted to surgical treatment between November 2020 and July 2021. A total of 194 patients were prospectively included in this analysis. Results: regarding the presence of comorbidities, about 20% of the population were diabetics and 30% were smokers. A total of 47.4% of the patients had hypertensive prednisone. After the analysis of the results, we identified an adequate capability to predict 30-day mortality and morbidity for this group of patients. Conclusion: the POTTER calculator presented excellent performance in predicting both morbidity and mortality in the studied population, representing an important tool for surgical teams to define risks, benefits, and outcomes for the emergency surgery population.

RESUMO Introdução: a capacidade da equipe de atendimento de prever de forma confiável o risco pós-operatório é essencial para melhorar a tomada de decisões cirúrgicas, o aconselhamento ao paciente e à família e a alocação de recursos nos hospitais. A calculadora POTTER (Predictive Optimal Trees in Emergency Surgery Risk), alimentada por inteligência artificial (IA) e com uma interface amigável, foi baixada em seu formato para iPhone e Android por milhares de cirurgiões em todo o mundo e foi originalmente desenvolvida para ser usada em pacientes de cirurgia de emergência não traumática. No entanto, a POTTER ainda não foi validada fora dos EUA. Neste estudo, nosso objetivo foi validar a calculadora POTTER em um hospital acadêmico brasileiro. Métodos: a mortalidade e a morbidade foram analisadas usando a calculadora POTTER em pacientes de cirurgia de emergência com e sem trauma submetidos a tratamento cirúrgico entre novembro de 2020 e julho de 2021. Um total de 194 pacientes foi incluído prospectivamente nessa análise. Resultados: Em relação à presença de comorbidades, cerca de 20% da população era diabética e 30%, fumante. Um total de 47,4% dos pacientes eram hipertensos antes da admissão. Após a análise dos resultados, identificamos uma capacidade adequada de prever a mortalidade e a morbidade em 30 dias para esse grupo de pacientes. Conclusão: a calculadora POTTER apresentou um excelente desempenho para prever a morbidade e a mortalidade na população estudada, representando uma ferramenta importante para as equipes cirúrgicas definirem riscos, benefícios e resultados para a população de cirurgia de emergência.