RESUMO
OBJECTIVES: The recipient's gastroduodenal artery is often ligated before the hepatic artery anastomosis during orthotopic liver transplant, to gain either mobility or length of recipient's hepatic artery, potentially protecting the anastomosis by preventing "steal syndrome." In this study, our aim was to evaluate the consequences of gastroduodenal artery ligation and its effect on prevention of hepatic artery thrombosis. MATERIALS AND METHODS: We retrospectively analyzed deceased-donor orthotopic liver transplant procedures (n = 210) performed at a single center between January 2016 and July 2021 to compare outcomes between recipients with (group 1) and recipients without (group 2) gastroduodenal artery ligation. Group 1 included 78 patients (37%), in which the recipient's common hepatic artery was used for arterial anastomosis; group 2 included 132 patients (63%), in which the right hepatic artery orthe proper hepatic artery was used for arterial anastomosis. Occurrences of hepatic artery thrombosis, postoperative hyperamylasemia, nausea and vomiting, and delayed feeding were compared between the groups. RESULTS: There was no incidence of hepatic artery thrombosis reported in either group. In group 1, 31 patients (39.7%) were reported to have postoperative hyperamylasemia, ranging from 200 to 4700 U/L accompanied by delayed feeding, whereas, in group 2, only 16 of 132 patients (12%) had postoperative hyperamylasemia, ranging from 200 to 1400 U/L (P < .01). CONCLUSIONS: Ligation of recipient's gastroduodenal artery is not associated with decreased risk of hepatic artery thrombosis compared with nonligation. However, the procedure does have consequences in the form of possible postoperative hyperamylasemia, leading to delayed feeding probably due to decreased oral tolerance.
Assuntos
Hiperamilassemia , Hepatopatias , Transplante de Fígado , Trombose , Humanos , Artéria Hepática/cirurgia , Transplante de Fígado/efeitos adversos , Transplante de Fígado/métodos , Estudos Retrospectivos , Hiperamilassemia/complicações , Hepatopatias/complicações , Trombose/etiologia , Trombose/prevenção & controle , Anastomose Cirúrgica/efeitos adversos , Anastomose Cirúrgica/métodosRESUMO
BACKGROUND: Natural language processing is a form of artificial intelligence that allows human users to interface with a machine without using complex codes. The ability of natural language processing systems, such as ChatGPT, to successfully engage with healthcare systems requiring fluid reasoning, specialist data interpretation, and empathetic communication in an unfamiliar and evolving environment is poorly studied. This study investigated whether the ChatGPT interface could engage with and complete a mock objective structured clinical examination simulating assessment for membership of the Royal College of Obstetricians and Gynaecologists. OBJECTIVE: This study aimed to determine whether ChatGPT, without additional training, would achieve a score at least equivalent to that achieved by human candidates who sat for virtual objective structured clinical examinations in Singapore. STUDY DESIGN: This study was conducted in 2 phases. In the first phase, a total of 7 structured discussion questions were selected from 2 historical cohorts (cohorts A and B) of objective structured clinical examination questions. ChatGPT was examined using these questions and responses recorded in a script. Of note, 2 human candidates (acting as anonymizers) were examined on the same questions using videoconferencing, and their responses were transcribed verbatim into written scripts. The 3 sets of response scripts were mixed, and each set was allocated to 1 of 3 human actors. In the second phase, actors were used to presenting these scripts to examiners in response to the same examination questions. These responses were blind scored by 14 qualified examiners. ChatGPT scores were unblinded and compared with historical human candidate performance scores. RESULTS: The average score given to ChatGPT by 14 examiners was 77.2%. The average historical human score (n=26 candidates) was 73.7 %. ChatGPT demonstrated sizable performance improvements over the average human candidate in several subject domains. The median time taken for ChatGPT to complete each station was 2.54 minutes, well before the 10 minutes allowed. CONCLUSION: ChatGPT generated factually accurate and contextually relevant structured discussion answers to complex and evolving clinical questions based on unfamiliar settings within a very short period. ChatGPT outperformed human candidates in several knowledge areas. Not all examiners were able to discern between human and ChatGPT responses. Our data highlight the emergent ability of natural language processing models to demonstrate fluid reasoning in unfamiliar environments and successfully compete with human candidates that have undergone extensive specialist training.