Outcomes of Adult Right Graft Living Donor Liver Transplantation Utilizing the Robotic Platform Integrated Real-time Indocyanine Green Fluorescence Cholangiography Compared to the Open Approach.

OBJECTIVE: This study aimed to assess short-term biliary outcomes in adult living donor liver transplants using right grafts, comparing robotic surgery with real-time indocyanine green fluorescence cholangiography (ICG-CA) for optimal hilar plate transection, against the conventional open approach. SUMMARY BACKGROUND DATA: Determining the optimal transection plane through the hilar plate is crucial in donor hepatectomies, impacting outcomes significantly. PATIENTS AND METHODS: From 2011 to 2023, a total of 839 right graft living donor hepatectomies were performed, with 414 (49%) performed via the open approach and 425 (51%) utilizing the robotic platform. RESULTS: The MRCP predictions correlated moderately with the actual count of graft ducts (r=0.57,P<0.001) Out of all 839 right donor hepatectomies, 321 (44%) were single duct grafts, of which 193/425 (49%) were retrieved with the robotic while 128/414 (38%) were with the open approach (OR 1.58, 95% CI 1.16-2.14),P=0.003). Overall, 50 (6%) of the donors developed a biliary complication during hospital stay, of whom 38 (9%) were grafts retrieved with the open, while 13 (3%) with the robotic approach (OR 0.31, 95% CI 0.15-0.61,P<0.001). Similarly, 63 (15%) of the adult recipients developed a biliary complication of any severity when grafts were retrieved with the open approach compared to 35 (8%) with the robotic approach (OR 0.50, 95% CI 0.31-0.79),P=0.002). CONCLUSION: The robotic platform with integrated real-time ICG-CA during right donor hepatectomy offers improved safety for the donor by accurately addressing the right hilar corridor, resulting in fewer graft ducts, and fewer complications of the donor and recipient when compared to the standard open approach.

Revolutionizing Organ Transplantation with Robotic Surgery.

OBJECTIVE: To evaluate the impact of robotic techniques on organ transplantation outcomes. SUMMARY BACKGROUND DATA: The evolution of organ transplantation is becoming influenced by the adoption of minimally invasive techniques, transitioning from laparoscopic to robotic methods. Robotic surgery has emerged as a significant advancement, providing superior precision and outcomes compared to traditional approaches. METHODS: This perspective includes a systematic review of the literature, original data from a high-volume center, as well as an international survey focusing on perceptions related to robotic versus laparoscopic and open approaches. RESULTS: The systematic review and meta-analysis revealed lower morbidity with robotic donor nephrectomy, recipient kidney transplant and donor hepatectomy. Our center's experience, with over 3,000 minimally invasive transplant procedures (kidney, liver, donor, and recipient), supports the superiority of Robotic Transplant Surgery (RTS). The global survey confirms this shift, revealing a preference for robotic approaches due to their reduced morbidity, despite challenges such as access to the robotic system and cost. CONCLUSION: This comprehensive overview including a systematic review, original data, and perceptions derived from the international survey demonstrate the superiority of Robotic Transplant Surgery (RTS) across a range of organ transplantations, for both donors and recipients. The future of RTS depends on the efforts of the surgical community in addressing challenges such as economic implications, the need for specialized surgical training for numerous surgeons, as well as wide access to robotic systems worldwide.

Outcomes of Fully Robotic Recipient Living Donor Liver Transplant in Relation to the Open Approach.

BACKGROUND: Over the past 20 y, robotic surgery has entered nearly all surgical disciplines, aiming to improve patient outcomes. Liver transplantation has evolved with these advancements, and fully robotic liver transplants represent the latest innovation in this field. This study reports on the world's first series of fully robotic recipient liver transplants from robotic living donors, comparing them with matched cases from the standard open transplant approach. METHODS: A case-control study was conducted at our center from August to December 2023. Patient selection criteria for robotic recipient liver transplantation included a Model for End-stage Liver Disease score of ≤25, specific anatomical characteristics, and logistics. A propensity score analysis with a 1:4 matching ratio was used. RESULTS: The study analyzed 10 fully robotic living donor and robotic recipient liver transplant pairs with a median donor age of 29 y and a recipient age of 61 y. The main indication for transplantation was nonalcoholic steatohepatitis (6/10). There was 1 robotic to open conversion, and the median operation time was 10 h, with a median hospital stay of 13 d, shorter than the 18 d in the open group. Three recipients experienced a complication, and there was no mortality. CONCLUSIONS: The first-ever series of fully robotic living donor recipient liver transplants showed encouraging initial results with a markedly reduced hospital stay. The ultimate goal is to refine the technique to offer robotic liver transplants to the majority of recipients, overcoming the current selection criteria. Further research and a planned randomized controlled trial will aim to confirm these results.

Comparative Analysis of Artificial Intelligence (AI) Languages in Predicting Sequential Organ Failure Assessment (SOFA) Scores.

PURPOSE: The Sequential Organ Failure Assessment (SOFA) score plays a crucial role in intensive care units (ICUs) by providing a reliable measure of a patient's organ function or extent of failure. However, the precise assessment is time-consuming, and daily assessment in clinical practice in the ICU can be challenging. METHODS: Realistic scenarios in an ICU setting were created, and the data mining precision of ChatGPT 4.0 Plus, Bard, and Perplexity AI were assessed using Spearman's as well as the intraclass correlation coefficients regarding the accuracy in determining the SOFA score. RESULTS: The strongest correlation was observed between the actual SOFA score and the score calculated by ChatGPT 4.0 Plus (r correlation coefficient 0.92) (p<0.001). In contrast, the correlation between the actual SOFA and that calculated by Bard was moderate (r=0.59, p=0.070), while the correlation with Perplexity AI was substantial, at 0.89, with a p<0.001. The interclass correlation coefficient analysis of SOFA with those of ChatGPT 4.0 Plus, Bard, and Perplexity AI was ICC=0.94. CONCLUSION: Artificial intelligence (AI) tools, particularly ChatGPT 4.0 Plus, show significant promise in assisting with automated SOFA score calculations via AI data mining in ICU settings. They offer a pathway to reduce the manual workload and increase the efficiency of continuous patient monitoring and assessment. However, further development and validation are necessary to ensure accuracy and reliability in a critical care environment.

Decoding the Clavien-Dindo Classification: Artificial Intelligence (AI) as a Novel Tool to Grade Postoperative Complications.

OBJECTIVE: To assess ChatGPT's capability of grading postoperative complications using the Clavien-Dindo classification (CDC) via Artificial Intelligence (AI) with Natural Language Processing (NLP). BACKGROUND: The CDC standardizes grading of postoperative complications. However, consistent, and precise application in dynamic clinical settings is challenging. AI offers a potential solution for efficient automated grading. METHODS: ChatGPT's accuracy in defining the CDC, generating clinical examples, grading complications from existing scenarios, and interpreting complications from fictional clinical summaries, was tested. RESULTS: ChatGPT 4 precisely mirrored the CDC, outperforming version 3.5. In generating clinical examples, ChatGPT 4 showcased 99% agreement with minor errors in urinary catheterization. For single complications, it achieved 97% accuracy. ChatGPT was able to accurately extract, grade, and analyze complications from free text fictional discharge summaries. It demonstrated near perfect performance when confronted with real-world discharge summaries: comparison between the human and ChatGPT4 grading showed a κ value of 0.92 (95% CI 0.82-1) (P<0.001). CONCLUSIONS: ChatGPT 4 demonstrates promising proficiency and accuracy in applying the CDC. In the future, AI has the potential to become the mainstay tool to accurately capture, extract, and analyze CDC data from clinical datasets.

Robotic living donor hepatectomy is associated with superior outcomes for both the donor and the recipient compared with laparoscopic or open - A single-center prospective registry study of 3448 cases.

Minimally invasive donor hepatectomy is an emerging surgical technique in living donor liver transplantation (LDLT). We examined outcomes across open, laparoscopic, and robotic LDLT using a prospective registry. We analyzed 3448 cases (1724 donor-recipient pairs) from January 2011 to March 2023 (NCT06062706). Among donors, 520 (30%) were female. Adult-to-adult LDLT comprised 1061 (62%) cases. A total of 646 (37%) of the donors underwent open, 165 (10%) laparoscopic, and 913 (53%) robotic hepatectomies. Primary outcomes: donor overall morbidity was 4% (35/903) for robotic, 8% (13/165) laparoscopic, and 16% (106/646) open (P < .001) procedures. Pediatric and adult recipient mortality was similar among the 3 donor hepatectomy approaches: robotic 1.5% and 7.0%, compared with 2.3% and 8.3% laparoscopic, and 1.6% and 5.5% for open donor surgery, respectively (P = .802, P = .564). Secondary outcomes: pediatric and adult recipients major morbidity after robotic hepatectomy was 15% and 23%, compared with 25% and 44% for laparoscopic surgery and 19% and 31% for open surgery, respectively (P = .033, P < .001). Graft and recipient 5-year survival were 90% and 93% for pediatrics and 79% and 80% for adults, respectively. In conclusion, robotic LDLT was associated with superior outcomes when compared with the laparoscopic and open approaches. Both donors and, for the first time reported, recipients benefitted from lower morbidity rates in robotic surgery, emphasizing its potential for further advancing this field.

The influence of socioeconomic inequity and guidelines compliance on clinical outcomes of patients with acute biliary pancreatitis. An international multicentric cohort study.

BACKGROUND: There is lack of data on the association between socioeconomic factors, guidelines compliance and clinical outcomes among patients with acute biliary pancreatitis (ABP). METHODS: Post-hoc analysis of the international MANCTRA-1 registry evaluating the impact of regional disparities as indicated by the Human Development Index (HDI), and guideline compliance on ABP clinical outcomes. Multivariable logistic regression models were employed to identify prognostic factors associated with mortality and readmission. RESULTS: Among 5313 individuals from 151 centres across 42 countries marked disparities in comorbid conditions, ABP severity, and medical procedure usage were observed. Patients from lower HDI countries had higher guideline non-compliance (p < 0.001) and mortality (5.0% vs. 3.2%, p = 0.019) in comparison with very high HDI countries. On adjusted analysis, ASA score (OR 1.810, p = 0.037), severe ABP (OR 2.735, p < 0.001), infected necrosis (OR 2.225, p = 0.006), organ failure (OR 4.511, p = 0.001) and guideline non-compliance (OR 2.554, p = 0.002 and OR 2.178, p = 0.015) were associated with increased mortality. HDI was a critical socio-economic factor affecting both mortality (OR 2.452, p = 0.007) and readmission (OR 1.542, p = 0.046). CONCLUSION: These data highlight the importance of collaborative research to characterise challenges and disparities in global ABP management. Less developed regions with lower HDI scores showed lower adherence to clinical guidelines and higher rates of mortality and recurrence.

Navigating the Labyrinth: Intensive Care Challenges for Patients with Acute-on-Chronic Liver Failure.

Acute-on-chronic liver failure (ACLF) refers to the deterioration of liver function in individuals who already have chronic liver disease. In the setting of ACLF, liver damage leads to the failure of other organs and is associated with increased short-term mortality. Optimal medical management of patients with ACLF requires implementing complex treatment strategies, often in an intensive care unit (ICU). Failure of organs other than the liver distinguishes ACLF from other critical illnesses. Although there is growing evidence supporting the current approach to ACLF management, the mortality associated with this condition remains unacceptably high. In this review, we discuss considerations for ICU care of patients with ACLF and highlight areas for further research.