Citations

Background: Stroke is one of the most dreaded complications of type A acute aortic dissection (TA-AAD). However, few data exist on its incidence and association with prognosis. Methods: We evaluated 2202 TA-AAD patients [pts, mean age 61.9 ± 14.4, 1487 (67.5%) male] from the International Registry of Acute Aortic Dissection (IRAD) to determine the incidence and prognostic influence of stroke in TA-AAD. Results: Stroke was present at arrival in 132 (6.0%) TA-AAD pts. Stroke pts were older (65±12 vs. 62±15 yrs; p=.002) and more likely to have hypertension (86% vs. 71%; p=.001) or atherosclerosis (29% vs. 22%; p=.042). While chest pain at arrival was less common (70% vs. 82%; p<.001), stroke pts presented more often with syncope (44% vs. 15%; p<.001), shock (14% vs. 7%; p=.005) or pulse deficit (51% vs. 29%; p=<.001). Arch vessels involvement was more frequent among the stroke pts (68% vs. 37%; p<.001). Stroke pts were treated less frequently by surgery (74% vs. 85%; p<.001). Hospital stay was significantly longer in patients presenting with stroke (median 17.9 versus 13.3 days, p<0.001). Stroke patients demonstrated more frequent in-hospital complications (Table) and higher mortality (adjusted OR 1.62, 95% CI .99-2.65, p=.055) Among hospital survivors, mortality at follow-up was similar in pts with and without stroke (adjusted HR 1.15, 95% CI 0.46-2.89, p=.761). Conclusions: Stroke occurred in greater than 1 of 20 pts with TA-AAD and was associated with increased morbidity and in-hospital, but not long-term mortality. Whether aggressive early intervention will reduce morbidity and improve mortality remains to be evaluated in future studies.

Cristiane Maki-Nunes, 2011 Finalist and Presenting Author

Background and Aims: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Existing prognostic models lack precision for 90-day mortality. Utilizing artificial intelligence in a global cohort, we sought to derive and validate an enhanced prognostic model. Approach and Results: The Global AlcHep initiative, a retrospective study across 23 centers in 12 countries, enrolled patients with AH per National Institute for Alcohol Abuse and Alcoholism criteria. Centers were partitioned into derivation (11 centers, 860 patients) and validation cohorts (12 centers, 859 patients). Focusing on 30 and 90-day postadmission mortality, 3 artificial intelligence algorithms (Random Forest, Gradient Boosting Machines, and eXtreme Gradient Boosting) informed an ensemble model, subsequently refined through Bayesian updating, integrating the derivation cohort’s average 90-day mortality with each center’s approximate mortality rate to produce posttest probabilities. The ALCoholic Hepatitis Artificial INtelligence Ensemble score integrated age, gender, cirrhosis, and 9 laboratory values, with center-specific mortality rates. Mortality was 18.7% (30 d) and 27.9% (90 d) in the derivation cohort versus 21.7% and 32.5% in the validation cohort. Validation cohort 30 and 90-day AUCs were 0.811 (0.779–0.844) and 0.799 (0.769–0.830), significantly surpassing legacy models like Maddrey’s Discriminant Function, Model for End-Stage Liver Disease variations, age-serum bilirubin-international normalized ratio-serum Creatinine score, Glasgow, and modified Glasgow Scores (p < 0.001). ALCoholic Hepatitis Artificial INtelligence Ensemble score also showcased superior calibration against MELD and its variants. Steroid use improved 30-day survival for those with an ALCoholic Hepatitis Artificial INtelligence Ensemble score > 0.20 in both derivation and validation cohorts. Conclusions: Harnessing artificial intelligence within a global consortium, we pioneered a scoring system excelling over traditional models for 30 and 90-day AH mortality predictions. Beneficial for clinical trials, steroid therapy, and transplant indications, it’s accessible at: https://aihepatology.shinyapps.io/ALCHAIN/.

Moderate traumatic brain injury (TBI) is a diagnosis that describes diverse patients with heterogeneity of primary injuries. Defined by a Glasgow Coma Scale between 9 and 12, this category includes patients who may neurologically worsen and require increasing intensive care resources and/or emergency neurosurgery. Despite the unique characteristics of these patients, there have not been specific guidelines published before this effort to support decision-making in these patients. A Delphi consensus group from the Latin American Brain Injury Consortium was established to generate recommendations related to the definition and categorization of moderate TBI. Before an in-person meeting, a systematic review of the literature was performed identifying evidence relevant to planned topics. Blinded voting assessed support for each recommendation. A priori the threshold for consensus was set at 80% agreement. Nine PICOT questions were generated by the panel, including definition, categorization, grouping, and diagnosis of moderate TBI. Here, we report the results of our work including relevant consensus statements and discussion for each question. Moderate TBI is an entity for which there is little published evidence available supporting definition, diagnosis, and management. Recommendations based on experts' opinion were informed by available evidence and aim to refine the definition and categorization of moderate TBI. Further studies evaluating the impact of these recommendations will be required.