Browsing by Author "Bataller, Ramon"
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- ItemAn artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study(2024) Dunn, Winston; Li, Yanming; Singal, Ashwani K.; Simonetto, Douglas A.; Díaz Piga, Luis Antonio; Idalsoaga Ferrer, Francisco Javier; Ayares, Gustavo; Arnold Alvaréz, Jorge Ignacio; Ayala-Valverde, Maria; Perez, Diego; Gomez, Jaime; Escarate, Rodrigo; Fuentes López, Eduardo; Ramirez-Cadiz, Carolina; Morales-Arraez, Dalia; Zhang, Wei; Qian, Steve; Ahn, Joseph C.; Buryska, Seth; Mehta, Heer; Dunn, Nicholas; Waleed, Muhammad; Stefanescu, Horia; Bumbu, Andreea; Horhat, Adelina; Attar, Bashar; Agrawal, Rohit; Cabezas, Joaquin; Echavaria, Victor; Cuyas, Berta; Poca, Maria; Soriano, German; Sarin, Shiv K.; Maiwall, Rakhi; Jalal, Prasun K.; Higuera-de-la-Tijera, Fatima; Kulkarni, Anand V.; Rao, P. Nagaraja; Guerra-Salazar, Patricia; Skladany, Lubomir; Kubanek, Natalia; Prado, Veronica; Clemente-Sanchez, Ana; Rincon, Diego; Haider, Tehseen; Chacko, Kristina R.; Romero, Gustavo A.; Pollarsky, Florencia D.; Restrepo, Juan C.; Toro, Luis G.; Yaquich, Pamela; Mendizabal, Manuel; Garrido, Maria L.; Marciano, Sebastian; Dirchwolf, Melisa; Vargas, Victor; Jimenez, Cesar; Hudson, David; Garcia-Tsao, Guadalupe; Ortiz, Guillermo; Abraldes, Juan G.; Kamath, Patrick S.; Arrese, Marco; Shah, Vijay H.; Bataller, Ramon; Arab, Juan P.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/.
- ItemImpact of Public Health Policies on Alcohol-Associated Liver Disease in Latin America: An Ecological Multinational Study(WILEY, 2021) Diaz Piga, Luis Antonio; Idalsoaga Ferrer, Francisco Javier; Fuentes López, Eduardo; Marquez Lomas, Andrea; Ramirez, Carolina A.; Pablo Roblero, Juan; Araujo, Roberta C.; Higuera de la Tijera, Fatima; Guillermo Toro, Luis; Pazmino, Galo; Montes, Pedro; Hernandez, Nelia; Mendizabal, Manuel; Corsi, Oscar; Ferreccio, Catterina; Lazo, Mariana; Brahmania, Mayur; Singal, Ashwani K.; Bataller, Ramon; Arrese Jimenez, Marco Antonio; Arab Verdugo, Juan PabloBackground and Aims Alcohol-associated liver disease (ALD) is the leading cause of liver-related mortality in Latin America, yet the impact of public health policies (PHP) on liver disease is unknown. We aimed to assess the association between alcohol PHP and deaths due to ALD in Latin American countries. Approach and Results We performed an ecological multinational study including 20 countries in Latin America (628,466,088 inhabitants). We obtained country-level sociodemographic information from the World Bank Open Data source. Alcohol-related PHP data for countries were obtained from the World Health Organization Global Information System of Alcohol and Health. We constructed generalized linear models to assess the association between the number of PHP (in 2010) and health outcomes (in 2016). In Latin America, the prevalence of obesity was 27% and 26.1% among male and female populations, respectively. The estimated alcohol per capita consumption among the population at 15 years old or older was 6.8 L of pure alcohol (5.6 recorded and 1.2 unrecorded). The overall prevalence of alcohol use disorders (AUD) was 4.9%. ALD was the main cause of cirrhosis in 64.7% of male and 40.0% of female populations. A total of 19 (95%) countries have at least one alcohol-related PHP on alcohol. The most frequent PHP were limiting drinking age (95%), tax regulations (90%), drunk-driving policies and countermeasures (90%), and government monitoring systems and community support (90%). A higher number of PHP was associated with a lower ALD mortality (PR, 0.76; 95% CI, 0.61-0.93; P = 0.009), lower AUD prevalence (PR, 0.80; 95% CI, 0.65-0.99; P = 0.045), and lower alcohol-attributable road traffic deaths (PR, 0.81; 95% CI, 0.65-1.00; P = 0.051). Conclusions Our study indicates that in Latin America, countries with higher number of PHP have lower mortality due to ALD, lower prevalence of AUD, and lower alcohol-attributable road traffic mortality.
- ItemNew insights into the molecular basis of alcohol abstinence and relapse in alcohol-associated liver disease(Lippincott Williams & Wilkins, 2023) Diaz Piga, Luis Antonio; Winder, Gerald Scott; Leggio, Lorenzo; Bajaj, Jasmohan S.; Bataller, Ramon; Arab, Juan PabloAlcohol use disorder (AUD) remains a significant public health concern, affecting around 5% of adults worldwide. Novel pathways of damage have been described during the last years, providing insight into the mechanism of injury due to alcohol misuse beyond the direct effect of ethanol byproducts on the liver parenchyma and neurobehavioral mechanisms. Thus, the gut-liver-brain axis and immune system involvement could be therapeutic targets for AUD. In particular, a change in gut microbiota composition and function, especially bile acid homeostasis, and these changes can improve after alcohol cessation. Alcohol can also directly disrupt intestinal and blood-brain barriers. Activation of the immune system can be triggered by intestinal barrier dysfunction and translocation of bacteria, pathogen-associated molecular patterns (such as lipopolysaccharide), cytokines, and damage-associated molecular patterns. These factors in turn promote liver and brain inflammation and progression of liver fibrosis. Other involved mechanisms include oxidative stress, apoptosis, autophagy, and the release of extracellular vesicles and miRNA from hepatocytes. Potential therapeutic targets include gut microbiota (probiotics and fecal microbiota transplantation), neuroinflammatory pathways, as well as neuroendocrine pathways, e.g.: the ghrelin system (ghrelin receptor blockade), incretin mimetics (GLP-1 analogs), and the mineralocorticoid receptor system (spironolactone). In addition, support with psychological and behavioral treatments is essential to address the multiple dimensions of AUD. In the future, a personalized approach considering these novel targets can contribute to significantly decreasing the alcohol-related burden of disease.
- ItemRacial and ethnic disparities in the natural history of alcohol-associated liver disease in the United States(WILEY, 2024) Ayares Campos, Gustavo Ignacio; Diaz Piga, Luis Antonio; Fuentes Lopez, Eduardo; Idalsoaga Ferrer, Francisco Javier; Cotter, Thomas G.; Dunn, Winston; Simonetto, Douglas; Shah, Vijay H.; Kamath, Patrick S.; Lazarus, Jeffrey V.; Bataller, Ramon; Arrese, Marco; Wong, Robert J.; Singal, Ashwani K.; Arab, Juan PabloBackground: Outcomes in alcohol-associated liver disease (ALD) are influenced by several race and ethnic factors, yet its natural history across the continuum of patients in different stages of the disease is unknown.MethodsWe conducted a retrospective cohort study of U.S. adults from 2011 to 2018, using three nationally representative databases to examine potential disparities in relevant outcomes among racial and ethnic groups. Our analysis included logistic and linear regressions, along with competing risk analysis.ResultsBlack individuals had the highest daily alcohol consumption (12.6 g/day) while Hispanic participants had the largest prevalence of heavy episodic drinking (33.5%). In a multivariable-adjusted model, Hispanic and Asian participants were independently associated with a higher ALD prevalence compared to Non-Hispanic White interviewees (OR: 1.4, 95% CI: 1.1-1.8 and OR: 1.5 95% CI:1.1-2.0, respectively), while Blacks participants had a lower ALD prevalence (OR: .7 95% CI: .6-.9), and a lower risk of mortality during hospitalization due to ALD (OR: .83 95% CI: .73-.94). Finally, a multivariate competing-risk analysis showed that Hispanic ethnicity had a decreased probability of liver transplantation if waitlisted for ALD (SHR: .7, 95% CI: .6-.8) along with female Asian population (HR: .40, 95% CI: .26-.62).ConclusionsAfter accounting for key social and biological health determinants, the Hispanic population showed an increased risk of ALD prevalence, even with lower alcohol consumption. Additionally, Hispanic and Asian female patients had reduced access to liver transplantation compared to other enlisted patients., image