• La Universidad
    • Historia
    • Rectoría
    • Autoridades
    • Secretaría General
    • Pastoral UC
    • Organización
    • Hechos y cifras
    • Noticias UC
  • 2011-03-15-13-28-09
  • Facultades
    • Agronomía e Ingeniería Forestal
    • Arquitectura, Diseño y Estudios Urbanos
    • Artes
    • Ciencias Biológicas
    • Ciencias Económicas y Administrativas
    • Ciencias Sociales
    • College
    • Comunicaciones
    • Derecho
    • Educación
    • Filosofía
    • Física
    • Historia, Geografía y Ciencia Política
    • Ingeniería
    • Letras
    • Matemáticas
    • Medicina
    • Química
    • Teología
    • Sede regional Villarrica
  • 2011-03-15-13-28-09
  • Organizaciones vinculadas
  • 2011-03-15-13-28-09
  • Bibliotecas
  • 2011-03-15-13-28-09
  • Mi Portal UC
  • 2011-03-15-13-28-09
  • Correo UC
- Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log in
    Log in
    Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log in
    Log in
    Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Ayala-Valverde, Maria"

Now showing 1 - 3 of 3
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    An 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/.
  • No Thumbnail Available
    Item
    Moderate alcohol-associated hepatitis: A real-world multicenter study
    (Springer, 2025) Idalsoaga Ferrer, Francisco Javier; Diaz, Luis Antonio; Dunn, Winston; Mehta, Heer; Munoz, Karen; Caldentey, Vicente; Arnold, Jorge; Ayares, Gustavo; Mortuza, Rokhsana; Sarin, Shiv K.; Maiwall, Rakhi; Zhang, Wei; Qian, Steve; Simonetto, Douglas; Singal, Ashwani K.; Elfeki, Mohamed A.; Ramirez-Cadiz, Carolina; Malhi, Gurpreet; Ahmed, Adan; Homsi, Hoomam; Abid, Zinia; Cabezas, Joaquin; Echavarria, Victor; Poca, Maria; Soriano, German; Cuyas, Berta; Cots, Meritxell Ventura; Higuera-De La Tijera, Maria Fatima; Ayala-Valverde, Maria; Perez, Diego; Gomez, Jaime; Abraldes, Juan G.; Al-Karaghouli, Mustafa; Jalal, Prasun K.; Ibrahim, Mohamad A.; Garcia-Tsao, Guadalupe; Goyes, Daniela; Skladany, Lubomir; Havaj, Daniel J.; Sulejova, Karolina; Selcanova, Svetlana Adamcova; Rincon, Diego; Chacko, Kristina R.; Restrepo, Juan C.; Yaquich, Pamela; Toro, Luis G.; Shah, Vijay; Arrese Jiménez, Marco Antonio; Kamath, Patrick S.; Bataller, Ramon; Arab Verdugo, Juan Pablo
    Background: Severe alcohol-associated hepatitis (sAH) is a well-characterized disease with high short-term mortality. However, there is limited research on those with a "less severe condition" (moderate AH). This study aims to characterize in-depth patients with moderate AH (mAH), including the performance of mortality scoring systems, key prognostic factors, and survival over time. Methods:A multicenter retrospective cohort study (2009-2019) included patients with mAH (MELD score <= 20 at admission). Cox regression and receiver operating characteristic curves with AUC were used for analysis. Results:We included 1845 patients with AH (20 centers, 8 countries) between 2009 and 2019. mAH was defined as a MELD score <= 20 at admission. Twenty-four percent met the criteria for an mAH episode. Patients with mAH tend to be older and have a higher proportion of females, with a median MELD of 17 (15-19), Maddrey discriminant function (mDF) of 33 (22-40), the trajectory of serum bilirubin of 0.83 (0.60-1.21), and neutrophil-to-lymphocyte ratio (NLR) of 5 (2.96-8.60). The primary causes of death in mAH included multiple organ failure (34.1%) and infections (16.6%). The cumulative survival rates at 30, 90, and 180 days were 94.3%, 90.4%, and 88.2%, respectively. In multivariable analysis, age was the only significant predictor of 30-day mortality (HR 1.49, 95% CI: 1.27-1.76, p<0.001). Mortality prediction models showed poor performance, with AUC for MELD (0.671), mDF (0.726), trajectory of serum bilirubin (0.733), and NLR (0.697). Conclusions:Patients with moderate AH exhibited a mortality of 11.8% at 6 months, primarily driven by multiple organ failure and infections. These patients also exhibit a different clinical profile compared to those with sAH. Tailored models and therapeutic strategies are needed to improve long-term outcomes in mAH.
  • Loading...
    Thumbnail Image
    Item
    Moderate alcohol-associated hepatitis: A real-world multicenter study
    (2025) Idalsoaga Ferrer, Francisco Javier; Diaz, Luis Antonio; Dunn, Winston; Mehta, Heer; Munoz, Karen; Caldentey, Vicente; Arnold, Jorge; Ayares, Gustavo; Mortuza, Rokhsana; Sarin, Shiv K.; Maiwall, Rakhi; Zhang, Wei; Qian, Steve; Simonetto, Douglas; Singal, Ashwani K.; Elfeki, Mohamed A.; Ramirez-Cadiz, Carolina; Malhi, Gurpreet; Ahmed, Adan; Homsi, Hoomam; Abid, Zinia; Cabezas, Joaquin; Echavarria, Victor; Poca, Maria; Soriano, German; Cuyas, Berta; Cots, Meritxell Ventura; Higuera-De La Tijera, Maria Fatima; Ayala-Valverde, Maria; Perez, Diego; Gomez, Jaime; Abraldes, Juan G.; Al-Karaghouli, Mustafa; Jalal, Prasun K.; Ibrahim, Mohamad A.; Garcia-Tsao, Guadalupe; Goyes, Daniela; Skladany, Lubomir; Havaj, Daniel J.; Sulejova, Karolina; Selcanova, Svetlana Adamcova; Rincon, Diego; Chacko, Kristina R.; Restrepo, Juan C.; Yaquich, Pamela; Toro, Luis G.; Shah, Vijay; Arrese Jiménez, Marco Antonio; Kamath, Patrick S.; Bataller, Ramon; Arab Verdugo, Juan Pablo
    Background: Severe alcohol-associated hepatitis (sAH) is a well-characterized disease with high short-term mortality. However, there is limited research on those with a "less severe condition" (moderate AH). This study aims to characterize in-depth patients with moderate AH (mAH), including the performance of mortality scoring systems, key prognostic factors, and survival over time. Methods:A multicenter retrospective cohort study (2009-2019) included patients with mAH (MELD score <= 20 at admission). Cox regression and receiver operating characteristic curves with AUC were used for analysis. Results:We included 1845 patients with AH (20 centers, 8 countries) between 2009 and 2019. mAH was defined as a MELD score <= 20 at admission. Twenty-four percent met the criteria for an mAH episode. Patients with mAH tend to be older and have a higher proportion of females, with a median MELD of 17 (15-19), Maddrey discriminant function (mDF) of 33 (22-40), the trajectory of serum bilirubin of 0.83 (0.60-1.21), and neutrophil-to-lymphocyte ratio (NLR) of 5 (2.96-8.60). The primary causes of death in mAH included multiple organ failure (34.1%) and infections (16.6%). The cumulative survival rates at 30, 90, and 180 days were 94.3%, 90.4%, and 88.2%, respectively. In multivariable analysis, age was the only significant predictor of 30-day mortality (HR 1.49, 95% CI: 1.27-1.76, p<0.001). Mortality prediction models showed poor performance, with AUC for MELD (0.671), mDF (0.726), trajectory of serum bilirubin (0.733), and NLR (0.697). Conclusions:Patients with moderate AH exhibited a mortality of 11.8% at 6 months, primarily driven by multiple organ failure and infections. These patients also exhibit a different clinical profile compared to those with sAH. Tailored models and therapeutic strategies are needed to improve long-term outcomes in mAH.

Bibliotecas - Pontificia Universidad Católica de Chile- Dirección oficinas centrales: Av. Vicuña Mackenna 4860. Santiago de Chile.

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback