Browsing by Author "Kulkarni, Anand V."

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    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/.
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    Early living donor liver transplantation for alcohol-associated hepatitis
    (2023) Kulkarni, Anand V.; Reddy, Raghuram; Arab, Juan Pablo; Sharma, Mithun; Shaik, Sameer; Iyengar, Sowmya; Kumar, Naveen; Gupta, Rajesh; Premkumar, Giri Vishwanathan; Menon, Balachandran Palat; Reddy, Duvvur Nageshwar; Rao, Padaki Nagaraja; Reddy, K. Rajender
    Introduction and Objectives: Lately, there has been a steady increase in early liver transplantation for alcohol -associated hepatitis (AAH). Although several studies have reported favorable outcomes with cadaveric early liver transplantation, the experiences with early living donor liver transplantation (eLDLT) are limited. The primary objective was to assess one-year survival in patients with AAH who underwent eLDLT. The second-ary objectives were to describe the donor characteristics, assess the complications following eLDLT, and the rate of alcohol relapse.Materials and Methods: This single-center retrospective study was conducted at AIG Hospitals, Hyderabad, India, between April 1, 2020, and December 31, 2021.Results: Twenty-five patients underwent eLDLT. The mean time from abstinence to eLDLT was 92.4 +/- 42.94 days. The mean model for end-stage liver disease and discriminant function score at eLDLT were 28.16 +/- 2.89 and 104 +/- 34.56, respectively. The mean graft-to-recipient weight ratio was 0.85 +/- 0.12. Survival was 72% (95%CI, 50.61-88) after a median follow-up of 551 (23-932) days post-LT. Of the 18 women donors,11 were the wives of the recipient. Six of the nine infected recipients died: three of fungal sepsis, two of bacterial sepsis, and one of COVID-19. One patient developed hepatic artery thrombosis and died of early graft dysfunction. Twenty percent had alcohol relapse.Conclusions: eLDLT is a reasonable treatment option for patients with AAH, with a survival of 72% in our expe-rience. Infections early on post-LT accounted for mortality, and thus a high index of suspicion of infections and vigorous surveillance, in a condition prone to infections, are needed to improve outcomes.(c) 2023 Fundacion Clinica Medica Sur, A.C. Published by Elsevier Espana, S.L.U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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    Impact of Karnofsky performance status on outcomes of patients with severe alcohol-associated hepatitis: a propensity-matched analysis
    (2024) Kulkarni, Anand V.; Venishetty, Shantan; Kumar, Karan; Gurav, Nitish; Albhaisi, Somaya; Chhabbra, Prateek; Shaik, Sameer; Alla, Manasa; Iyengar, Sowmya; Sharma, Mithun; Rao, Padaki N.; Arab, Juan P.; Reddy, Duvvur N.
    Background and Aims: Severity scores, including the model for end-stage liver disease (MELD) and discriminant function score, guide the treatment of patients with severe alcohol-associated hepatitis (AH). We aimed to investigate the impact of functional status on outcomes of patients with AH. Methods: Medically managed patients (n = 133) with AH from 1 January 2019 to 31 December 2022 were included in this prospective study. The objectives were to compare the long-term survival, recompensation rates, corticosteroid response, incidence of infections, hepatic encephalopathy (HE) and acute kidney injury (AKI) among propensity score-matched patients with good Karnofsky performance status (KPS) (score >= 50) and poor KPS (score <50) using Kaplan-Meier analysis. Results: Twenty-five patients with good KPS were matched with 25 patients with poor KPS and followed up for a median duration of 10 (0.5-33) months. Survival was 76% (19/25; 95% confidence interval (CI), 54.9-90.6) in patients with good KPS compared to 42.3% (11/25; 95% CI, 23.4-63.1) patients with poor KPS (P = 0.001) at 10 months. The recompensation rate was higher in the good KPS group than in the poor KPS group (68% vs 44%; P = 0.04). A higher proportion of patients in the good KPS group (78.9%) than in the poor KPS group (42.8%; P = 0.03) responded to corticosteroids. Survival was lower among non-responders in the poor KPS group (0% vs 75%; P = 0.01). The proportion of patients who developed infection (36% vs 28%; P = 0.051), HE (36% vs 12%; P = 0.01) and AKI (60% vs 16%; P < 0.001) was higher in patients with poor KPS than in good KPS. Conclusions: KPS is an important determinant of outcomes in patients with AH, including survival, recompensation, response to corticosteroids and complications.
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    MELD 3.0 adequately predicts mortality and renal replacement therapy requirements in patients with alcohol-associated hepatitis
    (Elsevier B.V., 2023) Diaz Piga, Luis Antonio; Fuentes Lopez, Eduardo; Ayares Campos, Gustavo Ignacio; Idalsoaga Ferrer, Francisco Javier; Arnold Álvarez, Jorge Ignacio; Valverde, María Ayala; Perez, Diego; Gómez, Jaime; Escarate, Rodrigo; Villalon Friedrich, Alejandro Andrés; Ramírez, Carolina A.; Hernández-Tejero, María; Zhang, Wei; Qian, Steve; Simonetto, Douglas; Ahn, Joseph C.; Buryska, Seth; Dunn, Winston; Mehta, Heer; Agrawal, Rohit; Cabezas, Joaquín; Garcia Carrera, Inés; Cuyas, Berta; Poca, Maria; Soriano, German; Sarin, Shiv K.; Maiwall, Rakhi; Jalal, Prasun K.; Abdulsada, Saba; Higuera de la Tijera, Fátima; Kulkarni, Anand V.; Rao, P. Nagaraja; Guerra Salazar, Patricia; Skladany, Lubomir; Bystrianska, Natália; Clemente Sánchez, Ana; Villaseca Gómez, Clara; Haider, Tehseen; Chacko, Kristina R.; Romero, Gustavo A.; Pollarsky Florencia D.; Restrepo, Juan Carlos; Castro Sánchez, Susan; Toro, Luis G.; Yaquich, Pamela; Mendizabal, Manuel; Garrido, María Laura; Marciano, Sebastián; Dirchwolf, Melisa; Vargas, Víctor; Jimenez, César; Louvet, Alexandre; Garcia Tsao, Guadalupe; Roblero, Juan Pablo; Abraldes, Juan G.; Shah, Vijay H.; Kamath, Patrick S.; Arrese Jimenez, Marco Antonio; Singal, Ashwani K.; Bataller, Ramón; Arab Verdugo, Juan Pablo
    © 2023 The Author(s)Background & Aims: Model for End-Stage Liver Disease (MELD) score better predicts mortality in alcohol-associated hepatitis (AH) but could underestimate severity in women and malnourished patients. Using a global cohort, we assessed the ability of the MELD 3.0 score to predict short-term mortality in AH. Methods: This was a retrospective cohort study of patients admitted to hospital with AH from 2009 to 2019. The main outcome was all-cause 30-day mortality. We compared the AUC using DeLong's method and also performed a time-dependent AUC with competing risks analysis. Results: A total of 2,124 patients were included from 28 centres from 10 countries on three continents (median age 47.2 ± 11.2 years, 29.9% women, 71.3% with underlying cirrhosis). The median MELD 3.0 score at admission was 25 (20–33), with an estimated survival of 73.7% at 30 days. The MELD 3.0 score had a better performance in predicting 30-day mortality (AUC:0.761, 95%CI:0.732–0.791) compared with MELD sodium (MELD-Na; AUC: 0.744, 95% CI: 0.713–0.775; p = 0.042) and Maddrey's discriminant function (mDF) (AUC: 0.724, 95% CI: 0.691–0.757; p = 0.013). However, MELD 3.0 did not perform better than traditional MELD (AUC: 0.753, 95% CI: 0.723–0.783; p = 0.300) and Age-Bilirubin-International Normalised Ratio-Creatinine (ABIC) (AUC:0.757, 95% CI: 0.727–0.788; p = 0.765). These results were consistent in competing-risk analysis, where MELD 3.0 (AUC: 0.757, 95% CI: 0.724–0.790) predicted better 30-day mortality compared with MELD-Na (AUC: 0.739, 95% CI: 0.708–0.770; p = 0.028) and mDF (AUC:0.717, 95% CI: 0.687–0.748; p = 0.042). The MELD 3.0 score was significantly better in predicting renal replacement therapy requirements during admission compared with the other scores (AUC: 0.844, 95% CI: 0.805–0.883). Conclusions: MELD 3.0 demonstrated better performance compared with MELD-Na and mDF in predicting 30-day and 90-day mortality, and was the best predictor of renal replacement therapy requirements during admission for AH. However, further prospective studies are needed to validate its extensive use in AH. Impact and implications: Severe AH has high short-term mortality. The establishment of treatments and liver transplantation depends on mortality prediction. We evaluated the performance of the new MELD 3.0 score to predict short-term mortality in AH in a large global cohort. MELD 3.0 performed better in predicting 30- and 90-day mortality compared with MELD-Na and mDF, but was similar to MELD and ABIC scores. MELD 3.0 was the best predictor of renal replacement therapy requirements. Thus, further prospective studies are needed to support the wide use of MELD 3.0 in AH.