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Rao, Padaki Nagaraja

https://orcid.org/0000-0003-2983-5768

Mayo Clinic

University of Louisville

Citations 2

An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study
Dunn, Winston , Li, Yanming , Singal, Ashwani K. , Díaz, Luis Antonio , Idalsoaga, Francisco , Ayares, Gustavo , Arnold, Jorge , Ayala-Valverde, María , Pérez, Diego , Gomez, Jaime, Escarate, Rodrigo , Ramírez, Carolina , Morales‐Arráez, Dalia , Qian, Steve , Ahn, Joseph , Buryska, Seth , Mehta, Heer , Dunn, Nicholas , Bumbu, Andreea , Horhat, Adelina , Attar, Bashar, Agrawal, Rohit , Echavaría, Victor , Cuyàs, Berta , Poca, María , Maiwall, Rakhi , Rao, Padaki Nagaraja , Guerra-Salazar, Patricia, Kubánek, Natália , Prado, Verónica , Clemente, Ana , Haider, Tehseen, Chacko, Kristina R. , Romero, Gustavo , Pollarsky, Florencia , Toro, Luis, Yaquich, Pamela, Garrido, María Laura , Dirchwolf, Melisa , Vargas, Vı́ctor , Jiménez, César , García–Tsao, Guadalupe , Ortiz, Guillermo, Kamath, Patrick S. , Shah, Vijay H. , Díaz, Luis A , Idalsoaga, Francisco , Ayares, Gustavo , Arnold, Jorge , Ayala-Valverde, María , Perez, Diego , Ramirez-Cadiz, Carolina , Mehta, Heer , Dunn, Nicholas , Horhat, Adelina , Agrawal, Rohit , Poca, Maria , Soriano, German , Jalal, Prasun K , Kulkarni, Anand V , Skladaný, Lubomir , Pollarsky, Florencia D , Restrepo, Juan C , Mendizabal, Manuel , Marciano, Sebastián , Dirchwolf, Melisa , Vargas, Victor , Jiménez, César , Arrese, Marco , Bataller, Ramon A , Ahn, Joseph C , Singal, Ashwani K , Cuyas, Berta , Dunn, Winston , Simonetto, Douglas A. , Fuentes–López, Eduardo , Zhang, Wei , Waleed, Muhammad Hasnain , Ştefănescu, Horia , Cabezas, Joaquín , Sarin, Shiv Kumar , Jalal, Prasun K. , Tijera, Fatima Higuera‐de la , Kulkarni, Anand V. , Rincón, Diego , Hudson, David, Ortiz, Guillermo, Abraldeṣ, Juan G. , Arrese, Marco , Arab, Juan Pablo

Hepatology | April 12, 2024 | Volume: 80 | Issue: 5 | Pages: 1196-1211

10.1097/hep.0000000000000883 Get It

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/.
Terlipressin has stood the test of time: Clinical overview in 2020 and future perspectives
Kulkarni, Anand V. , Arab, Juan Pablo , Premkumar, Madhumita , Benítez, Carlos , Ravikumar, Sowmya Tirumalige, Kumar, Pramod , Sharma, Mithun , Reddy, D. Nageshwar , Simonetto, Douglas A. , Rao, Padaki Nagaraja , Arab, Juan P , Simonetto, Douglas A , Kulkarni, Anand V , Premkumar, Madhumita , Ravikumar, Sowmya Tirumalige

Liver International | October 16, 2020 | Volume: 40 | Issue: 12 | Pages: 2888-2905

10.1111/liv.14703 Get It

AbstractVasoactive drugs form the mainstay of therapy for two of the most important complications of liver disease: hepatorenal syndrome (HRS) and acute variceal bleed (AVB). With cumulative evidence supporting the use in cirrhosis, terlipressin has been recommended for the management of HRS and AVB. However, owing to the safety concerns, terlipressin was not approved by food and drug administration (FDA) until now. In this review, we discuss the pharmacology and the major practice‐changing studies on the safety and efficacy of terlipressin in patients with cirrhosis particularly focusing on existing indications like AVB and HRS and reviewing new data on the expanding indications in liver disease. The references for this review were identified from PUBMED with MeSH terms such as “terlipressin,” “hepatorenal syndrome,” “varices, esophagal and gastric,” “ascites” and “cirrhosis.” Terlipressin, a synthetic analogue of vasopressin, was introduced in 1975 to overcome the adverse effects of vasopressin. Terlipressin is an effective drug for HRS reversal in patients with liver cirrhosis and acute‐on‐chronic liver failure. There is documented mortality benefit with terlipressin therapy in HRS and AVB. Adverse effects are common with terlipressin and need to be monitored strictly. There is some evidence to support the use of this drug in refractory ascites, hepatic hydrothorax, paracentesis‐induced circulatory dysfunction and perioperatively during liver transplantation. However, terlipressin is not yet recommended for such indications. In conclusion, terlipressin has stood the test of time with expanding indications and clear prerequisites for clinical use. Our review warrants a fresh perspective on the efficacy and safety of terlipressin.