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Patidar, Kavish R.

Mayo Clinic

Methodist Hospital

Citations 1

Machine learning-derived clinical phenotypes of ascites in cirrhosis: A multi-center latent class analysis with external validation
Lai, Jennifer C., Liu, Taryn, Gomez, Miguel E., Simonetto, Douglas A., LEE, SEAN, Lee, Brian P., Allegretti, Andrew S. , Mazumder, Nikhilesh R., Patidar, Kavish R., Verna, Elizabeth C. , Cullaro, Giuseppe , Lai, Jennifer C. , Simonetto, Douglas A. , Lee, Brian P. , Mazumder, Nikhilesh R. , Patidar, Kavish R.

Liver Transplantation | August 6, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/lvt.0000000000000942 Get It

Ascites development in cirrhosis reduces 5-year survival from 80% to 30%, yet substantial heterogeneity exists among patients with comparable ascites severity. This multicenter retrospective cohort study included adult liver transplant candidates with ascites at 4 United States centers (2015–2024). Latent class analysis was performed using 7 clinical variables: ascites grade, bilirubin, albumin, platelet count, estimated glomerular filtration rate, systolic blood pressure, and portal vein thrombosis. The derivation cohort (n=625) from the University of California San Francisco and Columbia University was randomly split 80/20 for model development and internal validation. External validation was performed at the University of Southern California (n=59) and Mayo Clinic (n=93). Primary outcomes were acute kidney injury (AKI) and waitlist mortality over 365 days. Three phenotypes emerged: “CKD-Metabolic” (30.4%, lowest eGFR 76.5 mL/min/1.73 m 2 ), “Vasodilatory-Synthetic Dysfunction” (38.9%, highest bilirubin 7.03 mg/dL, lowest blood pressure 117.5 mmHg), and “PVT-Intermediate” (30.7%, severe thrombocytopenia 68.1×10 3 /μL, 24.0% PVT). In validation cohorts (n=305), phenotypes demonstrated robust classification (mean posterior probability 0.823–0.855). Vasodilatory-Synthetic Dysfunction showed increased AKI risk versus CKD-Metabolic in derivation (MELD 3.0-adjusted HR 2.95, 95% CI 2.07–4.22, p <0.001) and validation cohorts (HR 3.39, 95% CI 1.93–5.94, p <0.001). Competing risk analysis revealed no mortality differences, but Vasodilatory-Synthetic Dysfunction was associated with higher transplantation rates (validation: HR 1.63, 95% CI 1.19–2.22, p =0.002). Three reproducible clinical phenotypes of ascites were identified with distinct risk profiles. The Vasodilatory-Synthetic Dysfunction phenotype was associated with a 3-fold increase in the risk of AKI that persisted after adjustment for MELD 3.0. No differences in waitlist mortality were observed, likely reflecting effective MELD-based transplant allocation that preferentially removes the highest-acuity patients from the waitlist.