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Evaluating the representativeness and validity of Cosmos as a novel, large-scale, real-world data source for liver transplant research

Alexandra T. Strauss, Kelly Terlizzi, Babak Orandi, Darren Stewart, Allan B. Massie, Tyrus Vong, Vedant S. Jain, Valerie L. Thompson, Mara A. McAdams DeMarco, Eduardo Iturrate, Sommer E. Gentry, Dorry L. Segev, David Axelrod, Michal A. Mankowski, Sunjae Bae

Research output: Contribution to journalArticlepeer-review

Abstract

Liver transplant (LT) recipients experience a wide range of comorbidities, leading to frequent healthcare encounters. Until now, national registries, which have limited exposures and outcomes, and laborious small cohort studies have been the main data sources for LT research. Cosmos database offers electronic health record (EHR)-based insights into LT recipients at the national level with granular data. We evaluated whether Cosmos data is representative of the entire US LT recipient population. Using Cosmos (N=20, 235) and the national Scientific Registry of Transplant Recipients (SRTR) (N=51, 281), we identified adult, first-time LT recipients between July 2016 and December 2022. We compared demographics, clinical data, and mortality across datasets, calculating Kaplan–Meier survival estimates and multivariable Cox regressions. Recipient characteristics were highly comparable (eg, female: Cosmos=36.5% vs. SRTR=36.4%, Black: 6.8% vs. 7.2%; BMI: 28.5 kg/m2 [24.8–32.9] vs. 28.2 [24.6–32.4]). Lab values were similar across cohorts, including MELD (24 [17–30] vs. 23 [16–30]). Transplant indications, donor characteristics, and 5-year survival (Cosmos 83.1% [82.3–83.8] vs. SRTR 80.9% [80.4–81.3]) were similar. The associations of clinical factors with survival were similar across both groups. The Cosmos database demonstrated acceptable generalizability to the general US LT recipient population, which may advance LT research through a better understanding of LT recipients’ experiences and outcomes.

Original languageEnglish (US)
Pages (from-to)419-427
Number of pages9
JournalLiver Transplantation
Volume32
Issue number3
DOIs
StatePublished - Mar 2026

Keywords

  • big data
  • clinical informatics
  • liver transplantation
  • Humans
  • Middle Aged
  • Kaplan-Meier Estimate
  • Information Sources
  • Male
  • Biomedical Research/statistics & numerical data
  • Transplant Recipients/statistics & numerical data
  • Databases, Factual/statistics & numerical data
  • United States/epidemiology
  • Registries/statistics & numerical data
  • End Stage Liver Disease/surgery
  • Female
  • Adult
  • Aged
  • Retrospective Studies
  • Electronic Health Records/statistics & numerical data
  • Liver Transplantation/statistics & numerical data

ASJC Scopus subject areas

  • Surgery
  • Hepatology
  • Transplantation

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