Smartphone Apps to Stratify the Risk of Early Allograft Failure Are Just the Beginning for Next-Generation Outcome Prediction in Transplantation Medicine
- PMID: 34558813
- PMCID: PMC8710782
- DOI: 10.1002/hep4.1755
Smartphone Apps to Stratify the Risk of Early Allograft Failure Are Just the Beginning for Next-Generation Outcome Prediction in Transplantation Medicine
Comment on
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Early Allograft Dysfunction Increases Hospital Associated Costs After Liver Transplantation-A Propensity Score-Matched Analysis.Hepatol Commun. 2020 Dec 5;5(3):526-537. doi: 10.1002/hep4.1651. eCollection 2021 Mar. Hepatol Commun. 2020. PMID: 33681684 Free PMC article.
References
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- Olthoff KM, Kulik L, Samstein B, Kaminski M, Abecassis M, Emond J, et al. Validation of a current definition of early allograft dysfunction in liver transplant recipients and analysis of risk factors. Liver Transpl 2010;16:943‐949. - PubMed
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- Agopian VG, Markovic D, Klintmalm GB, Saracino G, Chapman WC, Vachharajani N, et al. Multicenter validation of the liver graft assessment following transplantation (l‐GrAFT) score for assessment of early allograft dysfunction. J Hepatol 2021;74:881‐892. - PubMed
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- Pettit RW, Corr S, Havelka J, Rana AA. Using artificial intelligence to improve post‐transplant survival predictions. J Am Coll Surg 2020;231:S302‐S303.
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