Volume 28, Issue 5 e14816
ORIGINAL ARTICLE

Constructing an Intent-to-Treat Score Index to Predict Survival Outcomes in Pediatric Liver Transplant Recipients

Ashley Montgomery

Corresponding Author

Ashley Montgomery

Department of Student Affairs, Baylor College of Medicine, Houston, Texas, USA

Correspondence:

Ashley Montgomery ([email protected])

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Anna Lang

Anna Lang

Department of Student Affairs, Baylor College of Medicine, Houston, Texas, USA

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Bhavana Kunisetty

Bhavana Kunisetty

Department of Student Affairs, Baylor College of Medicine, Houston, Texas, USA

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Spoorthi Kamepalli

Spoorthi Kamepalli

Department of Student Affairs, Baylor College of Medicine, Houston, Texas, USA

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Jake Lynn

Jake Lynn

Department of Student Affairs, Baylor College of Medicine, Houston, Texas, USA

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Alexandra Alvarez

Alexandra Alvarez

Department of Student Affairs, Baylor College of Medicine, Houston, Texas, USA

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John Goss

John Goss

Division of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA

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Nhu Thao Nguyen Galvan

Nhu Thao Nguyen Galvan

Division of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA

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Abbas Rana

Abbas Rana

Division of Abdominal Transplant, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA

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First published: 24 June 2024
Citations: 1

Funding: This work was supported in part by the Health Resources and Services Administration contract HHSH250-2019-00001C.

ABSTRACT

Background

Waitlist and posttransplant outcomes have been widely reported for pediatric liver transplantation. Yet, analyzing these metrics individually fails to provide a holistic perspective for patients and their families. Intent-to-treat (ITT) analysis fills this gap by studying the associations between waitlist outcomes, organ availability, and posttransplant outcomes. Our study aimed to construct a predictive index utilizing ITT analysis for pediatric liver transplant recipients (Pedi-ITT).

Methods

We performed a retrospective analysis utilizing de-identified data provided by the United Network for Organ Sharing (UNOS) from March 1, 2002, to December 31, 2021. We analyzed data for 12 926 pediatric recipients (age <18). We conducted a univariate and multivariable logistic regression to find the significant predictive factors affecting ITT survival. A scoring index was constructed to stratify outcome risk on the basis of the significant factors identified by regression analysis.

Results

Multivariable analysis found the following factors to be significantly associated with death on the waitlist or after transplant: gender, diagnosis, UNOS region, ascites, diabetes mellitus, age at the time of listing, serum sodium at the time of listing, total bilirubin at the time of listing, serum creatinine at the time of listing, INR at the time of listing, history of ventilator use, and history of re-transplantation. Using receiver operator characteristic analysis, the Pedi-ITT index had a c-statistic of 0.79 (95% confidence interval [CI]: 0.76–0.82). The c-statistics of the Model for End-Stage Liver Disease/Pediatric for End-Stage Liver Disease and pediatric version of the Survival Outcomes Following Liver Transplantation score indices were 0.74 (CI: 0.71–0.76) and 0.69 (CI: 0.66–0.72), respectively.

Conclusions

The Pedi-ITT index provides an additional prognostic model with moderate predictive power to assess outcomes associated with pediatric liver transplantation. Further analysis should focus on increasing the predictive power of the index.

Conflicts of Interest

The authors declare no conflicts of interest.

Data Availability Statement

The data used in this manuscript was from a public database supplied by the Organ Procurement Transplantation Network (OPTN) provided through the United Network for Organ Sharing (UNOS).

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