Donnell, Drew Michael S
(2014)
Dynamic prediction of pre-transplant survival in a multi-center study of pediatric acute liver failure.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Acute liver failure (ALF) is a clinical syndrome characterized by the rapid onset of illness and disruption of critical hepatic processes. The natural history and clinical recognition of ALF in children differs considerably from that observed in adults largely due to both heightened etiologic variation and delayed onset of clinical encephalopathy within the pediatric population. Despite efforts to implement multidisciplinary management strategies and understand optimal timing of orthotopic liver transplantation (OLT), current prognostic models are unreliable and fail to identify high-risk patients. We propose a dynamic prediction model of pre-transplant survival for pediatric patients with ALF, specifically to inform the sequential medical decision making process and consequently improve clinical outcomes. Public Health Significance: Dynamic prediction models are of great interest to clinicians and patients alike, enabling well-informed decisions in light of the unpredictable nature of clinical and pathophysiological systems. Extensions of our model may be utilized to facilitate proper allocation of scarce resources, such as donor organs.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
| Creators | Email | Pitt Username | ORCID  |
|---|
| Donnell, Drew Michael S | dsd21@pitt.edu | DSD21 | |
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| ETD Committee: |
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| Date: |
27 June 2014 |
| Date Type: |
Publication |
| Defense Date: |
25 April 2014 |
| Approval Date: |
27 June 2014 |
| Submission Date: |
5 April 2014 |
| Access Restriction: |
4 year -- Restrict access to University of Pittsburgh for a period of 4 years. |
| Number of Pages: |
197 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Public Health > Biostatistics |
| Degree: |
MS - Master of Science |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
Acute liver failure; dynamic prediction; landmark analysis; liver transplantation; medical decision making; personalized medicine; survival analysis. |
| Date Deposited: |
27 Jun 2014 21:28 |
| Last Modified: |
01 May 2018 05:15 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/20981 |
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