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Evaluating the effect of kidney volume on decline in renal function using the generalized propensity score

Li, Yaming (2017) Evaluating the effect of kidney volume on decline in renal function using the generalized propensity score. Master's Thesis, University of Pittsburgh.

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Abstract

Autosomal-dominant polycystic kidney disease (ADPKD) is characterized by gradual renal enlargement and cyst growth prior to the loss of renal function. The Consortium for Radiologic Imaging Studies in Polycystic Kidney Disease (CRISP) is a longitudinal observational study ADPKD individuals using high-resolution magnetic resonance (MR) imaging to determine if a change in renal and cyst volumes can be detected over a short period of time, and if they correlate with a decline in renal function early in the disease. The aim of this study was to determine if height-adjusted total kidney volume (htTKV) had a causal effect on renal decline in the CRISP cohort by using a method for causal inference, namely the generalized propensity score (GPS) method, which is a generalization of the more common propensity score methods (applicable to binary treatments or exposures) for continuous data. Results provide further evidence that baseline htTKV may have a causal effect on subsequent renal function (measured at least a decade later). The study did however have limitations, as we could only consider limited factors available at birth to construct the GPS (and thus preserve temporal associations).
This study has a high degree of public health significance given the high incidence and cost of chronic kidney disease (CKD) and end stage renal disease (ESRD). CKD is identified as a major public health concern requiring intervention, as nearly 20 million people are estimated to have CKD. ESRD also introduces a significant burden on patient, health care, and societal costs. Finding biomarkers that identify cases earlier are critical to reducing the disease burden.


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Details

Item Type: University of Pittsburgh ETD
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Li, Yamingyal94@pitt.eduyal940000-0002-4420-4764
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairLandsittel, Douglasdpl12@pitt.edudpl12
Committee MemberMarsh, Garygmarsh@pitt.edugmarsh
Committee MemberYouk, Adaayouk@pitt.eduayouk
Date: 1 May 2017
Defense Date: 12 June 2017
Approval Date: 31 August 2017
Submission Date: 25 May 2017
Access Restriction: 3 year -- Restrict access to University of Pittsburgh for a period of 3 years.
Number of Pages: 40
Institution: University of Pittsburgh
Schools and Programs: Graduate School of Public Health > Biostatistics
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Autosomal-dominant polycystic kidney disease; height-adjusted total kidney volume; generalized propensity score
Date Deposited: 31 Aug 2017 13:35
Last Modified: 31 Aug 2017 13:35
URI: http://d-scholarship.pitt.edu/id/eprint/32168

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