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The Development of a Comprehensive Clinicopathologic Registry for Glomerular Diseases Using Natural Language
Bryce Barr1,2, Oksana Harasemiw1,2, Ian W Gibson3,4
1Department of Internal Medicine, University of Manitoba, Winnipeg, Canada.
Canadian Journal of Kidney Health and Disease
|June 21, 2023
Summary
A new clinicopathologic registry for glomerular diseases (GN) was created using natural language processing. Infection-related GN showed the highest rates of kidney failure and mortality, highlighting the need for better GN management.
Area of Science:
- Nephrology
- Epidemiology
- Medical Informatics
Background:
- Glomerulonephritis (GN) is a major cause of chronic kidney disease.
- Effective GN management is crucial to reduce patient morbidity.
- Existing patient registries for GN are resource-intensive and may have incomplete data.
Purpose of the Study:
- To establish a comprehensive clinicopathologic registry for all GN patients in Manitoba.
- To utilize natural language processing (NLP) for efficient data extraction from pathology reports.
- To characterize the cohort and analyze outcomes of glomerular diseases.
Main Methods:
- A retrospective, population-based cohort study was conducted in Manitoba.
- Natural language processing (NLP) algorithms extracted data from 2103 native kidney biopsy reports (2002-2019).
- The registry was linked with administrative, clinical, and laboratory data; outcomes (kidney failure, mortality) were analyzed using Kaplan-Meier curves and Cox models.
Main Results:
- The registry included 1292 patients with common glomerular diseases.
- Immunoglobulin A (IgA) nephropathy was the most frequent GN type (28.6%).
- Infection-related GN had the highest kidney failure (70.3%) and mortality (42.3%) rates. Urine albumin-to-creatinine ratio and age predicted kidney failure and mortality, respectively.
Conclusions:
- A comprehensive glomerular disease registry is feasible using NLP data extraction methods.
- This registry enables further epidemiological research in GN.
- Findings highlight infection-related GN as a high-risk condition requiring focused attention.
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