A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan

Autor: Yu Chuan J ack Li, Usman Iqbal, Mai Szu Wu, Kwan-Liu Ma, Wen-Shan Jian, Wen Ding Hsu, Peisan Lee, Phung Anh Nguyen, Chih-Wei Huang, Shabbir Syed-Abdul, Shen Hsien Lin, Chun Fu Wang
Rok vydání: 2015
Předmět:
Automated
Pediatrics
medicine.medical_specialty
Time Factors
Kidney Disease
medicine.medical_treatment
Population
Taiwan
Renal and urogenital
Pilot Projects
Health Informatics
Comorbidity
Pattern Recognition
Focus on Visualization
Bioinformatics
Medical and Health Sciences
Pattern Recognition
Automated
Cohort Studies
comorbidity visualization
User-Computer Interface
Engineering
Information and Computing Sciences
Sankey diagram
Humans
data visualization
Medicine
Renal Insufficiency
Renal Insufficiency
Chronic
Chronic
Medical diagnosis
education
education.field_of_study
Audiovisual Aids
business.industry
CKD polymorbidity visualization
medicine.disease
Transplantation
CKD Sankey diagram
National health insurance
Disease Progression
Data Display
visualize analytic
Hemodialysis
business
Medical Informatics
Kidney disease
Cohort study
Zdroj: Journal of the American Medical Informatics Association : JAMIA, vol 22, iss 2
J Am Med Inform Assoc
ISSN: 1527-974X
1067-5027
DOI: 10.1093/jamia/ocu044
Popis: Objective The aim of this study is to analyze and visualize the polymorbidity associated with chronic kidney disease (CKD). The study shows diseases associated with CKD before and after CKD diagnosis in a time-evolutionary type visualization. Materials and Methods Our sample data came from a population of one million individuals randomly selected from the Taiwan National Health Insurance Database, 1998 to 2011. From this group, those patients diagnosed with CKD were included in the analysis. We selected 11 of the most common diseases associated with CKD before its diagnosis and followed them until their death or up to 2011. We used a Sankey-style diagram, which quantifies and visualizes the transition between pre- and post-CKD states with various lines and widths. The line represents groups and the width of a line represents the number of patients transferred from one state to another. Results The patients were grouped according to their states: that is, diagnoses, hemodialysis/transplantation procedures, and events such as death. A Sankey diagram with basic zooming and planning functions was developed that temporally and qualitatively depicts they had amid change of comorbidities occurred in pre- and post-CKD states. Discussion This represents a novel visualization approach for temporal patterns of polymorbidities associated with any complex disease and its outcomes. The Sankey diagram is a promising method for visualizing complex diseases and exploring the effect of comorbidities on outcomes in a time-evolution style. Conclusions This type of visualization may help clinicians foresee possible outcomes of complex diseases by considering comorbidities that the patients have developed.
Databáze: OpenAIRE
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