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

Chih Wei Huang, Shabbir Syed-Abdul, Wen Shan Jian, Usman Iqbal, Phung Anh Nguyen, Peisan Lee, Shen Hsien Lin, Wen Ding Hsu, Mai Szu Wu, Chun Fu Wang, Kwan-Liu Ma, Yu Chuan Li

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)290-298
Number of pages9
JournalJournal of the American Medical Informatics Association
Volume22
Issue number2
DOIs
StatePublished - Mar 1 2015

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Taiwan
Chronic Renal Insufficiency
Cohort Studies
Comorbidity
National Health Programs
Renal Dialysis
Transplantation
Databases
Population

Keywords

  • CKD polymorbidity visualization
  • CKD Sankey diagram
  • Comorbidity visualization
  • Data visualization
  • Visualize analytic

ASJC Scopus subject areas

  • Health Informatics

Cite this

A novel tool for visualizing chronic kidney disease associated polymorbidity : A 13-year cohort study in Taiwan. / Huang, Chih Wei; Syed-Abdul, Shabbir; Jian, Wen Shan; Iqbal, Usman; Nguyen, Phung Anh; Lee, Peisan; Lin, Shen Hsien; Hsu, Wen Ding; Wu, Mai Szu; Wang, Chun Fu; Ma, Kwan-Liu; Li, Yu Chuan.

In: Journal of the American Medical Informatics Association, Vol. 22, No. 2, 01.03.2015, p. 290-298.

Research output: Contribution to journalArticle

Huang, CW, Syed-Abdul, S, Jian, WS, Iqbal, U, Nguyen, PA, Lee, P, Lin, SH, Hsu, WD, Wu, MS, Wang, CF, Ma, K-L & Li, YC 2015, 'A novel tool for visualizing chronic kidney disease associated polymorbidity: A 13-year cohort study in Taiwan', Journal of the American Medical Informatics Association, vol. 22, no. 2, pp. 290-298. https://doi.org/10.1093/jamia/ocu044
Huang, Chih Wei ; Syed-Abdul, Shabbir ; Jian, Wen Shan ; Iqbal, Usman ; Nguyen, Phung Anh ; Lee, Peisan ; Lin, Shen Hsien ; Hsu, Wen Ding ; Wu, Mai Szu ; Wang, Chun Fu ; Ma, Kwan-Liu ; Li, Yu Chuan. / A novel tool for visualizing chronic kidney disease associated polymorbidity : A 13-year cohort study in Taiwan. In: Journal of the American Medical Informatics Association. 2015 ; Vol. 22, No. 2. pp. 290-298.
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AU - Iqbal, Usman

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AU - Hsu, Wen Ding

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AB - 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.

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