Identification of high probability of SLE development among ITP patients by means of decision-tree model: A nationwide cohort study

Tzu-Hao Li, Yu-Sheng Chang, Chi-Ching Chang, Chang-Youh Tsai

Research output: Contribution to journalArticle

Abstract

Objective: To determine a decision tree model that is an effective as well as less time- and cost-consuming method to identify those with high probability of development of systemic lupus erythematosus (SLE) amongst patients with immune thrombocytopenic purpura (ITP). Methods: We identified ITP patients without previous SLE diagnosis from the National Health Insurance Research Database between 1997 and 2012 and ascertained those who had the diagnosis of SLE during follow up. We also analyzed the symptoms and comorbidities as well as the dose of average oral steroid to derive the decision trees, which classified the ITP patients with different probabilities of development of SLE. Results: A total of 10,265 ITP patients were enrolled, among whom 80 patients developed SLE while following-up. The whole ITP patients were allocated to training group (7,186 patients including 57 with SLE) and testing group (3,079 patients including 23 with SLE); the former was used for derivation of the decision-tree based model and the latter for validation of the previously mentioned model, and provided high sensitivity (78.2%), specificity (99.2%) and negative prediction value (99.8%). To reduce the complexity, we also proposed another models with different complexity parameters (CP). Conclusion: We derived classification decision tree exempt from the necessity of laboratory data and suitable for various clinical scenarios of ITP patients, amongst whom were those with a high probability of SLE development.
Original languageEnglish
Pages (from-to)54-61
Number of pages8
JournalFormosan Journal of Rheumatology
Volume30
Issue number2
DOIs
Publication statusPublished - Dec 1 2016

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Decision Trees
Idiopathic Thrombocytopenic Purpura
Systemic Lupus Erythematosus
Cohort Studies
National Health Programs
Comorbidity
Steroids
Databases
Costs and Cost Analysis
Sensitivity and Specificity

Keywords

  • immune thrombocytopenic purpura
  • systemic lupus erythematosus
  • decision tree

Cite this

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title = "Identification of high probability of SLE development among ITP patients by means of decision-tree model: A nationwide cohort study",
abstract = "Objective: To determine a decision tree model that is an effective as well as less time- and cost-consuming method to identify those with high probability of development of systemic lupus erythematosus (SLE) amongst patients with immune thrombocytopenic purpura (ITP). Methods: We identified ITP patients without previous SLE diagnosis from the National Health Insurance Research Database between 1997 and 2012 and ascertained those who had the diagnosis of SLE during follow up. We also analyzed the symptoms and comorbidities as well as the dose of average oral steroid to derive the decision trees, which classified the ITP patients with different probabilities of development of SLE. Results: A total of 10,265 ITP patients were enrolled, among whom 80 patients developed SLE while following-up. The whole ITP patients were allocated to training group (7,186 patients including 57 with SLE) and testing group (3,079 patients including 23 with SLE); the former was used for derivation of the decision-tree based model and the latter for validation of the previously mentioned model, and provided high sensitivity (78.2{\%}), specificity (99.2{\%}) and negative prediction value (99.8{\%}). To reduce the complexity, we also proposed another models with different complexity parameters (CP). Conclusion: We derived classification decision tree exempt from the necessity of laboratory data and suitable for various clinical scenarios of ITP patients, amongst whom were those with a high probability of SLE development.",
keywords = "immune thrombocytopenic purpura, systemic lupus erythematosus, decision tree, 免疫性血小板缺乏紫斑症, 全身紅斑性狼瘡, 決策樹",
author = "Tzu-Hao Li and Yu-Sheng Chang and Chi-Ching Chang and Chang-Youh Tsai",
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volume = "30",
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T1 - Identification of high probability of SLE development among ITP patients by means of decision-tree model: A nationwide cohort study

AU - Li, Tzu-Hao

AU - Chang, Yu-Sheng

AU - Chang, Chi-Ching

AU - Tsai, Chang-Youh

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Objective: To determine a decision tree model that is an effective as well as less time- and cost-consuming method to identify those with high probability of development of systemic lupus erythematosus (SLE) amongst patients with immune thrombocytopenic purpura (ITP). Methods: We identified ITP patients without previous SLE diagnosis from the National Health Insurance Research Database between 1997 and 2012 and ascertained those who had the diagnosis of SLE during follow up. We also analyzed the symptoms and comorbidities as well as the dose of average oral steroid to derive the decision trees, which classified the ITP patients with different probabilities of development of SLE. Results: A total of 10,265 ITP patients were enrolled, among whom 80 patients developed SLE while following-up. The whole ITP patients were allocated to training group (7,186 patients including 57 with SLE) and testing group (3,079 patients including 23 with SLE); the former was used for derivation of the decision-tree based model and the latter for validation of the previously mentioned model, and provided high sensitivity (78.2%), specificity (99.2%) and negative prediction value (99.8%). To reduce the complexity, we also proposed another models with different complexity parameters (CP). Conclusion: We derived classification decision tree exempt from the necessity of laboratory data and suitable for various clinical scenarios of ITP patients, amongst whom were those with a high probability of SLE development.

AB - Objective: To determine a decision tree model that is an effective as well as less time- and cost-consuming method to identify those with high probability of development of systemic lupus erythematosus (SLE) amongst patients with immune thrombocytopenic purpura (ITP). Methods: We identified ITP patients without previous SLE diagnosis from the National Health Insurance Research Database between 1997 and 2012 and ascertained those who had the diagnosis of SLE during follow up. We also analyzed the symptoms and comorbidities as well as the dose of average oral steroid to derive the decision trees, which classified the ITP patients with different probabilities of development of SLE. Results: A total of 10,265 ITP patients were enrolled, among whom 80 patients developed SLE while following-up. The whole ITP patients were allocated to training group (7,186 patients including 57 with SLE) and testing group (3,079 patients including 23 with SLE); the former was used for derivation of the decision-tree based model and the latter for validation of the previously mentioned model, and provided high sensitivity (78.2%), specificity (99.2%) and negative prediction value (99.8%). To reduce the complexity, we also proposed another models with different complexity parameters (CP). Conclusion: We derived classification decision tree exempt from the necessity of laboratory data and suitable for various clinical scenarios of ITP patients, amongst whom were those with a high probability of SLE development.

KW - immune thrombocytopenic purpura

KW - systemic lupus erythematosus

KW - decision tree

KW - 免疫性血小板缺乏紫斑症

KW - 全身紅斑性狼瘡

KW - 決策樹

U2 - 10.6313/FJR.2016.12

DO - 10.6313/FJR.2016.12

M3 - Article

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EP - 61

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SN - 2075-0374

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ER -