J Korean Biol Nurs Sci.  2023 May;25(2):131-142. 10.7586/jkbns.23.0007.

Identification of subgroups with poor lipid control among patients with dyslipidemia using decision tree analysis: the Korean National Health and Nutrition Examination Survey from 2019 to 2021

• Kim HS
• Jeong SH

• KMID: 2548283
• DOI: http://doi.org/10.7586/jkbns.23.0007

Abstract

Purpose
The aim of this study was to assess lipid levels and to identify groups with poor lipid control group among patients with dyslipidemia.
Methods
Data from 1,399 Korean patients with dyslipidemia older than 20 years were extracted from the Korea National Health and Nutrition Examination Survey. Complex sample analysis and decision-tree analysis were conducted with using SPSS for Windows version 27.0.
Results
The mean levels of total cholesterol (TC), triglyceride (TG), low density lipoprotein-cholesterol (LDL-C), and high density lipoprotein cholesterol were 211.38±1.15 mg/dL, 306.61±1.15 mg/dL, 118.48±1.08 mg/dL, and 42.39±1.15 mg/dL, respectively. About 61% of participants showed abnormal lipid control. Poor glycemic control groups (TC ≥ 200 mg/dL or TG ≥ 150 mg/dL or LDL-C ≥ 130 mg/dL) were identified through seven different pathways via decision-tree analysis. Poor lipid control groups were categorized based on patients’ characteristics such as gender, age, education, dyslipidemia medication adherence, perception of dyslipidemia, diagnosis of myocardial infarction or angina, diabetes mellitus, perceived health status, relative hand grip strength, hemoglobin A1c, aerobic exercise per week, and walking days per week. Dyslipidemia medication adherence was the most significant predictor of poor lipid control.
Conclusion
The findings demonstrated characteristics that are predictive of poor lipid control and can be used to detect poor lipid control in patients with dyslipidemia.

Keyword

Decision tree; Dyslipidemias; Lipids; Patients; 의사결정나무; 이상지질혈증; 지질; 환자