Association Rules of Comorbidities in Patients Hospitalized for Lung Cancer

Kim Sung-soo
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引用次数: 4

Abstract

Objectives: The purpose of this study is to find out how the accompanying diseases of lung cancer patients are related. Through this, we aim to provide implications for the management of lung cancer patients and the national cancer policy. Methods: The subjects of this study were the Korean National Hospital Discharge in-depth Injury Survey, which was surveyed from 2006 to 2016, and among them, patients with lung cancer were selected. The major variable, comorbidities, were grouped based on the middle classification of the KCD-7 revision. The general characteristics were analyzed by frequency, and χ-test was performed to test the difference in the distribution for the presence of comorbidity. In order to analyze the association rules of comorbidities, the support, confidence, and improvement of the association rules were presented and visualized using the arules package and apriori algorithm of the R program. Results: As a result of the analysis, the proportion of patients with comorbid diseases out of 21,882 discharged patients was 82.86%, and an average of 2.48 ± 2.19 comorbidities was diagnosed. As a result of applying the association rules criteria of support ( > 0.01), confidence ( > 0.1), and lift ( > 1), 33 comorbidity patterns were found. The high association rules were “hypertensive diseases (I10-I15)” and “malignant neoplasms of ill-defined, secondary and unspecified sites (C76-C80)”, “diabetes mellitus (E10-E14)” and “hypertensive diseases (I10-I15)”, “malignant neoplasms of ill-defined, secondary and unspecified sites (C76-C80)” and “diabetes mellitus (E10-E14)”, “influenza and pneumonia (J09-J18)” and “hypertensive diseases (I10-I15)”, and so on. Conclusions: This study provides the rules related to comorbidities of lung cancer patients in Korean. It is used for the diagnosis and treatment of lung cancer patients, and it provides implications for effectively improving cancer policy. Future research on the effect on medical use or treatment results is needed, focusing on major comorbidities.
肺癌住院患者合并症的关联规则
目的:本研究旨在了解癌症患者并发疾病的关系。通过这一点,我们旨在为癌症患者的管理和国家癌症政策提供启示。方法:本研究的受试者为2006年至2016年进行的韩国国立医院出院深度伤害调查,其中选择癌症患者。主要变量,合并症,根据KCD-7修订版的中间分类进行分组。通过频率分析一般特征,并进行χ检验以检验是否存在共病的分布差异。为了分析合并症的关联规则,利用R程序的arules包和apriori算法,给出了关联规则的支持、置信度和改进,并对其进行了可视化。结果:根据分析结果,21882名出院患者中有合并症的患者比例为82.86%,平均诊断出2.48±2.19种合并症。应用支持度(>0.01)、置信度(>0.1)和提升度(>1)的关联规则标准,发现33种共病模式。高度关联规则为“高血压疾病(I10-I15)”和“不明、继发和未指明部位的恶性肿瘤(C76-C80)”、“糖尿病(E10-E14,“流感与肺炎(J09-J18)”和“高血压疾病(I10-I15)”等。结论:本研究提供了韩国肺癌癌症患者合并症的相关规律。用于癌症患者的诊断和治疗,为有效改进癌症政策提供了启示。未来需要对药物使用或治疗结果的影响进行研究,重点关注主要合并症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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