| 摘要: |
| 目的:基于数据挖掘技术分析某三甲医院皮肤科1~14 岁特应性皮炎患儿药物使用现状及关联性,为提高临床用药合理
性、探索治疗方案及后续研究提供依据。方法:利用医院电子病历管理平台检索2024 年于皮肤科就诊的1~14 岁特应性皮炎患
儿门诊病历,记录处方信息,建立关联Apriori 算法模型,对药物使用进行关联性分析。结果:共纳入1 317 张门诊处方,中重度
特应性皮炎处方共计428 张(32. 50%)。不同种药物关联规则分析显示,规则“曲安奈德益康唑乳膏→氯雷他定糖浆”在2 种药
物联用中记录最高(支持度35. 53%,置信度46. 03%);规则“曲安奈德益康唑乳膏+氯雷他定糖浆→尿素维E 乳膏”在3 种药物
联用中记录最高(支持度16. 35%,置信度43. 89%)。不同类别药物关联分析显示,规则“外用糖皮质激素→口服抗过敏药(抗
组胺)”在2 类药物联用中记录最高(支持度74. 47%,置信度67. 62%);规则“外用糖皮质激素+外用钙调磷酸酶抑制剂→口服
抗过敏药(抗组胺)”在3 类药物联用中记录最高(支持度23. 41%,置信度66. 33%)。结论:通过高频药物使用关联分析,总结
了我院1~14 岁患儿在治疗特应性皮炎时常用药物及药物联用治疗方案,符合其疾病治疗特点,与临床诊疗指南推荐基本相符,
可为医药专业人员诊疗提供不同方向与路径参考。尚需加强部分药品超说明书药物使用管理,保障患儿用药安全。 |
| 关键词: 数据挖掘 Apriori 算法 特应性皮炎 用药规律 关联分析 |
| DOI：doi:10.13407/j.cnki.jpp.1672-108X.2025.05.007 |
|
| 基金项目:基金项目:安徽省卫生健康科研项目,编号AHWJ2023BAc10009。 |
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| Medication Patterns of Children with Atopic Dermatitis Aged from 1 to 14 Years in a Class Ⅲ Grade AHospital Based on Data Mining |
| Lei Ting, Cheng Yunsheng, Yin Fangxiong, Wang Yuanyuan |
| (The Second Affiliated Hospital of Anhui Medical University,
Hefei 230601, China) |
| Abstract: |
| Objective: To analyze the current situation and correlation of drug use in children with atopic dermatitis aged from 1 to 14
years in Dermatology Department of a Class Ⅲ Grade A hospital based on data mining technology, so as to provide basis for improving
the rationality of clinical medication, exploring the treatment regimen and follow-up study. Methods: The hospital electronic medical
record management platform was used to retrieve the outpatient medical records of children with atopic dermatitis aged from 1 to 14 years
who visited the Outpatient Dermatology Department in 2024, the prescription information was recorded and the Apriori algorithm model
was established to analyze the correlation of drug use. Results: A total of 1,317 outpatient prescriptions were enrolled, and 428
prescriptions (32. 50%) were for moderate to severe atopic dermatitis. Association rule analysis of different drugs showed that the rule
“triamcinolone and econazole cream→loratadine syrup” had the highest record in the combination of two drugs (support 35. 53%,
confidence 46. 02%). The rule “triamcinolone acetonide econazole cream + loratadine syrup→urea vitamin E cream” took the lead
among the triple drug combinations (16. 35% support, 43. 89% confidence). Association analysis of different classes of drugs showed
that the rule “topical glucocorticoids→antihistamines” had the highest record in the combination of two classes of drugs (74. 47%
support, 67. 62% confidence). The rule “topical glucocorticoids + topical calmodulin inhibitors → anti-allergic oral drugs ( antihistamine)”
took the lead among the triple drug combinations (23. 41% support, 66. 33% confidence). Conclusion: Through the
correlation analysis of high frequency drug use, it is concluded that the commonly used drugs and drug combination treatment regimen in
the treatment of atopic dermatitis in children aged from 1 to 14 years in our hospital are in line with the characteristics of the disease
treatment, and are basically consistent with the clinical diagnosis and treatment guidelines, which can provide different directions and
paths for medical professionals. It is still necessary to strengthen the management of off-label drug use of some drugs to ensure the
medication safety of children. |
| Key words: data mining Apriori algorithm atopic dermatitis medication patterns correlation analysis |
