甲状腺功能诊断中潜在干扰药物的计算机监测。

P E Grönroos, K M Irjala, G P Selén, J J Forsström
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引用次数: 9

摘要

目的:已知许多药物会影响实验室检查结果。这可能在解释临床实验室数据方面造成问题,并导致错误诊断、不必要的进一步检查和额外费用。图尔库大学中心医院在实验室试验中开发了一套计算机化的药物潜在效应监测系统。本研究对甲状腺功能诊断中潜在干扰药物效应的发生率和性质进行了研究,以简化该系统的临床实施。方法:将754例甲状腺功能检查住院患者的计算机化用药资料与实验室检查药物效应知识库相结合。检测所有可能影响研究患者血清促甲状腺素或游离甲状腺素水平的药物。结果:40%(735例中有292例)的促甲状腺素检测患者和32%(333例中有107例)的游离甲状腺素检测患者在检测期间接受了可能干扰的药物治疗。最常见的潜在干扰药物是乙酰水杨酸,但每天的剂量通常很低,只有100毫克。结论:潜在干扰药物与甲状腺功能检查的符合性很强。甲状腺功能测试中药物作用的在线提示可能为临床医生提供有价值的决策支持,但需要进一步发展该系统,以将警告的流行率调节到临床最佳水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computerized monitoring of potentially interfering medication in thyroid function diagnostics.

Objective: Many drugs are known to affect the results of laboratory tests. This may cause problems in the interpretation of clinical laboratory data and lead to wrong diagnoses, unnecessary further tests and additional costs. A computerized monitoring system of potential drug effects on laboratory tests was developed in Turku University Central Hospital. In the present study the incidence and nature of potentially interfering drug effects in thyroid function diagnostics was examined in order to ease the clinical implementation of the system.

Methods: Computerized medication data of 754 hospital in-patients whose thyroid function was tested were combined with a knowledge base of drug effects on laboratory tests. All medications that potentially affected the levels of serum thyrotropin or free thyroxin in study patients were detected.

Results: 40% (292 of 735) of the patients tested for thyrotropin and 32% (107 of 333) of the patients tested for free thyroxin received potentially interfering medication during the tests. The most common potentially interfering medication was acetylsalicylic acid, but the daily dose was usually low, 100 mg.

Conclusions: The coincidence of potentially interfering medication and thyroid function tests was substantial. On-line hints of drug effects on thyroid function tests might offer valuable decision support to clinicians, but further development of the system is needed to regulate the prevalence of warnings into a clinically optimal level.

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