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本文引用的文献

1
A study of transportability of an existing smoking status detection module across institutions.一项关于现有吸烟状态检测模块在不同机构间可移植性的研究。
AMIA Annu Symp Proc. 2012;2012:577-86. Epub 2012 Nov 3.
2
Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis.类风湿关节炎的单纯电子健康记录表型识别
AMIA Annu Symp Proc. 2011;2011:189-96. Epub 2011 Oct 22.
3
Validating smoking data from the Veteran's Affairs Health Factors dataset, an electronic data source.验证退伍军人事务健康因素数据集(一个电子数据源)中的吸烟数据。
Nicotine Tob Res. 2011 Dec;13(12):1233-9. doi: 10.1093/ntr/ntr206. Epub 2011 Sep 12.
4
The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies.eMERGE 网络:一个由生物库组成的联盟,与电子病历数据相关联,用于进行基因组研究。
BMC Med Genomics. 2011 Jan 26;4:13. doi: 10.1186/1755-8794-4-13.
5
The "meaningful use" regulation for electronic health records.电子健康记录的“有意义使用”规定。
N Engl J Med. 2010 Aug 5;363(6):501-4. doi: 10.1056/NEJMp1006114. Epub 2010 Jul 13.
6
A systematic review of the International Classification of Diseases criteria for the diagnosis of tobacco dependence.对《国际疾病分类》烟草依赖诊断标准的系统评价。
Addict Behav. 2010 Sep;35(9):805-10. doi: 10.1016/j.addbeh.2010.04.002. Epub 2010 May 21.
7
Prevalence of chronic obstructive pulmonary disease and tobacco use in veterans at Boise Veterans Affairs Medical Center.博伊西退伍军人事务医疗中心退伍军人慢性阻塞性肺疾病和烟草使用的流行情况。
Respir Care. 2010 May;55(5):555-60.
8
Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior.CHRNB3-CHRNA6 和 CYP2A6 上的序列变异影响吸烟行为。
Nat Genet. 2010 May;42(5):448-53. doi: 10.1038/ng.573. Epub 2010 Apr 25.
9
Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record.在电子病历中,多种疾病的基因型-表型关联具有强大的复制能力。
Am J Hum Genet. 2010 Apr 9;86(4):560-72. doi: 10.1016/j.ajhg.2010.03.003. Epub 2010 Apr 1.
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Mayo clinic smoking status classification system: extensions and improvements.梅奥诊所吸烟状况分类系统:扩展与改进
AMIA Annu Symp Proc. 2009 Nov 14;2009:619-23.

ICD-9 烟草使用代码是有效识别吸烟状况的标识。

ICD-9 tobacco use codes are effective identifiers of smoking status.

机构信息

Center for Human Genetics Research, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA.

出版信息

J Am Med Inform Assoc. 2013 Jul-Aug;20(4):652-8. doi: 10.1136/amiajnl-2012-001557. Epub 2013 Feb 9.

DOI:10.1136/amiajnl-2012-001557
PMID:23396545
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3721171/
Abstract

OBJECTIVE

To evaluate the validity of, characterize the usage of, and propose potential research applications for International Classification of Diseases, Ninth Revision (ICD-9) tobacco codes in clinical populations.

MATERIALS AND METHODS

Using data on cancer cases and cancer-free controls from Vanderbilt's biorepository, BioVU, we evaluated the utility of ICD-9 tobacco use codes to identify ever-smokers in general and high smoking prevalence (lung cancer) clinic populations. We assessed potential biases in documentation, and performed temporal analysis relating transitions between smoking codes to smoking cessation attempts. We also examined the suitability of these codes for use in genetic association analyses.

RESULTS

ICD-9 tobacco use codes can identify smokers in a general clinic population (specificity of 1, sensitivity of 0.32), and there is little evidence of documentation bias. Frequency of code transitions between 'current' and 'former' tobacco use was significantly correlated with initial success at smoking cessation (p<0.0001). Finally, code-based smoking status assignment is a comparable covariate to text-based smoking status for genetic association studies.

DISCUSSION

Our results support the use of ICD-9 tobacco use codes for identifying smokers in a clinical population. Furthermore, with some limitations, these codes are suitable for adjustment of smoking status in genetic studies utilizing electronic health records.

CONCLUSIONS

Researchers should not be deterred by the unavailability of full-text records to determine smoking status if they have ICD-9 code histories.

摘要

目的

评估国际疾病分类第 9 版(ICD-9)烟草代码在临床人群中的有效性、描述其使用情况,并提出潜在的研究应用。

材料与方法

利用范德比尔特生物库 BioVU 中癌症病例和非癌症对照的数据,我们评估了 ICD-9 烟草使用代码在一般人群和高吸烟率(肺癌)临床人群中识别既往吸烟者的效用。我们评估了文档记录中的潜在偏差,并进行了时间分析,以评估吸烟代码之间的转换与戒烟尝试之间的关系。我们还检查了这些代码在遗传关联分析中的适用性。

结果

ICD-9 烟草使用代码可识别一般临床人群中的吸烟者(特异性为 1,敏感性为 0.32),且文档记录无明显偏差。“当前”和“既往”烟草使用之间的代码转换频率与初始戒烟成功率显著相关(p<0.0001)。最后,基于代码的吸烟状况分配与基于文本的吸烟状况分配对于遗传关联研究是可比的协变量。

讨论

我们的研究结果支持在临床人群中使用 ICD-9 烟草使用代码来识别吸烟者。此外,这些代码具有一定的局限性,可用于调整基于电子健康记录的遗传研究中的吸烟状况。

结论

如果研究人员有 ICD-9 代码记录,那么他们不应因无法获得全文记录而无法确定吸烟状况。