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Clinical entities, phenotypes, causation, and endotypes based on selected asthma publications.基于选定哮喘出版物的临床实体、表型、病因及内型。
Proc (Bayl Univ Med Cent). 2020 Jul 27;33(4):580-585. doi: 10.1080/08998280.2020.1793444.
2
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本文引用的文献

1
Multiview Cluster Analysis Identifies Variable Corticosteroid Response Phenotypes in Severe Asthma.多视图聚类分析鉴定重症哮喘中皮质类固醇反应的可变表型。
Am J Respir Crit Care Med. 2019 Jun 1;199(11):1358-1367. doi: 10.1164/rccm.201808-1543OC.
2
Universal etiology, multifactorial diseases and the constitutive model of disease classification.普遍病因、多因素疾病与疾病分类的构成模型
Stud Hist Philos Biol Biomed Sci. 2018 Feb;67:8-15. doi: 10.1016/j.shpsc.2017.11.002. Epub 2017 Dec 6.
3
Phenotype, endotype and patient-specific computational modelling for optimal treatment design in asthma.用于哮喘最佳治疗设计的表型、内型和患者特异性计算建模。
Drug Discov Today Dis Models. 2015 Spring;15:23-27. doi: 10.1016/j.ddmod.2014.02.007. Epub 2014 Apr 29.
4
Airway molecular endotypes of asthma: dissecting the heterogeneity.哮喘的气道分子内型:剖析其异质性。
Curr Opin Allergy Clin Immunol. 2015 Apr;15(2):163-8. doi: 10.1097/ACI.0000000000000148.
5
Data-driven asthma endotypes defined from blood biomarker and gene expression data.基于血液生物标志物和基因表达数据定义的数据驱动型哮喘内型。
PLoS One. 2015 Feb 2;10(2):e0117445. doi: 10.1371/journal.pone.0117445. eCollection 2015.
6
Defining adult asthma endotypes by clinical features and patterns of volatile organic compounds in exhaled air.通过临床特征和呼出气体中挥发性有机化合物的模式来定义成人哮喘的内型。
Respir Res. 2014 Nov 28;15(1):136. doi: 10.1186/s12931-014-0136-8.
7
Differentiating asthma phenotypes in young adults through polyclonal cytokine profiles.通过多克隆细胞因子谱区分青年成年人哮喘表型。
Ann Allergy Asthma Immunol. 2014 Jul;113(1):25-30. doi: 10.1016/j.anai.2014.04.013. Epub 2014 May 5.
8
The pharmacogenetics and pharmacogenomics of asthma therapy.哮喘治疗的药物遗传学和药物基因组学。
Pharmacogenomics J. 2011 Dec;11(6):383-92. doi: 10.1038/tpj.2011.46. Epub 2011 Oct 11.
9
Conceptual and methodological issues in epidemiology: An overview.流行病学中的概念和方法学问题:概述。
Prev Med. 2011 Oct;53(4-5):215-6. doi: 10.1016/j.ypmed.2011.09.005. Epub 2011 Sep 14.
10
Asthma endotypes: a new approach to classification of disease entities within the asthma syndrome.哮喘表型:哮喘综合征内疾病单元分类的新方法。
J Allergy Clin Immunol. 2011 Feb;127(2):355-60. doi: 10.1016/j.jaci.2010.11.037.

基于选定哮喘出版物的临床实体、表型、病因及内型。

Clinical entities, phenotypes, causation, and endotypes based on selected asthma publications.

作者信息

Berdine Gilbert, Alexander Robert, Nugent Kenneth

机构信息

Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas.

出版信息

Proc (Bayl Univ Med Cent). 2020 Jul 27;33(4):580-585. doi: 10.1080/08998280.2020.1793444.

DOI:10.1080/08998280.2020.1793444
PMID:33100532
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7549931/
Abstract

Patients with complex chronic disorders, such as asthma, present clinicians with important management problems. The identification of a clinical syndrome usually leads to the diagnosis of the disease entity. The next concern involves classification and a choice as to whether to use a few inclusive categories or multiple exclusive categories. Patients with asthma have multiple clinical syndromes, and these can be described as phenotypes. The use of cluster analysis allows investigators to identify phenotypes with less clinical bias. However, the identification of a particular phenotype does not necessarily provide much insight into the underlying pathogenesis. In asthma, the pathogenetic events are complex and multiple and require a classification based on endotypes. This difficulty introduces the idea of causation and models for causation. Asthma probably does not have a single universal necessary cause. However, it does have multiple sufficient component causes. Understanding these components and their interactions potentially leads to better treatment trials and more focused drug therapy. Clinicians need to identify asthmatic patients and classify them into particular phenotypes; they should also wonder about causation. Clinical investigators need to use these phenotypes to identify more homogenous groups of patients to study the underlying pathogenesis and establish endotypes. Focusing on causation can improve our understanding of disease entities, disease classification, and disease causation. This review outlines ideas relevant to causation in nearly all diseases.

摘要

患有复杂慢性疾病(如哮喘)的患者给临床医生带来了重要的管理难题。临床综合征的识别通常会导向疾病实体的诊断。接下来要考虑的是分类,以及选择使用少数几个包容性类别还是多个排他性类别。哮喘患者有多种临床综合征,这些可被描述为表型。聚类分析的使用使研究人员能够以较少的临床偏倚识别表型。然而,特定表型的识别不一定能深入了解潜在的发病机制。在哮喘中,发病机制复杂且多样,需要基于内型进行分类。这种困难引出了因果关系的概念和因果关系模型。哮喘可能没有单一的普遍必要病因。然而,它确实有多个充分的组成病因。了解这些组成部分及其相互作用可能会带来更好的治疗试验和更有针对性的药物治疗。临床医生需要识别哮喘患者并将他们分类到特定的表型中;他们还应该思考因果关系。临床研究人员需要利用这些表型来识别更同质的患者群体,以研究潜在的发病机制并确定内型。关注因果关系可以增进我们对疾病实体、疾病分类和疾病病因的理解。本综述概述了几乎所有疾病中与因果关系相关的观点。