Departments of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.
Am J Epidemiol. 2012 Sep 1;176(5):396-9. doi: 10.1093/aje/kws214. Epub 2012 Jul 25.
The interaction estimates from Bhavnani et al. (Am J Epidemiol. 2012;176(5):387-395) are used to evaluate evidence for mechanistic interaction between coinfecting pathogens for diarrheal disease. Mechanistic interaction is said to be present if there are individuals for whom the outcome would occur if both of 2 exposures are present but would not occur if 1 or the other of the exposures is absent. In the epidemiologic literature, mechanistic interaction is often conceived of as synergism within Rothman's sufficient-cause framework. Tests for additive interaction are sometimes used to assess such synergism or mechanistic interaction, but testing for positive additive interaction only allows for the conclusion of mechanistic interaction under fairly strong "monotonicity" assumptions. Alternative tests for mechanistic interaction, which do not require monotonicity assumptions, have been developed more recently but require more substantial additive interaction to draw the conclusion of the presence of mechanistic interaction. The additive interaction reported by Bhavnani et al. is of sufficient magnitude to provide strong evidence of mechanistic interaction between rotavirus and Giardia and between rotavirus and Escherichia. coli/Shigellae, even without any assumptions about monotonicity.
Bhavnani 等人的交互作用估计(Am J Epidemiol. 2012;176(5):387-395)用于评估腹泻病中两种病原体共同感染的机制性相互作用的证据。如果存在这样的个体,即如果两种暴露都存在,则结果会发生,但如果只有一种或另一种暴露不存在,则结果不会发生,则可以说存在机制性相互作用。在流行病学文献中,机制性相互作用通常被认为是 Rothman 的充分原因框架内的协同作用。有时会使用加性交互作用检验来评估这种协同作用或机制性相互作用,但检验阳性加性交互作用仅允许在相当强的“单调性”假设下得出存在机制性相互作用的结论。最近开发了一些不需要单调性假设的替代机制性相互作用检验方法,但需要更强的加性相互作用来得出存在机制性相互作用的结论。Bhavnani 等人报告的加性相互作用的幅度足以提供强有力的证据,表明轮状病毒和贾第鞭毛虫以及轮状病毒和大肠杆菌/志贺氏菌之间存在机制性相互作用,即使没有关于单调性的任何假设。