PNNL

Abstract

This study compared two classification methods to evaluate the mold condition in 271 homes of infants, 144 of which later developed symptoms of respiratory illness. A method using on-site visual mold inspection was compared to another method using a quantitative index of moldiness, calculated from mold specific quantitative PCR (MSQPCR) measurements on the concentration of 36 species of molds in floor dust samples called the EPA relative moldiness index© (ERMI©). The binary classification of homes as either moldy or non-moldy by on-site visual home inspection was not predictive of the development of wheeze and/or rhinitis. The odds-ratio of moldy vs. non-moldy homes to experience respiratory illness was estimated at 1.33 (p=0.27, Fisher’s exact test). Further, this method offers little flexibility in how it may be applied in support of decisions on mold remediation. On the other hand, a method developed and validated in this paper using the ERMI© index fit to a logistic function, can be used to predict the occurrence of illness in homes and allows stake holders to choose among various levels of risk. An example is given where an ERMI© value of -4.29 is used as a threshold for binary classification of homes producing an odds ratio of 2.53 (p=0.003, Fisher’s exact test). The ERMI© based methods presented here provide a new and more flexible platform to support mold remediation decisions.