1. ^aUS Environmental Protection Agency, Cincinnati, OH, USA
2. ^bPacific Northwest National Laboratory, Statistical Sciences, Richland, WA, USA
3. ^cDepartment of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
4. ^dCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
5. ^eDepartment of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA

Correspondence: Stephen J. Vesper, US Environmental Protection Agency, 26 W. M. L. King Drive, Cincinnati, OH, USA. Tel.: +1 513 569 7367. Fax: +1 513 487 2512. E-mail: vesper.stephen@epa.gov

Received 29 March 2006; Accepted 25 August 2006; Published online 11 October 2006.

Abstract

The results of a traditional visual mold inspection were compared to a mold evaluation based on the Relative Moldiness Index (RMI). The RMI is calculated from mold-specific quantitative PCR (MSQPCR) measurements of the concentration of 36 species of molds in floor dust samples. These two prospective mold evaluations were used to classify the mold condition in 271 homes of infants. Later, the development of respiratory illness was measured in the infants living in these homes and the predictive value of each classification system was evaluated.

The binary classification of homes as either moldy or non-moldy by on-site visual home inspection was not predictive of the development of respiratory illness (wheeze and/or rhinitis) (P=0.27). Conversely, a method developed and validated in this paper, using the RMI index fit to a logistic function, can be used to predict the occurrence of illness in homes and allows stake-holders the choice among various levels of risk.