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Published on: August 7, 2017
Relative moldiness index as predictor of childhood respiratory illness
Stephen J Vesper1, Craig McKinstry, Richard A Haugland
1US Environmental Protection Agency, Cincinnati, OH, USA. vesper.stephen@epa.gov
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.
Insights
A new mold assessment method, the Relative Moldiness Index (RMI), accurately predicts infant respiratory illness, unlike traditional visual inspections. This quantitative PCR-based approach offers better risk assessment for mold exposure in homes.
Area of Science:
- Environmental health
- Molecular biology
- Pediatrics
Background:
- Traditional visual mold inspections are common but may lack predictive power for health outcomes.
- Infant respiratory illnesses like wheeze and rhinitis are significant health concerns.
- Accurate assessment of indoor mold exposure is crucial for public health.
Purpose of the Study:
- To compare the predictive value of visual mold inspection with a novel mold evaluation method, the Relative Moldiness Index (RMI), for infant respiratory illness.
- To validate the RMI as a predictor of respiratory conditions in infants.
- To offer a more reliable method for assessing mold-related health risks in homes.
Main Methods:
- Collected floor dust samples from 271 homes with infants.
- Quantified the concentration of 36 mold species using mold-specific quantitative PCR (MSQPCR) to calculate the Relative Moldiness Index (RMI).
- Classified homes based on visual inspection and RMI, then tracked the development of respiratory illness in infants.
Main Results:
- Visual mold inspection was not predictive of infant respiratory illness (P=0.27).
- The RMI, fitted to a logistic function, demonstrated significant predictive value for respiratory illness occurrence.
- The RMI method allows for nuanced risk assessment based on varying levels of moldiness.
Conclusions:
- The Relative Moldiness Index (RMI) offers a superior, quantitative method for predicting infant respiratory illness compared to traditional visual mold inspections.
- This validated RMI approach provides a valuable tool for stakeholders to manage and mitigate mold-related health risks in residential environments.
- Quantitative PCR-based mold assessment holds promise for improving environmental health evaluations and preventative strategies.
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