In screening for distortion product otoacoustic emissions (DPOAEs), what is the typical pass criterion?

In screening for distortion product otoacoustic emissions (DPOAEs), what is the typical pass criterion?

• A. 4/6 DPs for each ear
• B. 6/6 DPs for each ear
• C. 2/4 DPs for each ear
• D. 3/5 DPs for each ear

Answer: (B)

In DPOAE screening, the goal is to verify outer hair cell function across the entire tested frequency range. Distortion products are measured at multiple frequencies across a band, and you want reliable responses at every one of those points to be confident that the cochlea is functioning normally throughout that range. Therefore, the screens are designed so that all tested distortion product frequencies must be present above the noise floor and meet the required criteria. If even one of the six frequency points fails to meet the threshold, the ear is flagged for refer, because a single missing DP could indicate a localized cochlear issue or a measurement inconsistency. Requiring six out of six ensures a conservative, reliable pass across the full frequency band. Some other thresholds that are less strict could allow partial data to pass, which risks missing a real issue or accepting noisy measurements.

In DPOAE screening, the goal is to verify outer hair cell function across the entire tested frequency range. Distortion products are measured at multiple frequencies across a band, and you want reliable responses at every one of those points to be confident that the cochlea is functioning normally throughout that range. Therefore, the screens are designed so that all tested distortion product frequencies must be present above the noise floor and meet the required criteria. If even one of the six frequency points fails to meet the threshold, the ear is flagged for refer, because a single missing DP could indicate a localized cochlear issue or a measurement inconsistency. Requiring six out of six ensures a conservative, reliable pass across the full frequency band. Some other thresholds that are less strict could allow partial data to pass, which risks missing a real issue or accepting noisy measurements.