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. 2018 Dec;159(6):1051-1057.
doi: 10.1177/0194599818803305. Epub 2018 Oct 9.

Geographic and Racial Disparities in Infant Hearing Loss

Affiliations

Geographic and Racial Disparities in Infant Hearing Loss

Paul M Lantos et al. Otolaryngol Head Neck Surg. 2018 Dec.

Abstract

Objective: Approximately 1 to 2 of every 1000 American newborns has hearing loss identified by newborn screening. This study was designed to determine if infant hearing loss is more common in socioeconomically disadvantaged communities.

Study design: In this retrospective study, we analyzed electronic medical record data using geostatistical models.

Setting: Infants were residents of Durham County, North Carolina, born in 2 hospitals of the Duke University Health System. This county includes the city of Durham and surrounding suburban and rural communities.

Subjects and methods: Subjects were hearing-screened newborns, born between 2005 and 2016, whose residential address was in Durham County, North Carolina. This was a retrospective study using medical record data. We used Bayesian regression models with smoothing of coordinate date to identify both spatial and nonspatial predictors of infant hearing loss.

Results: We identified 19,348 infants from Durham County, of whom 675 had failed initial hearing screening and 191 had hearing loss confirmed on follow-up. Hearing loss was significantly associated with minority race (odds ratio [OR], 2.45; 95% confidence interval, 1.97-3.06), as well as lower gestational age and maternal sexually transmitted infections. We identified significant geographic heterogeneity, with a higher probability of hearing loss in poorer urban neighborhoods (local OR range, 0.59-1.39). Neighborhood disadvantage was a significant predictor of hearing loss, as was high local seroprevalence of cytomegalovirus (CMV) among pregnant women.

Conclusions: Urban, low-income neighborhoods have a high prevalence of infant hearing loss compared with more affluent surrounding communities, particularly among minorities. This distribution may be attributable to congenital CMV infection.

Keywords: congenital cytomegalovirus; cytomegalovirus; disparities; epidemiology; geographic information systems; geography; hearing loss; hearing screening; map; newborn; spatial epidemiology.

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Conflict of interest statement

Financial Disclosures

The authors declare that they have no financial relationships or conflicts of interest relevant to this article to disclose.

Figures

Figure 1.
Figure 1.. Effect of individual and maternal predictors of infant hearing loss.
In this Bayesian context a parameter is significant if it does not contain 0 in its 95% credible intervals. Minority race, and maternal history of STI, and lower gestational age were associated with higher risk of hearing loss.
Figure 2.
Figure 2.. Spatial distribution of infant hearing loss.
These maps represent the predicted probability of infant hearing loss in Durham County: (A) unadjusted, (B) adjusted for gestational age, birth weight, NICU admission, maternal parity, and maternal STI, and (C) Adjustment for infant race, in addition to the variables in model B.
Figure 3.
Figure 3.. Neighborhood predictors of infant hearing loss.
(A) The probability of infant hearing loss, here represented as contours, closely coincides with neighborhoods with high ADI values (more disadvantaged). Higher neighborhood ADI is a strong predictor of individual hearing loss. Adjustment for infant race, however, attenuated the influence of ADI on hearing loss. (B) Infant hearing loss is more common in neighborhoods with a high prevalence of CMV among pregnant women. Infant hearing loss is associated with higher numbers of CMV seropositive mothers and with lower numbers of CMV seronegative mothers within 1 km. Adjustment for infant race largely eliminated this effect.

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