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. 2019 Apr 8;70(5):917–924. doi: 10.1093/cid/ciz289

Table 3.

Multivariable Logistic Regression Model Predicting Hearing Loss

Predictors Adjusted OR (95% CI) P Value
Age (years) 1.04 (1.01–1.08) .014
BMI (kg/m2)
 <18.5 1 (Reference)
 18.5–24.9 0.38 (0.18–0.82) .014
 ≥25 0.28 (0.09–0.87) .028
Standardized weekly AG dose (mg/kg/week)
 <60 1 (Reference)
 60–74.9 0.66 (0.26–1.69) .386
 ≥75 1.31 (0.52–3.33) .569
HIV status and CD4 count (cells/mm3)
 HIV negative 1 (Reference)
 HIV positive with CD4 ≥200 1.69 (0.68–4.22) .261
 HIV positive with CD4 <200 2.02 (0.82–5.01) .127
Serum albumin (g/L) 1.02 (0.97–1.08) .486
Pre-existing composite hearing lossa 1.17 (0.55–2.46) .685
Full model: log odds of hearing loss = 0.045 (age) – 0.96 (BMI: 18.5–24.9) – 1.27 (BMI: ≥25) – 0.41 (weekly AG dose: 60–74.9) + 0.27 (weekly AG dose: ≥75) + 0.53 (HIV+ with CD4 ≥200) + 0.71 (HIV+ with CD4 <200) + 0.02 (serum albumin) + 0.15 (pre-existing composite hearing loss) – 1.61.

Abbreviations: AG, aminoglycoside; BMI, body mass index; CD4, cluster of differentiation 4; CI, confidence interval; HIV, human immunodeficiency virus; OR, odds ratio.

aPre-existing composite hearing loss defined as confirmed by either audiometry or self-reported auditory symptoms.