Hostname: page-component-74656f9884-kv2lp Total loading time: 0 Render date: 2026-11-06T07:35:07.315Z Has data issue: false hasContentIssue false

Predictive factors for facial nerve palsy in malignant otitis externa: a TriNetX data analysis

Published online by Cambridge University Press:  06 January 2026

Huseyin Isildak*
Affiliation:
Department of Surgery, Stony Brook Medicine, Stony Brook, NY, USA
Rights & Permissions [Opens in a new window]

Abstract

Background

Malignant otitis externa is a life-threatening infection in which facial nerve palsy is a morbid complication. This TriNetX study identified predictors of facial nerve palsy in malignant otitis externa.

Methods

Retrospective analysis compared malignant otitis externa-only (n = 12 032) versus malignant otitis externa plus facial nerve palsy (n = 719) cohorts for demographics, biochemical markers and co-morbidities using t-tests and odds ratios (p < 0.05).

Results

Male gender (p = 4.65 × 10−15) and Hispanic and/or Latino ethnicity (17.66 vs 13.02 per cent, p = 0.0014) predicted facial nerve palsy. The significant biochemical markers were albumin, blood urea nitrogen (p < 10−18), glucose, erythrocyte sedimentation rate (ESR), creatinine, iron and activated partial thromboplastin time. The key co-morbidities were hypertension (odds ratio = 3.72, p = 6.95 × 10−55), chronic kidney disease (odds ratio = 3.12, p = 1.44 × 10−49), malnutrition (odds ratio = 3.44) and electrolyte imbalances (odds ratio = 2.59). Migraines and/or headaches were non-significant.

Conclusion

Male sex, Hispanic and/or Latino ethnicity, hypoalbuminemia, elevated blood urea nitrogen and/or glucose and/or ESR, and co-morbidities (hypertension, chronic kidney disease, malnutrition) strongly predict facial nerve palsy in malignant otitis externa. Early risk factor management may prevent facial nerve palsy.

Information

Type
Main Article
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of J.L.O. (1984) LIMITED.
Figure 0

Table 1. Comparison of biochemical markers between cohort 1 (MOE only, n = 12 032) and cohort 2 (MOE and FNP, n = 719), listed in order of p values from lowest to highest (most significantly correlated to least)

Figure 1

Table 2. Associations between co-morbidities and FNP in patients with MOE, comparing cohort 1 (MOE only, n = 12 032) and cohort 2 (MOE with FNP, n = 719), listed in order of p values from lowest to highest (most significantly correlated to least)