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. 2025 Aug 1;16:1620972. doi: 10.3389/fneur.2025.1620972

Table 5.

Multivariable logistic regression model for HSC-cupula subtype classification.

Variable β OR [95% CI] p value
Age, years −0.21 0.979 [0.932–1.029] 0.410
Sex (male) 0.628 1.874 [0.741–4.738] 0.185
Presence of SSNHL history −21.004 0 [0-] >0.999a
Presence of stroke history 1.369 3.930 [0.405–38.111] 0.238
Presence of NP1 −0.468 0.626 [0.235–1.669] 0.349
Presence of NP2 21.173 1.56 × 109 [0-] >0.999a
Presence of NP3 −0.008 0.992 [0.338–2.916] 0.989
CP value, percentage 0.010 1.010 [0.987–1.034] 0.384

Reference group: HSC-Hcu (coded as 0). aComplete separation occurred for SSNHL (exclusively in HSC-Lcu group) and NP2 (all present in HSC-Hcu group), resulting in non-interpretable estimates. β, regression coefficient; CI, confidence interval; HSC, horizontal semicircular canal; Lcu, light cupula; Hcu, heavy cupula; SSNHL, sudden sensorineural hearing loss; OR, odds ratio; NP, null point; CP, canal paresis.