CADS as a Decision-making Tool: Developing an Oculoplastic Management Algorithm for Facial Nerve Palsy

The Cornea, Asymmetry, Dynamic, Synkinesis (CADS) score is a validated grading score for periocular involvement in facial nerve palsy (FNP). The authors conducted a retrospective review of FNP cases, including initial CADS scores and subsequent ophthalmic interventions. The results were used to inform the development of an oculoplastic management algorithm for FNP.

Single-center retrospective cohort study of patients with FNP referred to a tertiary unit between 2016 and 2022. Data collected included demographic data, etiology of FNP, treatment initiated, and CADS grading at each visit. Adult patients with ≥6 months of follow-up were included, and cases were excluded if ocular surface or oculoplastic procedures were performed elsewhere prior to the initial review by the unit.

Of 408 consecutive new patients with FNP, 80 fulfilled inclusion criteria (mean age 57 years, range 21-83 years). Presentations of FNP were unilateral in 98.8% (79/80), with an underlying preganglionic etiology in 75.0% (60/80). At the initial review, surgery was recommended for 61.3% (49/80) of cases. Subgroup analysis of surgical cases for each CADS domain showed 46.9% (23/49) had C-score ≥2, which was predictive of upper lid surgery requirement (e.g., upper lid platinum segment chain; levator recession). About 63.2% (31/49) had an A-score ≥1 which predicted for lower lid surgery requirement (e.g., retractor recession, lower lid sling, medial canthal tendon plication, and lower lid full thickness skin graft) as well as a brow lift. Almost 79.6% (39/49) had a D-score ≥2, which was associated with both upper lid and lower lid surgery requirements. Also, 59.2% (29/49) had an S-score of ≥1 however, this was not associated with the surgical requirement, highlighting a different approach compared with the other CADS domains.

This study represents a large cohort of patients followed up with a validated ophthalmic-specific FNP grading scale. This was utilized to develop a CADS-based management algorithm to help guide decision-making for surgical intervention versus medical management in FNP.