Optical coherence tomography and disease subtype in multiple sclerosis.

OBJECTIVE: To examine retinal nerve fiber layer (RNFL) thickness, macular volumes (MV), and visual acuity in multiple sclerosis (MS) eyes, with and without history of acute optic neuritis (ON). METHODS: RNFL thickness was measured in 326 MS and 94 control eyes using optical coherence tomography (OCT). MV and vision testing were done in a subset of the cohort. MS subtype was classified as relapsing-remitting (RRMS, n = 135), primary progressive (PPMS, n = 12), and secondary progressive (SPMS, n = 16). RESULTS: MS ON eyes had decreased RNFL thickness (84.2 microm) compared to controls (102.7 microm) (p < 0.0001). Unaffected fellow eyes of MS ON eyes (93.9 microm) (p < 0.01) and patients with MS with no history of ON (95.9 microm) (p < 0.05) also had decreased RNFL. RRMS (94.4 microm) (p < 0.001), PPMS (88.9 microm) (p < 0.01), and SPMS (81.8 microm) (p < 0.0001) (adjusted for age and duration of disease) had decreased RNFL compared to controls. There were significant differences in RNFL thickness within quadrants of peripapillary retina comparing relapsing to progressive MS subtypes. MV was decreased in MS ON eyes (6.2 mm(3)) (p < 0.0001) and SPMS subjects (6.2 mm(3)) (p < 0.05) compared to controls (6.8 mm(3)). CONCLUSION: Retinal nerve fiber layer (RNFL) is significantly decreased in multiple sclerosis (MS) optic neuritis (ON) eyes, unaffected fellow eyes of patients with MS ON, and MS eyes not affected by ON in our cohort. Macular volumes (MV) showed a significant decrease in MS ON eyes. Progressive MS cases showed more marked decreases in RNFL and MV than relapsing-remitting MS. OCT is a promising tool to detect subclinical changes in RNFL and MV in patients with MS and should be examined in longitudinal studies as a potential biomarker of retinal pathology in MS.

Retinal nerve fiber layer is associated with brain atrophy in multiple sclerosis.

OBJECTIVE: Optical coherence tomography (OCT) noninvasively quantifies retinal nerve fiber layer (RNFL) thickness. Studies show RNFL thinning in multiple sclerosis (MS), and we assessed its association with brain atrophy. METHODS: RNFL thickness was measured in 40 patients with MS and 15 controls. Brain parenchymal fraction (BPF) and partial brain volumes were estimated from cranial MRI scans using SIENA-X. Multiple linear regression modeling assessed the association between OCT and MRI measures of atrophy. RESULTS: Minimum RNFL thickness and subject age together predict 21% (p = 0.005) of the variance in BPF in all patients with MS and 43% (p = 0.003) of the variance in BPF in the subgroup with relapsing remitting MS (RRMS; n = 20). The partial correlation coefficient between BPF and minimum RNFL thickness, controlling for age, is 0.46 (p = 0.003) in all patients with MS and 0.69 (p = 0.001) in patients with RRMS. These associations are driven by CSF volume but not by gray or white matter volume. There is no significant association of these variables among controls. CONCLUSIONS: In multiple sclerosis (MS), retinal nerve fiber layer thickness is associated with brain parenchymal fraction and CSF volume. These data suggest that quantification of axonal thickness in the retina by optical coherence tomography (OCT) provides concurrent information about MRI brain abnormality in MS. OCT should be examined in longitudinal studies to determine if it could be used as an outcome measure in clinical trials of neuroprotective drugs.

Optimization of the safety and efficacy of interferon beta 1b and azathioprine combination therapy in multiple sclerosis.

We conducted an open-label pilot clinical trial to evaluate the safety and efficacy of adding oral azathioprine to the treatment regimen of 15 multiple sclerosis patients breaking through monotherapy with interferon beta-1b. There were no serious adverse events. Gastrointestinal side effects and leukopenia were the most common adverse events and limited dose escalation. There was a 65% reduction in the number of gadolinium-enhanced magnetic resonance imaging (MRI) lesions on combination therapy compared to the baseline values (P =0.003). A total WBC count less than 4800/mm3 was the best predictor of MRI response.