Erica N. Browne

A Randomized Clinical Trial Comparing Methotrexate and Mycophenolate Mofetil for Noninfectious Uveitis

OBJECTIVE To compare the relative effectiveness of methotrexate and mycophenolate mofetil for noninfectious intermediate uveitis, posterior uveitis, or panuveitis. DESIGN Multicenter, block-randomized, observer-masked clinical trial. PARTICIPANTS Eighty patients with noninfectious intermediate, posterior, or panuveitis requiring corticosteroid-sparing therapy at Aravind Eye Hospitals in Madurai and Coimbatore, India. INTERVENTION Patients were randomized to receive 25 mg weekly oral methotrexate or 1 g twice daily oral mycophenolate mofetil and were monitored monthly for 6 months. Oral prednisone and topical corticosteroids were tapered. MAIN OUTCOME MEASURES Masked examiners assessed the primary outcome of treatment success, defined by achieving the following at 5 and 6 months: (1) ≤0.5+ anterior chamber cells, ≤0.5+ vitreous cells, ≤0.5+ vitreous haze and no active retinal/choroidal lesions in both eyes, (2) ≤10 mg of prednisone and ≤2 drops of prednisolone acetate 1% a day, and (3) no declaration of treatment failure because of intolerability or safety. Additional outcomes included time to sustained corticosteroid-sparing control of inflammation, change in best spectacle-corrected visual acuity, resolution of macular edema, adverse events, subgroup analysis by anatomic location, and medication adherence. RESULTS Forty-one patients were randomized to methotrexate and 39 to mycophenolate mofetil. A total of 67 patients (35 methotrexate, 32 mycophenolate mofetil) contributed to the primary outcome. Sixty-nine percent of patients achieved treatment success with methotrexate and 47% with mycophenolate mofetil (P = 0.09). Treatment failure from adverse events or tolerability was not different by treatment arm (P = 0.99). There were no differences between treatment groups in time to corticosteroid-sparing control of inflammation (P = 0.44), change in best spectacle-corrected visual acuity (P = 0.68), or resolution of macular edema (P = 0.31). CONCLUSIONS There was no statistically significant difference in corticosteroid-sparing control of inflammation between patients receiving methotrexate or mycophenolate mofetil. However, there was a 22% difference in treatment success favoring methotrexate.

Association between Smoking and Uveitis: Results from the Pacific Ocular Inflammation Study

PURPOSE To assess whether cigarette smoking is associated with the development of uveitis in a population-based setting. DESIGN Retrospective, population-based, case-control study. PARTICIPANTS Patients aged ≥ 18 years who were seen at a Kaiser Permanente Hawaii clinic between January 1, 2006, and December 31, 2007. Analysis included 100 confirmed incident uveitis cases, 522 randomly selected controls from the general Kaiser Hawaii population, and 528 randomly selected controls from the Kaiser Hawaii ophthalmology clinic. METHODS International Classification of Diseases, 9th revision (ICD-9), diagnosis codes were used to identify possible uveitis cases. A uveitis fellowship-trained ophthalmologist then conducted individual chart review to confirm case status. Multivariate logistic regression models were used to evaluate the association between smoking and uveitis, adjusting for age, sex, race, and socioeconomic status. MAIN OUTCOME MEASURES Development of uveitis. RESULTS Current smokers had a 1.63 (95% confidence interval [CI], 0.88-3.00; P = 0.12) and 2.33 (95% CI, 1.22-4.45; P = 0.01) times greater odds of developing uveitis compared with those who never smoked using the general and ophthalmology control groups, respectively. The association was even stronger with noninfectious uveitis, which yielded odds ratios of 2.10 (95% CI, 1.10-3.99; P = 0.02) and 2.96 (95% CI, 1.52-5.77; P = 0.001) using the general and ophthalmology control groups, respectively. CONCLUSIONS Cigarette smoking is significantly associated with new-onset uveitis within a population-based setting. The association was stronger for noninfectious uveitis. Given the well-established risks of smoking with regard to other inflammatory disorders, these results reaffirm the importance of encouraging patients to avoid or cease smoking.

Distinguishing Features of Ocular Sarcoidosis in an International Cohort of Uveitis Patients

PURPOSE To determine which clinical features distinguish ocular sarcoidosis from other forms of uveitis in an international population and to estimate the sensitivity and specificity of the International Workshop on Ocular Sarcoidosis (IWOS) clinical signs and laboratory tests. DESIGN Multicenter, retrospective medical record review. PARTICIPANTS Eight hundred eighty-four patients with uveitis from 19 centers in 12 countries. METHODS Data collected included suspected cause of uveitis, clinical findings, and laboratory investigations within 6 months of presentation. The IWOS criteria were used to classify patients as having definite (biopsy-proven), presumed (evidence of bilateral hilar lymphadenopathy [BHL] on chest radiograph or CT scan), probable, or possible ocular sarcoidosis. Patients with biopsy positive results or BHL on chest radiograph or CT scan were considered sarcoidosis cases. MAIN OUTCOME MEASURES Sensitivity and specificity of clinical signs and laboratory investigations for diagnosing ocular sarcoidosis. RESULTS Of the 884 uveitis patients, 264 (30%) were suspected to have ocular sarcoidosis. One hundred eighty patients (20%) met the IWOS criteria; 98 were definite (biopsy-proven) disease, 69 presumed disease (BHL), 10 probable disease, and 3 possible disease. Among sarcoidosis cases, the most common clinical signs were bilaterality (86%); snowballs or string of pearls (50%); mutton-fat keratic precipitates, iris nodules, or both (46%); and multiple chorioretinal peripheral lesions (45%). Sixty-two percent of sarcoidosis cases had elevated angiotensin converting enzyme or lysozyme and 5% demonstrated abnormal liver enzyme test results. Of the patients suspected of having sarcoidosis, 97 (37%) did not meet the IWOS criteria. CONCLUSIONS With the exception of BHL, IWOS clinical findings and investigational tests had low sensitivities for diagnosing ocular sarcoidosis. In particular, liver function tests seem to have little usefulness in diagnosing ocular sarcoidosis. Many patients suspected of having sarcoidosis did not fit into the classification system, indicating that the guidelines may need to be reconsidered. Adding novel laboratory tests and using more advanced statistical methods may lead to the development of a more generalizable classification system.

Assessment of the Accuracy of Using ICD-9 Codes to Identify Uveitis, Herpes Zoster Ophthalmicus, Scleritis, and Episcleritis

IMPORTANCE With the increased use of data from electronic medical records for research, it is important to validate International Classification of Diseases, Ninth Revision (ICD-9) codes for their respective diagnoses. OBJECTIVE To assess the accuracy of using ICD-9 codes to identify ocular inflammatory diseases. DESIGN, SETTING, AND PARTICIPANTS Retrospective secondary database analysis. The setting was Kaiser Permanente Hawaii, an integrated managed care consortium that serves approximately 15% of the general Hawaiian population. Participants were patients with ICD-9 diagnosis codes that might be associated with a diagnosis of ocular inflammation seen at Kaiser Permanente Hawaii between January 1, 2006, and December 31, 2007. The data collection and analysis took place from January 2011 to August 2015. MAIN OUTCOMES AND MEASURES The main outcome was the positive predictive value (PPV) of ICD-9 codes for identifying specific types of ocular inflammatory disease. The PPVs were calculated by determining the ratio of the confirmed cases found by medical record review to the total number of cases identified by ICD-9 code. RESULTS Of the 873 patients identified by a comprehensive list of ICD-9 codes for ocular inflammatory diseases, 224 cases were confirmed as uveitis after medical record review. Using a set of uveitis-specific codes and eliminating patients with a history of ocular surgery, the overall PPV for uveitis was 61% (95% CI, 56%-66%). The PPVs for individual uveitis codes ranged from 0% to 100%, and 11 uveitis codes had a PPV exceeding 80%. Herpes zoster ophthalmicus and scleritis/episcleritis ICD-9 codes had PPVs of 91% (95% CI, 86%-95%) and 60% (95% CI, 54%-66%), respectively. CONCLUSIONS AND RELEVANCE Our results suggest that using ICD-9 codes alone to capture uveitis and scleritis/episcleritis diagnoses is not sufficient in the Kaiser Permanente Hawaii healthcare system, although there were specific uveitis codes with high PPVs. However, the electronic medical record can reliably be used to identify herpes zoster ophthalmicus cases. Medical record review, as was done in this study, is recommended to elucidate diagnoses for uveitis and scleritis/episcleritis.

A Bayesian Analysis of a Randomized Clinical Trial Comparing Antimetabolite Therapies for Non-Infectious Uveitis.

ABSTRACT Purpose: To conduct a Bayesian analysis of a randomized clinical trial (RCT) for non-infectious uveitis using expert opinion as a subjective prior belief. Methods: A RCT was conducted to determine which antimetabolite, methotrexate or mycophenolate mofetil, is more effective as an initial corticosteroid-sparing agent for the treatment of intermediate, posterior, and pan-uveitis. Before the release of trial results, expert opinion on the relative effectiveness of these two medications was collected via online survey. Members of the American Uveitis Society executive committee were invited to provide an estimate for the relative decrease in efficacy with a 95% credible interval (CrI). A prior probability distribution was created from experts’ estimates. A Bayesian analysis was performed using the constructed expert prior probability distribution and the trial’s primary outcome. Results: A total of 11 of the 12 invited uveitis specialists provided estimates. Eight of 11 experts (73%) believed mycophenolate mofetil is more effective. The group prior belief was that the odds of treatment success for patients taking mycophenolate mofetil were 1.4-fold the odds of those taking methotrexate (95% CrI 0.03–45.0). The odds of treatment success with mycophenolate mofetil compared to methotrexate was 0.4 from the RCT (95% confidence interval 0.1–1.2) and 0.7 (95% CrI 0.2–1.7) from the Bayesian analysis. Conclusions: A Bayesian analysis combining expert belief with the trial’s result did not indicate preference for one drug. However, the wide credible interval leaves open the possibility of a substantial treatment effect. This suggests clinical equipoise necessary to allow a larger, more definitive RCT.