| Literature DB >> 30235234 |
Harpal S Sandhu1, Joshua Lambert2, Yan Xu2, Henry J Kaplan1.
Abstract
A local immune response has been implicated in the pathogenesis of age-related macular degeneration (AMD), but it is unclear if systemic immunosuppressive/immunomodulatory therapy (IMT) protects against the onset and/or progression of AMD. We performed a retrospective cohort study using a Cox proportional hazards model of two cohorts. Cohort 1 included patients with stage V chronic kidney disease (CKD) status post kidney transplantation, on at least one IMT agent, and older than 50. Cohort 2 included patients with stage IV or V CKD who had not undergone kidney transplantation, were not on IMT, and were older than 50. The main outcomes were hazard ratios of a new diagnosis of dry AMD, wet AMD, or conversion from dry to wet. There were 10,813 patients in cohort 1, and 217,081 patients in cohort 2. After controlling for sex and age, there was no significant difference in the hazard of developing a new diagnosis of dry AMD (HR = 0.95, 95% CI 0.87-1.05, p = 0.32), developing a new diagnosis of wet AMD without any prior diagnosis of dry AMD (HR = 0.85, 95% CI 0.66-1.08, p = 0.18), or converting from dry to wet AMD (HR 1.24, 95% CI 0.94-1.62, p = 0.12). For patients over 70 on mycophenolate mofetil, there was a reduced hazard of converting from dry to wet AMD (HR = 0.92, 95% CI = 0.85-0.99, p = 0.02). In contrast, everolimus had an increased hazard of dry AMD (HR = 2.14, 95% CI 1.24-3.69, p < 0.01). Most systemic IMT does not affect the risk of onset or progression of AMD in patients with CKD. However, mycophenolate mofetil may confer some degree of protection against the conversion of dry AMD to wet AMD, suggesting that modulation of the immune response may prevent progression of the disease.Entities:
Mesh:
Year: 2018 PMID: 30235234 PMCID: PMC6147423 DOI: 10.1371/journal.pone.0203492
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Diagnoses and corresponding ICD9 codes excluded from this study.
| Diagnosis | ICD9 code |
|---|---|
| Connective tissue diseases | 710.x |
| Rheumatoid arthritis and rheumatoid arthritis variants | 714.x |
| Behcet's disease | 136.1 |
| Anklyosing spondylitis | 720.0 |
| Psoriatic arthritis | 696.0 |
| Systemic vasculitides | 446.x |
| Psoriasis | 696.x |
| Multiple sclerosis | 340 |
| Other demyelinating disorder | 341.x |
| Crohn's disease | 555.x |
| Idiopathic proctocolitis, ulcerative colitis | 556.x |
| Primary biliary cirrhosis, autoimmune hepatitis | 571.x |
| Chronic myelogenous leukemia | 205.1 |
| Myeloproliferative disorders | 238.x |
| Membranoproliferative glomerulonephritis | 581.2 |
| Hereditary retinal dystrophies | 362.7x |
| Sarcoidosis | 135.0 |
Fig 1Flow chart of patients in each cohort after applying exclusion and inclusion criteria.
Baseline characteristics of the study population by cohort.
| Cohort 1 | Cohort 2 | |
|---|---|---|
| Number of patients | 10,813 | 217,081 |
| Mean age (IQR) | 59.4 years (9) | 71.5 years (19) |
| % Female | 36.6% | 44.6% |
Hazard ratios of developing dry AMD, wet AMD without a prior diagnosis of dry, or conversion from dry to wet.
| Hazard Ratio (HR Cohort 1/HR cohort 2) | 95% CI | P value | ||
|---|---|---|---|---|
| Dry | Univariate | 0.98 | 0.90–1.08 | 0.76 |
| Multivariate | 0.95 | 0.87–1.05 | 0.32 | |
| Wet | Univariate | 0.87 | 0.69–1.11 | 0.26 |
| Multivariate | 0.85 | 0.66–1.08 | 0.18 | |
| Dry to Wet | Univariate | 1.17 | 0.91–1.52 | 0.23 |
| Multivariate | 1.24 | 0.94–1.62 | 0.12 |
Hazard ratios of developing dry AMD, wet AMD without prior diagnosis of dry, or conversion from dry to wet by IMT agent in cohort 1 patients.
Results significant at the p = 0.05 level are in bold.
| Total number of patients with a prescription | Hazard Ratios | |||
|---|---|---|---|---|
| Dry AMD (95% CI, p value) | Wet AMD (95% CI, p value) | Conversion from Dry to Wet AMD (95% CI, p value) | ||
| Mycophenolate mofetil | 5539 | 0.92 (0.81–1.05, p = 0.23) | 1.06 (0.79–1.43, p = 0.70) | 1.03 (0.69–1.52, p = 0.90) |
| Azathioprine | 341 | 0.82 (0.48–1.38, p = 0.44) | 1.03 (0.33–3.19, p = 0.96) | 0.56 (0.08–3.97, p = 0.56) |
| Methotrexate | 3 | 0.0001 (0-infinitiy, p = 0.96) | 0.0001 (o-infinity, p = 0.98) | 0.0001 (0-infinity, p = 0.985) |
| Tacrolimus | 6128 | 0.92 (0.81–1.04, p = 0.17) | 0.92 (0.68–1.25, p = 0.60) | 1.25 (0.89–1.76, p = 0.202) |
| Sirolimus | 147 | 0.86 (0.39–1.92, p = 0.72) | 0.87 (0.12–6.16, p = 0.89) | 1.42 (0.20–10.1, p = 0.724) |
| Everolimus | 126 | 2.10 (0.52–8.43, p = 0.29) | 0 (0-infinity, p = 0.98) | |
| Cyclosporine | 871 | 1.07 (0.79–1.44, p = 0.68) | 1.03 (0.49–2.18, p = 0.93) | 0.74 (0.24–2.30, p = 0.60) |
| Belatacept | 5 | 2.75 (0.39–19.5, p = 0.31) | 0.0001 (0-infinitiy, p = 0.98) | 0.0001 (0-infinity, p = 0.99) |
| Prednisone | 8153 | 0.94 (0.84–1.04, p = 0.23) | 0.83 (0.63–1.11, p = 0.21) | 1.24 (0.92–1.68, p = 0.16) |