Importance
Current treatments for cystoid macular edema (CME) in retinitis pigmentosa (RP) are not always effective, may lead to adverse effects, and may not restore visual acuity. The present research lays the rationale for evaluating whether an iodine supplement could reduce CME in RP.
Objective
To determine whether central foveal thickness (CFT) in the presence of CME is related to dietary iodine intake inferred from urinary iodine concentration (UIC) in nonsmoking adults with RP.
Design, Setting, and Participants
We performed a cross-sectional observational study of 212 nonsmoking patients aged 18 to 69 years referred to our institution for RP with visual acuity of no worse than 20/200 in at least 1 eye.
Exposure
Retinitis pigmentosa with or without CME.
Main Outcomes and Measures
With the eye as the unit of analysis, the relationship of log CFT measured by optical coherence tomography to UIC measured from multiple spot samples and represented as a 3-level classification variable (<100, 100-199, and ≥200 µg/L), assigning greater weight to patients with more reliable UIC estimates.
Results
Analyses were limited to 199 patients after excluding 11 who failed to return urine samples for measuring UIC and 2 outliers for UIC. Of the 199 patients, 36.2% had CME in 1 or both eyes. Although log CFT was inversely related to UIC based on findings from all eyes (P = .02), regression of log CFT on UIC separately for eyes with and without CME showed a strong inverse significant relationship for the former group (P < .001) and no significant relationship for the latter group (P = .66) as tested. For the eyes with CME, CFT ranged from a geometric mean of 267 µm for a median UIC of less than 100 µg/L to a geometric mean of 172 µm for a median UIC of 200 µg/L or greater. In contrast, we found no significant association between CME prevalence and UIC based on the entire sample as tested (odds ratio, 1.01 [95% CI, 0.38-2.67]; P = .99).
Conclusions and Relevance
A higher UIC in nonsmoking adults with RP was significantly associated with less central foveal swelling in eyes with CME. Additional study is required to determine whether an iodine supplement can limit or reduce the extent of CME in patients with RP.
Based on optical coherence tomography (OCT), cystoid macular edema (CME) occurs as a complication in more than 25% of patients with retinitis pigmentosa (RP) and may be associated with a reduction in visual acuity.1-3 Cystoid macular edema in RP ranges from small, rare, off-center cysts within the inner nuclear layer to multiple large cysts spanning the retinal layers and including the foveal center.3 Accumulation of fluid within the extracellular space could result from a breakdown of retinal pigment epithelial (RPE) tight junctions or diminished retinal capillary endothelial cell adhesion leading to passive leakage of fluid into the retina or from reduced active transport of fluid out of the retina by an impaired pump.4,5 The RPE is particularly suspect, because dye leakage through the RPE has been observed in RP patients with CME.4,6,7
Treatment with oral or topical carbonic anhydrase inhibitors can increase subretinal fluid resorption and reduce retinal swelling in RP patients with CME.8-11 However, oral carbonic anhydrase inhibitors can lead to systemic adverse effects that may occasionally include kidney stones or anemia, and oral and topical carbonic anhydrase inhibitors can lead to a rebound of edema after termination of therapy or with sustained use.11,12 Intravitreal injection of corticosteroids has similarly been found to reduce swelling in these eyes13 but with a possible rebound of edema.14 Moreover, patients with advanced CME treated with carbonic anhydrase inhibitors or corticosteroids can show reductions in swelling without commensurate improvements in visual acuity.5,11,13,14 The latter eyes may have already experienced permanent photoreceptor damage or cell loss as a result of the edema.15 Therefore, an alternative, safe, well-tolerated treatment for CME for early intervention would be beneficial to avoid the issue of possible irreversible loss of visual acuity.
With a food frequency questionnaire16,17 administered to nonsmoking adult patients with RP (n = 316), we identified CME by OCT in 11.9% taking potassium iodide, 150 µg/d (the adult recommended daily allowance), in a multivitamin supplement or less often vs 31.9% not taking the potassium iodide supplement; this difference was statistically significant (M.A.S.; unpublished observation; October 2008 [P = .001]). Moreover, 2 studies18,19 reported that iodine improved cell-cell adhesion by increasing the transendothelial resistance of leaky human endothelial cell tight junctions18 and the transepithelial resistance of leaky human epithelial breast cancer cells.19 These data raise the possibility that iodine supplementation might impede the development of retinal edema caused by a leaky RPE.
However, taking or not taking an iodine supplement may not represent total dietary intake of iodine. Because (1) dietary iodine is absorbed with 92% bioavailability,20 (2) 90% of ingested iodine is excreted in the urine within 24 hours,21 and (3) dietary iodine intake is significantly correlated with urinary excretion of iodine,22,23 urinary iodine concentration (UIC) is considered to be a good monitor of recent iodine intake. We therefore decided to conduct a new observational study to assess whether the degree of CME among nonsmoking adults with RP was related to their UIC.
The protocol for this study was approved by the institutional review board of the Massachusetts Eye and Ear Infirmary and conformed to the tenets of the Declaration of Helsinki and to regulations of the Health Insurance Portability and Accountability Act. Written informed consent was obtained from the patients after explanation of the nature and possible consequences of the study.
We excluded patients with a best-corrected Snellen visual acuity of worse than 20/200 in both eyes, because the presence of maculopathy might confound the appearance of CME. Although a previous investigation3 had reported that CME in RP was not significantly related to aphakia/pseudophakia, as a precaution we excluded patients who had undergone cataract surgery within the past year. We excluded patients who were currently smoking, because the inverse relationship between CME risk and iodine supplementation in the previous analysis was based on nonsmoking patients. We also excluded patients who were taking levothyroxine sodium (for hypothyroidism) or amiodarone hydrochloride (for cardiac arrhythmia) and individuals who had received iodinated radiographic contrast within the previous 6 months—because these patients would markedly skew the distribution of iodine intake—and patients with gastrointestinal malabsorption owing to prior bowel resection, a history of Crohn disease, or a history of inflammatory bowel disease.
We enrolled 212 patients with typical RP and a corrected visual acuity of 20/200 or better in at least 1 eye. Eleven of these patients (5.2%) failed to send in multiple spot urine samples for measuring UIC after their examination, leaving 201 patients (101 men and 100 women aged 18-69 years) with complete data. Our cohort consisted of 41 patients with dominant disease, 151 with autosomal recessive or sporadic disease, 6 with X-linked disease, and 3 with undetermined inheritance.
Total dietary intake of iodine was estimated from urine samples collected at home. Because UIC from spot samples is the recommended indicator for population assessment24 and because the day-to-day variation in UIC is considerable,23 patients were provided with a custom mail-in kit and asked to collect multiple (preferably, 10) spot urine samples during consecutive days for us to derive a better estimate of long-term intake than we could using single spot urine samples or a single 24-hour urine sample.20,25 Containers included labels for patients to record the date and time of each sample. The cohort provided a mean of 9.8 (range, 2-10) iodine samples/patient obtained during a mean of 6.1 (median, 4) days.
The urine samples were stored at −80°C before iodine analysis. The UIC from each spot sample was measured at least twice by a modification of the Benotti method.26 If the initial 2 measurements were not within 15% of each other, a third or a fourth measurement was obtained and the mean of all measurements reported. The interassay coefficient of variation ranges from 2.7% to 7.0%. The cohort was iodine sufficient by World Health Organization standards,27 with an overall median UIC of 143 µg/L. However, we noted that 55 of these patients (27.4%) had a median UIC of less than 100 µg/L, suggesting possible iodine intake of less than the recommended daily allowance of 150 µg/d.
The distribution of median UIC was positively skewed (skewness, 9.22), and UIC values were converted to natural logarithms to better approximate a normal distribution. Two patients with median UIC values of 2272 and 3470 µg/L that reflect dietary intake above the upper tolerable limit for adults of 1100 µg/d28 were found to be outliers by the extreme Studentized deviate test29 and were excluded from further study, leaving 199 patients. The distribution of loge median UIC after removal of the outliers had a skewness of −0.30.
Cystoid macular edema and central foveal thickness (CFT) were coded for eyes with a visual acuity of 20/200 or better and for which the central macula could be visualized adequately by OCT. We used a high-resolution optical coherence tomographer (Stratus model 3000; Carl Zeiss Meditec) to assess retinal structure and measure CFT after pupillary dilation3,30 in 192 of the 199 patients. We recorded twelve 6-mm radial scans spaced in 15° intervals (or, less often, six 6-mm radial scans spaced in 30° intervals). One eye was excluded in each of 23 patients because of a visual acuity of worse than 20/200 (7 cases), a pseudohole (8 cases), or poor imaging (8 cases).
In 33 patients, we recorded tomograms with a high-definition OCT device (Cirrus; Carl Zeiss Meditec); of these, 7 underwent testing on the Cirrus device alone because our Stratus device was unavailable, and 26 underwent testing with both devices to serve as a calibration subset for quantifying CFT (see below). The Cirrus acquisition protocol covered a 6 × 6-mm retinal area with 128 horizontal lines, each consisting of 512 A-scans. The Cirrus files were copied as audio/video interleaved media format movies to a USB drive and ported to a laptop computer (MacBook Pro; Apple) for offline identification of CME and analysis of CFT with publicly available software (ImageJ, version 1.46j; http://imagej.nih.gov/ij).
Cystoid macular edema was defined as ranging from rare discrete vacuoles 50 µm in height at the level of the inner nuclear layer to multiple vacuoles of more than 400 µm in height that distorted the cytoarchitecture.30 Seventy-two of the 199 patients (36.2%) had CME in 1 or both eyes, including 48 bilaterally, 18 unilaterally, and 6 in whom the second eye was not categorized owing to reduced visual acuity or inadequate imaging.
Central foveal thickness was measured as the distance between the high-reflectance vitreoretinal interface and the RPE-choriocapillaris complex30 based on the vertical and horizontal B-scans of the Stratus device or based on the central B-scan of the Cirrus device. The results obtained from the subset of patients who underwent testing on both instruments led to an algorithm for estimating Stratus CFT from Cirrus CFT (r2 = 0.91); this algorithm was used to infer what the Stratus thickness would have been for those 7 patients who underwent testing only on the Cirrus device, so that the latter patients could be included with the other patients in a group assessment of CFT.
The distributions of CFT by eye were positively skewed (skewness, 2.22 OD and 2.18 OS), so CFT values were converted to natural logarithms to better approximate normal distributions. With the eye as the unit of analysis (to use the data from both eyes of patients with unilateral CME), we used commercially available software (PROC MIXED, SAS, version 9.3; SAS Institute Inc) to perform several analyses with loge CFT as the dependent variable. The software program adjusts for the intrasubject correlation between eyes and permits missing values. In model 1, median UIC was the independent class variable representing 3 ranges (<100, 100-199, or ≥200 µg/L) to minimize the effect of any high-leverage values and to allow for a nonlinear relationship between loge CFT and UIC. Model 2 added CME status as a 2-level classification (0 indicated no CME; 1, CME present) and its cross-product with UIC classification as independent variables; the cross-product term allowed us to determine whether the effect of UIC classification depended on CME status. With the cohort divided by CME status, models 3 and 4 used UIC classification as the only independent variable to estimate the relationships for eyes with and without CME, respectively. For models 1 and 3 we performed linear contrasts to compare CFT differences for specific pairs of UIC ranges, reporting Bonferroni corrections to take into account simultaneous multiple comparisons in identifying significant relationships (P < .05).
Patients with RP have been encouraged to consider taking a supplement of vitamin A palmitate and to eat a diet rich in docosahexaenoic acid (DHA) to slow the course of their disease because of results from 3 studies.31-33 Based on a food-frequency questionnaire,34 our patients showed variable amounts of vitamin A and DHA in their diets (including supplements), raising the possibility that 1 or both of these nutrients might confound any significant relationship between CFT and UIC. To test this, we repeated model 3 adjusting for the tertile (0/1/2) of dietary vitamin A or DHA intake as a continuous variable. Last, we used commercially available software (PROC GENMOD, SAS, version 9.3) to perform eye-level logistic regression to test whether the likelihood of CME in the entire cohort depended on UIC classification recoded as a continuous variable to test for trend.
Assessment of the iodine nutrition is more difficult in individuals than in the population, because a substantial amount of diurnal and day-to-day variation exists in an individual’s dietary iodine intake and urinary iodine excretion,23,35 and previous studies have found a high mean within-patient coefficient of variation for UIC.20,25,35,36 Because our distribution of within-patient coefficients of variation had a high mean (59%)37 and substantial variation (Figure 1), we used the weight option in both statistical software programs to weight all analyses presented in the Results section by the normalized inverse-squared within-patient coefficient of variation for UIC to assign greater importance to less variable measurements while controlling for mean level.38 This step proved essential to identifying significant relationships between CFT and UIC.
The loge CFT was inversely related to UIC classification with model 1 (P = .02) (Table). By linear contrasts, the difference in mean loge CFT (geometric mean difference, 24 µm) for UIC of less than 100 vs 100 to 199 µg/L was of borderline significance (P = .08), whereas the corresponding difference (geometric mean difference, 7 µm) for UIC of 100 to 199 vs 200 µg/L or more was not significant (P = .78) after Bonferroni corrections, raising the possibility of a nonlinear trend.
However, when we included CME status and its interaction with UIC classification as independent variables (model 2), we found that the relationship between loge CFT and UIC classification depended on CME status (P < .001 for interaction), which necessitated reanalyzing the data after separating the cohort into eyes with and without CME. For the subset with CME (model 3), loge CFT was now more strongly related to UIC classification (P < .001) than in model 1, ranging from a geometric mean of 267 µm for a median UIC of less than 100 µg/L to a geometric mean of 172 µm for a median UIC of 200 µg/L or greater (Table). By linear contrasts, the difference in mean loge CFT (geometric mean difference, 79 µm) for UIC of less than 100 vs 100 to 199 µg/L was significant (P = .008), whereas the corresponding difference (geometric mean difference, 16 µm) for UIC of 100 to 199 vs 200 µg/L or greater was not significant (P = .76), after applying Bonferroni corrections, consistent with a nonlinear trend. For the subset without CME (model 4), loge CFT was not significantly related to UIC classification (P = .66). Figure 2 illustrates that the decline of geometric mean CFT with increasing UIC among eyes with CME appears exponential, asymptotically approaching the CFT values for the eyes without CME.
With tertile of vitamin A intake added to model 3, loge CFT remained significantly related to UIC (P < .001) and was not significantly related to vitamin A intake (P = .79) among eyes with CME. With the substitution of tertile of DHA intake in model 3, loge CFT remained significantly related to UIC (P = .002) and was not significantly related to DHA intake (P = .30). We found no significant trend between the likelihood of CME based on the entire cohort vs UIC classification (odds ratio, 1.01 [95% CI, 0.38-2.67]; P = .99).
This study found that a higher UIC was associated with a smaller CFT among a cohort of 199 patients with RP, more than a third of whom had CME. However, the relationship was different for eyes with and without CME. Eyes with CME showed a strong inverse relationship, whereas eyes without CME showed no significant relationship as tested. Together these 2 findings suggest that higher UIC in this cohort was specifically associated with a reduced swelling due to CME. Including total vitamin A or DHA intake as a covariate in analyses showed that the relationship of CFT to UIC classification in eyes with CME as tested was not confounded by either nutrient.
In contrast, an analysis of the risk for CME by UIC classification based on the entire cohort showed no significant relationship as tested. This finding suggests that UIC classification had no bearing on the initiation of CME regardless of its extent, and we should look in other directions to predict who will develop cysts. For example, the likelihood of cyst formation in RP may, in part, be governed by genetic regulation, because CME has been reported to be rarest in patients with X-linked disease.3,39
Iodine has been shown to promote tight junctions between epithelial cells,18,19 which could help to block the passage of fluid across the RPE into the neural retina. Laboratory studies in mammals have demonstrated that sodium iodate and potassium iodate have an affinity for the RPE and in sufficient concentrations will damage it. However, at a low concentration injected intravenously in albino and pigmented rabbits, sodium iodate acutely and reversibly enhanced the c wave, which is a physiological measure of RPE integrity.40 Therefore, perhaps higher physiological levels of iodine could promote RPE integrity in RP patients with intraretinal cysts. Iodine might serve a similar role in patients with CME secondary to uveitis, who are thought to have lost integrity of the outer blood-retina barrier and RPE pump,41 or in patients with CME secondary to diabetic retinopathy, given that dysfunction of the outer blood-retina barrier has been observed in patients with diabetes mellitus.42-45
One strength of this study was our use of multiple spot urine samples to estimate total dietary iodine intake; the patients contributed a mean of nearly 10 samples each, obtained during a mean of 6.1 days. This method was preferable to attempting to infer total dietary iodine intake from a food frequency questionnaire, which is subject to self-reporting errors. A second strength was our use of the eye as the unit of analysis while taking into account the correlation between fellow eyes, so that patients with unilateral CME—who constituted 25.0% of our patients with CME—could have data from both their eyes included to increase our power in defining the relationships between CFT and UIC.
Although the observed effect of higher levels of dietary iodine intake was clinically significant in our patients with CME, amounting to a 95-µm geometric mean reduction in CFT, this study was observational and, as such, was not designed to prove that higher levels of dietary iodine intake limited the extent of CME. In particular, we do not know that supplementation with potassium iodide, for example, will reduce central foveal swelling once it has already occurred and, therefore, we are not recommending that RP patients with CME augment their dietary intake of iodine at this time. Instead, these data provide a rationale for considering a prospective randomized trial among RP patients to determine whether iodine supplementation, relative to a control condition, can safely limit or reduce the extent of preexisting CME.
Submitted for Publication: November 20, 2013; final revision received April 4, 2014; accepted April 8, 2014.
Corresponding Author: Michael A. Sandberg, PhD, Berman-Gund Laboratory for the Study of Retinal Degenerations, Massachusetts Eye and Ear Infirmary, 243 Charles St, Boston, MA 02114 (michael_sandberg@meei.harvard.edu).
Published Online: July 3, 2014. doi:10.1001/jamaophthalmol.2014.1726.
Author Contributions: Dr Sandberg had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Sandberg, Pearce, Berson.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: Sandberg, Harper, Berson.
Critical revision of the manuscript for important intellectual content: Sandberg, Pearce, Weigel-DiFranco, Hart, Rosner, Berson.
Statistical analysis: Sandberg, Rosner.
Obtained funding: Sandberg, Berson.
Administrative, technical, or material support: Sandberg, Harper, Weigel-DiFranco.
Study supervision: Sandberg, Berson.
Conflict of Interest Disclosures: Dr Pearce was an expert witness for DuPont regarding development of hypothyroidism after exposure to radioactive iodine from the Hanford Nuclear Reservation and is a consultant to Health Canada regarding thyroidal effects of drinking water nitrate concentrations. No other disclosures were reported.
Funding/Support: This study was supported by grant EY019767 from the National Eye Institute; by the Massachusetts Lions Eye Research Fund, Inc; and by a Center Grant from the Foundation Fighting Blindness.
Role of the Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
1.Adackapara
CA, Sunness
JS, Dibernardo
CW, Melia
BM, Dagnelie
G. Prevalence of cystoid macular edema and stability in OCT retinal thickness in eyes with retinitis pigmentosa during a 48-week lutein trial.
Retina. 2008;28(1):103-110.
PubMedGoogle ScholarCrossref 2.Hajali
M, Fishman
GA, Anderson
RJ. The prevalence of cystoid macular oedema in retinitis pigmentosa patients determined by optical coherence tomography.
Br J Ophthalmol. 2008;92(8):1065-1068.
PubMedGoogle ScholarCrossref 3.Sandberg
MA, Brockhurst
RJ, Gaudio
AR, Berson
EL. Visual acuity is related to parafoveal retinal thickness in patients with retinitis pigmentosa and macular cysts.
Invest Ophthalmol Vis Sci. 2008;49(10):4568-4572.
PubMedGoogle ScholarCrossref 5.Moldow
B, Sander
B, Larsen
M,
et al. The effect of acetazolamide on passive and active transport of fluorescein across the blood-retina barrier in retinitis pigmentosa complicated by macular oedema.
Graefes Arch Clin Exp Ophthalmol. 1998;236(12):881-889.
PubMedGoogle ScholarCrossref 8.Fishman
GA, Gilbert
LD, Fiscella
RG, Kimura
AE, Jampol
LM. Acetazolamide for treatment of chronic macular edema in retinitis pigmentosa.
Arch Ophthalmol. 1989;107(10):1445-1452.
PubMedGoogle ScholarCrossref 9.Orzalesi
N, Pierrottet
C, Porta
A, Aschero
M. Long-term treatment of retinitis pigmentosa with acetazolamide: a pilot study.
Graefes Arch Clin Exp Ophthalmol. 1993;231(5):254-256.
PubMedGoogle ScholarCrossref 10.Chen
JC, Fitzke
FW, Bird
AC. Long-term effect of acetazolamide in a patient with retinitis pigmentosa.
Invest Ophthalmol Vis Sci. 1990;31(9):1914-1918.
PubMedGoogle Scholar 11.Grover
S, Apushkin
MA, Fishman
GA. Topical dorzolamide for the treatment of cystoid macular edema in patients with retinitis pigmentosa.
Am J Ophthalmol. 2006;141(5):850-858.
PubMedGoogle ScholarCrossref 12.Apushkin
MA, Fishman
GA, Grover
S, Janowicz
MJ. Rebound of cystoid macular edema with continued use of acetazolamide in patients with retinitis pigmentosa.
Retina. 2007;27(8):1112-1118.
PubMedGoogle ScholarCrossref 13.Ozdemir
H, Karacorlu
M, Karacorlu
S. Intravitreal triamcinolone acetonide for treatment of cystoid macular oedema in patients with retinitis pigmentosa.
Acta Ophthalmol Scand. 2005;83(2):248-251.
PubMedGoogle ScholarCrossref 14.Scorolli
L, Morara
M, Meduri
A,
et al. Treatment of cystoid macular edema in retinitis pigmentosa with intravitreal triamcinolone.
Arch Ophthalmol. 2007;125(6):759-764.
PubMedGoogle ScholarCrossref 15.Chung
H, Hwang
J-U, Kim
J-G, Yoon
YH. Optical coherence tomography in the diagnosis and monitoring of cystoid macular edema in patients with retinitis pigmentosa.
Retina. 2006;26(8):922-927.
PubMedGoogle ScholarCrossref 16.Willett
WC, Sampson
L, Browne
ML,
et al. The use of a self-administered questionnaire to assess diet four years in the past.
Am J Epidemiol. 1988;127(1):188-199.
PubMedGoogle Scholar 17.Shai
I, Rosner
BA, Shahar
DR,
et al; DEARR Study. Dietary Evaluation and Attenuation of Relative Risk: multiple comparisons between blood and urinary biomarkers, food frequency, and 24-hour recall questionnaires: the DEARR Study.
J Nutr. 2005;135(3):573-579.
PubMedGoogle Scholar 18.Martin
TA, Das
T, Mansel
RE, Jiang
WG. Synergistic regulation of endothelial tight junctions by antioxidant (Se) and polyunsaturated lipid (GLA) via Claudin-5 modulation.
J Cell Biochem. 2006;98(5):1308-1319.
PubMedGoogle ScholarCrossref 19.Martin
TA, Das
T, Mansel
RE, Jiang
WG. Enhanced tight junction function in human breast cancer cells by antioxidant, selenium and polyunsaturated lipid.
J Cell Biochem. 2007;101(1):155-166.
PubMedGoogle ScholarCrossref 20.König
F, Andersson
M, Hotz
K, Aeberli
I, Zimmermann
MB. Ten repeat collections for urinary iodine from spot samples or 24-hour samples are needed to reliably estimate individual iodine status in women.
J Nutr. 2011;141(11):2049-2054.
PubMedGoogle ScholarCrossref 21.Nath
SK, Moinier
B, Thuillier
F, Rongier
M, Desjeux
JF. Urinary excretion of iodide and fluoride from supplemented food grade salt.
Int J Vitam Nutr Res. 1992;62(1):66-72.
PubMedGoogle Scholar 22.Kim
JY, Moon
SJ, Kim
KR, Sohn
CY, Oh
JJ. Dietary iodine intake and urinary iodine excretion in normal Korean adults.
Yonsei Med J. 1998;39(4):355-362.
PubMedGoogle ScholarCrossref 23.Rasmussen
LB, Ovesen
L, Christiansen
E. Day-to-day and within-day variation in urinary iodine excretion.
Eur J Clin Nutr. 1999;53(5):401-407.
PubMedGoogle ScholarCrossref 25.Andersen
S, Karmisholt
J, Pedersen
KM, Laurberg
P. Reliability of studies of iodine intake and recommendations for number of samples in groups and in individuals.
Br J Nutr. 2008;99(4):813-818.
PubMedGoogle ScholarCrossref 26.Benotti
J, Benotti
N, Pino
S, Gardyna
H. Determination of total iodine in urine, stool, diets, and tissue.
Clin Chem. 1965;11(10):932-936.
PubMedGoogle Scholar 27.World Health Organization United Nations Children’s Fund, International Council for the Control of Iodine Deficiency Disorders. Assessment of Iodine Deficiency Disorders and Monitoring Their Elimination.3rd ed. Geneva, Switzerland: WHO; 2007.
28.Food and Nutrition Board, Institute of Medicine. Dietary Reference Intakes. Washington, DC: National Academy Press; 2006:320.
29.Rosner
B. Fundamentals of Biostatistics.5th ed. Boston, MA: Duxbury Press; 2000.
30.Sandberg
MA, Brockhurst
RJ, Gaudio
AR, Berson
EL. The association between visual acuity and central retinal thickness in retinitis pigmentosa.
Invest Ophthalmol Vis Sci. 2005;46(9):3349-3354.
PubMedGoogle ScholarCrossref 31.Berson
EL, Rosner
B, Sandberg
MA,
et al. A randomized trial of vitamin A and vitamin E supplementation for retinitis pigmentosa.
Arch Ophthalmol. 1993;111(6):761-772.
PubMedGoogle ScholarCrossref 32.Berson
EL, Rosner
B, Sandberg
MA,
et al. Further evaluation of docosahexaenoic acid in patients with retinitis pigmentosa receiving vitamin A treatment: subgroup analyses.
Arch Ophthalmol. 2004;122(9):1306-1314.
PubMedGoogle ScholarCrossref 33.Berson
EL, Rosner
B, Sandberg
MA, Weigel-DiFranco
C, Willett
WC. ω-3 Intake and visual acuity in patients with retinitis pigmentosa receiving vitamin A.
Arch Ophthalmol. 2012;130(6):707-711.
PubMedGoogle ScholarCrossref 34.Rimm
EB, Giovannucci
EL, Stampfer
MJ, Colditz
GA, Litin
LB, Willett
WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals.
Am J Epidemiol. 1992;135(10):1114-1136.
PubMedGoogle Scholar 35.Als
C, Helbling
A, Peter
K, Haldimann
M, Zimmerli
B, Gerber
H. Urinary iodine concentration follows a circadian rhythm: a study with 3023 spot urine samples in adults and children.
J Clin Endocrinol Metab. 2000;85(4):1367-1369.
PubMedGoogle Scholar 36.Busnardo
B, Nacamulli
D, Zambonin
L, Mian
C, Piccolo
M, Girelli
ME. Restricted intraindividual urinary iodine concentration variability in nonfasting subjects.
Eur J Clin Nutr. 2006;60(3):421-425.
PubMedGoogle ScholarCrossref 37.Reed
GF, Lynn
F, Meade
BD. Use of coefficient of variation in assessing variability of quantitative assays.
Clin Diagn Lab Immunol. 2002;9(6):1235-1239.
PubMedGoogle Scholar 39.Küchle
M, Nguyen
NX, Martus
P, Freissler
K, Schalnus
R. Aqueous flare in retinitis pigmentosa.
Graefes Arch Clin Exp Ophthalmol. 1998;236(6):426-433.
PubMedGoogle ScholarCrossref 40.Nao-i
N, Kim
SY, Honda
Y. Paradoxical enhancement of the ERG c-wave by a small dose of sodium iodate.
Acta Ophthalmol (Copenh). 1986;64(2):206-211.
PubMedGoogle ScholarCrossref 42.Vinores
SA, Gadegbeku
C, Campochiaro
PA, Green
WR. Immunohistochemical localization of blood-retinal barrier breakdown in human diabetics.
Am J Pathol. 1989;134(2):231-235.
PubMedGoogle Scholar 43.Weinberger
D, Fink-Cohen
S, Gaton
DD, Priel
E, Yassur
Y. Non-retinovascular leakage in diabetic maculopathy.
Br J Ophthalmol. 1995;79(8):728-731.
PubMedGoogle ScholarCrossref 44.Vinores
SA, Derevjanik
NL, Ozaki
H, Okamoto
N, Campochiaro
PA. Cellular mechanisms of blood-retinal barrier dysfunction in macular edema.
Doc Ophthalmol. 1999;97(3-4):217-228.
PubMedGoogle ScholarCrossref 45.Xu
H-Z, Le
Y-Z. Significance of outer blood-retina barrier breakdown in diabetes and ischemia.
Invest Ophthalmol Vis Sci. 2011;52(5):2160-2164.
PubMedGoogle ScholarCrossref