Open Access
Articles  |   October 2021
Increased Systemic C-Reactive Protein Is Associated With Choroidal Thinning in Intermediate Age-Related Macular Degeneration
Author Affiliations & Notes
  • Rachel C. Chen
    UCHealth Sue Anschutz-Rodgers Eye Center, University of Colorado, Aurora, CO, USA
  • Alan G. Palestine
    UCHealth Sue Anschutz-Rodgers Eye Center, University of Colorado, Aurora, CO, USA
  • Anne M. Lynch
    UCHealth Sue Anschutz-Rodgers Eye Center, University of Colorado, Aurora, CO, USA
  • Jennifer L. Patnaik
    UCHealth Sue Anschutz-Rodgers Eye Center, University of Colorado, Aurora, CO, USA
  • Brandie D. Wagner
    UCHealth Sue Anschutz-Rodgers Eye Center, University of Colorado, Aurora, CO, USA
    Department of Biostatistics and Informatics, Colorado School of Public Health, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
  • Marc T. Mathias
    UCHealth Sue Anschutz-Rodgers Eye Center, University of Colorado, Aurora, CO, USA
  • Naresh Mandava
    UCHealth Sue Anschutz-Rodgers Eye Center, University of Colorado, Aurora, CO, USA
  • Correspondence: Alan G. Palestine, UCHealth Sue Anschutz-Rodgers Eye Center, University of Colorado, 1675 Aurora Court, Aurora, CO 80045, USA. e-mail: 
Translational Vision Science & Technology October 2021, Vol.10, 7. doi:
  • Views
  • PDF
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Rachel C. Chen, Alan G. Palestine, Anne M. Lynch, Jennifer L. Patnaik, Brandie D. Wagner, Marc T. Mathias, Naresh Mandava; Increased Systemic C-Reactive Protein Is Associated With Choroidal Thinning in Intermediate Age-Related Macular Degeneration. Trans. Vis. Sci. Tech. 2021;10(12):7.

      Download citation file:

      © ARVO (1962-2015); The Authors (2016-present)

  • Supplements

Purpose: C-reactive protein (CRP) and decreased choroidal thickness (CT) are risk factors for progression to advanced age-related macular degeneration (AMD). We examined the association between systemic levels of CRP and CT in patients with intermediate AMD (iAMD).

Methods: Patients with iAMD in the Colorado AMD Registry were included. Baseline serum samples and multimodal imaging including spectral domain–optical coherence tomography (SD-OCT), fundus photography, and autofluorescence were obtained. Medical and social histories were surveyed. CT was obtained by manual segmentation of OCT images. High-sensitivity CRP levels were quantified in serum samples. Univariate and multivariable linear regression models accounting for the intrasubject correlation of two eyes were fit using log-transformed CT as the outcome.

Results: The study included 213 eyes from 107 patients with a mean age of 76.8 years (SD, 6.8). Median CT was 200.5 µm (range, 86.5–447.0). Median CRP was 1.43 mg/L (range, 0.13–17.10). Higher CRP was associated with decreased CT in the univariate model (P = 0.01). Older age and presence of reticular pseudodrusen (RPD) were associated with decreased CT (P < 0.01), whereas gender, body mass index, and smoking were not associated with CT. Higher CRP remained significantly associated with decreased CT after adjustment for age and RPD (P = 0.01).

Conclusions: Increased CRP may damage the choroid, leading to choroidal thinning and increased risk of progression to advanced AMD. Alternatively, CRP may be a marker for inflammatory events that mediate ocular disease. The results of this study further strengthen the association between inflammation and AMD.

Translational Relevance: Increased CRP is associated with choroidal thinning, a clinical risk factor for AMD.

Age-related macular degeneration (AMD) is a leading cause of irreversible blindness worldwide.1 The pathophysiology underlying development of AMD is multifactorial.2 Previous studies have linked cardiovascular disease and its risk factors, such as cigarette smoking, obesity, and hypertension, to the development and progression of AMD.14 
C-reactive protein (CRP) is an evolutionarily conserved inflammatory marker that has been established as an independent risk factor for cardiovascular disease and AMD.2 Seddon et al.5 found higher levels of CRP in patients with intermediate and advanced AMD compared with normal controls in the Age-Related Eye Disease Study cohort.6 This effect was independent of smoking and body mass index (BMI). In a longitudinal study of an independent cohort, Seddon et al.7 further reported that higher levels of baseline CRP were associated with progression of intermediate AMD to advanced stages. 
The mechanism of the effect of higher CRP on AMD is unclear but may be related to its effects on the choroid. Prior studies have shown that CRP increases vascular resistance in the ophthalmic artery in patients with treatment-naïve exudative AMD.8 Increased levels of monomeric CRP (mCRP), the proinflammatory breakdown product of pentameric CRP, has also been found in the choroidal vessels of donor eyes of patients with AMD.9 Higher levels of mCRP have also been found in donor eyes of patients with the homozygous Y402H single-nucleotide polymorphism in the gene encoding complement factor H, which has been shown to increase risk for AMD.10,11 
Previous studies have identified biomarkers for the progression of AMD on spectral domain–optical coherence tomography (SD-OCT), including morphological type of drusen, height and width of the drusen and the retinal pigment epithelium–drusen complex, presence of pigmentary hyperreflective material in the retina, and subsidence of the outer plexiform layer (OPL) and inner nuclear layer (INL).1215 Several studies have reported decreased choroidal thickness (CT) in patients with early AMD, as well as advanced atrophic and neovascular AMD.1621 In a study by Fan et al.,17 patients with decreased subfoveal CT at baseline were more likely to develop advanced macular atrophy at 18-month follow-up. However, to our knowledge, there have been no studies examining the relationship between CRP and OCT biomarkers in AMD. 
The focus of recent research from our department has been the contribution of systemic inflammation to AMD, and the department has had several works published in this area.2224 In this study, we aimed to examine the relationship between CRP and OCT markers of AMD in a cohort of patients with intermediate AMD (iAMD). 
Materials and Methods
Colorado AMD Registry
The study cohort is a subset of patients with iAMD from the Colorado AMD Registry, which has been previously described in detail.25 In brief, patients with AMD who were seen at the UCHealth Sue Anschutz-Rodgers Eye Center were eligible to be included in the AMD registry. Patients underwent an institutional review board–approved informed consent for review of medical history, collection of blood samples, and multimodal imaging, including color fundus photography (CFP), fundus autofluorescence, near-infrared reflectance, and SD-OCT. Patients with active ocular inflammation or pre-existing severe retinal disease or who required panretinal photocoagulation or anti–vascular endothelial growth factor for indications other than AMD were excluded from the registry. All images were reviewed by two vitreoretinal specialists and then categorized using the classification described by Ferris et al.26 Specifically, iAMD was defined as the presence of at least one large drusen or any AMD-related pigment abnormalities in a setting of multiple medium drusen and a lack of other etiology for pigment abnormalities. Reticular pseudodrusen (RPD), as previously described by other authors, were considered to be present if they were evident on at least two imaging modalities.2731 RPD appear as confluent deep retinal lesions in a ribbon-like network on CFP, as hyporeflectant lesions in a mildly hyperreflectant background on near-infrared reflectance, as hypoautofluorescent lesions in mildly hyperautofluorescent background on fundus autofluorescence, and as hyper-reflective material in the outer retinal layer anterior to the RPE on SD-OCT.2731 Methods for the collection of epidemiological data in this registry are described elsewhere.25 Risk factors included in the dataset were age, gender, family history of AMD, BMI, and smoking. Blood samples were collected at time of imaging. Serum was isolated by allowing the blood to coagulate for 30 minutes to 2 hours. The samples were then centrifuged at 3000 revolutions per minute in a cooled (4°C) centrifuge for 10 minutes. Samples were pipetted into aliquots and stored in a –80°C freezer. 
Study Cohort
Patients included in this iAMD cohort underwent a second imaging review that specifically excluded patients with other retina comorbidities (n = 5) and unilateral RPD (n = 4). Five eyes from this dataset were excluded due to lack of OCT imaging. The final dataset included 107 patients. 
Measurement of CRP
Serum samples collected at the time of image acquisition were assayed for CRP.22,25 High-sensitivity CRP assays were performed using the automated BN II System nephelometer (Siemens Healthineers, Malvern, PA). 
Measurement of CT
SD-OCT images were reviewed by a single reviewer (RCC). A random sample of 20 eyes (9.4%) was reviewed by another grader (NM). Scans for each eye were imported into ImageJ (National Institutes of Health, Bethesda, MD) from HEYEX software. The choroid was manually segmented focusing on the 6 mm centered on the fovea using the “polygon” tool in both horizontal and vertical scans. The outer border of the hyperreflective line of the retinal pigment epithelium–Bruch's membrane and the inner border of the hyporeflective line between choroid and sclera were chosen as the boundaries of the choroid. CT was obtained by dividing the segmented area by 6 mm. Average CT was obtained by averaging measurements from horizontal and vertical scans when both were available. 
Measurement of Qualitative OCT Measures
Qualitative OCT measures associated with progression to advanced AMD were identified from prior literature.1315 OCT measures included C-type conical debris, defined as conical-shaped drusen with at least three focal, well-circumscribed hyperreflective cores within the drusen; subsidence of the OPL and INL layer, defined as focal areas of disruption in the ellipsoid zone and external limiting membrane with increased signal transmission below Bruch's membrane; pigmentary hyperreflective foci in the neurosensory retina that were more reflective than the RPE band; and broad drusenoid pigment epithelial detachment with horizontal width greater than 375 µm (three times the width of large drusen). Qualitative OCT measures were described for each patient as present or absent. 
Statistical Analysis
Descriptive statistics included means and associated standard deviation for normally distributed continuous variables and medians and ranges or interquartile ranges for continuous variables that were not normally distributed. Basic frequencies and percentages were used to summarize categorical variables. Among the 20 records measured by the two graders, the median percent difference between the two graders and the Pearson's correlation coefficient were calculated. We examined the association of CRP with binary variables of qualitative OCT measures using the Wilcoxon rank-sum test. CT and CRP were log base e transformed to reduce skewness. Univariate associations were assessed using a linear regression with generalized estimating equations to account for the intrasubject correlation of having two eyes included in the analysis. Associations between CT and CRP with other potential confounders such as gender, age, BMI, smoking, and RPD were evaluated. Finally, multivariable linear regression was used to assess the relationship between CT and CRP (both natural log transformed), adjusted for significant factors of age and RPD. A sensitivity analysis was also performed in which the CT measures from both eyes of patients were averaged, and only one record was included for each patient. Analyses were performed using SAS 9.4 (SAS Institute, Cary, NC). 
This study included 213 eyes of 107 patients. Table 1 describes characteristics of the cohort. The average age was 76.8 years, and about two-thirds of patients were female. Median CT was 200.5 µm (range, 86.5–447). Measurements between the two graders were very similar, with a median absolute percent difference of 5.5% and a Pearson correlation coefficient of 0.96 (P < 0.0001), indicating excellent correlation. Median CRP was 1.43 mg/L (0.13–17.10). Out of the 107 patients, 39 had bilateral reticular pseudodrusen. 
Table 1.
Characteristics of the Intermediate AMD Cohort (N = 107)
Table 1.
Characteristics of the Intermediate AMD Cohort (N = 107)
There were no associations between CRP and any qualitative OCT biomarker (Table 2). Table 3 describes the relationship between CT and CRP and potential confounders. CT was significantly associated with CRP (parameter estimate ± SE, –0.07 ± 0.03; P = 0.01) (Fig.). This relationship remained and was more highly significant in the sensitivity analysis with only one record per patient and the average CT included in the model (–0.07; P = 0.0002). Age was significantly associated with CT (–0.01 ± 0.004; P < 0.01) but not CRP (P = 0.37). Presence of RPD was associated with CT (–0.16 ± 0.05; P < 0.01), but not with CRP (P = 0.58). Gender, BMI, and smoking were not associated with CT (P > 0.05 for all). C-reactive protein remained significantly associated with CT after adjustment for age and presence of RPD (–0.07 ± 0.03; P = 0.01). Because these data are natural log transformed, this parameter estimate can be interpreted as for every 1% increase in CRP CT decreased by 0.07%. 
Table 2.
Binary OCT Measures and CRP Among the Intermediate AMD Cohort
Table 2.
Binary OCT Measures and CRP Among the Intermediate AMD Cohort
Table 3.
Univariate and Multivariable Associations Between Average CT With CRP and Potential Confounders (N = 213)
Table 3.
Univariate and Multivariable Associations Between Average CT With CRP and Potential Confounders (N = 213)
Plot of average CT (natural log transformed) and CRP (natural log transformed) for both eyes. Parameter estimate of –0.07 (±0.03 SE) of negative association between CT and CRP (P = 0.01).
Plot of average CT (natural log transformed) and CRP (natural log transformed) for both eyes. Parameter estimate of –0.07 (±0.03 SE) of negative association between CT and CRP (P = 0.01).
In this study, we examined the association between CRP, an established risk factor for AMD, and OCT biomarkers previously found to confer higher risk for progression to advanced AMD. To the authors’ knowledge, this is the first study to describe the association between systemic CRP and choroidal thinning on OCT in patients with intermediate AMD. 
CRP is an acute-phase reactant produced by the liver in response to proinflammatory cytokines; it is also a mediator of inflammation.32 In local tissues, systemic pentameric CRP dissociates into its monomeric form, mCRP, which activates the classical complement pathway through its interaction with complement protein C1q.33 It also binds to complement factor H (CFH), which then downregulates the alternative complement pathway.32 Specific CFH polymorphisms, such as the Y402H variant, have been associated with increased risk for AMD.32 The downregulatory effect of CRP is impaired in these at-risk polymorphic CFH variants.32 
Extensive evidence within the cardiovascular disease literature shows that increased CRP contributes to atherogenesis by locally activating the complement pathway, releasing proinflammatory cytokines, promoting endothelial dysfunction, and impeding lipid uptake by macrophages.34 Cardiovascular disease and AMD share multiple proinflammatory risk factors, including smoking, obesity, and lipid levels.5 Therefore, CRP may also function similarly in the pathogenesis of AMD through its effects on localized inflammation. Seddon et al.5 first established increased systemic CRP as a risk factor for intermediate and advanced AMD. In 2005, Seddon et al.7 further found higher baseline CRP as a risk factor for progression of intermediate to advanced AMD. Subsequent studies on CRP in AMD demonstrated that CRP predominantly accumulates in the choroid and RPE. In donor eyes of patients with the high-risk Y402H polymorphism, CRP was found in increased levels in the choroid compared with those with low-risk Y402.11 Follow-up studies similarly demonstrated increased staining of mCRP in the choriocapillaris and Bruch's membrane in patients with the Y402H polymorphism.10 In donor eyes, CFH decreases mCRP-induced upregulation of interleukin-8, with significantly greater effect in non–high-risk CFH variants than in the high-risk Y402H variant.11 mCRP also directly increases choroidal endothelial cell migration and monolayer permeability and upregulates proinflammatory gene expression in human RPE–choroid tissue in vivo, which has previously been implicated in AMD.10,35 Immunostaining of donor eyes of patients with early and wet AMD has shown increased CRP and decreased complement factor H (FH) staining in choroidal vessel walls.9 In all, these findings suggest that CRP-mediated activation of choroidal inflammation plays a role in the development of AMD. 
In acute inflammatory states, such as in acute uveitis flares in lupus, Behçet’s disease, and spondyloarthropathies, CT increases.36 However, in chronic inflammation, chronic ischemia may lead to atrophy and fibrosis, resulting in choroidal thinning.36 A similar process may occur in AMD. Histopathological studies in eyes with AMD have shown reduced submacular large choroidal vessel density compared with controls.37 OCT analyses similarly show a decreased choroidal vascular index (CVI), the proportion of choroid comprised of intraluminal space, in patients with AMD.38 Loss of choriocapillaris under intact RPE predates development of drusen and enlargement of geographic atrophy.39,40 Choroidal thinning has also been associated with both early and late AMD in multiple studies, although the magnitude of thinning is increased in late AMD compared with early or intermediate AMD.16,20,21 Sigler et al.21 examined 150 eyes of 150 patients with early AMD (large drusen without pigmentary changes) and intermediate AMD (drusen with pigmentary or RPE changes but without geographic atrophy) and found significantly decreased CT in both groups. Chung et al.16 similarly found decreased CT in patients with early AMD and with advanced neovascular AMD. Importantly, multiple studies have suggested that decreased CT and CVI are associated with progression to late AMD. Govetto et al.18 found that CT in eyes with neovascular AMD was significantly thinner compared with fellow eyes with non-neovascular AMD. A subanalysis based on groups of non-neovascular AMD showed larger differences in CT when neovascular AMD was compared with earlier stages of non-neovascular AMD, suggesting that the choroid undergoes progressive thinning with advancing disease.18 Fan et al.17 reported that decreased baseline subfoveal CT in intermediate AMD was associated with increased risk for development of macular atrophy. In 2019, Keenan et al.41 described increased CT and CVI in patients with intermediate AMD without late AMD in the fellow eye but not in those with late AMD in the fellow eye, suggesting that changes in CVI are biphasic, with initial increase and subsequent decrease in patients at higher risk for progression in AMD. Accordingly, our data support the concept that increased CRP may be a marker and mediator for inflammation within the choroid in AMD. When combined with the studies discussed above, it may be that chronic inflammation results in choroidal thinning and increased risk for progression of AMD. 
It is interesting to note that patients with a genetic predisposition to AMD may already demonstrate baseline choroidal thinning. For example, in a population-based study of healthy Korean older adults, a high-risk CFH variant was associated with choroidal thinning.42 Although CFH may be an independent risk factor, it may also reflect the differential effect of CRP on the choroid in high-risk CFH variants. Future studies are necessary to elucidate how the effect of CRP on choroidal thinning is modified by high-risk genetic alleles. 
Alternatively, CRP may be a marker for underlying systemic disease that may increase risk for AMD and affect CT independently. In one study in patients with cardiovascular disease, which shares common risk factors with AMD, CT was significantly decreased compared with controls.43 Higher levels of systemic CRP have also been found in other diseases of aging, such as Alzheimer's, which has also been associated with choroidal thinning.44,45 It is important to note, however, that although CRP and choroidal thinning are both associated with aging the relationship between CRP and choroidal thinning in AMD remained after adjusting for age in this study. 
There are several limitations to this study. Imaging in this study was done using SD-OCT without enhanced depth imaging OCT (EDI-OCT), which has a smaller depth of field and poorer visualization of the choroid compared with SD-OCT with EDI-OCT. However, prior studies have shown good correlation between successful choroidal measurements on SD-OCT without and with EDI-OCT.46 In addition, we were able to determine the choroid–sclera junction in at least one eye of all patients who had OCT imaging in this study. Given that AMD is a disease with thin choroid, we feel that SD-OCT is less of a limitation in quantifying CT. Within the limits of a cross-sectional study and because of the small sample size, we were not able to analyze whether increased CRP and choroidal thinning were associated with higher risk for progression of AMD. Although we evaluated for possible confounders such as age, BMI, gender, smoking, and presence of RPD, we were unable to evaluate other established effectors of CT, such as axial length. Notably, axial length has not been previously associated with CRP and would not be expected to be a confounder.47 Finally, the small sample size in this study may have limited the evaluation of qualitative OCT features. 
In conclusion, to our knowledge, this is the first study to suggest a relationship between CRP and choroidal thinning on OCT in patients with iAMD, lending support to the hypothesis that chronic inflammation is crucial to the pathogenesis of AMD. Further research is needed to elucidate the role of inflammation in progression of AMD and to investigate the application of antiinflammatory agents in its treatment. 
Supported by the National Eye Institute, National Institutes of Health, under award number R01EY032456 (AML); a Research to Prevent Blindness grant to the Department of Ophthalmology, University of Colorado School of Medicine, Frederic C. Hamilton Macular Degeneration Center; by the Sue Anschutz-Rodgers Eye Center Research Fund; and by a National Center for Advancing Translational Sciences, National Institutes of Health, Colorado Clinical and Translational Science Award (UL1 TR002535). 
Previously presented at The Retina Society 53rd Annual Scientific Meeting, 2020. 
Disclosure: R.C. Chen, None; A.G. Palestine, None; A.M. Lynch, None; J.L. Patnaik, None; B.D. Wagner, None; M.T. Mathias, None; N. Mandava, None 
Chakravarthy U, Bailey CC, Scanlon PH, et al. Progression from early/intermediate to advanced forms of age-related macular degeneration in a large UK cohort: rates and risk factors. Ophthalmol Retina. 2020; 4(7): 662–672. [CrossRef] [PubMed]
Seddon JM, Cote J, Davis N, Rosner B. Progression of age-related macular degeneration: association with body mass index, waist circumference, and waist-hip ratio. Arch Ophthalmol. 2003; 121(6): 785–792. [CrossRef] [PubMed]
Age-Related Eye Disease Study Research Group. Risk factors associated with age-related macular degeneration: a case-control study in the age-related eye disease study: Age-Related Eye Disease Study Report Number 3. Ophthalmology. 2000; 107(12): 2224–2232. [CrossRef] [PubMed]
Seddon JM, Walter C, Speizer FE, Hankinson SE. A prospective study of cigarette smoking and age-related macular degeneration in women. JAMA. 1996; 276(14): 1141. [CrossRef] [PubMed]
Seddon JM, Gensler G, Milton RC, Klein ML, Rifai N. Association between C-reactive protein and age-related macular degeneration. JAMA. 2004; 291(6): 704–710. [CrossRef] [PubMed]
Age-Related Eye Disease Study Research Group. The Age-Related Eye Disease Study (AREDS): design implications. AREDS report 1. Control Clin Trials. 1999; 20(6): 573–600. [CrossRef] [PubMed]
Seddon J, George S, Rosner B, Rifai N. Progression of age-related macular degeneration: prospective assessment of C-reactive protein, interleukin 6, and other cardiovascular biomarkers. Arch Ophthalmol. 2005; 123(6): 774–782. [CrossRef] [PubMed]
Rodrigo F, Ruiz-Moreno J, García J, Torregrosa ME, Vicente J, Piñero DP. Color Doppler imaging of the retrobulbar circulation and plasmatic biomarkers of vascular risk in age-related macular degeneration: a pilot study. Indian J Ophthalmol. 2018; 66(1): 89–93. [PubMed]
Bhutto I, Baba T, Merges C, Juriasinghani V, McLeod DS, Lutty GA. C-reactive protein and complement factor H in aged human eyes and eyes with age-related macular degeneration. Br J Ophthalmol. 2011; 95(9): 1323–1330. [CrossRef] [PubMed]
Chirco KR, Whitmore SS, Wang K, et al. Monomeric C-reactive protein and inflammation in age-related macular degeneration. J Pathol. 2016; 240(2): 173–183. [CrossRef] [PubMed]
Johnson PT, Betts KE, Radeke MJ, Hageman GS, Anderson DH, Johnson LV. Individuals homozygous for the age-related macular degeneration risk-conferring variant of complement factor H have elevated levels of CRP in the choroid. Proc Natl Acad Sci U S A. 2006; 103(46): 17456–17461. [CrossRef] [PubMed]
de Sisternes L, Simon N, Tibshirani R, Leng T, Rubin D. Quantitative SD-OCT imaging biomarkers as indicators of age-related macular degeneration progression. Invest Ophthalmol Vis Sci. 2014; 55(11): 7093–7103. [CrossRef] [PubMed]
Veerappan M, El-Hage-Sleiman A-KM, Tai V, et al. Optical coherence tomography reflective drusen substructures predict progression to geographic atrophy in non-neovascular age-related macular degeneration. Ophthalmology. 2016; 123(12): 2554–2570. [CrossRef] [PubMed]
Ferrara D, Silver RE, Louzada RN, Novais EA, Collins GK, Seddon JM. Optical coherence tomography features preceding the onset of advanced age-related macular degeneration. Invest Ophthalmol Vis Sci. 2017; 58(9): 3519–3529. [CrossRef] [PubMed]
Wu Z, Luu CD, Ayton LN, et al. Optical coherence tomography-defined changes preceding the development of drusen-associated atrophy in age-related macular degeneration. Ophthalmology. 2014; 121(12): 2415–2422. [CrossRef] [PubMed]
Chung SE, Kang SW, Lee JH, Kim Y-T. Choroidal thickness in polypoidal choroidal vasculopathy and exudative age-related macular degeneration. Ophthalmology. 2011; 118(5): 840–845. [CrossRef] [PubMed]
Fan W, Abdelfattah NS, Uji A, et al. Subfoveal choroidal thickness predicts macular atrophy in age-related macular degeneration: results from the TREX-AMD trial. Graefes Arch Clin Exp Ophthalmol. 2018; 256(3): 511–518. [CrossRef] [PubMed]
Govetto A, Sarraf D, Figueroa MS, et al. Choroidal thickness in non-neovascular versus neovascular age-related macular degeneration: a fellow eye comparative study. Br J Ophthalmol. 2017; 101(6): 764–769. [CrossRef] [PubMed]
Legocki AT, Adhi M, Weber ML, Duker J. Choroidal morphology and vascular analysis in eyes with neovascular age-related macular degeneration using spectral-domain optical coherence tomography. Ophthalmic Surg Lasers Imaging Retina. 2016; 47(7): 618–625. [CrossRef] [PubMed]
Rishi P, Rishi E, Mathur G, Raval V. Ocular perfusion pressure and choroidal thickness in eyes with polypoidal choroidal vasculopathy, wet-age-related macular degeneration, and normals. Eye (Lond). 2013; 27(9): 1038–1043. [CrossRef] [PubMed]
Sigler EJ, Randolph JC. Comparison of macular choroidal thickness among patients older than age 65 with early atrophic age-related macular degeneration and normals. Invest Ophthalmol Vis Sci. 2013; 54(9): 6307–6313. [CrossRef] [PubMed]
Lynch AM, Palestine AG, Wagner BD, et al. Complement factors and reticular pseudodrusen in intermediate age-related macular degeneration staged by multimodal imaging. BMJ Open Ophthalmol. 2019; 5(1): e000361. [CrossRef]
Lynch AM, Mandava N, Patnaik JL, et al. Systemic activation of the complement system in patients with advanced age-related macular degeneration. Eur J Ophthalmol. 2020; 30(5): 1061–1068. [CrossRef] [PubMed]
Wagner BD, Patnaik JL, Palestine AG, et al. Association of systemic inflammatory factors with progression to advanced age-related macular degeneration [online ahead of print]. Ophthalmic Epidemiol. 2021,
Lynch AM, Patnaik JL, Cathcart JN, et al. Colorado Age-Related Macular Degeneration Registry: design and clinical risk factors of the cohort. Retina. 2019; 39(4): 656–663. [CrossRef] [PubMed]
Ferris FL, 3rd, Wilkinson CP, Bird A, et al. Clinical classification of age-related macular degeneration. Ophthalmology. 2013; 120(4): 844–851. [CrossRef] [PubMed]
Boddu S, Lee MD, Marsiglia M, Marmor M, Freund KB, Smith RT. Risk factors associated with reticular pseudodrusen versus large soft drusen. Am J Ophthalmol. 2014; 157(5): 985–993. [CrossRef] [PubMed]
Gil JQ, Marques JP, Hogg R, et al. Clinical features and long-term progression of reticular pseudodrusen in age-related macular degeneration: findings from a multicenter cohort. Eye (Lond). 2017; 31(3): 364–371. [CrossRef] [PubMed]
Joachim N, Mitchell P, Rochtchina E, Tan AG, Wang JJ. Incidence and progression of reticular drusen in age-related macular degeneration: findings from an older Australian cohort. Ophthalmology. 2014; 121(4): 917–925. [CrossRef] [PubMed]
Sohrab MA, Smith RT, Salehi-Had H, Sadda SR, Fawzi AA. Image registration and multimodal imaging of reticular pseudodrusen. Invest Ophthalmol Vis Sci. 2011; 52(8): 5743–5748. [CrossRef] [PubMed]
Ueda-Arakawa N, Ooto S, Nakata I, et al. Prevalence and genomic association of reticular pseudodrusen in age-related macular degeneration. Am J Ophthalmol. 2013; 155(2): 260–269. [CrossRef] [PubMed]
Molins B, Fuentes-Prior P, Adán A, et al. Complement factor H binding of monomeric C-reactive protein downregulates proinflammatory activity and is impaired with at risk polymorphic CFH variants. Sci Rep. 2016; 6: 22889. [CrossRef] [PubMed]
McGrath FDG, Brouwer MC, Arlaud GJ, Daha MR, Hack CE, Roos A. Evidence that complement protein C1q interacts with C-reactive protein through its globular head region. J Immunol. 2006; 176(5): 2950–2957. [CrossRef] [PubMed]
McFayden JD, Kiefer J, Braig D, et al. Dissociation of C-reactive protein localizes and amplifies inflammation: evidence of a direct biological role of C-reactive protein and its conformational changes. Front Immunol. 2018; 9: 1351. [CrossRef] [PubMed]
Skeie JM, Fingert JH, Russel SR, Stone EM, Mullins RF. Complement component C5a activates ICAM-1 expression on human choroidal endothelial cells. Invest Ophthalmol Vis Sci. 2010; 51(10): 5336–5342. [CrossRef] [PubMed]
Steiner M, del Mar Esteban-Ortega M, Muñoz-Fernández S. Choroidal and retinal thickness in systemic autoimmune and inflammatory disease: a review. Surv Ophthalmol. 2019; 64(6): 757–769. [CrossRef] [PubMed]
Spraul CW, Lang GE, Grossniklaus HE, Lang GK. Histologic and morphometric analysis of the choroid, Bruch's membrane, and retinal pigment epithelium in postmortem eyes with age-related macular degeneration and histologic examination of surgically excised choroidal neovascular membrane. Surv Ophthalmol. 1999; 44(suppl 1): S10–S32. [PubMed]
Koh LHL, Agrawal R, Khandelwal N, Charan LS, Chhablani J. Choroidal vascular changes in age-related macular degeneration. Acta Ophthalmol. 2017; 95(7): e597–e601. [CrossRef] [PubMed]
Nassisi M, Tepelus T, Nittala MG, Sadda SR. Choriocapillaris flow impairment predicts the development and enlargement of drusen. Graefes Arch Clin Exp Ophthalmol. 2019; 257(10): 2079–2085. [CrossRef] [PubMed]
Sacconi R, Corbelli E, Borreli E, et al. Choriocapillaris flow impairment could predict the enlargement of geographic atrophy lesion. Br J Ophthalmol. 2021; 105(1): 97–102. [CrossRef] [PubMed]
Keenan TD, Klein B, Agrón E, Chew EY, Cukras CA, Wong WT. Choroidal thickness and vascularity vary with disease severity and subretinal drusenoid deposit presence in nonadvanced age-related macular degeneration. Retina. 2020; 40(4): 632–642. [CrossRef] [PubMed]
Ryoo N-K, Ahn SJ, Park KH, et al. Thickness of retina and choroid in the elderly population and its association with complement factor H polymorphism: KLoSHA eye study. PLoS One. 2018; 13(12): e0209276. [CrossRef] [PubMed]
Ahmad M, Kaszubski PA, Cobbs L, Reynolds H, Smith R. Choroidal thickness in patients with coronary artery disease. PLoS One. 2017; 12(6): e0175691. [CrossRef] [PubMed]
Di Staso F, Ciancaglini M, Abdolrahimzadeh S, D'Apolito F, Scuderi G. Optical coherence tomography of choroid in common neurological diseases. In Vivo. 2019; 33(5): 1403–1409. [CrossRef] [PubMed]
Song I-U, Chung S-W, Kim Y-D, Maeng L-S. Relationship between hs-CRP as non-specific biomarker and Alzheimer's disease according to aging process. Int J Med Sci. 2015; 12(8): 613–617. [CrossRef] [PubMed]
Kong M, Choi DY, Han G, et al. Measurable range of subfoveal choroidal thickness with conventional spectral domain optical coherence tomography. Transl Vis Sci Technol. 2018; 7(5): 16. [CrossRef] [PubMed]
Yang T-K, Huang X-G, Yao J-Y. Effects of cigarette smoking on retinal and choroidal thickness: a systematic review and meta-analysis. J Ophthalmol, 2019; 2019: 8079127. [PubMed]
Plot of average CT (natural log transformed) and CRP (natural log transformed) for both eyes. Parameter estimate of –0.07 (±0.03 SE) of negative association between CT and CRP (P = 0.01).
Plot of average CT (natural log transformed) and CRP (natural log transformed) for both eyes. Parameter estimate of –0.07 (±0.03 SE) of negative association between CT and CRP (P = 0.01).
Table 1.
Characteristics of the Intermediate AMD Cohort (N = 107)
Table 1.
Characteristics of the Intermediate AMD Cohort (N = 107)
Table 2.
Binary OCT Measures and CRP Among the Intermediate AMD Cohort
Table 2.
Binary OCT Measures and CRP Among the Intermediate AMD Cohort
Table 3.
Univariate and Multivariable Associations Between Average CT With CRP and Potential Confounders (N = 213)
Table 3.
Univariate and Multivariable Associations Between Average CT With CRP and Potential Confounders (N = 213)

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.