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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT05475158
Other study ID # 1908-004-081
Secondary ID
Status Completed
Phase
First received
Last updated
Start date September 1, 2019
Est. completion date July 31, 2021

Study information

Verified date July 2022
Source Pusan National University Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

To compare alternation of retinal microcirculation within the macula and optic disc in patients with dementia, mild cognitive impairment (MCI), and cognitively healthy subjects who had positive amyloid biomarkers (Aβ +) or not, using optical coherence tomography angiography (OCTA).


Description:

Alzheimer disease dementia (ADD) is the most common neurodegenerative disease dementia in elderly population associated with the accumulation of beta-amyloid (Aβ) plaques and tau neurofibrillary tangles (NFTs). Diagnostic biomarkers reflecting underlying amyloid or tau pathology of ADD have actively been developed. Of these, amyloid or tau positron emission tomography (PET) imaging and cerebrospinal fluid (CSF) Aβ1-42 or phosphorylated tau are representative biomarkers for ADD. However, these tend to be expensive, invasive, or available only in a tertiary hospital or a specialized laboratory. Alternative biomarkers which are inexpensive, less invasive, and highly available could be needed. Patients with ADD commonly show visuospatial dysfunction which is mainly attributed to damage of parieto-occipital or temporo-occipital visual pathway. In addition, previous studies using optical coherence tomography (OCT) which is a useful tool measuring retinal nerve fiber layer thickness (RNFLT), macula ganglion cell/inner plexiform layer thickness (GC/IPLT) reported impaired pregeniculate afferent visual pathway, for example, reduction of RNFLT and loss of retinal ganglionic cells (RGCs) in patients with ADD. The retina and brain have the same embryological origin. These were branched off from the forebrain, so the brain and retina have similar anatomic and physiologic traits of the vasculature. In line with this, several studies using laser doppler ultrasonography, or retinal function imager (RFI) revealed narrowed central retinal vein and decreased its blood velocity, or low blood flow rate of retinal arterioles and venules in patients with mild cognitive impairment (MCI) and ADD. The authors suggested that in patients with ADD, accumulation of Aβ in the vessel walls could cause disruption of basement membrane and endothelium, leading to the decreased vascular lumen and density of retinal vessel. Indeed, postmortem study revealed accumulated Aβ inside or around RGCs in AD. OCTA can clearly visualize not only the specific layers of retinal vasculatures, including superficial, middle, and deep capillary plexuses, but also choroidal vessels with a high resolution and in a reproducible manner, without contrast agent. A few prior studies using OCTA reported enlarged foveal avascular zone (FAZ) and decrease of retinal vascular density and choroidal thickness in ADD or MCI compared to controls. On the other hand, the others showed no differences in FAZ area and vessel density between them. In this study, the investigators first evaluated structural and microvascular changes of retina and the microvascular change of macula and optic disc in patients with clinically diagnosed ADD, MCI and cognitively normal controls using OCT and OCTA. Then, to investigate whether impaired pregeniculate visual pathway is truly associated with underlying amyloid pathology, the investigators further investigated those OCT and OCTA parameters in each subgroup with positive or negative amyloid biomarker.


Recruitment information / eligibility

Status Completed
Enrollment 117
Est. completion date July 31, 2021
Est. primary completion date July 31, 2021
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 50 Years to 90 Years
Eligibility Inclusion Criteria: - Clinical and pathologic diagnosis of ADD or MCI as well as cognitively unimpaired control (CU) from the Neurologic Clinic of Pusan National University Hospital Exclusion Criteria: - Patient not within the ages of 50-90 years old - Patient with glaucoma, macular degeneration, retinal vascular disease including diabetic retinopathy, retinal vein occlusion - Intraocular pressure (IOP) = 21 mmHg - Dense corneal or ocular media opacity - History of ocular trauma or associated ocular disease - Astigmatism = 3.0 diopter or spherical equivalent = 6.0 diopter - Best corrected visual acuity (BCVA) < 20/40 - Any ocular surgery except uncomplicated cataract extraction - Uncontrolled hypertension and diabetes

Study Design


Locations

Country Name City State
Korea, Republic of Pusan National University Hospital Busan

Sponsors (1)

Lead Sponsor Collaborator
Pusan National University Hospital

Country where clinical trial is conducted

Korea, Republic of, 

References & Publications (24)

Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, Gamst A, Holtzman DM, Jagust WJ, Petersen RC, Snyder PJ, Carrillo MC, Thies B, Phelps CH. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011 May;7(3):270-9. doi: 10.1016/j.jalz.2011.03.008. Epub 2011 Apr 21. — View Citation

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Blanks JC, Hinton DR, Sadun AA, Miller CA. Retinal ganglion cell degeneration in Alzheimer's disease. Brain Res. 1989 Nov 6;501(2):364-72. — View Citation

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Bulut M, Kurtulus F, Gözkaya O, Erol MK, Cengiz A, Akidan M, Yaman A. Evaluation of optical coherence tomography angiographic findings in Alzheimer's type dementia. Br J Ophthalmol. 2018 Feb;102(2):233-237. doi: 10.1136/bjophthalmol-2017-310476. Epub 2017 Jun 9. — View Citation

Clark CM, Pontecorvo MJ, Beach TG, Bedell BJ, Coleman RE, Doraiswamy PM, Fleisher AS, Reiman EM, Sabbagh MN, Sadowsky CH, Schneider JA, Arora A, Carpenter AP, Flitter ML, Joshi AD, Krautkramer MJ, Lu M, Mintun MA, Skovronsky DM; AV-45-A16 Study Group. Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-ß plaques: a prospective cohort study. Lancet Neurol. 2012 Aug;11(8):669-78. Epub 2012 Jun 28. Erratum in: Lancet Neurol. 2012 Aug;11(8):658. — View Citation

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de Carlo TE, Bonini Filho MA, Chin AT, Adhi M, Ferrara D, Baumal CR, Witkin AJ, Reichel E, Duker JS, Waheed NK. Spectral-domain optical coherence tomography angiography of choroidal neovascularization. Ophthalmology. 2015 Jun;122(6):1228-38. doi: 10.1016/j.ophtha.2015.01.029. Epub 2015 Mar 17. — View Citation

den Haan J, van de Kreeke JA, van Berckel BN, Barkhof F, Teunissen CE, Scheltens P, Verbraak FD, Bouwman FH. Is retinal vasculature a biomarker in amyloid proven Alzheimer's disease? Alzheimers Dement (Amst). 2019 May 10;11:383-391. doi: 10.1016/j.dadm.2019.03.006. eCollection 2019 Dec. Erratum in: Alzheimers Dement (Amst). 2020 Jul 05;12(1):e12046. Haan, Jurre den [corrected to den Haan, Jurre]. — View Citation

Feke GT, Hyman BT, Stern RA, Pasquale LR. Retinal blood flow in mild cognitive impairment and Alzheimer's disease. Alzheimers Dement (Amst). 2015 Apr 23;1(2):144-51. doi: 10.1016/j.dadm.2015.01.004. eCollection 2015 Jun. — View Citation

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Hodges JR. Alzheimer's centennial legacy: origins, landmarks and the current status of knowledge concerning cognitive aspects. Brain. 2006 Nov;129(Pt 11):2811-22. — View Citation

Jiang H, Liu Y, Wei Y, Shi Y, Wright CB, Sun X, Rundek T, Baumel BS, Landman J, Wang J. Impaired retinal microcirculation in patients with Alzheimer's disease. PLoS One. 2018 Feb 2;13(2):e0192154. doi: 10.1371/journal.pone.0192154. eCollection 2018. — View Citation

Jiang H, Wei Y, Shi Y, Wright CB, Sun X, Gregori G, Zheng F, Vanner EA, Lam BL, Rundek T, Wang J. Altered Macular Microvasculature in Mild Cognitive Impairment and Alzheimer Disease. J Neuroophthalmol. 2018 Sep;38(3):292-298. doi: 10.1097/WNO.0000000000000580. — View Citation

Kirby E, Bandelow S, Hogervorst E. Visual impairment in Alzheimer's disease: a critical review. J Alzheimers Dis. 2010;21(1):15-34. doi: 10.3233/JAD-2010-080785. Review. — View Citation

Nesper PL, Fawzi AA. Human Parafoveal Capillary Vascular Anatomy and Connectivity Revealed by Optical Coherence Tomography Angiography. Invest Ophthalmol Vis Sci. 2018 Aug 1;59(10):3858-3867. doi: 10.1167/iovs.18-24710. — View Citation

O'Bryhim BE, Apte RS, Kung N, Coble D, Van Stavern GP. Association of Preclinical Alzheimer Disease With Optical Coherence Tomographic Angiography Findings. JAMA Ophthalmol. 2018 Nov 1;136(11):1242-1248. doi: 10.1001/jamaophthalmol.2018.3556. — View Citation

Rosenfeld PJ, Durbin MK, Roisman L, Zheng F, Miller A, Robbins G, Schaal KB, Gregori G. ZEISS Angioplex™ Spectral Domain Optical Coherence Tomography Angiography: Technical Aspects. Dev Ophthalmol. 2016;56:18-29. doi: 10.1159/000442773. Epub 2016 Mar 15. Review. — View Citation

Sadun AA, Bassi CJ. Optic nerve damage in Alzheimer's disease. Ophthalmology. 1990 Jan;97(1):9-17. — View Citation

van de Kreeke JA, Nguyen HT, Konijnenberg E, Tomassen J, den Braber A, Ten Kate M, Yaqub M, van Berckel B, Lammertsma AA, Boomsma DI, Tan SH, Verbraak F, Visser PJ. Optical coherence tomography angiography in preclinical Alzheimer's disease. Br J Ophthalmol. 2020 Feb;104(2):157-161. doi: 10.1136/bjophthalmol-2019-314127. Epub 2019 May 22. — View Citation

Villemagne VL, Burnham S, Bourgeat P, Brown B, Ellis KA, Salvado O, Szoeke C, Macaulay SL, Martins R, Maruff P, Ames D, Rowe CC, Masters CL; Australian Imaging Biomarkers and Lifestyle (AIBL) Research Group. Amyloid ß deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study. Lancet Neurol. 2013 Apr;12(4):357-67. doi: 10.1016/S1474-4422(13)70044-9. Epub 2013 Mar 8. — View Citation

Wu J, Zhang X, Azhati G, Li T, Xu G, Liu F. Retinal microvascular attenuation in mental cognitive impairment and Alzheimer's disease by optical coherence tomography angiography. Acta Ophthalmol. 2020 Sep;98(6):e781-e787. doi: 10.1111/aos.14381. Epub 2020 Mar 9. — View Citation

Zhang YS, Zhou N, Knoll BM, Samra S, Ward MR, Weintraub S, Fawzi AA. Parafoveal vessel loss and correlation between peripapillary vessel density and cognitive performance in amnestic mild cognitive impairment and early Alzheimer's Disease on optical coherence tomography angiography. PLoS One. 2019 Apr 2;14(4):e0214685. doi: 10.1371/journal.pone.0214685. eCollection 2019. — View Citation

* Note: There are 24 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary SD-OCT imaging Measuring macular GC/IPLT (µm) and cimcumpapillary RNFLT (µm).
The average, minimum, and 6 sectoral (superotemporal, superior, superonasal, inferonasal, inferior, and inferotemporal) GC/IPLT (µm) values are obtained.
The average, 4 sectoral (temporal, superior, nasal, and inferior), and 12 clock-hour circumpapillary RNFLT (µm) are obtained.
Multiple measurements will not be aggregated, but analyzed respectively.
Through study completion, measured at enrollment and analyzed from September 2019 to July 2021
Primary SD-OCTA imaging Acquiring microvasculature images of macular (6 × 6 mm^2 scan) and optic disc areas (4.5 × 4.5 mm^2 scan).
The average vessel density (VD, mm/mm^2) and perfusion density (PD, %) were automatically measured in the Early Treatment of Diabetic Retinopathy Study (ETDRS) grid with values shown in the nine subfields, central, inner, outer and full region.
The software calculated the area (mm^2), perimeter (mm), and circularity (defined as 4pA/P^2, where A was the area and P was the perimeter) of foveal avascular zone (FAZ). A circularity closer to 0 means an irregular shape, and closure to 1 indicates a circular shape.
Multiple measurements will not be aggregated, but analyzed respectively.
Through study completion, measured at enrollment and analyzed from September 2019 to July 2021
Secondary Diagnostic performance Diagnostic performance of OCT and OCTA parameters according to underlying Aßpathology.
Receiver operating characteristic (ROC) curves were drawn by plotting sensitivity against 1-specificity, and areas under ROC curves (AUCs) were used to evaluate the diagnostic performance of continuous OCT/OCTA variables. Ideal cut-off points were derived using the Youden index
Through study completion, analyzed from July 2021 to July 2022
Secondary Correlations Correlations between MMSE score and all of OCT/OCTA parameters were expressed as Pearson's or Spearman's rank correlation coefficients to account for the normal or non-normal distribution of the parameters, respectively.
OCT/OCTA parameters including as follows;
macular GC/IPLT (µm): average, minimum, and 6 sectoral (superotemporal, superior, superonasal, inferonasal, inferior, and inferotemporal) GC/IPLT
cimcumpapillary RNFLT (µm): verage, 4 sectoral (temporal, superior, nasal, and inferior), and 12 clock-hour circumpapillary RNFLT
Macular vessel density (VD, mm/mm^2) & perfusion density (PD, %)
: VDs and PDs of central, parafoveal (nasal, temporal, superior, inferior), perifoveal (nasal, temporal, superior, inferior), and total
Optic disc perfusion density (%) and flux index (from 0 to 1) : nasal, temporal, superior, inferior
Through study completion, analyzed from July 2021 to July 2022
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