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Ocular Pulse Amplitude and Doppler Waveform Analysis in Glaucoma Patients

2014-06Journal article Open access
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dc.contributor.authorAbegão Pinto, L
dc.contributor.authorVandewalle, E
dc.contributor.authorWillekens, K
dc.contributor.authorMarques-Neves, C
dc.contributor.authorStalmans, I
dc.date.accessioned2016-01-20T12:56:39Z
dc.date.available2016-01-20T12:56:39Z
dc.date.issued2014-06
dc.description.abstractPURPOSE: To determine the correlation between ocular blood flow velocities and ocular pulse amplitude (OPA) in glaucoma patients using colour Doppler imaging (CDI) waveform analysis. METHOD: A prospective, observer-masked, case-control study was performed. OPA and blood flow variables from central retinal artery and vein (CRA, CRV), nasal and temporal short posterior ciliary arteries (NPCA, TPCA) and ophthalmic artery (OA) were obtained through dynamic contour tonometry and CDI, respectively. Univariate and multiple regression analyses were performed to explore the correlations between OPA and retrobulbar CDI waveform and systemic cardiovascular parameters (blood pressure, blood pressure amplitude, mean ocular perfusion pressure and peripheral pulse). RESULTS: One hundred and ninety-two patients were included [healthy controls: 55; primary open-angle glaucoma (POAG): 74; normal-tension glaucoma (NTG): 63]. OPA was statistically different between groups (Healthy: 3.17 ± 1.2 mmHg; NTG: 2.58 ± 1.2 mmHg; POAG: 2.60 ± 1.1 mmHg; p < 0.01), but not between the glaucoma groups (p = 0.60). Multiple regression models to explain OPA variance were made for each cohort (healthy: p < 0.001, r = 0.605; NTG: p = 0.003, r = 0.372; POAG: p < 0.001, r = 0.412). OPA was independently associated with retrobulbar CDI parameters in the healthy subjects and POAG patients (healthy CRV resistance index: β = 3.37, CI: 0.16-6.59; healthy NPCA mean systolic/diastolic velocity ratio: β = 1.34, CI: 0.52-2.15; POAG TPCA mean systolic velocity: β = 0.14, CI 0.05-0.23). OPA in the NTG group was associated with diastolic blood pressure and pulse rate (β = -0.04, CI: -0.06 to -0.01; β = -0.04, CI: -0.06 to -0.001, respectively). CONCLUSIONS: Vascular-related models provide a better explanation to OPA variance in healthy individuals than in glaucoma patients. The variables that influence OPA seem to be different in healthy, POAG and NTG patients.pt_PT
dc.identifier.citationActa Ophthalmol. 2014 Jun;92(4):e280-5pt_PT
dc.identifier.doi10.1111/aos.12340pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.17/2364
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherJohn Wiley & Sons Ltd.pt_PT
dc.subjectCHLC OFTpt_PT
dc.subjectAgedpt_PT
dc.subjectBlood Flow Velocitypt_PT
dc.subjectBlood Pressure/physiologypt_PT
dc.subjectCase-Control Studiespt_PT
dc.subjectCiliary Arteries/physiologypt_PT
dc.subjectGlaucoma, Open-Angle/physiopathologypt_PT
dc.subjectIntraocular Pressure/physiologypt_PT
dc.subjectLaser-Doppler Flowmetrypt_PT
dc.subjectLow Tension Glaucoma/physiopathologypt_PT
dc.subjectProspective Studiespt_PT
dc.subjectPulse Wave Analysispt_PT
dc.subjectRetinal Artery/physiologypt_PT
dc.subjectRetinal Vein/physiologypt_PT
dc.subjectSingle-Blind Methodpt_PT
dc.subjectTonometry, Ocularpt_PT
dc.subjectGlaucoma, Primary Open Anglept_PT
dc.titleOcular Pulse Amplitude and Doppler Waveform Analysis in Glaucoma Patientspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPagee285pt_PT
oaire.citation.startPagee280pt_PT
oaire.citation.titleActa Ophthalmologicapt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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