April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Daily biorhythms of ocular volume changes and the cardiovascular system functional parameters in healthy, ocular hypertension, normal tension and primary open angle glaucoma populations.
Author Affiliations & Notes
  • Robert Henryk Wasilewicz
    Ophthalmology, University of Medical Sciences, Poznan, Poland
  • Piotr Wasilewicz
    Ophthalmology, University of Medical Sciences, Poznan, Poland
  • Jaroslaw Kociecki
    Ophthalmology, University of Medical Sciences, Poznan, Poland
  • Czaplicka Ewa
    Ophthalmology, University of Medical Sciences, Poznan, Poland
  • Artur Radziemski
    Hypertensiology, Angiology and Internal diseases, University of Medical Sciences, Poznan, Poland
  • Jerzy Blaszczynski
    Laboratory of Intelligent Decision Support Systems, University of Technology, Poznan, Poland
  • Cezary Mazurek
    Poznan Supercomputing and Networking Center, Poznan, Poland
  • Roman Slowinski
    Laboratory of Intelligent Decision Support Systems, University of Technology, Poznan, Poland
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 142. doi:
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      Robert Henryk Wasilewicz, Piotr Wasilewicz, Jaroslaw Kociecki, Czaplicka Ewa, Artur Radziemski, Jerzy Blaszczynski, Cezary Mazurek, Roman Slowinski; Daily biorhythms of ocular volume changes and the cardiovascular system functional parameters in healthy, ocular hypertension, normal tension and primary open angle glaucoma populations.. Invest. Ophthalmol. Vis. Sci. 2014;55(13):142.

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

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Abstract
 
Purpose
 

To investigate rules included in daily biorythms of the eyeball volume changes and cardiovascular system behavior in Normal (N), Ocular Hypertension (OH), Normal Tension (NTG) and Primary Open Angle Glaucoma (POAG).

 
Methods
 

Symultanous, 24hrs evaluation (T”0”- 11 am to 1.pm, washed out eyes) of ocular volume changes using Continuous Ocular Volumetry (Triggerfish, Sensimed) and cardiovascular system parameters using BP and ECG Holter recordings. There were [participants number (mean IOP/Age)]: 140 Ns (14,5mmHg/54yo) , 23 OHs (25,1mmHg/54,6yo), 25 NTGs (16,1mmHg/61,3yo) and 78 POAGs (24,9mmHg/ 60yo). Variables: TF- [Triggerfish data (mVeq) ], TFGAT- [Triggerfish data+GAT (mVeq+mmHg)], SAP- [systolic arterial pressure (mmHg)], DAP- [diastolic arterial pressure (mmHg)], mDPP - [modyfied diastolic perfusion pressure ;DAP-TFGAT(mVeq+mmHg)], HR- [heart rate (bpm)] Data set based on areas under the curves of variables from 24hrs recordings represent general analysis. Data set basing on time of falling asleep (F) and awakening (W) representing Time-interval dependent analysis. Variables averages and linear model α and β were compared within ranges A: (F-5hrs, F], B: (F, F+2hrs], C: (F+2hrs, W], D: (W, W+5hrs].

 
Results
 

Statistical significance vs. Ns ( p<0,007) in Wilcoxon test for AUC variables analysis were detected only for POAG at: TFGAT SUM= 0.00001, DPP SUM= 0.00094 Statistical significance vs. Ns ( p<0,007) in Wilcoxon test for Time-interval dependent analysis Group:[significant variable; time-interval, value]: OH: [SAP AVG; B.0,0041, C.0,0002], [SAP β;C.0,0012, D.0,0053], [DAP AVG; C.0,0049],[DAP β; C.0,001], [MAP β;C.0,003] NTG: No significance POAG: [TFGAT AVG; A.0,00001, B.0,00031, C.0,00117, D.0,00000], [TFGAT SUM; A.0,00000, B.0,0009, D.0,00000],[TFGAT β; A.0,00002, B.0,00009, C.0,00085,D.0,00001], [SAP AVG; C.0,001], [SAP β;D. 0,0067], [MAP AVG; A.0,0033,C.0,0037], [MAP β;A.0,007], [mDPP SUM; A.0,0064, C.0,0029].

 
Conclusions
 

The study has shown presence of specific, group dependent rules, presented in 24-hour circadian biorythms of eyeball volume changes and functional parameters of cardiovascular system. These figures could bring new insights into the pathogenesis of glaucomatous neuropathy and indicate the location of potential handle points for individual time-dependent therapeutic options.

  
Keywords: 568 intraocular pressure • 459 clinical (human) or epidemiologic studies: biostatistics/epidemiology methodology • 464 clinical (human) or epidemiologic studies: risk factor assessment  
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