Intraocular Pressure Clinical Trial
Official title:
The Response of Intraocular Pressure to Systemic Hypercapnia and Hyperoxia
The purpose of this study is to determine how intraocular pressure responds to changes in the levels of carbon dioxide or oxygen that a healthy individual inspires.
In response to changes in the composition of inhaled gases, blood vessels will dilate or
constrict. As a result, hypercapnia or hyperoxia may affect the production and drainage of
aqueous humour in the anterior chamber of the eye. The balance between the production and
drainage of the aqueous humour determines the intraocular pressure. As this system is
hydrodynamic, it is expected that any increase or decrease in the production of aqueous
humour due to dilation or constriction of the capillaries within the ciliary body will be
compensated by increased or decreased drainage at the trabecular meshwork. Therefore
intraocular pressure is not expected to show a response to hypercapnia or hyperoxia, but
this supposition needs to be tested in a stably controlled manner of inducing inhaled gas
provocations. This study will measure the intraocular pressure at varying levels of
hypercapnia and hyperoxia using a sequential rebreathing circuit and automated gas blender.
This will allow the precise targeting and stable control of end-tidal partial pressure
values of carbon dioxide and oxygen.
In this study, intraocular pressure will be measured at seven different inhaled gas stages.
The seven stages are as follows:
1. Baseline, measured in eye A (PETCO2=38mmHg and PETO2=100mmHg)
2. 10% hypercapnic increase, measured in eye A (PETCO2=42mmHg and PETO2=100mmHg)
3. 20% hypercapnic increase, measured in eye A (PETCO2=46mmHg and PETO2=100mmHg)
4. Baseline, measured in both eyes (PETCO2=38mmHg and PETO2=100mmHg)
5. 250% hyperoxic increase, measured in eye B (PETCO2=38mmHg and PETO2=250mmHg)
6. 500% hyperoxic increase, measured in eye B (PETCO2=38mmHg and PETO2=500mmHg)
7. Baseline, measured in eye B (PETCO2=38mmHg and PETO2=100mmHg)
;
Observational Model: Case-Only, Time Perspective: Cross-Sectional
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