scholarly journals HIOP-Reader: Automated Data Extraction for the Analysis of Manually Recorded Nycthemeral IOPs and Glaucoma Progression

2021 ◽  
Author(s):  
Vaia Agorastou ◽  
Julian Schoen ◽  
Raoul Verma-Fuehring ◽  
Mohamad Dakroub ◽  
Jost Hillenkamp ◽  
...  
Keyword(s):  
Disease Progression ◽  
Perfusion Pressure ◽  
Data Extraction ◽  
Ocular Perfusion Pressure ◽  
Analysis Software ◽  
Fiber Layer ◽  
Glaucoma Progression ◽  
Image Analysis Software ◽  
Ocular Perfusion ◽  
The Relationship

Purpose: Nycthemeral (24-hour) glaucoma inpatient intraocular pressure (IOP) monitoring has been used in Europe for more than 100 years to detect peaks missed during regular office hours. Data supporting this practice is lacking, partially because it is difficult to correlate manually drawn IOP curves to objective glaucoma progression. To address this, we deployed automated IOP data extraction tools and tested for a correlation to a progressive retinal nerve fiber layer loss on spectral-domain optical coherence tomography (SDOCT). Methods: We created and deployed a machine-learning image analysis software to extract IOP data from hand-drawn, nycthemeral IOP curves of 225 retrospectively identified glaucoma patients. The relationship between demographic parameters, IOP and mean ocular perfusion pressure (MOPP) data to SDOCT data was analyzed. Sensitivities and specificities for the historical cut-off values of 15 mmHg and 22 mmHg in detecting glaucoma progression were calculated. Results: IOP data could be extracted efficiently. The IOP average was 15.2±4.0 mmHg, nycthemeral IOP variation was 6.9±4.2 mmHg, and MOPP was 59.1±8.9 mmHg. Peak IOP occurred at 10 AM and trough at 9 PM. Disease progression occurred mainly in the temporal-superior and -inferior SDOCT sectors. No correlation could be established between demographic, IOP, or MOPP parameters and SDOCT disease progression. The sensitivity and specificity of both cut-off points (15 and 22 mmHg) were insufficient to be clinically useful. Outpatient IOPs were non-inferior to nycthemeral IOPs. Conclusion: IOP data obtained during a single visit make for a poor diagnostic tool, no matter whether obtained using nycthemeral measurements or during outpatient hours.

scholarly journals Inter-Eye Correlation Analysis of 24-hour IOPs and Glaucoma Progression

2021 ◽  
Author(s):  
Mohamad Dakroub ◽  
Raoul Verma-Fuehring ◽  
Vaia Agorastou ◽  
Julian Schön ◽  
Jost Hillenkamp ◽  
...  
Keyword(s):  
Disease Progression ◽  
Roc Curves ◽  
Bivariate Analysis ◽  
Progression Rate ◽  
Fiber Layer ◽  
Glaucoma Progression ◽  
Ocular Perfusion ◽  
Significant Difference ◽  
Relationship Of ◽  
The Relationship

Purpose: To determine whether 24-hour IOP monitoring can be a predictor for glaucoma progression and to analyze the inter-eye relationship of IOP, perfusion and progression parameters. Methods: We extracted data from manually drawn IOP curves with HIOP-Reader, a software suite we developed. The relationship between measured IOPs and mean ocular perfusion pressures (MOPP) to retinal nerve fiber layer (RNFL) thickness was analyzed. We determined the ROC curves for peak IOP (Tmax), average IOP (Tavg), IOP variation (IOPvar) and historical IOP cut-off levels to detect glaucoma progression (rate of RNFL loss). Bivariate analysis was conducted to check for various inter-eye relationships. Results: 217 eyes were included. The average IOP was 14.8±3.5 mmHg, with a 24-hour variation of 5.2±2.9 mmHg. 52% of eyes with RNFL data showed disease progression. There was no significant difference in Tmax, Tavg and IOPvar between progressors and non-progressors (all p>0.05). Except for Tavg and the temporal RNFL, there was no correlation between disease progression in any quadrant, Tmax, Tavg and IOPvar. 24-hour and outpatient IOP variables had poor sensitivities and specificities in detecting disease progression. The correlation of inter-eye parameters was moderate; correlation with disease progression was weak. Conclusion: In line with our previous study, IOP data obtained during a single visit (outpatient or inpatient monitoring) make for a poor diagnostic tool, no matter the method deployed. Glaucoma progression and perfusion pressure in left and right eyes correlated weakly to moderately with each other.

Twenty-four Hour Ocular Perfusion Pressure Fluctuation and Risk of Normal-Tension Glaucoma Progression

2009 ◽  
Vol 50 (11) ◽  
pp. 5266 ◽  
Author(s):  
Kyung Rim Sung ◽  
Suhwan Lee ◽  
Seong Bae Park ◽  
Jaewan Choi ◽  
Soon Tae Kim ◽  
...  
Keyword(s):  
Pressure Fluctuation ◽  
Perfusion Pressure ◽  
Normal Tension Glaucoma ◽  
Ocular Perfusion Pressure ◽  
Glaucoma Progression ◽  
Ocular Perfusion

scholarly journals The Relationship between Low Ocular Perfusion Pressure with Acute Non-Arterial Anterior Ischemic Optic Neuropathy

2020 ◽  
Author(s):  
Xiaotang Wang ◽  
Runsheng Wang ◽  
Ying Wang ◽  
Xu Wang
Keyword(s):  
Blood Pressure ◽  
Optic Neuropathy ◽  
Statistical Difference ◽  
Perfusion Pressure ◽  
Blood Perfusion ◽  
Anterior Ischemic Optic Neuropathy ◽  
Ischemic Optic Neuropathy ◽  
Ocular Perfusion Pressure ◽  
Ocular Perfusion ◽  
The Relationship

Abstract Objective: To investigate the relationship between low ocular perfusion pressure (OPP) with acute non-arterial anterior ischemic optic neuropathy (ANAION).Methods: Forty- six patients (46 eyes) with ANAION from July 2010 to December 2016 were retrospectively analyzed. The 24-h intraocualr pressure (IOP) in sitting position was measured by non-contact tonometer. The brachial artery systolic blood pressure (SBP) and diastolic blood pressure (DBP) were simultaneously measured by electrocardiogram monitor. The 24-h OPP was calculated according to the measured blood pressure and intraocular pressure: OPP= 45% DBP-IOP. OPP< 10mmHg was defined as low OPP. Sudden visual acuity declining or visual field defect was recorded as the attack of ANAION. 24h was divided into four periods: period A (1-6 A.M), period B (6-12 A.M), period C (12-18 P.M) and period D (18-24 P.M). The correlation between low OPP and ANAION was analyzed. Statistical method was used by Person correlation analysis.Results: There was a statistical difference in the low OPP in the four periods (P< 0.05). The most common period of low OPP was period A (1-6 A.M), with the incidence of low OPP as high as 58.3%. There was a statistical difference in the incidence of ANAION in the four periods (P< 0.05). Most common time period of ANAION was also period A (1-6 A.M), with the incidence rate as high as 46.3%. Person correlation analysis showed that the period of low OPP was associated with the period of ANAION onset (r=0.934, P < 0.05).Conclusion: There was a significant clinical correlation between low OPP and ANAION. Period A (1-6 A.M) was the high-risk period for low OPP and ANAION. The occurrence of ANAION can be reduced by elevating the OPP to improve the blood perfusion of the anterior optic nerve.

scholarly journals The Association between Primary Open-Angle Glaucoma and Blood Pressure: Two Aspects of Hypertension and Hypotension

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Hye Jin Chung ◽  
Hyung Bin Hwang ◽  
Na Young Lee
Keyword(s):  
Blood Pressure ◽  
Primary Open Angle Glaucoma ◽  
Perfusion Pressure ◽  
Open Angle Glaucoma ◽  
Open Angle ◽  
Ocular Perfusion Pressure ◽  
Ocular Perfusion ◽  
Increased Risk ◽  
Low Blood Pressure ◽  
The Relationship

Glaucoma is the second leading cause of blindness worldwide. Although the mechanism of the development of primary open-angle glaucoma (POAG) is not fully understood, elevated intraocular pressure (IOP) is considered the most important risk factor. Several vascular factors have also been identified as risk factors and can lead to hypoperfusion of the optic nerve head and thus may play an important role in the pathogenesis and progression of POAG. The results of the present study suggest that both high and low blood pressure (BP) are associated with an increased risk of POAG based on a comprehensive literature review. Elevated BP is associated with elevated IOP, leading to increased risk of glaucoma, but excessive BP lowering in glaucoma patients may cause a drop in ocular perfusion pressure (OPP) and subsequent ischemic injury. The relationship between IOP, OPP, and BP suggests that the relationship between BP and glaucoma progression is U-shaped.

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