Relationship between intraocular pressure and glaucoma onset and progression

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Open-angle glaucoma is a multifactorial disease, and among the several risk factors, a high intraocular pressure represents the most consistent and the only one that can be modified in order to provide a significant impact over the course of the disease. High intraocular pressure is significantly associated to the onset and the progression of open angle glaucoma, and the results of several randomised controlled clinical trials have consistently attributed a higher 10% higher risk for both the development and the progression of the disease to each higher single mmHg. Intraocular pressure has been studied in terms of mean value and short-term and long-term fluctuations. As of today the mean value represents the most significant factor whereas the importance of both short-term and long-term fluctuations is still debated.

Highlights

► Open-angle glaucoma is a multifactorial disease. ► High intraocular pressure (IOP) is the most consistent risk factor. ► It is the only one that can be modified in order to treat the disease. ► To each higher single mmHg it has been consistently attributed a 10% higher risk. ► The relevance of IOP fluctuations is still debated.

Introduction

Open-angle glaucoma (OAG) is an optic nerve disease in which intraocular pressure (IOP) causes structural and functional damage.

‘Risk factors’ and ‘prognostic factors’ respectively describe characteristics that are statistically related to the onset and progression of a given disease. However, a risk factor is not only statistically associated with the typical structural and functional abnormalities of a disease, but should have been present before their occurrence and can conceivably play a role in incident disease. The concept of risk factors is very important in medicine because each could be a potential target for treatment: for example, evidence of a behavioural risk factor (such as the close association between smoking and lung cancer) makes it possible to prescribe behavioural changes as a treatment in order to minimise disease incidence in a population.

The etiology of OAG is still not completely understood, but the current literature suggests that factors other than IOP (e.g. vascular risk factors) play a role in the multifactorial disease process [1, 2, 3]. However, IOP is still the only known modifiable factor, and the relationship between it and optic nerve damage is clearly causal: randomised trials have repeatedly shown that treatment aimed at lowering baseline IOP can be effective in preventing OAG onset (Ocular Hypertension Treatment Study (OHTS), European Glaucoma Prevention Studies (EGPS)) [4, 5] and progression (Early Manifest Glaucoma Treatment Trial (EMGT), Collaborative Initial Glaucoma Treatment Study (CIGTS), Advanced Glaucoma Intervention Study (AGIS)) [6••, 7, 8]. Even in normal tension glaucoma, the Collaborative Normal Tension Glaucoma Study (CNGTS) [9] has shown that IOP lowering is essential to prevent worsening the damage. The other so-called ‘risk factors’ that have been found to be closely related to OAG in many statistical analyses, such as age, the cup-to-disc ratio, visual field indices or a family history of OAG [4, 10, 11] may be more an expression of cumulative damage or ‘fellow-travellers’ than causes.

This chapter will consider the best evidence indicating that IOP is a risk and prognostic factor in OAG and, as Information obtained from randomised, controlled clinical trials is the gold standard influencing clinical care decisions, clinical evidence from major, multicentred clinical trials or population-based studies will be preferentially taken into account.

Despite its limitations, such as the fact that the measurements are affected by corneal thickness and other ocular biomechanical parameters (corneal curvature, stiffness, and viscoelastic properties), it is important to bear in mind that Goldmann applanation tonometry (GAT) is still the only technique that can be used as a reference method [12]. Many alternative means of measuring IOP such as I-care tonometry, the Pascal contour dynamic tonometer and the ocular response analyser (ORA) have been developed and tested over the last few years, but the data are still controversial and so the only standardised device we can rely on is still the Goldmann tonometer.

Section snippets

Evidence that IOP is a risk factor for the onset of OAG

The change from health to the development of OAG has been investigated in longitudinal population studies: that is, a population in a given area is examined at baseline and then re-checked at several time points afterwards in order to screen for the presence of the disease. It is possible in such studies to find statistical associations between certain baseline characteristics and disease incidence. The most important population-based studies of the incidence of primary OAG (POAG) have involved

Evidence that IOP is a risk factor for the progression of OAG

Over the past ten years, many studies have assessed the behaviour of subjects with OAG receiving medical, laser or surgical treatment. The most important multi-centred clinical trials are the CIGTS [7], the EMGT [6••], and the AGIS [8], all of which provided considerable information concerning IOP and the progression of glaucoma.

The CIGTS involved 607 patients who were randomised to receive medical or surgical treatment and followed up for 3–9 years. Above all, analysis of the data showed that

The role of IOP fluctuations in causing VF deterioration

To evaluate whether IOP fluctuations are an independent risk factor for glaucoma is not easy. The first problem is that that there are three kinds of IOP fluctuation: ‘circadian fluctuations’ (i.e. the pattern of IOP variation throughout the 24 hours; ‘short-term fluctuations’, which means the total variations during the same day (random variations as well as variations related to the circadian pattern); and ‘long-term fluctuations’ or the changes in IOP measured over multiple office visits.

Conclusions

Several risk, predictive and prognostic factors for OAG have been reported over the past decade. The most consistent factors are older age and higher baseline IOP. Currently, there is very little we can do about age, since it is most probably a surrogate risk factor for other potentially more important factors, for example, mitochondrial functioning. Since IOP can be lowered either medically or surgically, it is a modifiable risk or prognostic factor for OAG. The mechanism of action of IOP on

References and recommended reading

Papers of particular interest, published within the period of review, have been highlighted as:

  • • of special interest

  • •• of outstanding interest

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