NHMRC Glaucoma Guidelines - ANZGIG
NHMRC Glaucoma Guidelines - ANZGIG
NHMRC Glaucoma Guidelines - ANZGIG
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<strong>NHMRC</strong> GUIDELINES FOR THE SCREENING, PROGNOSIS, DIAGNOSIS, MANAGEMENT AND PREVENTION OF GLAUCOMA<br />
Chapter 6 – Identifying those at risk of developing glaucoma<br />
Recommendation 7<br />
Assess risk of progression of glaucomatous damage<br />
Good Practice Points<br />
• Calculate the rate of visual field loss regularly (for example review every four months) for the first two<br />
years, and then less frequently (for example every six months) thereafter if stable. This will depend on<br />
the health care setting and the individual patient’s risk of progression.<br />
• Reduce IOP by 20-50% in patients with glaucomatous optic neuropathy depending on the level of risk<br />
to preserve visual field and to reduce progression.<br />
• Reduce IOP more aggressively in those patients with greater risk factors for progression.<br />
• Patients diagnosed late, with more advanced glaucoma damage, suffer higher rates of progression of<br />
visual loss. More aggressive IOP reduction is required.<br />
Introduction<br />
There is a strong body of research, developed over many years that has established the risk factors<br />
for glaucoma development and progression. However, a standard approach is still required to<br />
organise these risk factors into a hierarchy of risk, including the best ways of assessing them,<br />
and identifying how they interact with disease incidence, prevalence and progression. There are<br />
ongoing questions regarding which patients should be treated, how vigorously to treat them,<br />
and when to initiate treatment. Overall, the literature presents general agreement regarding the<br />
significant association between elevated intraocular pressure (IOP), advancing age, ethnicity and<br />
family history concerning the risks for developing most types of glaucoma.<br />
Risk calculators have been developed to facilitate the application of research findings into clinical<br />
practice. Risk calculators work by applying risk-prediction coefficients from multivariate analysis<br />
from clinical trials and epidemiological studies into risk-modelling formulae that can be applied<br />
to individual patients. Risk calculators are based on an assumption that each patient comes from<br />
a similar population as participated in the clinical trial. Health care providers enter the patient’s<br />
clinical findings into the formulae to calculate the likelihood of that patient developing glaucoma,<br />
or progressing to another stage of the disease. Risk calculators have also been useful for assisting<br />
patients and their health care providers to make decisions about treatment (Mansberger & Cioffi<br />
2006; Gordon, Torri, Miglor et al 2007).<br />
However, risk calculators tend not to include confidence intervals (which are often quite large)<br />
and thus can give a false impression of reliability in terms of prediction. The performance of<br />
the predictive models derived from the Ocular Hypertension Treatment Study was assessed by<br />
Meirdeiros, Zangwill, Bowd et al (2007). They concluded that the Ocular Hypertension Treatment<br />
Study-derived predictive models performed appropriately in independent patient samples.<br />
Their reduced model included age, IOP and central corneal thickness (CCT). The full model<br />
included these and visual field (VF) pattern standard deviation and vertical cup:disc ratio. Both<br />
models predicted conversion of ocular hypertension (OH) to glaucoma at five years in 70% of<br />
cases. A prediction score of 50% indicates random chance, i.e. no additional predictive value<br />
whereas 100% indicates perfect prediction. Whilst these models have some value, they are far from<br />
perfect. Future refinement of optic nerve damage indices and indicators of nerve structure should<br />
improve the accuracy of these models.<br />
The majority of risk factors which are significantly associated with the development of glaucoma<br />
can be identified and measured using a comprehensive patient history. However other important<br />
48 National Health and Medical Research Council