IOP is a dynamic parameter that is subject to circadian fluctuation (short-term fluctuation) as well as variations over time (long-term fluctuation). As clinicians follow their patients over time, they are frequently challenged by these forms of variation and how they could affect treatment and progression. It is important to notice that IOP peaks detected between office visits are significantly lower than those detected during diurnal curves, as shown by Barkana et al.
52
IOP peaks are potentially an important cause of glaucoma progression
53–55 and most of the time are not detected during office hours.
52,56 Twenty-four-hour pressure monitoring may be the best way to assess the IOP profile and detect peaks; however, this is a time- and resource-consuming test rarely feasible in routine practice. As an alternative, a modified diurnal tension curve is more frequently performed and consists of four to five IOP measurements during office hours (e.g., from 8 AM to 6 PM). Also, IOP measurements at different times of the day between different days can also be used to assess IOP peaks. Limitations to these approaches are that more than 50% of IOP peaks occur outside office hours.
52 In addition to this between-visit IOP variability, there is an “ultra-short-term” IOP fluctuation that we are unable to measure in vivo in humans and thus we know little about its importance. This variability corresponds to a “second-to-second” fluctuation that relates to IOP changes from squeezing the eyes, eye movements, and even blinks, for instance. Semicontinuous IOP monitoring using a contact lens sensor has been evaluated in humans,
57 although there is currently no study testing whether these transient IOP spikes play a significant role in glaucoma progression. Another issue is that these contact lens sensors do not provide direct estimation of the IOP in millimeters of mercury. Rather, this technology provides values corresponding to the relative variation of the electrical signal from spontaneous circumferential changes at the corneoscleral area. Although these measures correlate with fluctuations in IOP,
57 they can be influenced by intersubject differences in corneal curvature, thickness, and hysteresis. It also remains unclear how these transient IOP changes are counter-balanced by the eye's auto regulatory mechanisms, such as changes in blood flow and cerebrospinal fluid pressure, and how these mechanisms differ between healthy and glaucomatous eyes. In this context, the water-drinking test (WDT) has been proposed as a practical alternative method to evaluate IOP profile of glaucomatous patients.
58–61 The WDT has been shown to be superior to detecting IOP peaks compared with the modified diurnal tension curve.
62
High mean IOP has also been consistently associated with glaucoma progression.
63,64 While peak IOP detection is based on measurements at office visits, the mean IOP requires longitudinal IOP data collection and may be affected by the interval between visits. Establishing a target peak IOP is clinically easier than establishing a target mean IOP in many patients.
54 Despite this advantage and some evidence in the literature that peak IOP may play a greater role on progression than mean IOP, comparative studies investigating whether treatment interventions based on peak or mean IOP targets lead to slower rates of progression are not yet available.
The importance of IOP fluctuation as a factor for glaucoma progression is debatable in the literature. Some authors suggest that it is important.
65–67 Other authors considered that IOP fluctuation is not an independent risk factor for glaucoma onset or progression.
63,64,68 This discrepancy may be due to the use of different hypotensive medications, different populations and study designs, as well as the lack of a standard definition and reproducibility of IOP fluctuation.
69,70 The true role of IOP fluctuation, including both short- and long-term variability, has not yet been adequately addressed in clinical trials given the difficulty in performing diurnal curves in all patients on a regular basis.
Excessive IOP lowering regimens to slow progression (based either on mean or peak IOP) need to be weighed against patient-specific characteristics and side-effects. For instance, it has been shown that the impact of dry eyes secondary to glaucoma medications on quality-of-life is similar to a 10 dB loss in the visual field MD.
71 For some patients, certain types of medical therapy or surgery are contraindicated despite detected IOP peaks considered hazardous. Recent new drugs and surgical modalities are promising options and may enhance the repertoire of treatment options in these patients.