This study was limited by several important factors. First, we acquired only four 24-hour periods of continuous IOP in animal 24251 because the IOP transducer failed prematurely; our discussions with Konigsberg Instruments and with other users of the company's pressure telemetry systems indicate that a 10% to 15% failure rate is to be expected. The data reported for this animal fall within the high-drift phase of the IOP transducer, and so we are much less confident that the absolute IOP values reported in
Figures 8 and
11 are accurate. Although the absolute IOPs reported for this animal should be viewed with caution, the IOP distributions and nycthemeral rhythms within each 24-hour period should be relatively unaffected by the noted transducer drift. Second, we have not fully validated the source of the high-frequency IOP fluctuations seen in
Figure 3, although preliminary evidence suggests that they are due to blinks and saccades (Seigfreid WP, et al.
IOVS 2011;52:ARVO E-Abstract 656). Therefore, the results are focused on average IOP data for 2-hour time windows, in which these fluctuations are averaged out. In the future, we will use video monitoring of blinks and saccades that are time-synced to the IOP signal, along with optokinetic nystagmus (OKN) testing, to confirm the source of these fluctuations. It will also be necessary to perform in vitro experiments that mimic saccades to confirm that inertial effects of tube movement do not induce the IOP fluctuations that we recorded. Third, with the exception of the light–dark cycle, we did not monitor environmental conditions or food and water intake to isolate those variables from the IOP variations noted in
Figures 6 to
11. In the future, careful monitoring of sound, caretakers entering the room, cage changes, food and water intake, and all other environmental factors and events must be logged, to ensure that we are measuring true resting IOP in the implanted animals. Finally, we report IOP data for three nonhuman primates, and thus our ability to apply the conclusions reached to the primate population at large or to human subjects is limited.
As with all transducers in the implant system, the body temperature signal drifts with time and must be calibrated regularly, which we did not perform to simplify the protocol. Hence, we do not report body temperature data in this article. In addition, the circadian rhythms of body temperature known to occur in higher primates likely induce temperature-related fluctuations in the IOP signal. Konigsberg Instruments rates the battery and transmitter for the T30F implants used in this study at less than 0.01 mm Hg/°C of temperature-induced fluctuation. The IOP transducer itself is rated for less than a 0.5-mm Hg/°C change in IOP, although this temperature-induced fluctuation could be significant in light of the 1.8°C circadian variation in body temperature in female rhesus macaques.
48 Unfortunately, there is no way to predict the direction of the temperature-induced fluctuation in the IOP signal, and it is likely to be different between implants. Hence, the uncertainty of the temperature-induced fluctuation in the IOP signal must be factored into the weak nycthemeral pattern of IOP shown in
Figures 9 to
11.
We did not characterize the magnitude and extent of high-frequency IOP fluctuations in this report or focus our results on data for time windows shorter than 2 hours. The telemetry data are much more sensitive to high-frequency fluctuations and environmental variables in shorter time windows (
Figs. 3,
5), and some portion of the high-frequency data may be artifactual (e.g., inertial pressure effects of eye movement on the aqueous in the tube and environmental factors, as discussed above). In addition, most human IOP data are collected using snapshot devices that preclude IOP spikes from blinks and saccades. Hence, to compare our IOP telemetry data in primates to that from human studies, it is necessary to remove the high-frequency IOP spikes from the telemetry data and take shorter time-window averages of the resulting baseline IOP. The IOP signal validation and filtering necessary to accomplish this are not trivial, however, and so those data will be the subject of a future report.