| Literature DB >> 35050344 |
Henrik Holvin Jacobsen1,2, Øystein Kalsnes Jørstad1,2, Morten C Moe1,2, Goran Petrovski1,2,3, Are Hugo Pripp4, Tiril Sandell1,5, Per Kristian Eide2,6.
Abstract
Purpose: To explore the ability of optical coherence tomography (OCT) to noninvasively estimate pulsatile and static intracranial pressure (ICP).Entities:
Mesh:
Year: 2022 PMID: 35050344 PMCID: PMC8787623 DOI: 10.1167/tvst.11.1.31
Source DB: PubMed Journal: Transl Vis Sci Technol ISSN: 2164-2591 Impact factor: 3.283
Figure 1.The pBA. The Bruch's membrane/retinal pigment epithelium is marked by a red line. The pBA (yellow) is the angle that is formed between the deviated peripapillary Bruch's membrane (red line) and the unaltered part (blue line). A mean of nasal and temporal angles was calculated.
Figure 2.The ONHH. A line connecting both sides (nasal-temporal) of the scleral canal opening (red line) was used as a reference line. The height was measured from the highest point of the optic nerve head to the reference line (yellow line).
Information About Demographics and ICP and OCT Scores
| Characteristic | IIH | REF |
|
|---|---|---|---|
| Number | 20 | 12 | |
| Gender (female/male), | 18/2 | 2/10 | <0.001 |
| Age (y) | 32.3 ± 9.6 | 33.9 ± 8.9 | ns |
| BMI (kg/m2) | 30.4 ± 5.1 | 29.1 ± 4.6 | ns |
| Papilledema (present/not present), | 7/13 | 0/12 | <0.001 |
| IOP (mm Hg) | 13.2 ± 3.3 | 13.8 ± 3.3 | ns |
| Spherical equivalent | –0.3 ± 1.2 | –0.6 ± 0.8 | ns |
| Overnight MWA | |||
| Average (mm Hg) | 6.7 ± 2.0 | 3.5 ± 0.5 | <0.001 |
| Percentage ≥5 mm Hg | 70.6 ± 20.9 | 7.3 ± 6.7 | <0.001 |
| Overnight mean ICP | |||
| Average (mm Hg) | 13.4 ± 5.6 | 6.8 ± 4.9 | 0.003 |
| Percentage ≥15 mm Hg | 26.9 ± 28.7 | 8.1 ± 17.8 | ns |
| OCT | |||
| pBA (degrees) | –0.24 ± 3.58 | –3.03 ± 2.76 | 0.038 |
| ONHH (µm) | 520.0 ± 139.1 | 385.2 ± 116.5 | 0.013 |
| Mean mGCC (µm) | 94.1 ± 12.7 | 99.2 ± 6.0 | ns |
| Mean peripapillary RNFL (µm) | 124.2 ± 77.8 | 101.1 ±12.3 | ns |
| Mean peripapillary TRT (µm) | 335.7 ± 67.8 | 322.8 ± 11.7 | ns |
| RNFL/mGCC | 1.%2 ± 0.6 | 1.0 ± 0.1 | ns |
| TRT/mGCC | 3.5 ± 0.5 | 3.3 ± 0.2 | ns |
Numbers given as mean ± standard deviation for continuous variables. Significant differences determined by independent samples t-test for continuous data and by Pearson χ2 test for categorized data. ns, nonsignificant.
Figure 3.Association between the pBA and pulsatile and static ICP scores. There was a significant positive correlation between (a) the pBA and the average overnight MWA and (b) between the pBA and the overnight percentage of MWA ≥5 mm Hg. No significant correlation was found between pBA and (c) average of overnight mean ICP or (d) overnight percentage mean ICP ≥15 mm Hg. Each plot shows the fit line and Pearson correlation coefficient with significance levels. ns, nonsignificant.
Figure 4.Association between the ONHH and pulsatile and static ICP scores. There was a significant positive correlation between (a) the ONHH and the average overnight MWA and (b) between the ONHH and the overnight percentage of MWA ≥5 mmHg. There also was significant positive correlation between (c) ONHH and average of overnight mean ICP but no correlation between (d) ONHH and overnight percentage mean ICP ≥15 mm Hg. Each plot shows the fit line and Pearson correlation coefficient with significance levels. ns, nonsignificant.
Ability of OCT to Predict Elevated MWA and Mean ICP
| OCT | ICP | Crude Estimate OR (95% CI), | AUC (95% CI) | Optimal Cut-Point | Sensitivity at Cut-Point | Specificity at Cut-Point |
|---|---|---|---|---|---|---|
| pBA | MWA (elevated) | 1.51 (1.09–2.08), 0.013 | 0.82 (0.66–0.98) | –0.65° | 0.75 | 0.92 |
| ONHH | 1.01 (1.00–1.02), 0.007 | 0.84 (0.70–0.99) | 405 µm | 0.88 | 0.69 | |
| pBA | Mean ICP (elevated) | 1.35 (0.96–1.91), ns | 0.72 (0.53–0.91) | –0.78° | 0.86 | 0.64 |
| ONHH | 1.01 (1.00–1.02), 0.007 | 0.79 (0.62–0.96) | 517 µm | 0.86 | 0.73 |
The predictive ability of the OCT parameters was determined by logistic regression analysis, including determination of OR and AUC with 95% confidence intervals. AUC, area under the curve; CI, confidence interval; OR, odds ratio.
Age and BMI-Adjusted Ability of OCT to Predict Elevated MWA and Mean ICP
| OCT | ICP | Crude Estimate OR (95% CI), | AUC (95% CI) |
|---|---|---|---|
| pBA | MWA (elevated) | 1.98 (1.17–3.36), 0.011 | 0.85 (0.68–1.00) |
| ONHH | 1.01 (1.00–1.02), 0.010 | 0.86 (0.72–0.99) | |
| pBA | Mean ICP (elevated) | 1.19 (0.79–1.81), ns | 0.79 (0.58–0.99) |
| ONHH | 1.01 (1.00–1.02), ns | 0.84 (0.68–1.00) |
The age and BMI-adjusted predictive ability of the OCT parameters was determined by logistic regression analysis, including determination of OR and the AUC with 95% confidence intervals.
Figure 5.Receiver operating curves for ability of OCT parameters to predict ICP scores. The pBA showed better ability to predict (a) the overnight MWA than (b) the overnight mean ICP. Likewise, the ONHH showed better ability to predict (c) the overnight MWA than (d) the overnight mean ICP. For details about ROC results, see Tables 2 and 3.