The prestudy power calculation with α = 0.05 and β = 0.80 revealed that a sample size of 49 in each group would be necessary to detect a mean ICP difference of 2 mm Hg at the 95% CI between the groups, assuming that mean ICP is 13 ± 3.0 mm Hg2 and mean IOP is 16 ± 4 mm Hg.
Data were presented as the mean ± SD for continuous variables and as frequency and percentage for categorical variables. The significance of the difference between groups was assessed with independent-sample t-tests. Linear regression analysis was used to determine the significance of the relationship between predictors and ICP. Multivariate linear regression was performed by using all recorded variables to determine whether POAG and NTG were independently associated with lower ICP and whether OHT was independently associated with a higher ICP. These variables included group designation (POAG, OHT, POAG control, or OHT control), age, sex, indication for LP (altered mental status, rule-out meningitis, headache, normal pressure hydrocephalus, seizure, stroke, peripheral neuropathy, and other), medical history (diabetes, hypertension, stroke), systemic medication use (diuretic, β-blocker, angiotensin converting enzyme inhibitors, other antihypertensives, and glucocorticoids), topical antiglaucoma medications (β-blockers, prostaglandin analogues, α-agonists, and topical carbonic anhydrase inhibitors), CSF protein concentration, CSF glucose concentration, cup-to-disc ratio, maximum IOP, and IOP closest to the date of lumbar puncture. Analysis of covariance was also performed.