Table 1.

Multiple Regression Models Using Mixed Repeated Measures Models, Predicting Vitreous and Water Flow Rates for Increasing Aspiration and Cut Rates.

	Parameter estimate±SE	P-value
Vitreous flow rates
Core - R² = 0.91
Intercept	-0.01461
Aspiration (per 100 mmHg increase)	0.008873±0.000270	<0.001
CPM (per 1000 increase)	0.003703±0.000541	<0.001
50-50 - R² = 0.87
Intercept	-0.01680
Aspiration (per 100 mmHg increase)	0.007717±0.000360	<0.001
CPM (per 1000 increase)	0.005035±0.000434	<0.001
Shave - R² = 0.86
Intercept	-0.02253
Aspiration (per 100 mmHg increase)	0.006478±0.000363	<0.001
CPM (per 1000 increase)	0.006666±0.000439	<0.001
Water flow rates
Core - R² = 0.94
Intercept	0.06928
Aspiration (per 100 mmHg increase)	0.03961 ±0.0001029	<0.001
CPM (per 1000 increase)	-0.02142±0.002126	<0.001
50-50 - R² = 0.96
Intercept	0.01224
Aspiration (per 100 mmHg increase)	0.03325±0.000633	<0.001
CPM (per 1000 increase)	-0.00386±0.001191	0.002
Shave - R² = 0.86
Intercept	-0.05495
Aspiration (per 100 mmHg increase)	0.02300±0.001146	<0.001
CPM (per 1000 increase)	0.01775±0.001384	<0.001

R² = coefficient of determination, CPM = cuts per minute, SE= standard error