A Possible Regression Equation for Predicting Visual Outcomes after Surgical Repair of Open Globe Injuries

Table 3

The influences of thirteen independent variables on the final visual outcome using the multiple linear regression analysis.

Independent variable	Regression coefficient	value
Constant	0.740	0.017
Number of surgeries	0.049	0.793
Age	0.008	0.051
Performance of pars plana vitrectomy	0.440	0.106
Lens status^1
Traumatic cataract (L1)	0.193	0.401
Aphakia after initial trauma (L2)	1.038	<0.001
Affected tissue^2
Scleral (E1)	−0.052	0.842
Corneoscleral (E2)	0.000	0.998
Intravitreal hemorrhage	−0.251	0.189
Intraocular foreign body	−0.086	0.707
High intraocular pressure during follow-up	−0.486	0.108
Anterior segment inflammation during follow-up	−0.048	0.805
Loss of iris tissue	0.769	<0.001
Penetrating injury	−0.376	0.027
Cutting any prolapsed vitreous in the primary surgery	−0.607	0.012
Time interval between the trauma and repair	−0.008	0.166

⁢. ¹If L1 = 0 and L2 = 0, the independent variable was no lenticular pathology. If L1 = 1 and L2=0, the independent variable was traumatic cataract. If L1 = 0 and L2 = 1, the independent variable was aphakia during primary surgery.
²If E1 = 0 and E2 = 0, the independent variable was corneal perforation. If E1 = 1 and E2 = 0, the independent variable was scleral perforation. If E1 = 0 and E2 = 1, the independent variable was corneoscleral perforation.