Distribution of ocular biometric parameters and optimal model of anterior chamber depth regression in 28,709 adult cataract patients in China using swept‐source optical biometry

Abstract Background The purpose of this study was to evaluate the ocular biometric parameters in adult cataract patients from China and create an anterior chamber depth (ACD) regression model. Methods records 28,709 right eyes surgery candidates who were treated at Aier Eye Hospitals nine cities 2018 2019 retrospectively analyzed. All measurements taken with IOLMaster 700. We included least 40 years old diagnosed cataract. Results mean age 68.6 ± 11.0 years. values recorded as follows: axial length (AL), 24.17 2.47 mm; keratometry (Km) value, 44.26 1.70 D; corneal astigmatism (CA), 1.06 0.96 ACD, 3.02 0.45 lens thickness (LT), 4.52 central (CCT), 0.534 0.04 white (WTW) diameter, 11.64 0.46 mm. ACD correlated positively AL (Spearman coefficient, 0.544) WTW (0.300), but negatively LT (-0.660) (-0.285) (all P < 0.01). In multivariate analysis which LT, AL, WTW, sex, Km, CCT, age, there a reasonable prediction adjusted R 2 = 0.641. Conclusions Cataract longer wider have deeper ACD. With increasing thickening becomes shallower. Based on standardized coefficients study, is main factor that affects followed by AL.