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Table 5 Predictors of retinal changes based on linear regression model

From: Retinal changes and cardiac biomarker assessment in relation to chronic kidney disease: a single centre study

Factors

Tortuosity (r2 = 0.066)

CRVE (r2 = 0.183)

CRAE (r2 = 0.024)

Macula Volume (r2 = -0.015)

Î’ coefficient

p-value

B coefficient

p-value

B coefficient

p-value

B coefficient

p-value

Age

0.000

0.602

1.626

0.010

0.376

0.252

0.005

0.567

Gender

-0.008

0.031

-16.8

0.268

-15.6

0.053

-0.134

0.561

BMI

0.000

0.174

2.472

0.058

0.896

0.189

0.013

0.501

Smoking

0.001

0.926

16.9

0.515

-3.71

0.787

1.0

0.012

Diabetes

-0.005

0.279

-6.16

0.750

5.77

0.572

-0.615

0.040

SBP

0.000

0.067

0.071

0.861

0.195

0.364

0.009

0.153

DBP

0.000

0.210

-0.106

0.916

-0.442

0.267

-0.013

0.260

LDL

-0.001

0.586

4.442

0.510

2.371

0.505

-0.062

0.548

HbA1c

0.003

0.047

6.96

0.320

-2.055

0.578

0.098

0.357

Hb

-0.002

0.091

-6.47

0.121

-3.406

0.122

-0.019

0.761

UPCI

-0.006

0.279

36.49

0.116

2.805

0.817

0.256

0.464

eGFR

0.000

0.472

-0.194

0.791

0.346

0.373

0.009

0.438

Hs-CRP

0.000

0.253

-1.336

0.045

-0.598

0.088

-0.004

0.667

ADMA

0.000

0.279

0.026

0.183

0.006

0.553

0.001

0.086

  1. *Multivariate linear regression model
  2. Abbreviations: BMI Body mass index, SBP Systolic BP, DBP Diastolic BP, LDL Low density lipoprotein, HbA1c Glycosylated haemoglobin, Hb Haemoglobin, UPCI Urine protein creatinine index, eGFR Estimated glomerular filtration rate, hs-CRP High sensitivity C-reactive protein, ADMA Asymmetric dimethylarginine