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Table 5 Multiple linear regression analysis showing the effect of confounding parameters on serum biomarkers in RVVI, RVVI types, and controls

From: Impaired PRR expression modulates inflammation-triggered oxidative stress and pathogenesis of recurrent vulvovaginal infections

MLR equations

β-regression coefficients

r

F

p

β1

p

β2

p

β3

p

β4

p

RVVI

 sMBL = 421.126–2.500 X1 + 0.014 X2 + 19.33X3+9.688X4

− 0.039

0.541

0.001

0.981

0.135

0.034*

0.018

0.217

0.153

1.515

0.198

 sDectin-1 = 0.610+0.000 X1+0.000 X2–0.007X3–0.002X4

− 0.039

0.540

− 0.035

0.585

− 0.142

0.025*

− 0.055

0.380

0.174

1.981

0.098

 sTAC = 1.445–0.003X1 + 0.000 X2–0.026X3 + 0.00X4

− 0.053

0.400

− 0.090

0.148

− 0.214

0.001***

− 0.005

0.940

0.258

4.526

0.002**

 sTOS = 19.13−0.053 X1–0.084 X2−0.181 X3–0.013 X4

− 0.057

0.375

0.000

0.994

− 0.088

0.169

− 0.008

0.906

0.113

0.824

0.511

 sOSI = 0.022 + 0.000 X1−0.0029 X2 + 0.096 X3 + 0.0495X4

0.049

0.454

− 0.005

0.935

0.016

0.802

0.009

0.885

0.005

0.191

0.943

BV

 sMBL = −141.73–2.692 X1 + 1.715 X2 + 38.78X3−15.87X4

− 0.051

0.622

0.076

0.452

0.323

0.003**

− 0.128

0.229

0.317

2.562

0.044*

 sDectin-1 = 0.357−0.001 X1 + 0.002 X2–0.007X3–0.004X4

− 0.062

0.552

0.215

0.037*

− 0.153

0.147

− 0.731

0.467

0.290

2.112

0.086

 sTAC = 1.727–0.004X1−0.002 X2–0.033X3 + 0.001X4

− 0.075

0.465

− 0.118

0.238

− 0.306

0.004**

0.007

0.950

0.352

3.247

0.015*

 sTOS = 23.349–0.117X1–0.034X2−0.122 X3–0.018 X4

− 0.139

0.198

− 0.093

0.371

− 0.063

0.556

− 0.009

0.935

0.199

0.952

0.438

 sOSI = 0.028 + 0.0241X1 + 0.000 X2 + 0.000 X3 + 0.000 X4

0.010

0.926

− 0.107

0.305

0.086

0.423

0.163

0.135

0.218

1.152

0.337

VVC

 sMBL = − 14.863 +2.938 X1−0.881 X2+23.468X3+39.35X4

0.053

0.676

− 0.091

0.484

0.204

0.109

0.393

0.002**

0.412

0.291

0.029*

 sDectin-1 = 0.944−0.007 X1+0.000 X2–0.013X3–0.005X4

− 0.311

0.013*

− 0.077

0.541

− 0.272

0.029*

− 0.134

0.264

0.466

3.950

0.007**

 sTAC = 1.797–0.003X1−0.001 X2–0.037X3 + 0.015X4

− 0.046

0.721

− 0.089

0.504

− 0.264

0.045*

0.126

0.322

0.342

1.885

0.126

 sTOS = 1.410 + 0.156 X1 + 0.023 X2 + 0.209 X3–0.011 X4

0.172

0.196

0.143

0.293

0.112

0.399

− 0.007

0.960

0.291

1.320

0.274

 sOSI = − 0.007 + 0.001 X1 + 0.027 X2 + 0.001 X3+0.000 X4

0.184

0.166

0.057

0.671

0.139

0.291

− 0.158

0.222

0.312

1.533

0.205

MI

 sMBL = − 894.80 + 0.254 X1−0.013 X2 + 85.56X3−21.53X4

0.003

0.987

− 0.002

0.992

0.422

0.007**

− 0.181

0.233

0.492

2.880

0.036*

 sDectin-1 = 0.274+0.002 X1 + 0.000 X2 + 0.003X3–0.007X4

0.070

0.699

− 0.062

0.733

0.059

0.726

− 0.197

0.247

0.228

0.493

0.741

 sTAC = 1.117–0.004X1−0.001 X2–0.008X3 + 0.004X4

− 0.047

0.796

− 0.185

0.313

− 0.039

0.814

− 0.031

0.856

0.218

0.047

0.774

 sTOS = 35.73−0.296 X1−0.010 X2−0.760 X3 + 0.496 X4

− 0.224

0.166

− 0.096

0.548

− 0.280

0.062

0.311

0.040*

0.523

3.391

0.019*

 sOSI = 0.105 + 0.000 X1–0.098 X2–0.004 X3 + 0.000 X4

0.071

0.686

− 0.021

0.904

− 0.332

0.047*

− 0.049

0.765

0.327

1.078

0.382

HC

 sMBL = 1885.16−9.76 X1−4.422 X2 + 6.967X3

− 0.099

0.166

− 0.065

0.362

0.036

0.619

–

–

0.114

0.870

0.458

 sDectin-1 = 0.204 + 0.000 X1 + 0.000 X2+0.001X3

0.036

0.618

− 0.072

0.071

0.030

0.026*

–

–

0.087

0.504

0.680

 sTAC = 0.847 + 0.003X1− 0.001 X2 + 0.005X3

0.038

0.596

− 0.023

0.743

0.033

0.646

–

–

0.058

0.225

0.879

 sTOS = 5.048−0.034 X1 + 0.154 X2 + 0.032 X3

− 0.024

0.738

0.155

0.030*

0.011

0.876

–

–

0.160

1.737

0.161

 sOSI = 0.029 + 0.000 X1 + 0.093 X2 + 0.0134X3

− 0.090

0.208

0.044

0.533

0.002

0.975

–

–

0.103

0.714

0.545

  1. X1 = age (years), X2 = RCBG (mg/dl), X3 = age of initiation of sexual activity (years), X4 = duration of infection (years); beta regression coefficients: β1 = age, β2 = RCBG, β3 = age of initiation of sexual activity, β4 = duration of infection; r = multiple correlation coefficient; *, **, and *** indicate significant at p ≤ 0.05, p ≤ 0.01, and p ≤ 0.001 respectively