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Table 3 Factors associated with an increase in the number of drugs involved in CYP3A4-related potential DDIs

From: Characteristics of CYP3A4-related potential drug-drug interactions in outpatients receiving prescriptions from multiple clinical departments

 

B

SE

b

t-value

p-value

VIF

Age

-0.004

0.005

-0.030

-0.737

0.461

1.316

Sex (0: male, 1: female)

-0.270

0.142

-0.076

-1.905

0.058

1.255

Number of clinical departments

0.235

0.157

0.059

1.499

0.135

1.215

Agents affecting central nervous system

0.425

0.047

0.352

9.038

 < 0.01*

1.200

Agents affecting peripheral nervous system

-0.443

0.332

-0.049

-1.335

0.183

1.063

Agents affecting sensory organs

-0.052

0.262

-0.007

-0.200

0.842

1.037

Cardiovascular agents

0.515

0.048

0.450

10.847

 < 0.01*

1.362

Respiratory organ agents

0.104

0.139

0.029

0.753

0.452

1.209

Digestive organ agents

0.247

0.058

0.168

4.250

 < 0.01*

1.230

Hormones

0.280

0.172

0.061

1.631

0.104

1.121

Urogenital and anal organ agents

0.861

0.113

0.330

7.603

 < 0.01*

1.493

Vitamins

-0.123

0.097

-0.049

-1.275

0.203

1.179

Nutrients, tonics

0.063

0.298

0.008

0.212

0.832

1.094

Blood and body fluid agents

0.623

0.161

0.149

3.868

 < 0.01*

1.169

Other agents affecting metabolism

0.309

0.058

0.209

5.289

 < 0.01*

1.231

Antineoplastics

0.366

0.295

0.045

1.243

0.215

1.054

Allergic agents

0.543

0.113

0.198

4.808

 < 0.01*

1.348

Traditional Chinese medicines

-0.284

0.257

-0.040

-1.102

0.271

1.054

Antibiotics

0.585

0.250

0.095

2.345

0.020*

1.292

Chemotherapeutics

0.533

0.508

0.039

1.051

0.294

1.079

Alkaloidal narcotics

1.180

0.548

0.078

2.152

0.032*

1.052

  1. DDIs Drug-drug interactions, B Partial regression coefficient, SE Standard error, b Standardized partial regression coefficient, VIF Variance inflation factor
  2. *P < 0.05