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Table 4 Univariate and multivariate logistic regression analysis for presence of SCFP

From: Triglyceride glucose-body mass index as a novel predictor of slow coronary flow phenomenon in patients with ischemia and nonobstructive coronary arteries (INOCA)

 

Univariate analysis

Multivariate analysis

OR

95% CI

P值

OR

95% CI

P值

BMI

1.121

1.015–3.369

0.028

1.118

1.011–3.391

0.033

Dyslipidemia

1.320

1.012–5.321

0.025

1.335

0.892–6.124

0.512

Hypertension

1.391

1.081–4.213

0.037

1.353

0.798–4.332

0.429

Diabetes mellitus

1.521

1.069–3.528

0.027

1.426

0.802–4.015

0.461

Fasting glucose

1.624

1.092–3.568

0.026

1.582

0.821–3.602

0.380

Total cholesterol

2.021

1.123–8.231

0.035

1.995

0.726–8.059

0.624

Triglyceride

2.465

1.109–7.265

0.019

2.424

1.117–8.021

0.030

LDL-C

1.925

1.039–5.321

0.029

1.902

0.914–5.394

0.295

TyG-BMI/10

1.526

1.017–8.022

0.024

1.582

1.064–8.204

0.019

  1. BMI body mass index, LDL-C low-density lipoprotein cholesterol, TyG-BMI triglyceride glucose-body mass index