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Table 3 Univariable and multivariable linear regression analyses for the prediction of myocardial fibrosis

From: Novel insights into myocardial fibrosis in patients with new onset ST-elevation myocardial infarction following percutaneous coronary intervention through enhanced cardiac magnetic resonance imaging: a prospective cohort study

Variable

Univariable Model

Multivariable Model

Variable

β

p value

β

p value

Current smoker, n(%)

0.017

0.880

  

TN-I (µg/L)

0.349

0.002

  

LDL-C (mmol/L)

0.094

0.416

  

CK-MB (U/L)

0.082

0.488

  

Symptom onset to reperfusion (h)

-0.039

0.742

  

NT-proBNP

2.444

0.017

  

Gensini score

0.456

0.000

0.258

0.004

LVEDV (mL)

0.300

0.008

  

LVESV (mL)

0.496

0.001

  

LVEF (%)

-0.598

0.001

-0.269

0.022

Myocardial mass

0.379

0.001

  

MVO

0.523

0.000

0.343

0.000

WMA

0.336

0.003

  

GRS

-0.434

0.000

  

GCS

-0.547

0.000

-0.227

0.037

GLS

-0.437

0.001

  

IRS

-0.380

0.000

  

ICS

-0.517

0.001

  

ILS

-0.424

0.000

  
  1. Note: LDL-C: low-density lipoprotein cholesterol; CK-MB: creatinine kinase (MB); TN-I: troponin-I; NT-proBNP: N-terminal pro brain natriuretic peptide; LVEDV: left ventricular end-diastolic volume; LVESV: left ventricular end-systolic volume; LVEF: left ventricular ejection fraction; MVO: microvascular obstruction; WMA: wall motion abnormality; GRS: global radial strain; GCS: global circumferential strain; GLS: global longitudinal strain; IRS: infarcted segment radial strain; ICS: infarcted segment circumferential strain; ILS: infarcted segment longitudinal strain