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Table 3 Logistic models for cardiogenic shock and congestive heart failure

From: Association of the systemic immune-inflammation index with clinical outcomes in acute myocardial infarction patients with hypertension

cardiogenic shock

Congestive heart failure

Variable

OR(95%CI)

P value

Variable

OR(95%CI)

P value

Model 1

  

Model 1

  

Q1

Ref

 

Q1

Ref

 

Q2

2.183 (1.473, 3.290)

< 0.001

Q2

1.446 (1.184, 1.767)

< 0.001

Q3

2.128 (1.433, 3.211)

< 0.001

Q3

2.057 (1.678, 2.524)

< 0.001

P for trend

 

< 0.001

P for trend

 

< 0.001

Model 2

  

Model 2

  

Q1

Ref

 

Q1

Ref

 

Q2

2.221 (1.493, 3.357)

< 0.001

Q2

1.420 (1.156, 1.745)

0.001

Q3

2.193 (1.466, 3.333)

< 0.001

Q3

1.949 (1.579, 2.409)

< 0.001

P for trend

 

< 0.001

P for trend

 

< 0.001

Model 3

  

Model 3

  

Q1

Ref

 

Q1

Ref

 

Q2

2.223 (1.494, 3.363)

< 0.001

Q2

1.393 (1.129, 1.719)

0.002

Q3

2.198 (1.465, 3.348)

< 0.001

Q3

1.843 (1.486, 2.288)

< 0.001

P for trend

 

< 0.001

P for trend

 

< 0.001

Model 4

  

Model 4

  

Q1

Ref

 

Q1

Ref

 

Q2

1.930 (1.271, 2.974)

0.002

Q2

1.255 (1.006, 1.565)

0.045

Q3

1.491 (0.939, 2.393)

0.093

Q3

1.565 (1.220, 2.009)

< 0.001

P for trend

 

0.172

P for trend

 

< 0.001

  1. Model 1 Univariate model. Model 2adjusted for age, gender and race. Model 3 adjusted for model 2 plus diabetes mellitus, COPD.Model 4 adjusted for model 3 plus lactate, albumin, urea nitrogen, creatinine, AST, monocyte count, hemoglobin, white blood cell count, HDL, LDL, TC, TG and SpO2
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BMC Immunology

ISSN: 1471-2172

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