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Table 3 Single binary logistic regression analysis results

From: Construction of a nomogram model for deep vein thrombosis in patients with tibial plateau fracture based on the Systemic Inflammatory Response Index

Variable

OR[95%CI]

p

Sex

 

0.087

 Male

1

 

 Female

0.639[0.383–1.066]

 

Age

 

0.033

 ≤ 47.8

1

 

 > 47.8

1.020[1.002–1.038]

 

Hypertension

 

0.100

 No

1

 

 Yes

2.120[0.866–5.186]

 

Diabetes

 

0.146

 No

1

 

 Yes

2.250[0.754–6.716]

 

Smoke

 

0.945

 No

1

 

 Yes

1.021[0.567–1.838]

 

Alcoholism

 

0.649

 No

1

 

 Yes

0.814[0.335–1.976]

 

RBC

 

0.755

 ≤ 4.3

1

 

 > 4.3

0.858[0.329–2.240]

 

WBC

 

 < 0.001

 ≤ 10.1

1

 

 > 10.1

7.253[4.106–12.813]

 

HGB

 

0.704

 ≤ 121.6

1

 

 > 121.6

0.908[0.552–1.494]

 

NC

 

 < 0.001

 ≤ 7.6

1

 

 > 7.6

10.326[5.680–18.774]

 

LYM

 

 < 0.001

 ≤ 1.7

1

 

 > 1.7

0.382[0.224–0.651]

 

MONO

 

0.009

 ≤ 0.7

1

 

 > 0.7

1.961[1.184–3.247]

 

SIRI

 

< 0.001

 ≤ 3.95

1

 

 > 3.95

6.844[3.963–11.820]

 

Eos

 

0.043

 ≤ 0.15

1

 

 > 0.15

0.559[0.319–0.981]

 

Baso

 

0.011

 ≤ 0.04

1

 

 > 0.04

0.499[0.292–0.852]

 

PCT

 

0.348

 ≤ 0.23

1

 

 > 0.23

1.271[0.770–2.097]

 

PT

 

0.946

 ≤ 11.51

1

 

 > 11.51

1.059[0.201–5.584]

 

APTT

 

0.873

 ≤ 30.94

1

 

 > 30.94

0.957[0.558–1.642]

 

FIB

 

0.976

 ≤ 3.92

1

 

 > 3.92

0.992[0.576–1.706]

 

ALB

 

0.124

 ≤ 40.72

1

 

 > 40.72

0.660[0.389–1.121]

 

GGT

 

0.536

 ≤ 74.52

1

 

 > 74.52

1.199[0.675–2.131]

 

AST

 

0.119

 > 37.35

1

 

 ≤ 37.35

1.632[0.881–3.021]

 

ALT

 

0.393

 > 32.48

1

 

 ≤ 32.48

1.282[0.725–2.268]

 

TBIL

 

0.425

 ≤ 12.64

1

 

 > 12.64

1.248[0.724–2.151]

 

Cr

 

0.502

 > 65.87

1

 

 ≤ 65.87

1.206[0.698–2.084]