Table 1 Univariate logistic regression analysis results with ORs and 95% confidence intervals for each predictor.

From: Predictive modeling of lower extreme deep vein thrombosis following radical gastrectomy for gastric cancer: based on multiple machine learning methods

Variables

Type

Beta

SE

OR (95% CI)

P-value

Age

 

0.126

0.02824

1.134(1.077–1.203)

 < 0.001

Blood transfusion volume

 

0.002

0.00082

1.002(1.001–1.004)

0.004

Operation type

 

Laparoscopic

Reference

   

Open

1.163

0.47001

3.201(1.352–8.824)

0.013

Tumor location

 

Cardia

Reference

   

Body

 − 0.541

0.49237

0.582 (0.227–1.612)

0.272

Antrum

 − 1.172

0.5383

0.31(0.107–0.917)

0.029

Blood type

 

A

Reference

   

B

1.249

0.60478

3.486(1.134–12.97)

0.039

AB

 − 14.928

972.3377

3.285 (5.978–95,442)

0.988

O

1.259

0.57847

3.523(1.232–12.64)

0.029

CA125

 

0.02

0.00834

1.02(1.001–1.037)

0.019

TG

 

 − 1.374

0.50528

0.253(0.086–0.621)

0.007

LDL

 

 − 0.763

0.27571

0.466(0.267–0.789)

0.006

HGB

 

 − 0.033

0.01001

0.968(0.949–0.987)

0.001

D-D

 

0

0.00004

1(1–1)

0.026

INR

 

3.069

1.20121

21.53(1.783–239.9)

0.011

K+

 

 − 1.388

0.51167

0.25(0.089–0.661)

0.007

Cl

 

0.177

0.05425

1.194(1.074–1.33)

0.001

Ca2+

 

 − 5.764

1.59846

0.003(0–0.033)

 < 0.001

  1. GC Gastric Cancer, SE Standard Error, OR Odds Ratio, CI Confidence Interval, TG Triglycerides, LDL Low-Density Lipoprotein, HGB Hemoglobin, D-D D-Dimer, INR International Normalized Ratio.