Table 2 Multi-factor Logistics regression analysis based on LASSO regression

0.028

1.039(1.01–1.069)

0.007^**

0.019

1.019(1.003–1.005)

0.010^*

-0.023

0.977(0.956–0.999)

0.040^*

-0.022

0.978(0.943–1.015)

0.240

1.910

6.756(3.119–14.635)

< 0.001^***

-0.472

1.603(0.864–2.973)

0.134

-0. 311

1.365(0.761–2.448)

0.296

-0.260

1.297(0.559–3.009)

0.544

0.615

1.849(1.024–3.337)

0.041^*

1.880

6.552(1.465–29.305)

0.014^*

-0.025

0.975(0.932–1.020)

0.274

0.021

1.020(0.945–1.103)

0.601

0.142

1.153(1.004–1.323)

0.043^*

-1.503

0.222(0.116–0.482)

< 0.001^***

0.587

0.556(0.278–1.115)

0.098

-0.978

0.376(0.194–0.727)

0.004^**

0.296

0.744(0.387–1.430)

0.375