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Table 2 Multivariate logistic regression of 13 principal components produced by SPCA for disease severity prediction of COVID-19 patients

From: Lymphocyte–monocyte–neutrophil index: a predictor of severity of coronavirus disease 2019 patients produced by sparse principal component analysis

 

Odd ratio

95% confidence interval

P value

PC1

4.049

1.126–21.015

0.057

PC2

0.563

0.239–1.940

0.182

PC3

1.446

0.791–2.938

0.256

PC4

0.749

0.300–1.501

0.478

PC5

3.486

1.057–14.825

0.059

PC6

1.730

0.572–5.837

0.344

PC7

0.675

0.285–1.347

0.296

PC8

1.635

0.652–12.627

0.486

PC9

0.793

0.298–2.051

0.624

PC10

3.329

1.122–13.325

0.053

PC11

0.712

0.317–1.548

0.390

PC12

3.318

1.260–11.949

0.041

PC13

0.898

0.405–1.970

0.783

  1. The first to 13th principal components produced by SPCA were subjected to multivariate logistic regression for predict disease severity of COVID-19 patients. The first and 12th PCs finally showed significantly association with disease severity of COVID-19 patients
  2. COVID-19 coronavirus disease 2019, PC principal component, SPCA sparse principal component analysis