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Table 2 Parameters used to develop a predictive model for respiratory failure readmission

From: Development and validation of a prospective study to predict the risk of readmission within 365 days of respiratory failure: based on a random survival forest algorithm combined with COX regression modeling

Variables

HR

95%CI

P

Chi-square

Estimate

StdErr

glutamyltransferase

0.997

0.991–1.002

0.244

-1.165

-0.003

0.003

triglyceride

0.778

0.540–1.120

0.177

-1.351

-0.252

0.186

total cholesterol

0.900

0.749–1.080

0.257

-1.133

-0.106

0.093

myoglobin

0.996

0.993-1.000

0.048

-1.978

-0.004

0.002

lactic acid

0.960

0.774–1.190

0.707

-0.375

-0.041

0.110

carboxyhemoglobin

1.092

0.902–1.321

0.366

0.904

0.088

0.097

respiratory failure type

      

1

      

2

1.348

0.847–2.144

0.208

1.260

0.298

0.237

diabetes

      

0

      

1

1.974

1.282–3.039

0.002

3.087

0.680

0.220

cardiovascular disease

      

0

      

1

0.698

0.444–1.099

0.121

-1.551

-0.359

0.231

asthma

      

0

      

1

0.318

0.044–2.290

0.255

-1.138

-1.146

1.007

pneumonia

      

0

      

1

0.421

0.235–0.753

0.004

-2.916

-0.865

0.297