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Annals of Intensive Care

Table 4 Univariate analyses and multivariate logistic regression model for factors potentially associated with bad outcome

From: Early prediction of hospital outcomes in patients tracheostomized for complex mechanical ventilation weaning

 

Univariate regression

Multivariate model

 

OR (CI 95%)

p value

OR (CI 95%)

VIF

p value

BMI

1.181 (1.07–1.32)

0.0009

1.205 (1.09–1.36)

1.003

0.0008

Age

1.038 (1.01–1.08)

0.0253

1.044 (1.00–1.09)

1.037

0.0463

Sex

2.061 (0.73–6.42)

0.2967

   

Number of comorbidities

1.248 (0.73–2.15)

0.4471

   

Clinical Frailty Score

0.986 (0.76–1.27)

0.8269

   

NRS score at ICU admission

1.129 (0.88–1.48)

0.385

   

SAPS II at ICU admission

1.011 (0.99–1.04)

0.3227

   

SOFA score at ICU admission

1.010 (0.87–1.17)

0.8776

   

Type of ICU admission (medical/surgical)

0.560 (0.22–1.44)

0.3203

   

Neurological cause for intubation

0.849 (0.30–2.30)

0.8038

   

VT/PBW

1.160 (0.81–1.68)

0.5643

   

PEEP

1.026 (0.79–1.34)

0.996

   

Dynamic plateau pressure

0.898 (0.78–1.02)

0.1097

   

Percentage of days with sedation use

0.213 (0.03–1.26)

0.1011

0.208 (0.02–1.57)

1.035

0.14

Percentage of days with opioids use

0.293 (0.02–5.01)

0.7923

   

Percentage of days with NMBA use

0.592 (0.07–4.19)

0.401

   

Control ventilation before tracheostomy

0.383 (0.07–1.97)

0.1597

   

1st separation attempt

1.062 (0.95–1.19)

0.2298

   

Any separation attempt

0.564 (0.20–1.57)

0.3983

   

Sedation use (day before tracheostomy)

1.556 (0.54–4.91)

0.551

   

Opioids use (day before tracheostomy)

3.949 (0.96–26.82)

0.2531

   

Tracheostomy technique (percutaneous vs surgical)

1.427 (0.42–5.70)

0.728

   

Time from intubation to tracheostomy

1.006 (0.95–1.07)

0.921

   
  1. BMI body mass index, NRS nutrition risk screening, ICU intensive care unit, SAPS II Simplified Acute Physiology Score II, SOFA score Sequential Organ Failure Assessment score, VT/PBW tidal volume divided by predicted body weight, PEEP positive end-expiratory pressure, NMBA neuromuscular blocking agents
  2. Left p values calculated using univariate logistic regression for each variable. Right p values calculated with multiple logistic regression model, which included BMI, age and sedation use
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