Description

Papuzinski et al developed a multivariate model for predicting if a patient admitted to the intensive care unit (ICU) would need a tracheostomy. This can help to identify a patient who may benefit from more aggressive management. The authors are from the Universidad de Valparaiso and Hospital Naval Almirante Nef in Chile.


 

Patient selection: adult admitted to ICU who has been intubated

 

Outcome: prolonged intubation (orotracheal intubation >= 7 days), indicating a patient who may benefit from early tracheostomy

 

Parameters:

(1) age in years (divided into tertiles)

(2) PaO2 to FiO2 ratio on intubation day

(3) serum sodium concentration on intubation day

(4) COPD

Parameter

Finding

Points

age

< 65 years old

1

 

65 to 76 years

2

 

>= 77 years

3

PaO2 ratio

>= 200

0

 

< 200

1

serum sodium

hypernatremia

1

 

other

0

COPD

absent

0

 

present

1

 

where:

• The adjusted odds ratios were 1.97 for age (per tertile), 3.9 for hypernatremia, 3 for COPD and 2.6 for PaO2 to FIO2 ratio.

 

X =

= (0.68 * (points for age)) + (0.97 * (points for PaO2 to FIO2 raio)) + (1.35 * (points for serum sodium)) + (1.1 * (points for COPD)) – 2.8

 

probability of requiring a tracheostomy =

= 1 / (1 + EXP((-1) * X))

 

Performance:

• The area under the ROC curve was 0.81.

 


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