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Models for Predicting Outcomes for Extremely Premature Infant

Purpose: To predict outcomes for an extremely premature infant using the models of Tyson et al.

Description

Tyson et al evaluated the outcomes for extremely premature infants. The authors are participants of the National Institute of Child Health and Human Development Neonatal Research Network


Gestational ages: 22 to 25 weeks (adjusted ages ranged from 18 to 22 months)

 

Parameters:

(1) birthweight in grams

(2) gender

(3) gestational age

(4) number of fetuses

(5) antenatal steroid therapy

 

Parameter Finding Points
gender male 0
  female -0.4454
gestational age 22 weeks 1.5741
  23 weeks 0.9598
  24 weeks 0.4721
  25 weeks 0
number of fetuses 1 -0.2582
  2 or more 0
antenatal steroid therapy none 0
  given -0.6062

 

X=

= (-0.005113 * (birthweight in grams)) + SUM(points for the other 4 parameters) + 3.39

 

probability of death =

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

 

Parameter Finding Points
gender male 0
  female -0.5898
gestational age 22 weeks 1.6552
  23 weeks 0.9644
  24 weeks 0.4195
  25 weeks 0
number of fetuses 1 -0.2751
  2 or more 0
antenatal steroid therapy none 0
  given -0.6233

 

Y =

= (-0.004941 * (birthweight in grams)) + SUM(points for the other 4 parameters) + 4.0874

 

probability of death or profound impairment =

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

 

Parameter Finding Points
gender male 0
  female -0.7407
gestational age 22 weeks 1.5181
  23 weeks 0.9408
  24 weeks 0.3554
  25 weeks 0
number of fetuses 1 -0.3528
  2 or more 0
antenatal steroid therapy none 0
  given -0.6402

 

Z =

= (-0.005018 * (birthweight in grams)) + SUM(points for the other 4 parameters) + 5.0599

 

probability of death or neurodevelopmental impairment =

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


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Specialty

Objective

ICD-10