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. Author manuscript; available in PMC: 2013 Oct 31.
Published in final edited form as: Emerg Med J. 2011 May 17;29(6):10.1136/emj.2010.110957. doi: 10.1136/emj.2010.110957

Table 1. Candidate predictor and outcome variables for asthma prediction rule modeling.

Candidate Predictor Variable df1 Ascertainment & Definition
Age 2 Years (calculated to 0.01 yr)
Gender 1 Male/female
Race2 2 White; Black; Asian; American indian/Alaskan; Native Hawaiian/Pacific islander
Asthma control (3-Month) 1 GINA guidelines (Yes/No)
Prior adverse event 1 Prior PICU admission (Yes/No)
Respiratory rate 1 Breaths/minute (>97.5% ile for age)
Degree of breathlessness 3 Complete sentences; short sentences; partial sentences; words; no speech
Accessory muscle use 1 Present/Absent
Oxygen saturation by pulse oximetry 2 % value
Oximeter plethysmograph variability index 2 % value
Airway resistance 2 % predicted or kPa/L/s
Forced expiratory volume in 1 second 2 % predicted
End-tidal carbon dioxide 2 mm Hg
Exhaled nitric oxide 2 Parts per billion
    Total df 24
  Primary Outcome Variable
Need for hospitalization Length of stay > 24 hours (for admitted subjects) or unscheduled return for asthma care to a physician or hospital within 48 hours (for discharged subjects)
   Secondary Outcome Variables3
Length of stay > 24 hours Yes/No
Length of stay Hours
Value-added elements of in-hospital care
 Total daily dose of albuterol Milligrams
 Total daily duration of continuous albuterol Hour units
 Time to q 4 hr albuterol (hours) Hour units
For participants discharged to home
 48 hour relapse3 Yes/No
 Parental perception of improvement Yes/No
1

Degrees of freedom. For continuous variables, 2 df are designated to account for possible non-linearity using restricted cubic splines

2

Categorized in accordance with NIH guidelines

3

Secondary outcomes for prediction rule modeling if insufficient occurrence of primary outcome variable and for internal validation of derived prediction rule