ALERT Scale Calculation: Difference between revisions

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The cut-off probability for '''R''' is 0.088 . "A cut-off point of 0.088, or a predicted probability of adverse outcome of 8.8%, was used to classify patients into  two  groups;  high-risk  and  low-risk  of  adverse outcome." ([[Media:Bmjopen-2014-005501.ALERT SCALE.pdf|from publication]])
The cut-off probability for '''R''' is 0.088 . "A cut-off point of 0.088, or a predicted probability of adverse outcome of 8.8%, was used to classify patients into  two  groups;  high-risk  and  low-risk  of  adverse outcome." ([[Media:Bmjopen-2014-005501.ALERT SCALE.pdf|from publication]])
== Implementation ==
This is implemented by the Function MOST_Score in Centralized data front end.accdb.


== Related articles ==  
== Related articles ==  

Revision as of 13:29, 2021 July 15

ALERT Scale Calculation

Binary logistic regression resulted in the following outcome model:

  • LN(R/1-R) = Y

Y =

  • -3.8390 + (0.1570 x male gender)
  • +(0.0712 x Charlson Comorbidity Index)
  • +(0.0532 x Total ADL Score
  • -(0.1720 x Glasgow Coma Scale (GCS))
  • +(0.0678 x age)
  • -(0.0004 x (age x age)
  • +(0.0175 x heart rate)
  • +(0.0631 x respiratory rate)
  • +(0.0289 x white blood cell count)
  • -(0.0410 x systolic blood pressure)
  • +(0.000121 x (systolic blood pressure x systolic blood pressure)

Where R is the risk of bad outcome and the categorical variable gender, is coded female=0 and male=1.

How to calculate R:

  • R=exp(Y)/1 + exp(Y)
  • Heart rate, respiratory rate, White Blood cell Count (WBC), systolic Blood Pressure (sBP) - are continuous data

The cut-off probability for R is 0.088 . "A cut-off point of 0.088, or a predicted probability of adverse outcome of 8.8%, was used to classify patients into two groups; high-risk and low-risk of adverse outcome." (from publication)

Implementation

This is implemented by the Function MOST_Score in Centralized data front end.accdb.

Related articles

Related articles: