ALERT Scale Calculation: Difference between revisions

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'''[[MOST Score Use | MOST]] or now referred to as [[ALERT scale]]''' Calculation
[[ALERT Scale]] Calculation (go to [[ALERT Scale App]])
 
 


Binary logistic regression resulted in the following outcome model:
Binary logistic regression resulted in the following outcome model:
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*'''LN(R/1-R) = Y'''
*'''LN(R/1-R) = Y'''


'''Y''' =  
'''Y''' =
*-3.8390 + (0.1570 x male gender)
*-3.8390 + (0.1570 x male gender)
*+(0.0712 x CCI)
*+(0.0712 x [[Charlson Comorbidity Index]])
*+(0.0532 x ADLS)
*+(0.0532 x Total [[ADL Score]]
*-(0.1720 x GCS)
*-(0.1720 x [[Glasgow Coma Scale | Glasgow Coma Scale (GCS)]])
*+(0.0678 x age)
*+(0.0678 x [[Age]] in years)
*-(0.0004 x (age x age)
*-(0.0004 x (age x age)
*+(0.0175 x heart rate)
*+(0.0175 x heart rate in beats per min )
*+(0.0631 x respiratory rate)
*+(0.0631 x respiratory rate in breaths per min )
*+(0.0289 x white blood cell count)
*+(0.0289 x white blood cell count in cells per microlitre x 0.001 )
*-(0.0410 x systolic blood pressure)
*-(0.0410 x systolic blood pressure in mm Hg )
*+(0.000121 x (systolic blood pressure 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.
Where '''R''' is the risk of bad outcome and the categorical variable gender, is coded female=0 and male=1.


*'''[[Charlson Comorbidity Index | CCI]]''' - Charlson Comorbidity Index
How to calculate R:
*'''[[ADL General Collection Information | ADLS]]''' - Activity of Daily Living Score:  
*'''R=exp(Y)/1 + exp(Y)'''
**0 - independent
**3 - minor dependence
**6 - major dependence
*'''[[Glasgow Coma Scale | GCS]]''' - Glasgow Coma Scale
*Heart Rate ('''HR'''), Respiratory Rate ('''RR'''), White Blood cell Count ('''WBC'''), systolic Blood Pressure ('''sBP''') - are continuous data


*Heart rate ([[HR]]), respiratory rate ([[RR]]), White Blood cell Count ([[WBC]]), systolic Blood Pressure (sBP, [[AP Sys BP Field]]) - are continuous data


How to calculate R:
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]])
*'''R=exp(Y)/1 + exp(Y)'''


The cut-off probability for '''R''' is 0.088
== Implementation ==
This is implemented by the Function MOST_Score in Centralized data front end.accdb.


== Related articles ==
{{Related Articles}}




[[Category:ALERT Scale]]
[[Category:ALERT Scale]]

Latest revision as of 15:56, 31 October 2024

ALERT Scale Calculation (go to ALERT Scale App)


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 in years)
  • -(0.0004 x (age x age)
  • +(0.0175 x heart rate in beats per min )
  • +(0.0631 x respiratory rate in breaths per min )
  • +(0.0289 x white blood cell count in cells per microlitre x 0.001 )
  • -(0.0410 x systolic blood pressure in mm Hg )
  • +(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 (HR), respiratory rate (RR), White Blood cell Count (WBC), systolic Blood Pressure (sBP, AP Sys BP Field) - 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: