ALERT Scale Calculation: Difference between revisions
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[[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 | *+(0.0712 x [[Charlson Comorbidity Index]]) | ||
*+(0.0532 x | *+(0.0532 x Total [[ADL Score]] | ||
*-(0.1720 x GCS) | *-(0.1720 x [[Glasgow Coma Scale | Glasgow Coma Scale (GCS)]]) | ||
*+(0.0678 x | *+(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. | ||
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." ([[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}} | |||
[[Category: | [[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: |