ALERT Scale Calculation: Difference between revisions
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Most Score Calculation | Most Score Calculation | ||
Y = | Binary logistic regression resulted in the following outcome model: | ||
'''Y''' = | |||
*-3.8390 + (0.1570 x male gender) | *-3.8390 + (0.1570 x male gender) | ||
*+(0.0712 x CCI) | *+(0.0712 x CCI) | ||
| Line 14: | Line 16: | ||
*+(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. | ||
*ADL Score: | *'''ADL''' Score: | ||
**0 - independent | **0 - independent | ||
**3 - minor dependence | **3 - minor dependence | ||
**6 - major dependence | **6 - major dependence | ||
*CCI - Charlson Comorbidity Index | *CCI - Charlson Comorbidity Index | ||
*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''') - are continuous data | ||
Revision as of 13:58, 16 January 2014
Most Score Calculation
Binary logistic regression resulted in the following outcome model:
Y =
- -3.8390 + (0.1570 x male gender)
- +(0.0712 x CCI)
- +(0.0532 x ADLS)
- -(0.1720 x 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.
- ADL Score:
- 0 - independent
- 3 - minor dependence
- 6 - major dependence
- CCI - Charlson Comorbidity Index
- Heart Rate(HR), Respiratory Rate (RR), White Blood cell Count (WBC), systolic Blood Pressure (sBP) - are continuous data
How to calculate R:
- R=exp(Y)/1 + exp(Y)
The cut-off probability for R is 0.088