ID
28722
Description
The Mortality Probability Model (MPM II) System Admission Model (MPM0) estimates the probabaility of hospital mortality at admission in the intensive care unit. Reference: Lemeshow, S., Teres, D., Klar, J., Avrunin, J. S., Gehlbach, S. H., & Rapoport, J. (1993). Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. Jama, 270(20), 2478-2486.
Keywords
Versions (1)
- 1/28/18 1/28/18 -
Copyright Holder
Lemeshow, S.; Teres, D.; Klar, J.; Avrunin, J. S.; Gehlbach, S. H.; Rapoport, J.
Uploaded on
January 28, 2018
DOI
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License
Creative Commons BY-NC 3.0
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MPM II - Admission
MPM II - Admission
- StudyEvent: ODM
Description
Chronic diagnoses
Description
Acute diagnoses
Description
beta=1.48210
Data type
integer
Description
beta=0.28095
Data type
integer
Description
beta=0.21338
Data type
integer
Description
beta=0.39653
Data type
integer
Description
beta=0.86533
Data type
integer
Description
Other
Description
beta=0.03057
Data type
integer
Measurement units
- years
Description
beta=0.56995
Data type
integer
Description
beta=0.79105
Data type
integer
Description
beta=1.19098
Data type
integer
Description
Probabilitiy of hospital mortality
Description
beta0 24 hrs (Constant) = -5.46836 1. Compute the logit g(x), defined as gi(x)=ßo+ß1x1+ß2x2+...+ßkxk, where ß0 is the constant and ßixi is the estimated coefficient for the ith variable times the value of the ith variable, with i taking on the values from 1 to k, and k being the number of variables in the model. 2. Transform the logit into a probability through the following calculation: Pr(hospital mortality)=[e^g(x) / 1 + e^g(x)].
Data type
float
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MPM II - Admission
- StudyEvent: ODM