ID
28259
Description
The MPM II estimates the probabaility of hospital mortality at 24, 48, and 72 hours in the intensive care unit. Reference: Lemeshow, S., Klar, J., Teres, D., Avrunin, J. S., Gehlbach, S. H., Rapoport, J., & Rué, M. (1994). Mortality probability models for patients in the intensive care unit for 48 or 72 hours: a prospective, multicenter study. Critical care medicine, 22(9), 1351-1358.
Keywords
Versions (3)
- 12/31/17 12/31/17 -
- 1/25/18 1/25/18 -
- 1/25/18 1/25/18 -
Copyright Holder
Stanley Lemeshow; Janelle Klar; Daniel Teres; Jill Spitz Avrunin; Stephen H. Gehlbach; John Rapoport; Montse Rué
Uploaded on
December 31, 2017
DOI
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License
Creative Commons BY-NC 3.0
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MPM II (at 24, 48, and 72 hrs)
MPM II (at 24, 48, and 72 hrs)
- StudyEvent: ODM
Description
24-Hr Interval Assessments
Description
beta0 24 hrs = -5.64592. beta0 48 hrs = -5.39153. beta0 72 hrs = -5.23840.
Data type
text
Description
beta = 1.68790
Data type
integer
Description
beta = 0.72283
Data type
integer
Description
beta = 0.49742
Data type
integer
Description
beta = 0.80845
Data type
integer
Description
beta = 0.46677
Data type
integer
Description
beta = 0.55352
Data type
integer
Description
beta = 0.82286
Data type
integer
Description
beta = 0.71628
Data type
integer
Description
Probabilities of hospital mortality
Description
beta0 24 hrs = -5.64592. The logit is calculated as the sum of the constant term (beta0) plus the products of the values of each of the 13 model variables by its associated beta0 (i.e. Logit=beta0 + beta1*x1 + ... + beta13*x13). Predicted Death Rate= (eLogit) / (1 + eLogit).
Data type
float
Description
beta0 48 hrs = -5.39153. The logit is calculated as the sum of the constant term (beta0) plus the products of the values of each of the 13 model variables by its associated beta0 (i.e. Logit=beta0 + beta1*x1 + ... + beta13*x13). Predicted Death Rate= (eLogit) / (1 + eLogit).
Data type
float
Description
beta0 72 hrs = -5.23840. The logit is calculated as the sum of the constant term (beta0) plus the products of the values of each of the 13 model variables by its associated beta0 (i.e. Logit=beta0 + beta1*x1 + ... + beta13*x13). Predicted Death Rate= (eLogit) / (1 + eLogit).
Data type
float
Similar models
MPM II (at 24, 48, and 72 hrs)
- StudyEvent: ODM