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Open Access

Preliminary update of the Mortality Probability Model (MPM0)

  • T Higgins1,
  • D Teres2,
  • W Copes3,
  • B Nathanson4,
  • M Stark3 and
  • A Kramer3
Critical Care20059(Suppl 1):P229

https://doi.org/10.1186/cc3292

Published: 7 March 2005

Keywords

Lead TimeHospital MortalityGraphic DisplayPatient TypeMain Model

Introduction

The Mortality Probability Model (MPM II), developed on an international sample of 12,610 patients in 1989–1990, is used by Project IMPACT as a benchmarking tool. We updated the model based on more recent (2001–2004) data.

Hypothesis and methods

Project IMPACT data on 125,610 patients age >18 and eligible for MPM scoring were analyzed. Multivariate analysis defined the relationship between hospital mortality and standard MPM physiologic variables plus patient type, location and lead time prior to ICU admission. The sample was randomly split into development and validation sets. Discrimination was assessed by ROC C statistic and calibration by graphic display and Hosmer–Lemeshow goodness of fit.

Results

Overall mortality was 13.8%. The logistic model for all patients is presented in Table 1, and goodness of fit in Fig. 1. The area under the ROC curve was 0.82. Lead time and location did not influence outcome. Addition of a 'zero-factor' term for patients with no risk factors other than age improved model performance. Subgroup models (medical, coronary, trauma, neurosurgical, elective and emergent non-neuro, non-cardiac and non-trauma surgery) exhibit improved discrimination and calibration compared with the main model, which is superior in calibration to the existing MPM model.
Table 1

Table 1

Variable

Odds ratio

Coefficients

P value

Coma-stupor

5.37

1.680172

0.000

HR ≥ 150

1.77

0.570394

0.000

SBP < 90

2.49

0.9111615

0.000

Chronic renal

1.68

0.5179099

0.000

Cirrhosis

2.18

0.7804761

0.000

Metastasis

2.69

0.9889827

0.000

Acute renal

2.17

0.7752536

0.000

Arrythmia

1.08

0.0782759

0.000

Cerebrovascular

1.31

0.2679498

0.000

GI bleed

0.84

-0.1712258

0.003

IC mass

2.16

0.768795

0.000

Age

1.03

0.0302588

0.000

CPR w/in 24 hours

2.20

0.7888974

0.000

Mechanical ventilation

2.25

0.8123237

0.000

Med/unsched S

2.40

0.8760618

0.000

Zero factors

0.79

-0.2368908

0.007

Full code

0.46

-0.7693753

0.000

Constant

NA

-4.778739

0.000

Figure 1
Figure 1

Figure 1

Conclusions

Severity-adjusted mortality has decreased over time. Use of the updated model will allow more accurate assessment of quality of care. Subgroup models further improve discrimination and calibration and offer additional information in ICUs where the case mix is unusual.

Authors’ Affiliations

(1)
Baystate Medical Center, Springfield, USA
(2)
Tufts University, Boston, USA
(3)
Cerner Corporation,, Kansas City, USA
(4)
OptiStatim, Longmeadow, USA

Copyright

© BioMed Central Ltd 2005

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