TMPM-ICD9 statistics

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TMPM-ICD9 specifications


Unique identifier OMICS_23462
Alternative name Trauma Mortality Prediction Model based on ICD9
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes


No version available


  • person_outline Laurent Glance

Publication for Trauma Mortality Prediction Model based on ICD9

TMPM-ICD9 citations


How health service delivery guides the allocation of major trauma patients in the intensive care units of the inclusive (hub and spoke) trauma system of the Emilia Romagna Region (Italy). A cross sectional study

BMJ Open
PMCID: 5640142
PMID: 28965094
DOI: 10.1136/bmjopen-2017-016415

[…] gical units. A study conducted by the same team, based partly on RRTG data and partly on the Trauma Mortality Prediction Model that uses International Classification of Diseases Ninth Revision codes (TMPM-ICD9) to estimate trauma severity, suggested that younger and more severe patients benefited from admission to level I compared with level II TCs, irrespective of the presence or absence of a neu […]


The association between nurse staffing and hospital outcomes in injured patients

PMCID: 3444311
PMID: 22876839
DOI: 10.1186/1472-6963-12-247

[…] administrative data and therefore does not include important information on patient physiology such Glasgow coma scale and vital signs on presentation. However, our trauma mortality prediction model (TMPM-ICD9), developed as part of an AHRQ-funded program to evaluate the impact of non-public report cards for trauma, has been previously validated and found to have excellent statistical performance […]


ISS mapped from ICD 9 CM by a novel freeware versus traditional coding: a comparative study

PMCID: 2852374
PMID: 20356359
DOI: 10.1186/1757-7241-18-17

[…] e most common method for measuring injury severity is still the Injury Severity Score (ISS) [] that is based on the Abbreviated Injury Scale (AIS) []. Other methods have been devised like ICISS [] or TMPM-ICD9 [] that are based instead on the international classification of diseases (ICD). These latter methods have been reported in the United States to outperform ISS in predictive models [,] and t […]


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TMPM-ICD9 institution(s)
Department of Anesthesiology, University of Rochester School of Medicine, Rochester, NY, USA; Department of Surgery, University of Vermont Medical College, Burlington, VT, USA; Department of Medicine, Center for Health Policy Research, University of California, Irvine, CA, USA; Department of Surgery, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Department of Surgery, University of Vermont College of Medicine, Burlington, VT, USA
TMPM-ICD9 funding source(s)
Supported by the Agency for Healthcare and Quality Research by grant (RO1 HS 16737).

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