Literature DB >> 36199004

IPMICALC: an Integrated Post-mortem Interval Calculator.

Manuel Febrero Bande1, Lucía Ordóñez Mayán2,3, Cristina Cordeiro4,5,6, Duarte Nuno Vieira5, José Ignacio Muñoz Barús7,8.   

Abstract

Correctly estimating the post-mortem interval (PMI) is essential in forensic practice. In recent decades, the measurement of vitreous humor analyte concentrations - especially of hypoxanthine and potassium - and their correlation with the PMI have returned good results. However, calculating the PMI from the data collected can be quite complex. The present paper describes a web resource ( http://modestya.usc.es:3838/Forensic/ ) that simplifies the procedure. The PMI is determined (with its 95% confidence interval) in a rapid, easy, and reliable manner based on the use of mathematical models, the biochemistry of the vitreous humor, and physical variables such as the ambient temperature, the rectal temperature, and bodyweight. The application is entirely free to use.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Hypoxanthine; Post-mortem interval; Potassium; Rectal temperature; Regression models; Time since death; Vitreous humor

Year:  2022        PMID: 36199004     DOI: 10.1007/s12024-022-00537-7

Source DB:  PubMed          Journal:  Forensic Sci Med Pathol        ISSN: 1547-769X            Impact factor:   2.456


  9 in total

1.  A new model for the estimation of time of death from vitreous potassium levels corrected for age and temperature.

Authors:  B Zilg; S Bernard; K Alkass; S Berg; H Druid
Journal:  Forensic Sci Int       Date:  2015-07-17       Impact factor: 2.395

Review 2.  Is there recent progress in the estimation of the postmortem interval by means of thanatochemistry?

Authors:  Burkhard Madea
Journal:  Forensic Sci Int       Date:  2005-04-21       Impact factor: 2.395

Review 3.  Time of death dependent criteria in vitreous humor: accuracy of estimating the time since death.

Authors:  Burkhard Madea; Alexander Rödig
Journal:  Forensic Sci Int       Date:  2006-01-24       Impact factor: 2.395

4.  A high-performance liquid chromatography method for hypoxanthine determination in vitreous humour: application to estimation of post mortem interval.

Authors:  J I Muñoz; E Costas; M S Rodríguez-Calvo; J M Suárez-Peñaranda; M López-Rivadulla; L Concheiro
Journal:  Hum Exp Toxicol       Date:  2006-05       Impact factor: 2.903

5.  Flexible regression models for estimating postmortem interval (PMI) in forensic medicine.

Authors:  José Ignacio Muñoz Barús; Manuel Febrero-Bande; Carmen Cadarso-Suárez
Journal:  Stat Med       Date:  2008-10-30       Impact factor: 2.373

6.  PMICALC: an R code-based software for estimating post-mortem interval (PMI) compatible with Windows, Mac and Linux operating systems.

Authors:  José I Muñoz-Barús; María Sol Rodríguez-Calvo; José M Suárez-Peñaranda; Duarte N Vieira; Carmen Cadarso-Suárez; Manuel Febrero-Bande
Journal:  Forensic Sci Int       Date:  2009-11-18       Impact factor: 2.395

7.  Post-mortem changes in metabolomic profiles of human serum, aqueous humor and vitreous humor.

Authors:  Ekaterina A Zelentsova; Lyudmila V Yanshole; Arsenty D Melnikov; Ivan S Kudryavtsev; Vladimir P Novoselov; Yuri P Tsentalovich
Journal:  Metabolomics       Date:  2020-07-01       Impact factor: 4.290

8.  A reliable method for estimating the postmortem interval from the biochemistry of the vitreous humor, temperature and body weight.

Authors:  Cristina Cordeiro; Lucía Ordóñez-Mayán; Elena Lendoiro; Manuel Febrero-Bande; Duarte Nuno Vieira; José Ignacio Muñoz-Barús
Journal:  Forensic Sci Int       Date:  2018-12-17       Impact factor: 2.395

9.  Improvement in estimation of time since death by albumin and potassium concentrations in vitreous humor.

Authors:  Martina Focardi; Luisa Lanzilao; Alessandro Bonari; Marco Lazzeretti; Maria Lorubbio; Agostino Ognibene; Barbara Gualco; Alessandra Fanelli; Vilma Pinchi
Journal:  Forensic Sci Int       Date:  2020-06-27       Impact factor: 2.395

  9 in total

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