Literature DB >> 15480732

Temperature-based death time estimation with only partially known environmental conditions.

Gita Mall1, Mona Eckl, Inga Sinicina, Oliver Peschel, Michael Hubig.   

Abstract

The temperature-oriented death time determination is based on mathematical model curves of postmortem rectal cooling. All mathematical models require knowledge of the environmental conditions. In medico-legal practice homicide is sometimes not immediately suspected at the death scene but afterwards during external examination of the body. The environmental temperature at the death scene remains unknown or can only be roughly reconstructed. In such cases the question arises whether it is possible to estimate the time since death from rectal temperature data alone recorded over a longer time span. The present study theoretically deduces formulae which are independent of the initial and environmental temperatures and thus proves that the information needed for death time estimation is contained in the rectal temperature data. Since the environmental temperature at the death scene may differ from that during the temperature recording, an additional factor has to be used. This is that the body core is thermally well isolated from the environment and that the rectal temperature decrease after a sudden change of environmental temperature will continue for some time at a rate similar to that before the sudden change. The present study further provides a curve-fitting procedure for such scenarios. The procedure was tested in rectal cooling data of from 35 corpses using the most commonly applied model of Henssge. In all cases the time of death was exactly known. After admission to the medico-legal institute the bodies were kept at a constant environmental temperature for 12-36 h and the rectal temperatures were recorded continuously. The curve-fitting procedure led to valid estimates of the time since death in all experiments despite the unknown environmental conditions before admission to the institute. The estimation bias was investigated statistically. The 95% confidence intervals amounted to +/-4 h, which seems reasonable compared to the 95% confidence intervals of the Henssge model with known environmental temperature. The presented method may be of use for determining the time since death even in cases in which the environmental temperature and rectal temperature at the death scene have unintentionally not been recorded.

Mesh:

Year:  2004        PMID: 15480732     DOI: 10.1007/s00414-004-0461-4

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  16 in total

1.  Rectal temperature time of death nomogram: sudden change of ambient temperature.

Authors:  L Althaus; C Henssge
Journal:  Forensic Sci Int       Date:  1999-01-25       Impact factor: 2.395

2.  Experiences with a compound method for estimating the time since death. II. Integration of non-temperature-based methods.

Authors:  C Henssge; L Althaus; J Bolt; A Freislederer; H T Haffner; C A Henssge; B Hoppe; V Schneider
Journal:  Int J Legal Med       Date:  2000       Impact factor: 2.686

3.  Experiences with a compound method for estimating the time since death. I. Rectal temperature nomogram for time since death.

Authors:  C Henssge; L Althaus; J Bolt; A Freislederer; H T Haffner; C A Henssge; B Hoppe; V Schneider
Journal:  Int J Legal Med       Date:  2000       Impact factor: 2.686

4.  A study of the shape of the post-mortem cooling curve in 117 forensic cases.

Authors:  Louay M Al-Alousi
Journal:  Forensic Sci Int       Date:  2002-02-18       Impact factor: 2.395

5.  Factors influencing the precision of estimating the postmortem interval using the triple-exponential formulae (TEF). Part II. A study of the effect of body temperature at the moment of death on the postmortem brain, liver and rectal cooling in 117 forensic cases.

Authors:  Louay M al-Alousi; Robert A Anderson; Diana M Worster; David V Land
Journal:  Forensic Sci Int       Date:  2002-02-18       Impact factor: 2.395

6.  Modelling postmortem surface cooling in continuously changing environmental temperature.

Authors:  Gita Mall; Michael Hubig; Mona Eckl; Andreas Büttner; Wolfgang Eisenmenger
Journal:  Leg Med (Tokyo)       Date:  2002-09       Impact factor: 1.376

7.  Physical and chemical methods for the estimation of the time of death.

Authors:  F LUNDQUIST
Journal:  Acta Med Leg Soc (Liege)       Date:  1956

8.  Body temperature as a means of estimating the time of death.

Authors:  A Brown; T K Marshall
Journal:  Forensic Sci       Date:  1974-10

9.  Postmortem interval estimation from body temperature data only.

Authors:  M A Green; J C Wright
Journal:  Forensic Sci Int       Date:  1985-05       Impact factor: 2.395

10.  [Estimation of death-time by computing the rectal body cooling under various cooling conditions (author's transl)].

Authors:  C Henssge
Journal:  Z Rechtsmed       Date:  1981
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  10 in total

1.  Influence of measurement errors on temperature-based death time determination.

Authors:  Michael Hubig; Holger Muggenthaler; Gita Mall
Journal:  Int J Legal Med       Date:  2010-04-17       Impact factor: 2.686

2.  Do multiple temperature measurements improve temperature-based death time estimation? The information degradation inequality.

Authors:  M Hubig; H Muggenthaler; S Schenkl; G Mall
Journal:  Int J Legal Med       Date:  2016-02-12       Impact factor: 2.686

3.  A Monte Carlo-based model for steady-state diffuse reflectance spectrometry in human skin: estimation of carbon monoxide concentration in livor mortis.

Authors:  M Bohnert; R Walther; T Roths; J Honerkamp
Journal:  Int J Legal Med       Date:  2005-04-21       Impact factor: 2.686

4.  Successful RNA extraction from various human postmortem tissues.

Authors:  Marielle Heinrich; Katja Matt; Sabine Lutz-Bonengel; Ulrike Schmidt
Journal:  Int J Legal Med       Date:  2006-11-18       Impact factor: 2.686

5.  Cooling experiments using dummies covered by leaves.

Authors:  L Althaus; S Stückradt; C Henssge; T Bajanowski
Journal:  Int J Legal Med       Date:  2006-06-21       Impact factor: 2.686

6.  Body mass and corrective factor: impact on temperature-based death time estimation.

Authors:  Michael Hubig; Holger Muggenthaler; Inga Sinicina; Gita Mall
Journal:  Int J Legal Med       Date:  2011-02-01       Impact factor: 2.686

7.  Spectrometric evaluation of post-mortem optical skin changes.

Authors:  Vera Sterzik; Lioudmila Belenkaia; Andreas W Liehr; Michael Bohnert
Journal:  Int J Legal Med       Date:  2013-04-19       Impact factor: 2.686

8.  HMGB1: A new marker for estimation of the postmortem interval.

Authors:  Kiyoshi Kikuchi; Ko-Ichi Kawahara; Kamal Krishna Biswas; Takashi Ito; Salunya Tancharoen; Naoto Shiomi; Yoshiro Koda; Fumiyo Matsuda; Yoko Morimoto; Yoko Oyama; Kazunori Takenouchi; Naoki Miura; Noboru Arimura; Yuko Nawa; Shinichiro Arimura; Meng Xiao Jie; Binita Shrestha; Masahiro Iwata; Kentaro Mera; Hisayo Sameshima; Yoshiko Ohno; Ryuichi Maenosono; Yutaka Tajima; Hisaaki Uchikado; Terukazu Kuramoto; Kenji Nakayama; Minoru Shigemori; Yoshihiro Yoshida; Teruto Hashiguchi; Ikuro Maruyama
Journal:  Exp Ther Med       Date:  2010-01-01       Impact factor: 2.447

9.  Re-oxygenation of haemoglobin in livores after post-mortem exposure to a cold environment.

Authors:  Michael Bohnert; Katharina Schulz; Lioudmila Belenkaia; Andreas W Liehr
Journal:  Int J Legal Med       Date:  2007-03-08       Impact factor: 2.686

10.  Effects of rounding errors on postmortem temperature measurements caused by thermometer resolution.

Authors:  Yoshimasa Kanawaku; Jun Kanetake; Atsuki Komiya; Shigenao Maruyama; Masato Funayama
Journal:  Int J Legal Med       Date:  2006-04-25       Impact factor: 2.791

  10 in total

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