Sulfide concentrations in postmortem mammalian tissues

Postmortem changes in sulfide concentrations in body tissues were examined in autopsied rats exposed to hydrogen sulfide concentrations of 550 to 650 ppm, and in nonexposed rats and humans. Analyses were made by gas chromatography, following an extractive alkylation. Sulfide concentrations in the blood, liver, and kidneys of rats increased in both the exposed and nonexposed groups, depending on the lapse of time after death. On the other hand, the lung, brain, and muscle showed little or no change in sulfide concentration with elapse of time after death. The data obtained from human tissues were almost the same as those for rats, except data for blood, in which no or little increase of sulfide was observed.     

The use of either the nose or outer ear as a means of determining the postmortem period of a human corpse.

Presented in this paper are the initial results involving the use of the nose or outer ear as temperature measurement sites to determine the postmortem period of the human corpse. Simple mathematical models for both sites are developed based on cooling curves of five corpses. Analysis of errors between actual and calculated postmortem intervals suggest that in its present form, the described methods would not be suitable for use in accurately determining the time since death of human corpses.     

Dissecting intramural haematoma of the coronary artery with intimal tears.

A dissecting intramural haematoma of the coronary artery is an infrequent cause of sudden and unexpected death. Most cases are women and in a significant number of these women, the haematoma occurred at term to 80 days postpartum. Because the intimal rupture and communication with the lumen were not found in most of the cases, the site of rupture has been considered to be a vasa vasorum. The authors report on a case of one woman who was at a later postpartum period (106 days). The microscopic finding of the dissected coronary artery revealed two intimal tears in a section. The case showed that the dissecting intramural haematoma of the coronary artery is caused not only by the rupture of the vasa vasorum but also by the rupture of the intima.     

Identification based on medical findings

1. The indications such as the place of finding, the identification of clothes or other personal items, represent only the first step towards the identification of a corpse. 2. An identification based on medical data, other than dental, is often possible, more often than it is believed. 3. The forensic pathologist plays a double role in the case of such an identification: a) in the phase of the inquiry, he must contact the investigators and the families to explain his wishes and the different possibilities of identification. b) he must use the gathered information in the appropriate way. 4. It would be desirable to compose some statistical tables of the various medical elements useful for the identification (mutilations, surgical operations, etc...). We present six cases of identification in our practice.     

Inmates: Who occupies our jails?

The purpose of this investigation was to identify inmate personal and demographic data that may be used to further define or profile persons with a greater likelihood of being at risk for serving a jail sentence. This study was explorative. The survey administration was similar in format to that conducted by the U.S. Department of Justice. Chaplains were used as survey proctors. Pilot studies were conducted to determine the suitability of survey content. Surveys consisted of 172 items. Subjects included four hundred inmates: males comprised 88.75 percent of the sample, Caucasians 58.25 percent, Blacks 37 percent, Hispanics 3.25 percent and other 1.5 percent of the sample. Respondents ranged in age from 15 to 64 years with an average age of 30.3 years. Less than two percent of the contacted inmates refused participation in the survey. Results are presented for demographic data, select legal/criminal data, select drug and alcohol use data, employment data, health, parent/family data, education data, social data, and “other”.