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The feasibility of physiologically based pharmacokinetic modeling in forensic medicine illustrated by the example of morphine

Overview of attention for article published in International Journal of Legal Medicine, December 2017
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Title
The feasibility of physiologically based pharmacokinetic modeling in forensic medicine illustrated by the example of morphine
Published in
International Journal of Legal Medicine, December 2017
DOI 10.1007/s00414-017-1754-8
Pubmed ID
Authors

Nadine Schaefer, Daniel Moj, Thorsten Lehr, Peter H. Schmidt, Frank Ramsthaler

Abstract

In forensic medicine, expert opinion is often required concerning dose and time of intake of a substance, especially in the context of fatal intoxications. In the present case, a 98-year-old man died 4 days after admission to a hospital due to a femur neck fracture following a domestic fall in his retirement home. As he had obtained high morphine doses in the context of palliative therapy and a confusion of his supplemental magnesium tablets with a diuretic by the care retirement home was suspected by the relatives, a comprehensive postmortem examination was performed. Forensic toxicological GC- and LC-MS analyses revealed, besides propofol, ketamine, and a metamizole metabolite in blood and urine, toxic blood morphine concentrations of approximately 3 mg/l in femoral and 5 mg/l in heart blood as well as 2, 7, and 10 mg/kg morphine in brain, liver, and lung, respectively. A physiologically based pharmacokinetic (PBPK) model was developed and applied to examine whether the morphine concentrations were (i) in agreement with the morphine doses documented in the clinical records or (ii) due to an excessive morphine administration. PBPK model simulations argue against an overdosing of morphine. The immediate cause of death was respiratory and cardiovascular failure due to pneumonia following a fall, femur neck fracture, and immobilization accompanied by a high and probably toxic concentration of morphine, attributable to the administration under palliative care conditions. The presented case indicates that PBPK modeling can be a useful tool in forensic medicine, especially in question of a possible drug overdosing.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 24%
Student > Ph. D. Student 7 18%
Professor 3 8%
Researcher 3 8%
Professor > Associate Professor 2 5%
Other 3 8%
Unknown 11 29%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Pharmacology, Toxicology and Pharmaceutical Science 6 16%
Nursing and Health Professions 4 11%
Agricultural and Biological Sciences 1 3%
Sports and Recreations 1 3%
Other 3 8%
Unknown 14 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2018.
All research outputs
#14,086,058
of 23,009,818 outputs
Outputs from International Journal of Legal Medicine
#748
of 2,084 outputs
Outputs of similar age
#228,657
of 437,935 outputs
Outputs of similar age from International Journal of Legal Medicine
#20
of 59 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,084 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.