About: Use of an Automated Nested Multiplex Respiratory Pathogen PCR Panel Postmortem in the Pediatric Forensic Setting

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Use of an Automated Nested Multiplex Respiratory Pathogen PCR Panel Postmortem in the Pediatric Forensic Setting
Creator	Nolte, S Baker, Tiffany Batalis, Nicholas Schandl, Cynthia Frederick, D Madory, M Presnell, Erin Susan, M
source	Medline; PMC
abstract	Respiratory pathogens have been detected in forensic investigations using multiple techniques; however, no study has examined the use of automated, nested, multiplex polymerase chain reaction (ANM‐PCR), commonly used in living patients, in the forensic setting. This retrospective study assessed the utility of ANM‐PCR in detecting respiratory pathogens in the pediatric forensic setting. Respiratory samples from 35 cases were tested for up to 20 respiratory pathogens. 51.4% of these cases yielded a positive ANM‐PCR result, 20% of which were considered the cause of or contributory to death. The most commonly detected pathogens were rhinovirus/enterovirus and respiratory syncytial virus, and these were the only pathogens determined to play a significant role in cause of death. The sampled sites and postmortem intervals tested did not affect the likelihood of a positive or negative test. ANM‐PCR panels are effective, affordable, and rapid ancillary tools in evaluating cause of death in the forensic pediatric population.
has issue date	2017-01-25(xsd:dateTime)
bibo:doi	10.1111/1556-4029.13415
bibo:pmid	28120330
has license	no-cc
sha1sum (hex)	7ab238943d042537c990140af39989af8d9611fc
schema:url	https://doi.org/10.1111/1556-4029.13415
resource representing a document's title	Use of an Automated Nested Multiplex Respiratory Pathogen PCR Panel Postmortem in the Pediatric Forensic Setting
has PubMed Central identifier	PMC7166375
has PubMed identifier	28120330
schema:publication	J Forensic Sci
resource representing a document's body	covid:7ab238943d042537c990140af39989af8d9611fc#body_text
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