Parameters for estimating the time of death at perinatal autopsy of stillborn fetuses: a systematic review.


Journal

International journal of legal medicine
ISSN: 1437-1596
Titre abrégé: Int J Legal Med
Pays: Germany
ID NLM: 9101456

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 22 10 2018
accepted: 02 01 2019
pubmed: 9 1 2019
medline: 4 4 2019
entrez: 9 1 2019
Statut: ppublish

Résumé

Stillbirth is defined by the WHO as birth of a fetus with no vital signs, at or over 28 weeks of pregnancy age. The estimation of time of death in stillbirth appears crucial in forensic pathology. However, there are no validated methods for this purpose. To perform a systematic review of the available literature regarding the estimation of the time of death in stillborn fetuses, in terms of hours or days. Electronic databases were searched from their inception to August 2018 for relevant articles. Macroscopic, histologic, and radiologic parameters were evaluated. Nine studies with 664 stillborns were included. The evaluation of extent and location of fetal maceration signs showed good accuracy in estimating the time of death; by contrast, a dichotomous assessment of maceration (present vs absent) was found to be unreliable in a subsequent study. Histologic assessment of the loss of nuclear basophilia in fetal and placental tissues showed excellent accuracy; an "autolysis equation" was proposed to achieve an even higher accuracy in fetuses who had been dead for < 24 h. Magnetic resonance imaging of the lung parenchyma, pleural fluids, and brain parenchyma could estimate the death-to-autopsy time, but the results appeared weak and conflicting. Pathologic examination, based on the assessment of maceration, and even more of the loss of nuclear basophilia, may be a reliable method to estimate the time of death in stillborn fetuses. Further studies should be encouraged to validate these results. Imaging techniques have not yet found application in this field.

Sections du résumé

BACKGROUND BACKGROUND
Stillbirth is defined by the WHO as birth of a fetus with no vital signs, at or over 28 weeks of pregnancy age. The estimation of time of death in stillbirth appears crucial in forensic pathology. However, there are no validated methods for this purpose.
OBJECTIVE OBJECTIVE
To perform a systematic review of the available literature regarding the estimation of the time of death in stillborn fetuses, in terms of hours or days.
METHODS METHODS
Electronic databases were searched from their inception to August 2018 for relevant articles. Macroscopic, histologic, and radiologic parameters were evaluated.
RESULTS RESULTS
Nine studies with 664 stillborns were included. The evaluation of extent and location of fetal maceration signs showed good accuracy in estimating the time of death; by contrast, a dichotomous assessment of maceration (present vs absent) was found to be unreliable in a subsequent study. Histologic assessment of the loss of nuclear basophilia in fetal and placental tissues showed excellent accuracy; an "autolysis equation" was proposed to achieve an even higher accuracy in fetuses who had been dead for < 24 h. Magnetic resonance imaging of the lung parenchyma, pleural fluids, and brain parenchyma could estimate the death-to-autopsy time, but the results appeared weak and conflicting.
CONCLUSION CONCLUSIONS
Pathologic examination, based on the assessment of maceration, and even more of the loss of nuclear basophilia, may be a reliable method to estimate the time of death in stillborn fetuses. Further studies should be encouraged to validate these results. Imaging techniques have not yet found application in this field.

Identifiants

pubmed: 30617766
doi: 10.1007/s00414-019-01999-1
pii: 10.1007/s00414-019-01999-1
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

483-489

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Auteurs

Mariano Paternoster (M)

Legal Medicine Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Naples, Italy.

Mauro Perrino (M)

Legal Medicine Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Naples, Italy.

Antonio Travaglino (A)

Anatomic Pathology Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy. antonio.travaglino.ap@gmail.com.

Antonio Raffone (A)

Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.

Gabriele Saccone (G)

Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.

Fulvio Zullo (F)

Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.

Francesco Paolo D'Armiento (FP)

Anatomic Pathology Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy.

Claudio Buccelli (C)

Legal Medicine Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Naples, Italy.

Massimo Niola (M)

Legal Medicine Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Naples, Italy.

Maria D'Armiento (M)

Pathology Unit, Department of Public Health, School of Medicine, University of Naples Federico II, Naples, Italy.

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Classifications MeSH