Livor Mortis and Forensic Dermatology: A Review of Death-Related Gravity-Dependent Lividity and Postmortem Hypostasis
Notice bibliographique
Résumé
Livor mortis is an early postmortem change; it is also referred to as dependent lividity or postmortem hypostasis. This is a narrative review; the PubMed search engine was used to obtain citations of relevant articles. The following terms, by themselves and in combination, were used to screen for appropriate published manuscripts that described the features of livor mortis: color, cutaneous, dermatology, fatal, forensic, hypostasis, lividity, livor, mortis, and postmortem. The articles obtained from those searches were reviewed, and the relevant references cited by the articles were evaluated. Lividity typically presents as small blanchable red-purple macules and patches on the dependent areas of the decedent; it is usually observed within two hours after the person has died; however, it can be noted as early as 20 minutes after death. After four to six hours, hypostasis becomes more readily apparent; the smaller lesions become confluent and occur in larger regions of the body. However, contact pallor is observed in the dependent areas affected by direct pressure; these sites do not become red-purple. Livor mortis is usually "fixed," and not blanchable, after eight to 12 hours. A bruise is the most common condition in the clinical differential diagnosis of lividity. The onset and duration until fixation of postmortem hypostasis are variable; lividity is also influenced not only by temperature but also by other factors. Livor mortis has at least three potential applications in forensic medicine. The first is that lividity, usually in combination with information from other postmortem changes, can be used to estimate the time since death; however, livor mortis is not reliable as an independent observation for establishing a range for the postmortem interval. The second is that livor mortis, when fixed, can be very helpful to establish that a decedent has been moved after death. The third is that the color of the lividity may possibly provide information regarding the cause of death; for example, carbon monoxide intoxication, hypothermia, or cyanide poisoning can be associated with cherry-red or pink lividity. New discoveries in medical technology have provided the ability to incorporate the use of spectrophotometric analysis of lividity to provide an objective assessment of postmortem hypostasis and correlate the information to more accurately estimate the postmortem interval.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».