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Enregistrement W1980469214 · doi:10.1160/th09-02-0083

From crisis to opportunity: A perspective on the heparin crisis

2009· review· en· W1980469214 sur OpenAlexaboutno aff
Zachary Shriver, Ram Sasisekharan

Notice bibliographique

RevueThrombosis and Haemostasis · 2009
Typereview
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueProteoglycans and glycosaminoglycans research
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of General Medical SciencesNational Heart, Lung, and Blood InstituteNational Institutes of Health
Mots-clésMedicineHeparinAdverse effectIntensive care medicineThrombosisSurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

Thromb Haemost 2009; 102: 854–858 Heparin is a mixture of polysaccharide chains isolated from a biological source, porcine intestinal mucosa, and is used clinically primarily as a prophylactic agent to prevent thrombosis as well as an initial treatment of established venous thrombosis (1). Heparin has enjoyed widespread use as a medicinal agent; it and insulin are, on a unit basis, the most widely used medications in the clinic. Heparin is baseline therapy in a number of situations, such as kidney dialysis and medical intervention in the case of of acute coronary events. In terms of worldwide production, most of the crude, partially-purified, heparin is produced in China; in addition, China is a major locale for purification of crude heparin to form the active pharmaceutical ingredient. In late 2007 and early 2008, clusters of serious allergic-type events were reported in patients undergoing hemodialysis who were receiving heparin (Fig. 1). The first observation was made in a paediatric patient at Children’s Hospital in St. Louis (MO, USA) in mid-November, with additional cases reported in January of 2008. These initial cases were reported to the Missouri Department of Health and Senior Services which then promptly notified the Centers for Disease Control (CDC). On January 4th, the CDC alerted the US Food and Drug Administration (FDA) of the cluster of adverse events. The set of clinical findings coupled with the notion that heparin, a major pharmaceutical agent, was involved in the onset of adverse events triggered an investigation into the root cause in the hopes of quickly averting further harm to patients. The FDA, in conjunction with Baxter Laboratories (Deerfield, Illinois, USA), first withdrew from the market specific lots of heparin on January 17th, and later, on February 28th, all heparin manufactured by the company. Concomitant with the unfolding situation in the United States, suspect heparin lots were identified first in Germany and then in a number of other countries, including Canada, the Netherlands, France, Italy, Japan, China, Australia, and New Zealand. Efforts were made to identify the source of these allergictype reactions, and these initial investigations ruled out many obvious causes, such as the presence of adventitious viral agents or the presence of greater levels of protein impurities in suspect versus non-suspect lots of material (2). Shortly thereafter, on March 5th, the FDA released screening tests, employing nuclear magnetic resonance (NMR) and capillary electrophoresis (CE), which could be used to screen heparin lots and determine whether they were acceptable for use (3). Based on initial results from the screening tests and delineation of suspect lots from those that were clean, properties of the non-heparin material present within suspect lots could be surmised (Fig. 2). First, in the CE method, based on the migration properties of the unknown material with reference to heparin, as well as its UV-absorbing properties, the contaminant was likely to be a polysaccharide which had a higher charge density than heparin. Second, based on a distinctive proton NMR signature at 2.1–2.2 ppm, the polysaccharide contaminant was suspected to contain N-acetylgalactosamine. However, complicating the interpretation and identification of a contaminant was the fact that heparin can often be co-purified with other sulfated glycosaminoglycans, such as dermatan sulfate and chondroitin sulfate, which also contain N-acetylgalactosamine (see bottom panel of Fig. 2B). Thus, there was the additional question of whether the signatures associated with suspect heparin lots measured with these tests were simply “harmless” impurities within heparin or, conversely, an agent (or agents) which could lead to the development of allergic-type responses. An additional complicating factor was that, concurrent with the spike in serious adverse events, there was a widespread outbreak of blue-ear virus among Chinese pigs. Thus, were the signatures associated with suspect heparin the result of impurities arising from a change in manufacturing or the source material or were they the result of something else? To solve this set of questions, address the root cause of the spike in serious adverse events, and provide a scientific foundation upon which quality control tests could be developed, the FDA brought together a multidisciplinary team from the agency, academia, and industry. In a matter of weeks, beginning in early March, this team identified the signatures from the screening tests as belonging to oversulfated chondroitin sulfate (OSCS) (4), a complex polysaccharide mixture in its own right which had never before been observed in heparin. Multiple lines of evidence converged to provide definitive identification of OSCS including multidimensional NMR, enzymatic digestion and HPLC

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,062

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,009
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0050,014
Communication savante0,0110,021
Science ouverte0,0030,008
Intégrité de la recherche0,0260,028
Charge utile insuffisante (le modèle a refusé de juger)0,0180,003

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.

Tête enseignante Opus0,146
Tête enseignante GPT0,416
Écart entre enseignants0,270 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations24
Publié2009
Routes d'admission1
Résumé présentoui

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