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Enregistrement W2044060616 · doi:10.1177/0148607110361906

Aluminum Contamination of Parenteral Nutrition Fluids

2010· article· en· W2044060616 sur OpenAlexaboutno aff
Jay M. Mirtallo

Notice bibliographique

RevueJournal of Parenteral and Enteral Nutrition · 2010
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAluminum toxicity and tolerance in plants and animals
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCompoundingAluminiumParenteral nutritionContaminationMedicineToxicityPharmacyIntensive care medicineMaterials sciencePharmacologyMetallurgyInternal medicineFamily medicine

Résumé

récupéré en direct d'OpenAlex

Those ordering and preparing PN should be aware of the potential for aluminum contaminants in these products. The compounding pharmacy may wish to develop a database of the aluminum content of products used in preparation of PN. Clinicians may want to purchase equivalent products that have the lowest aluminum content and monitor changes in the pharmaceutical market that affects aluminum concentrations. All healthcare providers involved with PN should attempt to limit aluminum exposure in at risk patients. Patient monitoring of aluminum toxicity may not be possible or reliable in many clinical settings. Since the FDA rule, we have learned more about aluminum in PN fluids as well as other sources of aluminum in patients receiving parenteral therapy. In PN, calcium and phosphate salts as well as cysteine hydrochloride are major contributors to the overall aluminum content in adult and neonatal formulations.3,7 Using the labeled amount of aluminum in PN products to estimate aluminum content, Driscoll and Driscoll8 found that it is virtually impossible to prepare a PN that is less than the FDA limit of 5 µg/kg/d and meet the nutritional needs of the patient. Speerhas and Seidner9 found that the measured content of aluminum was 7–10 times lower than that estimated from the product labels. However, the amount of aluminum in all of the neonatal and pediatric solutions tested exceeded the FDA limits whereas only 2 of the adult formulations exceeded the limit. Canada10 reviewed the studies of aluminum contamination in PN fluids and found that those prepared in other countries had less aluminum than those prepared in the United States. The lower aluminum content was attributed to the use of an organic phosphorus source that contains less aluminum than the inorganic salts used in the United States. The organic phosphorus is also more compatible with calcium chloride, which has lower aluminum content than the gluconate salt. Canada also reported on the success in Germany by Frey and Maier11 in reducing aluminum concentration by 96% as the result of repackaging calcium gluconate from glass containers to polyethylene vials. This reduced the daily intake of pediatric patients receiving PN from a range of 30–40 µg/kg/d down to 2–3 µg/kg/d. Bohrer et al7,12,13 and de Oliveira et al14 provide further credence to the FDA rule and remind us that aluminum continues to be a concern that should be addressed. In previous publications, this group demonstrated that aluminum in commercial products was present in the raw materials of the product but the amount did not fully explain the entire content of aluminum measured.7 This group also determined that the amount of aluminum leached from glass containers with rubber closures is a significant contributor to aluminum present in parenteral products.12,13 In their article published in this issue of JPEN, de Oliveira et al14 demonstrate that product manipulation during preparation and the products used for parenteral administration contribute significantly to the amount of aluminum infused to neonates. All steps involved in the preparation and administration of intravenous solutions for premature infants were assessed for potential contribution to the daily aluminum load being administered. Commercial products used in PN preparation, injectable medications, and products used in packaging and administering parenteral products (bags, burettes, syringes, and administration sets) were contaminated with aluminum. Although commercial products were the main source of aluminum, product manipulation, containers, and administration sets increased aluminum levels by 40%. This is a substantial amount of aluminum not originally considered in the FDA rule. Neonates are the patient population most likely to be adversely affected by aluminum loads infused in parenteral therapy. In the United States, calcium and phosphorus intakes need to be eliminated or substantially decreased below nutritional needs for neonates in order to limit the aluminum load presented by PN. An alternative to reducing aluminum loads to neonates is to not administer PN because the aluminum content of PN prepared in the United States is too high. These are not acceptable options to clinicians caring for neonates. Aluminum is present in all products used in parenteral therapy. Even though PN contributes the majority of aluminum that is infused, drug products, administration sets, and product manipulation will also influence the final amount of aluminum infused on a daily basis. The new information provided by de Oliveira et al14 reinforces the recommendation that clinicians have a heightened awareness of aluminum contamination of parenteral products ordered and administered in their daily practice. Ingredients with the lowest amount of aluminum should be used in the preparation of PN. The use of products packaged in glass containers with rubber closures should be avoided. We as clinicians should insist that small-volume parenterals be packaged in polyethylene containers. Finally, it may be time to partner with manufacturers to bring to the U.S. market organic phosphorus products for PN compounding like those that have allowed our European colleagues to substantially limit the amount of aluminum contamination in their PN fluids.

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)0,002
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,011
Tête enseignante GPT0,221
Écart entre enseignants0,210 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations8
Publié2010
Routes d'admission1
Résumé présentoui

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