MétaCan
Menu
Retour à la cohorte
Enregistrement W4241092837 · doi:10.1002/pdi.2191

Sodium valproate

2018· article· en· W4241092837 sur OpenAlexaboutno aff
Cameron Brown, Christopher Smith

Notice bibliographique

RevuePractical Diabetes · 2018
Typearticle
Langueen
DomaineMedicine
ThématiquePharmacological Effects and Toxicity Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAnticonvulsantSodium channelPharmacologySodium channel blockerGabapentinCarbamazepineEpilepsyValproic AcidNeuroscienceSodiumChemistryPsychologyPsychiatry

Résumé

récupéré en direct d'OpenAlex

Sodium valproate is an anticonvulsant that was discovered by French researchers in 1963. It first came to market in the UK in 1972. It is known to be effective across a broad spectrum of epilepsies, and sodium valproate remains a cornerstone of epilepsy management despite the discovery of many newer agents. Peripheral neuropathy is present in up to one-third of people with diabetes mellitus, and symptoms commonly persist despite conventional treatments. Although not currently licensed for this indication, sodium valproate has been shown in a number of small scale trials to be of benefit in painful peripheral neuropathy. The broad anticonvulsant activity of sodium valproate results from its effects on a number of neuronal pathways. It has close molecular structure to the inhibitory neurotransmitter γ-aminobutyric acid (GABA), and thus has strong GABA-ergic effects. It is thought to potentiate GABA activity by inhibiting enzymes that catabolise GABA or by blocking GABA reuptake to glia and nerve endings (Figure 1). Valproate also reduces repetitive neuronal firing by blocking voltage gated Na+ channels. Sodium channels exist in the resting, open or inactivated state, and continually cycle through these states in turn. This drug slows the recycling process by binding to the channel protein in the inactivated step (Figure 1). Anti-convulsant medications more traditionally used in painful neuropathy (e.g. gabapentin and carbamazepine) exert their influence through similar mechanisms. Sodium valproate is also thought to blockade low voltage t-type calcium channels. These channels open in response to low levels of depolarisation and are potentially implicated in absence seizures. The usual maintenance dose of valproate is 1–2g per day. Patients should be started at 600mg per day and up-titrated in 150–300mg increments every three days. At therapeutic levels valproate is highly protein bound (90%) and the half-life is 9–16 hours. It is available as tablet (immediate release or enteric coated), syrup and intravenous preparations. Switching between preparations may have effects on the drug concentration; however, usually valproate can be switched on a 1:1 ratio between oral and intravenous administration. Valproate is readily absorbed in the gastrointestinal tract and reaches peak plasma concentrations within 4 hours for immediate release preparations. It is metabolised by the liver via three main mechanisms. Around 50% undergoes glucuronidation and is excreted in urine as valproate glucuronide. Mitochondrial beta- oxidation accounts for 40%, and the metabolites from this mechanism are responsible for the hepatotoxic effects of this drug. Finally, around 10% is oxidised by cytochrome P450 enzymes. This is an important source of medication interactions, most frequently encountered when co- prescribing with an enzyme inducing anti-epileptic medication (e.g. carbamazepine, and phenytoin). Important side effects of valproate include hepatotoxicity, pancreatitis and teratogenicity. Valproate should be avoided in patients with a personal or family history of liver disease. Significant hepatotoxicity (<1%) usually occurs within the first six months of therapy and liver function tests should be monitored during this period. Elevations in transaminases are usually transient, but the drug should be stopped if elevation is maintained or pro-thrombin time becomes impaired. Acute pancreatitis is a rare side effect (0.1%) but can occur at any time. The mechanism of this side effect is unclear, therefore other agents may be better first-line choices if there is a significant pancreatic history. Recent guidance from the Medicines and Healthcare products Regulatory Agency has suggested that due to teratogenicity valproate should be avoided in women of childbearing age unless a pregnancy prevention programme is in place. Other common side effects include drowsiness, tremor, hair loss, nausea and abdominal cramping. Weight gain is frequently reported when commencing valproate, a particular consideration if a patient with diabetes is overweight or obese. This has been specifically investigated in one double-blind, prospective controlled study. Patients were treated with valproate (n=68) or lamotrigine (n=65) and after 32 weeks there was a trend towards increased weight gain in the valproate group 5.8kg (±4.2kg) versus 0.5kg (±5.4kg).1 Valproate in the treatment of peripheral neuropathy was the subject of a Cochrane review in 2011.2 Only three studies were found to be of adequate quality and two of these specifically focused on diabetic peripheral neuropathy. Agrawal3 and Kochar4 both completed prospective, single-centre, randomised, double-blind, placebo-controlled trials of three months in duration. Both studies used a combination of McGill's pain questionnaire (SF-MPQ), visual analogue scale (VAS) and present pain index (PPI) to assess pain and reported mean changes as their primary outcome. Both studies are prone to overestimation of the association and the influence of random chance due to their small sample size, and this may account for their lack of consistency. Agrawal3 included 20 participants, with both type 1 and type 2 diabetes, taking 20mg/kg/day of valproate and 20 control participants taking placebo. There was a significant reduction in SF-MPQ, VAS and PPI between 0 and 3 months in the treatment group; however, when compared with the placebo group there was no significant change. Kochar4 had 21 participants with type 2 diabetes taking 500mg per day of valproate versus 18 taking placebo. In this trial, there was a significant reduction in SF-MPQ, VAS and PPI over the three months and when compared with the placebo group. On the basis of the above studies the Cochrane review concluded that there is limited evidence for valproate in neuropathy and it should not be considered a first-line agent for this indication. The American Association of Neurology conducted a similar review,5 also published in 2011, which does recommend the use of valproate in peripheral neuropathy. Included in this review were studies of shorter duration and the literature search pre-dated the most recent paper3 which showed no difference between valproate and placebo. Sodium valproate may have benefit for patients with diabetic peripheral neuropathy; however, there is a lack of high-quality data to support this and the completed studies reveal inconsistent results. Current guidelines support the use of other anti- epileptics as first-line and second- line medications, so the use of sodium valproate in peripheral neuropathy should be only considered in treatment resistant cases. Recently, valproate has also been found to promote histone acetylation through inhibition of HDAC enzymes. Histone acetylation has been linked to the pathogenesis of type 2 diabetes and diabetes-related complications, and it is also implicated in anti-tumour mechanisms. This may give rise to further indications for valproate in the future.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
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: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,033
Score d'incertitude au seuil0,111

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0330,031

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 Opus0,055
Tête enseignante GPT0,387
Écart entre enseignants0,333 · 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

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuePractical DiabetesMême sujetPharmacological Effects and Toxicity StudiesTravaux en français237 207