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Enregistrement W2128338622 · doi:10.1086/504878

<i>Editorial Commentary:</i>Genetic Screening to Prevent Abacavir Hypersensitivity Reaction: Are We There Yet?

2006· editorial· en· W2128338622 sur OpenAlexaff
Elizabeth J. Phillips

Notice bibliographique

RevueClinical Infectious Diseases · 2006
Typeeditorial
Langueen
DomaineMedicine
ThématiqueDrug-Induced Adverse Reactions
Établissements canadiensSt. Paul's Hospital
Organismes subventionnairesnon disponible
Mots-clésAbacavirMedicineHypersensitivity reactionIntensive care medicineDermatologyFamily medicineImmunologyHuman immunodeficiency virus (HIV)Antiretroviral therapy

Résumé

récupéré en direct d'OpenAlex

Pharmacogenetics is hardly a new field, with early discoveries of genetic differences in drug-metabolizing enzymes dating back to the early 1960s. However, despite the increasing knowledge base regarding variation in drug response and toxicity related to pharmacogenetic factors and the simplification and increased availability of molecular technologies, there have been major barriers to the introduction of genetic testing into routine clinical practice [1]. Factors favoring uptake of a genetic test into clinical practice are shown in table 1. The lack of incorporation of testing into practice has related primarily to (1) the availability of laboratory markers that correctly phenotype drug response or toxicity (e.g., drug levels for anticonvulsants or international normalized ratio for warfarin), (2) the lack of standardized clinical or laboratory guidelines or algorithms for the interpretation of genetic test results, and (3) the paucity of evidence-based medicine showing that the prospective use of pharmacogenetic screening positively impacts patient outcome. Factors favoring implementation of a pharmacogenetic test into clinical practice. Abacavir hypersensitivity reaction is a potentially life-threatening disease that occurs in ∼5% of patients initiating therapy with this drug. It sets itself apart from the majority of other drug toxicities encountered in clinical practice—which tend to be multifactorial in etiology, dose related, and pharmacologically predictable—in that its occurrence appears to be largely unrelated to dose, and its clinical presentation is more severe in cases of reexposure. Furthermore, clinical diagnosis of this disease (which most commonly presents 9–11 days after initiation of therapy) has been confounded by an overlap of symptoms and signs with those of other drug hypersensitivities, viral infections, and immune restoration diseases. Although the occurrence of abacavir hypersensitivity reaction has been more common in Caucasian subjects (occurring in 8% of such subjects who initiate abacavir therapy), other clinical factors have not been useful in the prediction of this disease, and the risk of morbidity and even mortality on rechallenge precludes future use of abacavir in an individual who has been labeled with abacavir hypersensitivity syndrome. A major breakthrough occurred in 2002 with the publication by 2 independent groups of a strong association between a specific HLA (HLA-B*5701) and abacavir hypersensitivity reaction [2, 3]. In this issue of Clinical Infectious Diseases, one of these groups—from Perth, Western Australia—describes their experience with the implementation of prospective screening for HLA-B*5701 in a single-center cohort since January 2002, compared with their experience in the prescreening era from January 1998 through December 2001 [4]. Convincingly, this study has shown that, of 148 patients found to be HLA-B*5701 negative and exposed to abacavir since January 2002, only 6 patients (4%) had abacavir discontinued within 6 weeks; all 6 of these patients had presentations clinically inconsistent with abacavir hypersensitivity reaction (nonspecific symptoms, single-symptom disease, or symptoms that did not respond to abacavir dechallenge). These patients were also found to have negative results of patch testing, which has emerged as a promising diagnostic technique for confirmation of abacavir hypersensitivity reaction [5]. Of note, among 151 patients exposed to abacavir, each of the 3 patients who developed convincing clinical evidence of abacavir hypersensitivity reaction had been HLA-B*5701 positive on screening, with 2 of these 3 patients being inadvertently exposed to abacavir because of a lack of review of HLA results before abacavir prescription and 1 of these 3 patients being exposed on the basis of his own consent. All 3 of these patients had strongly positive abacavir patch test results. Overall, despite the prescription of abacavir for 3 patients known to be HLA-B*5701 positive, this group was able to show a statistically significant decrease in the incidence of “true” abacavir hypersensitivity reaction, from 8% in the era before genetic screening for HLA-B*5701 to 2% after the implementation of genetic screening. There are several important conclusions and implications of this study that should be highlighted. First, this is one of the first studies in which prospective implementation of a pharmacogenetic screening test that requires a yes or no interpretation has been shown to convincingly reduce the occurrence of a defined toxicity. Perhaps of even more interest, this study has shown not only that implementation of genetic screening was associated with a significant reduction in the incidence of true abacavir hypersensitivity but also that the incidence of overall early abacavir discontinuations decreased from 16.5% in the prescreening era to 6% after screening was implemented [4]. One might interpret this as implying that we have become better at the clinical diagnosis of abacavir hypersensitivity reaction over time; however, other groups not using screening have, in fact, seen an increase in early discontinuation of abacavir therapy since 2001 [6]. An alternate explanation is that genetic screening provides additional information that allows clinical pharmacovigilence to be applied more intelligently to an individual patient population. Where does this leave us in terms of the application of genetic screening for HLA-B*5701 to our own clinic populations initiating abacavir therapy? First, there are several practical issues with regard to broad-based application of screening to HIV clinic populations. Clearly, the utility, cost-effectiveness, and generalizability of genetic screening to a given clinic population will depend on knowledge of the prevalence of HLA-B*5701 in that population, which has been shown to be closely linked to the incidence of abacavir hypersensitivity reaction in a given population. In clinics serving a predominantly Caucasian population, the overall incidence of abacavir hypersensitivity is 5%–8%, which means that, from a feasibility and cost-effectiveness standpoint, only ∼14 patients would need to be screened to prevent 1 case of abacavir hypersensitivity reaction. However, this ratio would be much less cost-effective in certain Asian and African black populations, for whom the prevalence of HLA-B*5701 is <1% (figure 1). The wide range of frequencies of abacavir hypersensitivity reaction described in clinical trials (0%–14%) is at least in part attributable to ethnic or racial differences in enrollees in these studies. Regardless, the clinical implications of HLA-B*5701 positivity appear to be the same, and we assume that an HLA-B*5701–positive African black subject is just as likely to experience abacavir hypersensitivity reaction as an HLA-B*5701–positive Caucasian subject. In addition, data from patch testing studies, which to date have shown 100% correlation between positive patch test results and HLA-B*5701 positivity (and which have identified no other genetic markers independently associated with abacavir hypersensitivity reaction), have been reassuring [8, 9]. The prevalence of HLA-B*5701 in different parts of the world. These carriage frequencies mirror the incidence of abacavir hypersensitivity in exposed individuals. Adapted from [7]. At the end of the day, we have to be clear about both what we can and what we cannot currently accomplish with HLA-B*5701 screening for abacavir hypersensitivity reaction. The data from Western Australia [4] reassures us that genetic screening can prevent true abacavir hypersensitivity and, intriguingly, may also lower the rate of false-positive diagnosis of abacavir hypersensitivity syndrome. Screening, therefore, shows promise to be cost-effective, both by lowering the morbidity associated with true hypersensitivity reactions and by reducing inappropriate early discontinuation of therapy. Importantly, a point that is often overlooked is that screening should actually significantly increase the safety of abacavir use by promoting proactive avoidance of abacavir use in the HLA-B*5701–positive population, who would be at risk for death as the result of inadvertent rechallenge with abacavir. Genetic screening for abacavir hypersensitivity reaction also warrants a few words of caution. Screening should promote a more intelligent pharmacovigilence, but it should in no way be used as a substitute for clinical judgment or pharmacovigilence. A large, randomized, controlled trial is planned that will enroll subjects from sites in Europe and Australia; this trial will provide more-definitive information on the utility and generalizability of HLA-B*5701 screening in diverse populations. At this time, HLA-B*5701 screening is best positioned as a screening test for abacavir-naive populations and should not be used as a rationale for rechallenge in abacavir-exposed individuals. Because high-resolution HLA typing is costly, is performed in specialized immunology and transplant laboratories, and has long turnaround times, more-rapid and cheaper validated molecular tests, such as the recently published HLA-B57 sequence-specific amplification and flow cytometric techniques, will be welcomed [10, 11]. Rauch et al. [4], in their description of 2 HLA-B*5701–positive patients who were inadvertently exposed to abacavir despite positive screening results, emphasize an important point: genetic screening will simply not work unless the test results are acted upon! Ensuring the reliable and timely transmission of information from laboratory to clinician will be vital to the safety and success of such genetic screening programs. Potential conflicts of interest. E.J.P. is a consultant for GlaxoSmithKline, Abbott, and Pfizer.

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)0,005
score de la tête « metaresearch » (Gemma)0,017
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: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,027

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,017
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,003
Communication savante0,0040,004
Science ouverte0,0050,001
Intégrité de la recherche0,0250,027
Charge utile insuffisante (le modèle a refusé de juger)0,0080,009

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 Opus0,030
Tête enseignante GPT0,360
Écart entre enseignants0,330 · 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
GenreÉditorial

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

En bref

Citations70
Publié2006
Routes d'admission1
Résumé présentoui

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