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Enregistrement W2089259280 · doi:10.1111/bjh.13294

A comparison of chronic manual and automated red blood cell exchange transfusion in sickle cell disease patients

2015· letter· en· W2089259280 sur OpenAlexaffabout
Kevin H.M. Kuo, Richard Ward, Banu Kaya, Jo Howard, Paul Telfer

Notice bibliographique

RevueBritish Journal of Haematology · 2015
Typeletter
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicinePhlebotomyObservational studyIntensive care medicineDiseaseBlood transfusionInternal medicine

Résumé

récupéré en direct d'OpenAlex

Chronic transfusion is one of the few effective means for treating or preventing the multisystem complications in sickle cell disease (SCD). Red blood cell (RBC) exchange transfusion (RBCX) is often preferred over simple transfusion because it rapidly reduces sickle haemoglobin (HbS) without raising final haematocrit (Hct), and there is some evidence that it may further reduce the risk of subsequent stroke (Hulbert et al, 2006). With new indications emerging (Casella et al, 2010), it is imperative that effective means of chronic transfusion to maintain appropriate haematological and clinical targets are identified. Some centres advocate the use of manual RBCX, where patients undergo sequential phlebotomies and transfusions at each session as it is a less resource-intensive procedure than automated RBCX. Proponents of automated RBCX argue that it is achieves haematological targets quickly and more consistently. However, no observational or controlled studies comparing automated with manual RBCX in either the paediatric or the adult setting have been reported. This study examined whether adult SCD patients on manual RBCX differ from those on automated RBCX in their ability to achieve pre-defined haematological targets, rate of complications, blood usage and clinical outcome over a 1-year period. This retrospective observational cohort study was conducted as part of a quality assurance audit between 1 May, 2011 and 30 April, 2012 at two SCD comprehensive care centres in London, United Kingdom. Subjects were included if they had a confirmed diagnosis of SCD, received regular RBCX (>1 session) between 1 May 2011 and 30 April 2012 and were aged >16 years. Bart's Health NHS Trust (BHT) performs manual RBCX while Guy's and St. Thomas NHS Trust (GSTT) performs automated RBCX exclusively. Both institutions adhere to the same clinical standards of comprehensive care (Olujohungbe, 2008), indications for chronic transfusion and pre-RBCX HbS targets (Table SI). All RBC units are provided by the UK National Blood Service [average packed RBC Hct (pRBC) 0·6]0, leucodepleted, HbS negative, ≤7 d old, phenotypically matched (for D, C/c, E/e, Kell antigens) and antigen-negative for any known alloantibodies. A total of 51 subjects, totalling 401 RBCX sessions and 38·8 patient-years of observation, were included. Table 1 summarizes the patient demographics and baseline characteristics. The distribution of the pre-RBCX HbS/SC fraction was found to be highly variable both within and between subjects (Fig 1). Although the mean pre-RBCX HbS/SC fraction was not significantly different between the two cohorts (P = 0·212), a greater proportion of subjects in the automated RBCX cohort were able to consistently achieve the pre-RBCX HbS/SC target compared to the manual RBCX cohort (P = 0·048). After adjusting for the prescribed pre-RBCX HbS/SC target, the Mantel-Haenszel Odds Ratio (OR) estimate for not attaining target because manual RBCX was employed was 4·72 [95% confidence interval (CI): 0·89–25·20]. On multivariate logistic regression, only older age was associated with a higher likelihood of consistently achieving the pre-RBCX HbS/SC target (OR 1·12, P = 0·012). There was no significant difference in the median post-RBCX haematocrit (P = 0·931). Automated RBCX utilized more pRBC in both the volume (P < 0·0001) and units (P < 0·0001) but required half the time (P < 0·0001) and was performed less frequently (P = 0·001) than manual RBCX (Table 1). Treatment failure, defined as a SCD-related complication that the RBCX was intended to prevent, did not occur in any subjects within the defined observation period, with the exception of pain. No significant difference in adverse event rates was observed (Table 1, P = 0·7953). The majority of the adverse events in the manual RBCX cohort were termination of RBCX procedure due to poor intravenous access, blocked line or port, while the majority of the adverse events in the automated RBCX cohort were attributed to dizziness or hypotension. In this first systematic comparison of two RBCX methods, a higher proportion of the automated RBCX cohort was able to consistently achieve the prescribed pre-RBCX HbS/SC target while utilizing less time than the manual RBCX cohort. However, a large number of subjects in both cohorts were not able to achieve their prescribed target. Published literature has shown that the ability to achieve the requisite pre-RBCX HbS/SC target can be quite variable (Aygun et al, 2012; Ware & Helms, 2012). The evidence for the chosen pre-RBCX HbS/SC target of <30% was largely derived from the STOP (Stroke Prevention in Sickle Cell Anaemia) and STOP2 trials (Adams et al, 1998; Adams & Brambilla, 2005), the SWiTCH (Stroke With Transfusions Changing to Hydroxyurea) trial (Ware & Helms, 2012) and retrospective data (Pegelow et al, 1995). Indications without the support of randomized controlled trials (RCTs) were largely drawn from retrospective cohort studies (Cohen et al, 1992; Miller et al, 1992) or expert opinion. Performing a larger volume manual RBCX may improve the pre-RBCX HbS/SC but will present a formidable challenge as the duration of the RBCX session will be lengthened beyond 4 h and will increase the risk of hypotension and syncope. The major advantage of automated RBCX is that it can circumvent all of the above issues and optimization of outcomes can be achieved by shortening the RBCX interval. Patients with low baseline haematocrit and those who are not consistently achieving the prescribed pre-RBCX HbS target may be placed on automated RBCX as this can overcome the limitations imposed by manual RBCX. However, the technical and resource demands of automated RBCX may prevent its widespread adoption in resource-constrained institutions unless it can be shown to be more cost-effective than manual RBCX. Limitations of this study include its retrospective nature, the relatively short follow-up period, selection bias and unknown systematic differences between the two cohorts; these limitations could be resolved by performing a RCT. Even though a significant number of subjects were unable to consistently reach their prescribed pre-RBCX HbS/SC targets, the lack of neurological sequelae and treatment failure (with the exception of pain) suggests that a less stringent target may be sufficient. This question will need to be answered first by hypothesis-generating observational studies examining the longitudinal clinical outcomes in relation to their RBCX parameters, with the aim of proposing new HbS/SC targets. The proposed targets can then be compared to the current targets in a RCT setting. K.H.M.K.'s fellowship was funded in part by American Society of Hematology's Alternative Training Pathway Grant and an unrestricted educational grant from Novartis Canada. K.H.M.K. contributed to the concept, design and execution of the study, analysis and interpretation of data, critical writing and revising of intellectual content. R.W., J.H., and P.T. contributed to the concept and design of the study, interpretation of data, and revising of intellectual content. B.K. contributed to the interpretation of data and revising of intellectual content. All authors have given final approval for this version of the manuscript to be published. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,414
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,265
Écart entre enseignants0,254 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
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

Citations48
Publié2015
Routes d'admission2
Résumé présentoui

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