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Enregistrement W2621042377 · doi:10.1111/hae.13269

Point of care ultrasound in haemophilia: Building a strong foundation for clinical implementation

2017· article· en· W2621042377 sur OpenAlexafffundabout
W. Lawson, Michael Uy, Karen Strike, Alfonso Iorio, Nina Stein, Lori Koziol, Anthony K.C. Chan

Notice bibliographique

RevueHaemophilia · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueUltrasound in Clinical Applications
Établissements canadiensHamilton Regional Laboratory Medicine ProgramHamilton Health SciencesRegional Municipality of NiagaraMcMaster Children's HospitalMcMaster UniversityMohawk College
Organismes subventionnairesNovo NordiskIC Design Education CenterBaxaltaHamilton Health SciencesBiogenBayerMcMaster UniversityPfizer
Mots-clésMedicineHaemophiliaHemarthrosisHaemophilia BMagnetic resonance imagingArthropathyHaemophilia APoint of careSynovitisSoft tissueRadiologyUltrasoundIntensive care medicineSurgeryPathologyInternal medicineOsteoarthritis

Résumé

récupéré en direct d'OpenAlex

Haemophilia A and B are X-linked recessive diseases that result in a deficiency in coagulation factor VIII and IX respectively. These low levels of factor cause a decrease in thrombin formation, which in turn promotes haemorrhage into articular joints.1 The resultant blood products stimulate chondrocyte apoptosis, synovitis and subchondral bone changes, leading to arthropathy.2 Even a single episode of haemarthrosis can potentially increase the risk of poor long-term joint outcomes.3, 4 Accurate diagnosis and timely therapy of joint haemorrhage are then critical to patient care. Investigators utilize physical assessment for diagnosis; however, recent studies have shown that the physical exam alone lacks accuracy in determining the extent of haemarthrosis and its resolution.3, 5, 6 As a result, patients/providers may prematurely lower their factor treatment doses and return to normal physical activity, which may lead to re-bleeding. Several imaging modalities are used in the diagnosis of haemarthrosis. Ultrasound (US), when compared to magnetic resonance imaging (MRI) and computed tomography (CT), is quick, non-ionizing, inexpensive and accurate in diagnosing soft tissue abnormalities in patients with haemophilia.3, 7 Point-of-care-ultrasound (POC-US) has recently gained recognition in its use as an adjunct tool in the haemophilia setting.6, 8 However, the user dependency of POC-US necessitates that users be properly trained and competent in the technology to avoid misuse and misdiagnosis. Guidelines and recommendations should be established to facilitate appropriate training, use, and implementation of POC-US as a diagnostic tool in haemophilia. POC-US, and US performed in a diagnostic imaging department, each have distinct indications and outcomes. Diagnostic US is traditionally used to systematically map out normal and abnormal anatomy, assess function and provide guidance for diagnostic and interventional procedures. Additionally, these examinations are performed by credentialed diagnostic medical sonographers and interpreted by radiologists, both having dedicated training and access to the appropriate equipment and infrastructure. POC-US, on the other hand, is goal-orientated and is utilized to provide immediate critical information to the healthcare practitioner (HCP). The Canadian Association of Radiologists has defined POC-US as an examination provided by a HCP, to be used in adjunct to the physical examination to identify the presence or absence of a specific finding.9 In the context of haemophilia, POC-US offers several benefits. POC-US eliminates waiting times for diagnostic imaging in radiology, verifies the presence or absence of haemarthrosis, monitors response to factor treatment, provides evidence to inform decision-making around physical activity, and identifies pain not related to an acute bleeding event.6, 10, 11 To capitalize on the benefits of POC-US in haemophilia management, a robust implementation strategy is needed. From the expert consensus of the authors, and drawing from other governing bodies' guidelines for POC-US use in a healthcare setting—such as the Canadian Society of Radiologists (CAR),9 American Society for Echocardiography (ASE),7 Canadian Society of Echocardiography (CSE)12 and the International Federation for Emergency Medicine (IFEM)13—several recommendations for POC-US in haemophilia care are put forward in this text that seek to ensure appropriate use, training standards, attainment of competency and quality assurance. Standards in training must be developed to support quality outcomes and user competency. The IFEM and the ASE agree that a mixture of didactic and hands-on training is optimal.7, 13 These courses must equip HCP's with manipulative imaging skills, be accessible, and be able to provide a solid foundation for critical thinking. Furthermore, it is recommended that curriculum design be made in consultation with educators/curriculum design specialists in sonography. Didactic modules should include: The use of POC-US is operator dependent, and the risk of misdiagnosis is high when used improperly or by inexperienced practitioners.15 Guidelines and institutional protocols should be established to ensure proper implementation of the technology into clinical practice. This tool should be limited to only the practitioners who have the knowledge, skills and judgement to utilize POC-US in a haemophilia setting.9 Although HCPs can receive proper training in POC-US to become competent in the technology's use, and while institutions may develop protocols that limit its improper use, POC-US users must still maintain their competence over time. Maintenance of competence can be achieved through participation in peer review, community of practice and/or continuing education programmes. The equipment used for POC-US should be appropriate and regularly maintained. The utilization of point of care ultrasound as an adjunct to the physical examination has the potential to improve health outcomes in patients with haemophilia. However, in order to preserve the quality of patient care, it is necessary to acknowledge the importance of appropriate use of the technology, the need for formal training and competency attainment, quality assurance, infrastructure and maintenance of competence. While these guidelines were created in the context of a Canadian model of care, the concepts can be applied globally and should be adapted to local regulations and scope of practice. As is the case with all areas of healthcare practice, having the knowledge, skills and judgment to perform a task is critical. As such, point of care ultrasound should be respected for the complexity of the technology and the skill required to interpret it. Wendy Lawson, Michael Uy and Karen Strike drafted the article. Dr. Anthony Chan, Dr. Alfonso Iorio, Dr. Nina Stein and Dean Lori Koziol all provided mentorship, editorial review and article input during the creation of these foundational guidelines. The authors of this article would like to acknowledge Pfizer Canada for the support received for the development and completion of this project. Wendy Lawson has acted as a paid consultant to Pfizer Canada and has received funding for research carried out in this work. Wendy has also received speaker fees from Pfizer Canada, Pfizer Global and Bayer Pharmaceuticals. Karen Strike received research support from Hamilton Health Sciences Health Professional Clinical Research Award, Health Professional Investigator Award, McMaster Children's Hospital Foundation, Pfizer Canada and Bayer. Karen has also received travel support from Pfizer, Bayer, Novo Nordisk and consultation fees from Pfizer, Biogen, Novo Nordisk, Baxalta, Octapharma. Dr. Chan has received research support from Pfizer. Funding was received from Pfizer Canada for the work presented above. Dr. Chan holds the McMaster Children's Hospital/Hamilton Health Sciences Foundation Pediatric Thrombosis and Hemostasis Endowed Chair. Dr. Iorio has research funding through McMaster University from Baxter, Bayer, Biogen, Idec, Novo Nordisk and Pfizer. No funds were received for the work above. Michael Uy, Dean Koziol and Dr. Stein have no disclosures or conflicts of interest for the above work.

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)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,066
Score d'incertitude au seuil0,700

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,109
Tête enseignante GPT0,489
Écart entre enseignants0,381 · 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.

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

Citations17
Publié2017
Routes d'admission3
Résumé présentoui

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