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Enregistrement W4405038158 · doi:10.1182/blood-2024-200739

Clinical Monitoring Practices Among Adult Patients with Pyruvate Kinase Deficiency Who Have Never Been Transfused

2024· article· en· W4405038158 sur OpenAlexaff
Stefan Eber, Andreas Glenthøj, Bertil Glader, Dagmar Pospı́šilová, Eduard J. van Beers, Rachael F. Grace, Joan‐Lluís Vives Corrons, Hitoshi Kanno, Kevin H.M. Kuo, Paola Bianchi, Audra Boscoe, Bryan McGee, Yan Yan, Junlong Li, Janet H. Ford, Carl Lander

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueErythrocyte Function and Pathophysiology
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicinePyruvate kinase deficiencyPediatricsAnemiaObservational studyInternal medicinePyruvate kinase

Résumé

récupéré en direct d'OpenAlex

Introduction: Pyruvate kinase (PK) deficiency is a rare, congenital, hemolytic anemia caused by mutations in the PKLR gene. Patients, including those never managed with blood transfusions, experience iron overload and other disease-related complications. In 2024, the first international expert guidelines for PK deficiency were published and included monitoring recommendations for patients never transfused (NT). Aim: Todescribe the reasons provided by clinicians for not transfusing patients with PK deficiency who were NT and the disease monitoring activities in these patients, using data from two real-world studies: Peak Registry (NCT03481738) and PK deficiency Natural History Study (NHS; NCT02053480). Methods: Both NHS and Peak were designed as global, longitudinal, observational studies enrolling patients with PK deficiency (NHS 2014-2017, Peak 2018-ongoing [data cut-off date: 15May2023]). This descriptive analysis used merged data from both studies and included patients aged ≥18 years, with a confirmed diagnosis of PK deficiency who were NT (defined as no lifetime history of blood transfusions before/during study follow-up). A subgroup analysis of patients with ≥12 months of retrospective data was performed to ensure adequate time for monitoring to occur. Results were evaluated relative to pertinent recommendations from the PK deficiency international expert guidelines. Results: A total of 55 adult NT patients were included in the analysis. Median age (min-max) at the last visit was 39 years (18-81), 43.6% were female, 86.0% were White, 10.2% were Hispanic/Latino. Most patients resided in Southern Europe (43.6%), followed by North America (18.2%), Northern Europe (18.2%), Asia (12.7%), and Central Europe (7.3%). Overall, 18.9% (10/53; 2 unknown) had previously undergone splenectomy. PKLR genotype distribution was 62.3% missense/missense, 34.0% missense/non-missense, and 3.8% non-missense/non-missense. Median (min-max) lab results at patients' last visit included hemoglobin 11.4 g/dL (6.8-18.3), reticulocytes 6.6% (2.6-63.0), and ferritin 312.0 ng/mL (16.6-6208.0). The most common reason for not being transfused was “anemia not very severe” (71.1%), followed by “anemia not symptomatic” (20.0%), “iron-overload risks” (11.1%), “patient objection” (4.4%), “immune-associated risks” (2.2%), and “injection-related risks” (2.2%); rationale was only captured in Peak (n=45) and multiple response options were allowed. Among the 42 NT patients with ≥12 months of retrospective data, clinical monitoring received during registry participation (and recent pre-baseline history) included lab assessments for hemoglobin (97.6%), reticulocytes (85.7%), and ferritin (95.2%). Bone health was monitored via 25-hydroxyvitamin D (23.8%, 10/42) and Dexa scan (12.9%, 4/31). Cardiovascular monitoring occurred in 37.5% and 19.4% of NHS and Peak participants, respectively. MRI for iron assessment (liver and/or cardiac) was performed for 20.8% of NHS patients and 25.0% of Peak patients. Among 5 patients with ongoing chelation therapy, all had registry documentation of ferritin monitoring, and none had a liver iron concentration evaluation via MRI. Complications among the 42 NT patients with ≥12 months of retrospective data included iron overload (40.0%), osteoporosis (12.1%), extramedullary hematopoiesis (8.6%), left ventricular hypertrophy (7.4%), diabetes (5.7%), thromboembolic events (4.3%), hepatic cirrhosis (2.8%), and arrhythmia (2.7%). These complications, except for hepatic cirrhosis, were also observed in the subgroup reporting anemia not very severe and/or not symptomatic. Conclusion: Among NT patients with PK deficiency, observed medical monitoring practices fall short of evidence-based recommendations in recently published guidelines. NT patients are at risk for complications, such as iron overload and osteoporosis, that require routine monitoring. Even patients classified as “not being very severe” and/or “not symptomatic” experienced disease complications. These findings emphasize the need for evidence-based disease monitoring to be consistently implemented for all patients with PK deficiency, enabling early detection and management of complications. Guidelines recommend annual screening for iron overload irrespective of transfusion status, highlighting that chelation therapy can potentially avoid further complications.

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 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 enseignants0,006
Score d'incertitude au seuil0,491

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
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 Opus0,026
Tête enseignante GPT0,310
Écart entre enseignants0,284 · 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

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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