P1542: COMORBIDITIES AND COMPLICATIONS ACROSS GENOTYPES IN ADULT PATIENTS WITH PYRUVATE KINASE DEFICIENCY: ANALYSIS FROM THE PEAK REGISTRY
Notice bibliographique
Résumé
Background: Pyruvate kinase (PK) deficiency is a rare, congenital, glycolytic enzymopathy caused by mutations in the PKLR gene, which leads to lifelong hemolytic anemia and may result in complications such as iron overload, pulmonary hypertension, and gallstones. PK deficiency has wide genetic heterogeneity, with >300 mutations reported, and previous data suggest that disease complications may be common regardless of genotype. Aims: To further characterize comorbidities/complications across genotypes in adult patients (pts) with PK deficiency enrolled in the Peak Registry (NCT03481738). Methods: The Peak Registry is a global retrospective and prospective observational study of adult and pediatric pts diagnosed with PK deficiency. For this analysis, adults (≥18 years [yrs]) with classifiable PKLR genotype data were grouped into 3 cohorts: missense/missense (M/M); missense/non-missense (M/NM); non-missense/non-missense (NM/NM). NM mutations include nonsense, frameshift, in-frame small indels, large deletions, and splicing variants (including R479H). Genotype classifications are aligned with those previously reported from the PK deficiency Natural History Study. Data on demographics, laboratory values, and medical history inclusive of comorbidities and complications were summarized descriptively. Results: As of 29Jun2021, 90 of 103 adult pts in the registry had classifiable PKLR genotype data; 57 (63.3%) were classified as M/M, 28 (31.1%) as M/NM, and 5 (5.6%) as NM/NM. Median age (range) of PK deficiency diagnosis was 21.0 yrs (0–68) for M/M pts, 12.0 yrs (0–40) for M/NM pts, and 0.0 yrs (0–0) for NM/NM pts (Table). Among the 87 pts with known transfusion status, 36.8% had never been transfused (M/M: 44.4%; M/NM: 28.6%; NM/NM: 0%). Splenectomy had been performed in almost half of M/M pts (47.3%), the majority of M/NM pts (60.7%), and all NM/NM pts (100%). At registry enrollment, median hemoglobin (range) in the M/M, M/NM, and NM/NM cohorts was 9.9 g/dL (7.1–14.2), 9.1 g/dL (6.7–14.1), and 7.3 g/dL (6.9–8.1), respectively. History of iron overload was observed in substantial numbers of pts, regardless of genotype; 40.0% in M/M pts, 46.4% in M/NM pts, and 60.0% in NM/NM pts. Of these pts, 25.0% of M/M pts and 12.5% of M/NM pts had a history of iron overload despite never having been transfused. Jaundice was common for pts across genotypes (M/M: 32.7%; M/NM: 44.4%; NM/NM: 25.0%). Other comorbidities/complications included biliary events (M/M: 30.4%; M/NM: 33.3%; NM/NM: 0%) and bone health problems (M/M: 23.2%; M/NM: 22.2%; NM/NM: 0%). Of 7 pts who experienced 13 thromboembolic events, timing of the events relative to splenectomy was known for 6 pts, and in all 6 pts, the thromboembolic events occurred after splenectomy. Overall, 41.1% of pts experienced ≥2 distinct comorbidities/complications, as defined in the Table (M/M: 38.6%; M/NM 50.0%; NM/NM 20.0%). Image:Summary/Conclusion: This analysis reveals that pts across all PKLR genotypes experienced a wide range of serious comorbidities/complications across multiple systems. In addition to the breadth of comorbidities presented, these data highlight the existence of multiple complications in individual pts with PK deficiency and the need for appropriate monitoring and management of these pts, regardless of genotype.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».