Validation of Predictive Models for Response to Erythropoiesis-Stimulating Agents in Myelodysplastic Syndromes
Notice bibliographique
Résumé
Abstract Background: Erythropoiesis-stimulating agents (ESAs) increase hemoglobin, reduce transfusion requirements and improve quality of life in myelodysplastic syndromes (MDS), but many patients do not respond to treatment. Various scoring systems have been developed to predict which patients with MDS will respond to ESAs. The Nordic score derived by Hellstrom-Lindberg et al. stratifies patients based on the erythropoietin (EPO) level and transfusion frequency. Houston et al. have proposed another score which is based on EPO and the International Prognostic Scoring System (IPSS) risk group. The latter score has not yet been validated. We assessed the validity of these scoring systems in an independent cohort of patients with MDS. Patients and methods: We conducted a retrospective cohort study including all patients with confirmed MDS based on bone marrow biopsy, aspirate or cytogenetic findings who were treated with ESAs at our institution from 2005 to 2013 and who had available follow-up information. Both the International Working Group (IWG) 2006 criteria and the Nordic study response criteria were used to assess treatment response. Statistical significance of both scores was assessed using Pearson's chi-squared test. Analysis was repeated with the score by Houston et al. dichotomized to low (0 or 1) or high (2 or 3). Results: Of 180 patients diagnosed with MDS, 44 patients met our inclusion criteria. Forty patients were treated with epoetin alfa and 4 were treated with darbepoetin alfa. The mean age was 76.4 years and 61% were male. The mean pretreatment hemoglobin was 85.3 g/L. There was a significant difference in the treatment response between the Nordic score groups using the Nordic response criteria but the difference was insignificant using the IWG criteria (Table 1). We found no difference in treatment response between the scores by Houston et al. using either response criteria, however a low score (0 or 1) predicted a significantly better response than a high score (2 or 3). An EPO level less than 100 IU/L was a statistically significant predictor of treatment response but the IPSS designation was not. Conclusion: Our results have validated the Nordic score using the same response criteria as the original study, but our population size was not adequate to validate the Nordic score using IWG criteria. We have confirmed that patients with EPO levels below 100 IU/L respond to treatment significantly better than patients above 100 IU/L. Our data does not support the use of the IPSS risk group in predicting treatment response, but this result may be limited by the relatively small number of patients. Further studies exploring the predictive variables in MDS treatment with ESAs are warranted. Table 1. ESA Response in MDS Scoring Systems Score N Nordic criteriaa IWG criteriab ResponseN (%) p-valuec Response N (%) p-valuec Nordic Score Good (> +1) 19 10 (53) 0.033d 9 (47) 0.141 Int. (-1 to +1) 24 4 (17) 5 (21) Poor (< -1) 1 0 (0) 0 (0) Score by Houston et al. 0 8 3 (38) 0.347 3 (38) 0.080 1 15 7 (47) 8 (53) 2 4 1 (25) 0 (0) 3 17 3 (18) 3 (18) Dichotomized Score by Houston et al. Low (0 - 1) 23 10 (43) 0.082 11 (48) 0.017d High (2 - 3) 21 4 (19) 3 (14) EPO < 100 IU/L 23 - - 11 (48) 0.017d ≥ 100 IU/L 21 - 3 (14) IPSS Risk Group Low 12 - - 3 (25) 0.552 Int-1 or Int-2 32 - 11 (34) a Increase in hemoglobin to >115 g/L, increase in hemoglobin of >15 g/L, or 100% decrease in transfusion requirements b Increase in hemoglobin of ≥15 g/L, or ≥4 less transfusions (for hemoglobin ≤90 g/L) in 8 weeks compared to 8 weeks pretreatment c Group comparison using Pearson's chi-squared test d p < 0.05 Disclosures Lazo-Langner: Pfizer: Honoraria; Bayer: Honoraria.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».