#5810 SELECTED CARDIOVASCULAR (CV)/NON-CV EVENT RATES IN NON-DIALYSIS-DEPENDENT PATIENTS TREATED WITH ESAS IN US MEDICARE (2017–2019), BY CKD STAGE
Notice bibliographique
Résumé
Abstract Background and Aims The safety and efficacy of daprodustat in non-dialysis-dependent chronic kidney disease (CKD) patients have been reported in the ASCEND-ND trial [1]. However, CKD stage may affect both the need for anemia treatment as well as outcomes, including potential safety events for anemia treatment. This study describes cardiovascular (CV) and non-CV event rates by CKD stage among patients treated with erythropoietin-stimulating agents (ESAs) in the US Medicare population. Method Using Medicare data for all fee-for-service enrollees, we conducted a retrospective cohort study of patients who had diagnosis of CKD stages 3, 4, or 5 and a first use of ESA in 2017–2019. CKD stage was identified by ICD-10 codes; ESA use was derived using Healthcare Common Procedure Coding System (HCPCS) codes. The date of first ESA use was the index date and CKD stage was defined as the most recent diagnosis on or before index date. We further required patients to have at least 12 continuous months of Medicare Parts A and B coverage (also used as a washout period to identify new ESA users) prior to, and be aged ≥66 years on, the index date. Patients with a history of kidney transplant or who had cancer during the year prior, and those who had a hospitalization for heart failure (HF), myocardial infarction (MI), or stroke in the 4 weeks before, the index date were excluded. Patients were followed from index date to the earliest date of death, loss of Medicare coverage, kidney transplantation or dialysis, or December 31, 2019. Both CV (all-cause death, HF, MI, stroke, thromboembolic events [TEEs], MACE [death, stroke, MI], and MACE+HF) and non-CV (cancer, gastric erosions, ocular events, seizures, and serious infections) events were ascertained, derived from Medical claims using ICD-10 diagnosis, HCPCS, and Current Procedural Terminology codes in the follow-up period. HF, MI, stroke, and serious infection were defined as inpatient events. First event rates were calculated separately by CKD stage, expressed as number of events per 100 patient-years during the follow-up period. Results This study cohort included 50,206 patients; 22,332 had stage 3, 19,177 stage 4, and 8,697 stage 5 CKD at the index date. Median follow-up time was 11.5 months for patients with CKD stage 3, 8.9 months for patients with stage 4, and 3.7 months for patients with stage 5 CKD. Patients with higher (worse) CKD stages were slightly younger (mean ages for stages 3, 4, and 5 were 79.7, 79.1, and 76.8 years); with increasingly more males (42.9%, 45.1%, and 48.5%), increasingly more individuals of non-Hispanic Black race (14.2%, 15.7%, and 19.6%), with lower income (indicated by Medicare/Medicaid dual enrolment and Medicare Part D low-income subsidy), and lower proportion of comorbidities. Rates were higher for most CV events in patients with higher (worse) CKD stages (Table): death rates were 19.5, 22.1, and 28.1 per 100 patient-years for stages 3, 4, and 5, respectively; MI rates were 2.2, 2.9, and 3.2; HF rates were 12.5, 17.2, and 19.0; MACE rates were 22.0, 25.4, and 31.8; and MACE+HF rates were 31.0, 38.7 and 47.8, respectively. Rates of stroke were similar across CKD stages; but no pattern for TEE. For non-CV events, higher (worse) CKD stage had higher rates of first ocular events (17.2, 23.3, and 27.1) and seizures (2.3, 2.7, and 3.4), but lower rates of cancer (21.8, 14.2, and 10.2) and, within this, hematological malignancies (10.4, 4.11 and 2.3). Conclusion Medicare-covered ESA-treated patients with higher CKD stage had higher rates for most events assessed, while malignancy rates were lower. These findings may provide important context when assessing US event rates in non-dialysis-dependent CKD patients. Further investigation could clarify some of the differences between stages, such as rates of malignancy. Rates were reported as crude (unadjusted) and so should be interpreted with caution. Limiting the analysis to ESA-treated patients may have resulted in different event rates than would be expected to occur in the general CKD population. Funding: GSK (study 217316).
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 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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».