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Record W4380626574 · doi:10.1093/ndt/gfad063c_5810

#5810 SELECTED CARDIOVASCULAR (CV)/NON-CV EVENT RATES IN NON-DIALYSIS-DEPENDENT PATIENTS TREATED WITH ESAS IN US MEDICARE (2017–2019), BY CKD STAGE

2023· article· en· W4380626574 on OpenAlexaff
James B. Wetmore, Julie Rouette, Haifeng Guo, Gema Requena, Suying Li, George Mu, Liyuan Ma, Jolyon Fairburn-Beech, Anna Richards, David T. Gilbertson, Sally Wetten, Jiannong Liu

Bibliographic record

VenueNephrology Dialysis Transplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicErythropoietin and Anemia Treatment
Canadian institutionsGlaxoSmithKline (Canada)
Fundersnot available
KeywordsMedicineKidney diseaseDialysisPopulationInternal medicineMyocardial infarctionAnemiaRetrospective cohort studyStroke (engine)Intensive care medicineEmergency medicine

Abstract

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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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.240
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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