Evidence map›Paper›PMID 42023396›Full record

ArticleResearch and practice in thrombosis and haemostasis2026

Health care resource utilization and costs of major bleeding in patients with and without dialysis-dependent end-stage kidney disease: a retrospective study.

Nicholas S Roetker, Alejandro Victores, Chuanyu Kou, Lori D Bash, Dena Rosen Ramey, Xuehua Ke, Marc P Bonaca, James B Wetmore

Abstract readComparative Study
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nicholas S RoetkerChronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA.
Alejandro VictoresMerck & Co, Inc, Rahway, New Jersey, USA.
Chuanyu KouChronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA.
Lori D BashMerck & Co, Inc, Rahway, New Jersey, USA.
Dena Rosen RameyMerck & Co, Inc, Rahway, New Jersey, USA.
Xuehua KeMerck & Co, Inc, Rahway, New Jersey, USA.
Marc P BonacaColorado Prevention Center Clinical Research, University of Colorado School of Medicine, Aurora, Colorado, USA.
James B WetmoreChronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Major bleeding is common in dialysis-dependent end-stage kidney disease (ESKD). Objectives: To compare healthcare resource utilization (HCRU) and costs of major bleeding events between dialysis and non-dialysis populations. Methods: We identified fee-for-service Medicare beneficiaries aged ≥66 years with a first (index) major bleeding event in 2015-2018. Patients with ESKD receiving in-center hemodialysis (HD) and home dialysis from the US Renal Data System were each compared to patients without ESKD from a 20% Medicare sample. HCRU and cost outcomes were compared using model-based standardization, adjusted for age, sex, and race, during the index major bleeding event and a 1-year follow-up period. Results: Patients receiving in-center HD had index major bleeding hospitalizations that were longer and costlier (adjusted mean differences: 0.7 days [95% CI, 0.6-0.8] and $3.4K [95% CI, $3.2K-$3.7K]) than those without ESKD. During 1-year follow-up, bleeding-related hospitalizations were more common (adjusted rate difference: 37.6 per 100 person-years [95% CI, 35.2-40.1]) and costly (adjusted per-person per-year cost difference: $6.2K [95% CI, $5.8K-$6.7K]) in patients receiving in-center HD than in those without ESKD. Other than blood transfusions, which were more common in home dialysis than in-center HD (adjusted rates per 100 person-years: 255.8 [95% CI, 241.8-269.8] vs 202.1 [95% CI, 199.2-205.0]), HCRU outcomes were generally similar between the dialysis groups. Conclusion: Patients receiving dialysis had longer and costlier major bleeding hospitalizations and accrued substantially higher costs after 1 year versus those without ESKD. Readmissions were a key driver of higher HCRU and costs in ESKD.

Indexed as

Health Care CostsHealth ResourcesHemorrhageKidney Failure, ChronicPatient Acceptance of Health CareRenal DialysisAgedAged, 80 and overFemaleHemodialysis, HomeHospitalizationHumansMaleMedicareRetrospective StudiesUnited Statescohort studieshealth care costshealth resourceshemorrhagerenal dialysis

Identifiers

PMID42023396
PMCPMC13098619

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.