Evidence map›Paper›PMID 42110586›Full record

ArticleClinicoEconomics and outcomes research : CEOR2026

Economic Burden of Overall and Advanced Light Chain Amyloidosis: Results from a Claims Linked Electronic Health Record Database Analysis.

Jeffrey A Thompson, Ankita Gupta, Julia Catini, Pedro A Laires

Abstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jeffrey A ThompsonGlobal Health Outcomes and Economics Research, Alexion, AstraZeneca Rare Disease, Boston, MA, USA.
Ankita GuptaOptum, New Delhi, India.
Julia CatiniGlobal Medical Affairs, Alexion, AstraZeneca Rare Disease, Wilmington, DE, USA.
Pedro A LairesEpidemiology and Real World Science, Alexion, AstraZeneca Rare Disease, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Real-world data on healthcare resource utilization (HCRU) and costs in light chain amyloidosis (AL) by disease severity are limited. This study evaluates HCRU and costs among patients with AL, particularly those with advanced stages. Methods: A retrospective analysis of deidentified patient records (January 2016 to March 2022) from Optum's clinical electronic health record (EHR) database was conducted. Adult patients with ≥2 AL diagnoses or positive mentions of the disease in the physician's notes (≥30 days apart) were included. Patients with a Mayo disease stage, including those with advanced disease (stages IIIa/IIIb), based on cardiac biomarkers (N-terminal pro-brain natriuretic peptide and troponin T), were identified most proximal to the index date (first-identified AL diagnosis date). Patient records were then linked to payer-agnostic claims. Data, including HCRU and costs, were assessed from the index date until the end of continuous enrollment or death (minimum 30-day follow-up) during the 12-month postindex period. Results: Among the 85 patients (75% aged ≥60 years; 65% males) included in the study, 60% had at least one condition-related inpatient hospitalization (66.7% with advanced cardiac involvement), 92.9% had an outpatient visit (54.4% with advanced cardiac involvement), 74.1% had an office visit (53.9% with advanced cardiac involvement), and 22.4% had an emergency room visit (68.4% with advanced cardiac involvement) within 12 months after diagnosis. The median (range) per-patient per-month (PPPM) condition-related total, medical, and drug costs for patients with advanced cardiac involvement (n = 47) were $7532 ($3336-$15,097), $2107 ($1079-$4618), and $4613 ($1664-$9488), respectively. The median (range) PPPM condition-related inpatient hospitalization costs for patients with advanced cardiac involvement (n = 34) was $462 ($77-$1839). Conclusion: This EHR-claims linked database study showed that patients with advanced disease face high economic burden, supporting the continued need for therapeutic advances to help manage this population.

Indexed as

economic burdenhealthcare resource utilizationlight chain amyloidosisMayo stage IIIaMayo stage IIIb

Identifiers

PMID42110586
PMCPMC13150554

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Registered trials

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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.