Evidence map›Paper›PMID 39157208›Full record

ArticleGlobal heart2024

Lipid Control and Medical Costs Among Patients With and Without Established Atherosclerotic Cardiovascular Disease Followed in a Brazilian Private Healthcare System.

Pedro Gabriel Melo de Barros E Silva, Henry Szneider, Diego Ribeiro Garcia, Valter Furlan, Renato Delascio Lopes

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In one paragraph

Article in Global heart, 2024. 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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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

5 authors.

Pedro Gabriel Melo de Barros E SilvaUnited Health Group Brazil, São Paulo, Brazil.ORCID 0000-0001-6186-3537
Henry SzneiderUnited Health Group Brazil, São Paulo, Brazil.ORCID 0000-0001-5708-2308
Diego Ribeiro GarciaUnited Health Group Brazil, São Paulo, Brazil.ORCID 0009-0007-2493-515X
Valter FurlanUnited Health Group Brazil, São Paulo, Brazil.ORCID 0000-0001-5438-4562
Renato Delascio LopesCentro Universitário São Camilo, São Paulo, Brazil.ORCID 0000-0003-2999-4961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is limited real-world data of lipid control and healthcare costs among patients with and without Atherosclerotic Cardiovascular Disease (ASCVD) in Latin America. Methods: A retrospective cohort study including patients with LDL-cholesterol (LDL-C) assessment from 2015 to 2017 was performed in a health insurance database. Patient characteristics, comorbidities and laboratory data were collected, and International Classification of Diseases (ICD) codes were used to identify a subcohort of patients with ASCVD (secondary prevention) and assess the proportion of these patients with LDL-C controlled. Lipid control among patients without ASCVD (primary prevention) and healthcare costs in one year in the overall population were also assessed. Results: From the 17,434 patients selected, 5,208 (29.8%) had ASCVD. The mean age of these patients in secondary prevention was 68.9 (±12.3) years and 47.8% were male patients. LDL-C < 70 mg/dL was identified in 19.1% of the ASCVD population and only 4.1% had an LDL-C < 50 mg/dL. LDL control was worse in women compared to men (13.1% vs. 25.7%; P < 0.01). The average cost in one year was 3,591 American dollars (USD) per patient in primary prevention compared to 8,210 dollars per year for patients in secondary prevention (P < 0.01). While outpatient costs accounted for 59.8% of the total cost in the primary prevention group, the main cost of the secondary prevention population was related to hospital costs (54.1%). Conclusion: Despite the favorable evidence for intensive cholesterol reduction, the evaluation of large real-world database with more than 17,000 individuals showed that the targets of guideline recommendations have not yet been adequately incorporated into clinical practice. Average annual cost per patient in secondary prevention is more than twice compared to primary prevention. Hospital expenses account for most of the cost in the secondary prevention group, while outpatient costs predominate in primary prevention.

Indexed as

AtherosclerosisHealth Care CostsAgedBrazilCholesterol, LDLFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesSecondary PreventionCholesterol, LDLCardiovascular DiseasesGuideline AdherenceRegistries

Identifiers

PMID39157208
PMCPMC11328683

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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.