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1000 Titel
  • Retrospective real-world analysis of adherence and persistence to lipid-lowering therapy in Germany
1000 Autor/in
  1. Koenig, Wolfgang |
  2. Lorenz, Elke S. |
  3. Beier, Lea |
  4. Gouni-Berthold, Ioanna |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-08-21
1000 Erschienen in
1000 Quellenangabe
  • 113(6):812-821
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00392-023-02257-6 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11108924/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Cardiovascular disease is the leading cause of mortality in Germany. Cardiovascular risk can be mitigated with long-term lipid-lowering therapies (LLTs) that reduce levels of low-density lipoprotein cholesterol. Although effective, risk mitigation is hindered by poor persistence and adherence.</jats:p> </jats:sec><jats:sec> <jats:title>Objective</jats:title> <jats:p>To investigate real-world persistence and adherence to LLTs through 36 months post-initiation.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>This retrospective cohort study included patients with dyslipidemia who were newly prescribed LLTs between July and December 2017, using anonymized prescription data from the Insight Health™ Patient Insight Tool, and followed up until March 2021. Persistence and adherence to the therapies were stratified by age and sex. The proportion of days covered (PDC) was used to measure adherence.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Patients with dyslipidemia and newly prescribed statins (<jats:italic>n</jats:italic> = 865,732), ezetimibe (<jats:italic>n</jats:italic> = 34,490), or anti-proprotein convertase subtilisin/kexin type 9 monoclonal antibodies (anti-PCSK9 mAbs; <jats:italic>n</jats:italic> = 1940) were included. Persistence to LLTs declined gradually across all treatment subgroups and was lower in women than men. Adherence, calculated as the mean PDC at the end of the analysis period (July 2017‒March 2021) was 0.84, 0.92, and 0.93 for statins, ezetimibe, and anti-PCSK9 mAbs, respectively. Among patients who discontinued treatment, mean treatment duration was 265, 255, and 387 days for statins, ezetimibe, and anti-PCSK9 mAbs, respectively. Only ~ 10% of patients persisted between 201 and 300 days. By Day 300, 71% of patients on statins had discontinued treatment. At 36 months, overall persistence rates were lowest with statins (20.6%), followed by ezetimibe (22.3%) and anti-PCSK9 mAbs (50.9%).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>High non-persistence rates were observed across all LLT regimens analyzed, with the lowest persistence rates observed with statins.</jats:p> </jats:sec><jats:sec> <jats:title>Graphical Abstract</jats:title> </jats:sec>
1000 Sacherschließung
lokal Cardiovascular Diseases/drug therapy [MeSH]
lokal Medication Adherence/statistics
lokal PCSK9 Inhibitors [MeSH]
lokal Aged [MeSH]
lokal Germany
lokal Germany/epidemiology [MeSH]
lokal Dyslipidemias/blood [MeSH]
lokal Persistence
lokal Male [MeSH]
lokal Female [MeSH]
lokal Ezetimibe/therapeutic use [MeSH]
lokal Follow-Up Studies [MeSH]
lokal Humans [MeSH]
lokal Cardiovascular Diseases/epidemiology [MeSH]
lokal Retrospective Studies [MeSH]
lokal Lipid-lowering therapy
lokal Middle Aged [MeSH]
lokal Statins
lokal Time Factors [MeSH]
lokal Dyslipidemias/epidemiology [MeSH]
lokal Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use [MeSH]
lokal Adherence
lokal Anti-PCSK9 antibody
lokal Original Paper
lokal Cholesterol, LDL/blood [MeSH]
lokal Dyslipidemias/drug therapy [MeSH]
lokal Ezetimibe
lokal Anticholesteremic Agents/therapeutic use [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-2064-9603|https://frl.publisso.de/adhoc/uri/TG9yZW56LCBFbGtlIFMu|https://frl.publisso.de/adhoc/uri/QmVpZXIsIExlYQ==|https://frl.publisso.de/adhoc/uri/R291bmktQmVydGhvbGQsIElvYW5uYQ==
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  • DeepGreen-ID: 635897a2d144467480c003b0e4e5c123 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Novartis |
  2. Technische Universität München |
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    1000 Förderer Technische Universität München |
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    1000 Fördernummer -
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1000 Erstellt am 2025-07-05T13:17:05.159+0200
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