Dataset Information

Evolocumab effectiveness in the real-world setting: Austrian data from the pan-European observational HEYMANS study.

ABSTRACT:

Background

This real-world study examined clinical characteristics and dyslipidemia management among patients initiating evolocumab across 12 European countries. Austrian data are reported.

Methods

Data of consenting adults were collected for ≤ 6 months prior to evolocumab initiation (baseline) and ≤ 30 months post-initiation. Patient characteristics, lipid lowering therapy (LLT, i.e. statin and/or ezetimibe) and lipid values were collected from medical records.

Results

In Austria, 363 patients were enrolled. At baseline, 52% of patients initiated evolocumab without background LLT; the median (Q1, Q3) initial low-density lipoprotein cholesterol (LDL-C) level was 142 (111, 187) mg/dL. Within 3 months of evolocumab treatment, median LDL‑C decreased by 59% to 58 (37, 91) mg/dL. This reduction was maintained over time, despite consistently infrequent use of background LLT. LDL-C < 55 mg/dL was attained by 65% of patients (76% with, 55% without background LLT). Evolocumab persistence was ≥ 90% at month 12 and month 30.

Conclusion

In Austria, patients were initiated on evolocumab at LDL‑C levels almost 3‑times higher than the guideline-recommended clinical goal (< 55 mg/dL). Persistence with evolocumab was very high. Evolocumab led to a rapid and sustained LDL‑C reduction with 65% attaining the LDL‑C goal. Patients using evolocumab in combination with statins and/or ezetimibe were more likely to attain their LDL‑C goal and thus decrease cardiovascular risk.

SUBMITTER: Ebenbichler C

PROVIDER: S-EPMC10837260 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Evolocumab effectiveness in the real-world setting: Austrian data from the pan-European observational HEYMANS study.

Ebenbichler Christoph C Drexel Heinz H Hanusch Ursula U Toplak Hermann H Dhalwani Nafeesa N NN Bridges Ian I Hoelzl Robert R Hemetsberger Margit M Ray Kausik K KK

Wiener klinische Wochenschrift 20230731 3-4

<h4>Background</h4>This real-world study examined clinical characteristics and dyslipidemia management among patients initiating evolocumab across 12 European countries. Austrian data are reported.<h4>Methods</h4>Data of consenting adults were collected for ≤ 6 months prior to evolocumab initiation (baseline) and ≤ 30 months post-initiation. Patient characteristics, lipid lowering therapy (LLT, i.e. statin and/or ezetimibe) and lipid values were collected from medical records.<h4>Results</h4>In ...[more]

PMID: 37525072

Similar Datasets

Project description:IntroductionReal-world data are needed to understand the effectiveness of new therapeutic options for low-density lipoprotein cholesterol (LDL-C) reduction in Asia-Pacific clinical practice. Description of evolocumab use among adults with establisHed Atherosclerotic cardiovascuLar diseasE or hypercholesterolemia in ASia-Pacific region (HALES) was performed to better understand characteristics of and clinical decision-making for adults with established atherosclerotic cardiovascular disease/hypercholesterolemia after local evolocumab approval.MethodsThe HALES observational study, conducted at 33 sites (Hong Kong, Thailand, South Korea, Singapore, Taiwan, and Australia) comprised (1) chart review of patients who received evolocumab, a proprotein convertase subtilisin/kexin type 9 inhibitor (PCSK9i), and (2) physician/patient survey and one-time data collection of patients with high cardiovascular risk initiating evolocumab or initiating/continuing non-PCSK9i lipid-lowering therapy. Patients could only enroll in (1) or (2).ResultsChart review included 724 very high-risk patients initiating evolocumab from regulatory approval to 2021. From median baseline LDL-C of 3.2 mmol/L (123.7 mg/dL), patients had a median percent change in LDL-C of - 60.8% at 1-6 months. Goal achievement increased from 7.9% to 69.8% for < 1.8 mmol/L (< 70 mg/dL) and 4.4% to 57.8% for < 1.4 mmol/L (< 55 mg/dL) from baseline to 12 months. In the one-time data collection, more patients had ≥ 1.8 mmol/L (≥ 70 mg/dL) baseline LDL-C in the evolocumab vs non-PCSK9i group (95.2% and 48.5%, respectively). Surveys found that physicians applied guideline-recommended treatment targets, and patients demonstrated gaps in understanding cardiovascular risk.ConclusionReal-world, Asia-Pacific data showed that LDL-C reduction after initiating evolocumab was consistent with that observed in other clinical trials and patient populations. Graphical abstract available for this article.·.

Project description:IntroductionCausal inference helps researchers and policy-makers to evaluate public health interventions. When comparing interventions or public health programs by leveraging observational sensitive individual-level data from populations crossing jurisdictional borders, a federated approach (as opposed to a pooling data approach) can be used. Approaching causal inference by re-using routinely collected observational data across different regions in a federated manner, is challenging and guidance is currently lacking. With the aim of filling this gap and allowing a rapid response in the case of a next pandemic, a methodological framework to develop studies attempting causal inference using federated cross-national sensitive observational data, is described and showcased within the European BeYond-COVID project.MethodsA framework for approaching federated causal inference by re-using routinely collected observational data across different regions, based on principles of legal, organizational, semantic and technical interoperability, is proposed. The framework includes step-by-step guidance, from defining a research question, to establishing a causal model, identifying and specifying data requirements in a common data model, generating synthetic data, and developing an interoperable and reproducible analytical pipeline for distributed deployment. The conceptual and instrumental phase of the framework was demonstrated and an analytical pipeline implementing federated causal inference was prototyped using open-source software in preparation for the assessment of real-world effectiveness of SARS-CoV-2 primary vaccination in preventing infection in populations spanning different countries, integrating a data quality assessment, imputation of missing values, matching of exposed to unexposed individuals based on confounders identified in the causal model and a survival analysis within the matched population.ResultsThe conceptual and instrumental phase of the proposed methodological framework was successfully demonstrated within the BY-COVID project. Different Findable, Accessible, Interoperable and Reusable (FAIR) research objects were produced, such as a study protocol, a data management plan, a common data model, a synthetic dataset and an interoperable analytical pipeline.ConclusionsThe framework provides a systematic approach to address federated cross-national policy-relevant causal research questions based on sensitive population, health and care data in a privacy-preserving and interoperable way. The methodology and derived research objects can be re-used and contribute to pandemic preparedness.

Dataset Information

Evolocumab effectiveness in the real-world setting: Austrian data from the pan-European observational HEYMANS study.

Background

Methods

Results

Conclusion

Publications

Evolocumab effectiveness in the real-world setting: Austrian data from the pan-European observational HEYMANS study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets