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Published on: November 10, 2017
Novel Therapies, Residual Risk, Familial Hypercholesterolemia, and Digital Tools: Multispecialty Insights from a
António Mesquita-Lousada1, Antónia Rocha-Melo-Sousa1,2, Carolina Teixeira3
1Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal.
Insights
Physician familiarity with novel lipid therapies and familial hypercholesterolemia (FH) detection is limited, with cost being a major barrier. Digital tools show promise for improving cardiovascular risk management and adherence to guidelines.
Area of Science:
- Cardiology
- Endocrinology
- Preventive Medicine
Background:
- Contemporary guidelines emphasize intensive low-density lipoprotein cholesterol (LDL-C) lowering and advanced lipid biomarkers.
- Gaps persist in clinician knowledge and implementation of these strategies for cardiovascular risk stratification.
- Novel therapies and diagnostic tools require evaluation for clinical practice integration.
Purpose of the Study:
- To assess clinician familiarity with novel lipid-lowering therapies (PCSK9 inhibitors, inclisiran, bempedoic acid).
- To evaluate approaches to residual cardiovascular risk management and confidence in identifying familial hypercholesterolemia (FH).
- To determine the perceived usefulness of digital decision-support tools in dyslipidemia care.
Main Methods:
- A cross-sectional online survey of 95 physicians involved in dyslipidemia care was conducted in October 2025.
- The survey assessed familiarity, access barriers, and confidence regarding novel therapies, FH detection, residual risk assessment, and digital tools.
- Descriptive statistics and chi-square tests were used for data analysis.
Main Results:
- Only 20.0% of clinicians were familiar with all three novel lipid-lowering therapies; 49.5% faced access barriers (cost, reimbursement).
- Confidence in managing complex dyslipidemia was moderate; 31.6% did not routinely assess residual risk post-LDL-C target.
- Most respondents favored digital decision-support tools and automated risk alerts for improving care.
Conclusions:
- Significant implementation gaps exist in current dyslipidemia management, particularly concerning novel therapies and residual risk assessment.
- Clinician confidence in recognizing familial hypercholesterolemia (FH) and expectations for lipoprotein(a) [Lp(a)] testing vary by specialty.
- There is strong receptiveness to digital decision-support tools, presenting an opportunity to enhance evidence-based cardiovascular care.
Abstract:
Introduction/Objectives: Although contemporary cardiovascular guidelines endorse intensive low-density lipoprotein cholesterol (LDL-C) lowering and advanced lipid biomarkers for refined risk stratification, important gaps in knowledge and implementation persist. This study evaluated clinician familiarity with novel lipid-lowering therapies, approaches to residual cardiovascular risk, confidence in identifying familial hypercholesterolemia (FH), and perceived usefulness of digital decision-support tools. Methods: A multispecialty, cross-sectional online survey (October 2025) of physicians involved in dyslipidemia care was conducted. The questionnaire assessed familiarity, accessibility, and barriers regarding proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, inclisiran, and bempedoic acid; confidence and practice in managing complex populations and residual risk; confidence in detecting FH and expectations for lipoprotein(a) [Lp(a)]; and perceived value of digital decision-support and automated risk alerts. Descriptive statistics and chi-square tests were performed. Results: Ninety-five clinicians completed the survey, with the largest group (41.1%) being general practitioners. Of them, 20.0% reported familiarity with all three novel therapies, and 49.5% reported restricted access due to cost and reimbursement constraints. Overall confidence in managing dyslipidemia in complex populations was moderate. Of note, 31.6% did not routinely assess residual risk after achieving LDL-C targets. Among those who did, imaging-based evaluation of subclinical atherosclerosis was the most frequently selected approach, followed by Lp(a) and triglycerides, hs-CRP, and apoB. Confidence in recognizing FH was modest, and expectations regarding future Lp(a) testing differed across specialties. Most respondents endorsed integrated decision-support tools and automated risk-alert prompts. Conclusions: Implementation gaps persist in dyslipidemia care, while strong receptiveness to digital decision-support highlights an opportunity to align practice more closely with evidence-based recommendations.
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