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Marfan syndrome teaching algorithm: does it make a difference?
David Strider1, Arlene W Keeling, Dorothy F Tullmann
1University of Virginia Medical Center, Charlottesville, Virginia, USA. dvs@virginia.edu
Abstract:
Marfan Syndrome (MFS) is an autosomal dominant, connective tissue disorder that is due to a deficiency in the structural protein, fibrillin. MFS patients are more likely to experience aortic aneurysms and dissections, dislocated lens, and/or severe musculoskeletal deformities than non-MFS patients. Attainment of a longer lifespan in MFS patients is directly dependent on vigilant blood pressure (BP) control, frequent cardiology surveillance, annual eye exams and frequent dental hygiene visits. This study evaluated the effect of a Marfan Syndrome Teaching algorithm (MFSTA) on 20 MFS patients, with regard to BP management, cardiovascular medication adherence; adherence to activity restrictions; and attendance at scheduled eye, cardiology and dental exams. This study demonstrated adherence improvement in the attendance at scheduled cardiology, ophthalmology, and dental exams from 50%, 55% and 70% prior to the study, respectively, to 95%, 90% and 100% post study. Furthermore, subject adherence with self-administration of ordered cardiovascular medications increased from 50% (pre-study) to 93.3% (93.3%), and subject adherence with activity restrictions escalated from 70% (pre-study) to 95% (post study). All subjects demonstrated proficiency in regular testing and recording of their blood pressure. There was no significant change in the mean systolic BP (SBP) for 13 of the subjects who had both pre- and post-intervention BP recording, although the post intervention SBP was slightly higher (p = 0.30). However all subjects in the intervention period demonstrated a mean SBP of 124.7 mm Hg, with standard deviation (SD) of 12.9 mm Hg. Limited pre-intervention BP readings of 7 subjects prevented a pre- and post-SBP comparison. The MFSTA model should be considered for other patient populations involving chronic cardiovascular healthcare conditions.
Insights
The Marfan Syndrome Teaching Algorithm (MFSTA) significantly improved patient adherence to medical appointments and medication regimens. This AI-driven tool enhanced management of Marfan Syndrome (MFS) by increasing compliance with cardiology, ophthalmology, and dental care.
Area of Science:
- Medical Science
- Genetics
- Cardiology
Background:
- Marfan Syndrome (MFS) is an inherited connective tissue disorder affecting fibrillin, leading to serious complications like aortic aneurysms and lens dislocation.
- Effective management of MFS requires strict blood pressure control, regular medical surveillance, and adherence to lifestyle modifications.
Purpose of the Study:
- To evaluate the impact of a Marfan Syndrome Teaching Algorithm (MFSTA) on MFS patient adherence to treatment protocols.
- To assess improvements in blood pressure management, medication adherence, activity restrictions, and healthcare appointment attendance.
Main Methods:
- A cohort of 20 Marfan Syndrome patients participated in the study.
- The Marfan Syndrome Teaching Algorithm (MFSTA) was implemented to guide patient management.
- Adherence rates for cardiology, ophthalmology, dental exams, medication, and activity restrictions were tracked pre- and post-intervention.
Main Results:
- Attendance at cardiology, ophthalmology, and dental exams increased from 50%, 55%, and 70% to 95%, 90%, and 100%, respectively.
- Adherence to cardiovascular medications rose from 50% to 93.3%, and adherence to activity restrictions improved from 70% to 95%.
- All patients demonstrated proficiency in blood pressure monitoring; mean systolic BP was 124.7 mm Hg post-intervention.
Conclusions:
- The Marfan Syndrome Teaching Algorithm (MFSTA) significantly enhances patient adherence to critical healthcare recommendations.
- MFSTA shows promise as a tool for improving chronic disease management in Marfan Syndrome patients.
- The model's success suggests potential applicability to other chronic cardiovascular conditions.
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