Epidemiological Analysis of Cardiac Mortality Trends in Patients with Amyloidosis - Scorecard - MDSpire

Epidemiological Analysis of Cardiac Mortality Trends in Patients with Amyloidosis

  • By

  • Abdalhakim Shubietah

  • Diana Owda

  • Mohamed Saad Rakab

  • Yazan Dawoud

  • Ahmed Khraiwesh

  • Mohamed S. Elgendy

  • Mohammed Tareq Mutar

  • Ahmed Emara

  • Ali Saad Al-Shammari

  • Ameer Awashra

  • Mohammed AbuBaha

  • Zaina Nazzal

  • Bandar Alyami

  • Ramesh Daggubati

  • Yasar Sattar

  • December 30, 2025

  • 0 min

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Clinical Scorecard: Epidemiological Analysis of Cardiac Mortality Trends in Patients with Amyloidosis

At a Glance

CategoryDetail
ConditionCardiac Amyloidosis
Key MechanismsInvolves light-chain (AL) and transthyretin (ATTR) subtypes affecting cardiovascular health.
Target PopulationU.S. decedents aged ≥ 25 years with amyloidosis.
Care SettingNationwide observational study using CDC WONDER database.

Key Highlights

  • Significant contributor to cardiovascular morbidity and mortality.
  • Improved recognition with advanced imaging modalities.
  • Introduction of disease-modifying agents like tafamidis and daratumumab.
  • Utilization of age-adjusted mortality rates for valid comparisons.
  • Machine learning techniques forecast future mortality trends.

Guideline-Based Recommendations

Diagnosis

  • Utilize advanced imaging modalities such as technetium-labeled scintigraphy and cardiac MRI.

Management

  • Consider disease-modifying agents like tafamidis for ATTR-CM and daratumumab for AL amyloidosis.

Monitoring & Follow-up

  • Employ age-adjusted mortality rates (AAMRs) for tracking trends.

Risks

  • Cardiac involvement defined by multiple-cause-of-death codes related to cardiac conditions.

Patient & Prescribing Data

Patients with amyloidosis aged ≥ 25 years.

Improved clinical outcomes with new therapeutic agents.

Clinical Best Practices

  • Conduct comprehensive epidemiological surveillance for cardiac amyloidosis.
  • Stratify mortality data by demographic factors for better insights.
  • Utilize Joinpoint regression analysis for trend detection.

References

Original Source(s)

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