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Updated: Jun 26, 2026

Genetic Analysis of Hereditary Transthyretin Ala97Ser Related Amyloidosis
Published on: June 9, 2018
Pathways for Patients with Transthyretin Amyloid Cardiomyopathy from a District General Hospital Perspective
Chun Shing Kwok1, Pippa Hamnett1, Matt Palmer2
1Department of Cardiology, Mid Cheshire Hospitals NHS Foundation Trust, Crewe CW1 4QJ, UK.
Insights
Forensic data acquisition and pathway analysis reveals hidden diagnostic patterns in transthyretin amyloid cardiomyopathy (ATTR-CM). This method uncovers real-world patient journeys and missed diagnostic opportunities in clinical practice.
Area of Science:
- Cardiology
- Medical Informatics
- Genetics
Background:
- Transthyretin amyloid cardiomyopathy (ATTR-CM) care is often fragmented, with routine datasets failing to capture real-world patient trajectories.
- A novel approach, forensic data acquisition and pathway analysis, is introduced to examine patient experiences in a district general hospital.
Purpose of the Study:
- To investigate the real-world clinical activity and diagnostic pathways of patients with ATTR-CM.
- To identify patterns and missed opportunities in ATTR-CM diagnosis using a novel data analysis method.
Main Methods:
- Retrospective evaluation of inpatient and outpatient healthcare records from 2019 to 2025.
- Application of forensic data acquisition and pathway analysis to identify patient cases and diagnostic triggers.
Main Results:
- Identified 26 wild-type and 4 hereditary ATTR-CM cases, estimating prevalence at 1 in 10,000.
- Common red flags included carpal tunnel syndrome (63.3%) and lumbar spinal stenosis (26.7%).
- Echocardiographic findings like left ventricular hypertrophy (86.7%) and left atrial dilatation (76.7%) were frequent; cardiac MRI and biopsy aided diagnosis.
Conclusions:
- Forensic data acquisition and pathway analysis effectively reveals real-world clinical activity in ATTR-CM.
- This approach exposes diagnostic patterns and missed opportunities often obscured in routine datasets.
- The method offers a powerful tool for understanding and improving ATTR-CM patient care pathways.
Background:
The care of patients with transthyretin amyloid cardiomyopathy (ATTR-CM) is often fragmented and routine datasets rarely capture real-world clinical trajectories and reasons for diagnosis. We introduce a novel approach, called forensic data acquisition and pathway analysis, to examine the real-world experiences of patients with ATTR-CM in our district general hospital.
Methods:
We retrospectively evaluated inpatient and outpatient healthcare records for our hospital between 2019 to 2025 as a part of a quality improvement project.
Results:
We identified 26 cases of confirmed or likely wild-type ATTR-CM and four hereditary cases from two families carrying the S77Y variant and estimate the prevalence of transthyretin cardiac amyloidosis to be 1 per 10,000 patients. Many red flags were present in patients, including carpal tunnel syndrome (63.3%) and lumbar spinal stenosis (26.7%), as well as echocardiographic features of left ventricular hypertrophy (86.7%), left atrial dilatation (76.7%), right ventricular hypertrophy (43.3%), and a dense or speckled myocardial appearance (43.3%). Among patients with wild-type disease, the most frequent trigger for further investigation was the presence of suspicious features on transthoracic echocardiography, accounting for 13 cases. Incidental abnormalities detected on cardiac MRI contributed to another six diagnoses. In two patients, non-invasive imaging did not provide sufficient diagnostic certainty, and myocardial biopsy was required to confirm ATTR-CM.
Conclusions:
Forensic data acquisition and pathway analysis provides a powerful approach for revealing real-world clinical activity in ATTR-CM, exposing diagnostic patterns and missed opportunities that remain hidden in routine datasets.
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