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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Dec 18, 2018
Date Accepted: Apr 27, 2019

The final, peer-reviewed published version of this preprint can be found here:

Aortic Stenosis Prognostication in Patients With Type 2 Diabetes: Protocol for Testing and Validation of a Biomarker-Derived Scoring System

Giritharan S, Cagampang F, Torrens C, Salhiyyah K, Duggan S, Ohri S

Aortic Stenosis Prognostication in Patients With Type 2 Diabetes: Protocol for Testing and Validation of a Biomarker-Derived Scoring System

JMIR Res Protoc 2019;8(8):e13186

DOI: 10.2196/13186

PMID: 31407670

PMCID: 6818526

A Hypothetical “One-Stop” Scoring System for Prognostication of Aortic Stenosis in Patients with Type 2 Diabetes

  • Suresh Giritharan; 
  • Felino Cagampang; 
  • Christopher Torrens; 
  • Kareem Salhiyyah; 
  • Simon Duggan; 
  • Sunil Ohri

ABSTRACT

Background Type 2 Diabetes has been established as an important independent risk factor for aortic stenosis with patients presenting with a high degree of valve calcification and left ventricular dysfunction compared to patients without diabetes due to myocardial fibrosis. Currently there is no reliable method of determining the optimal timing of intervention for a patient with asymptomatic aortic stenosis or predicting when a patient will become symptomatic. Research into serum biomarkers to predict subclinical onset and track progression of aortic stenosis is hampered by the multimodal nature of the pathological processes ultimately responsible for of aortic stenosis. Presentation of the hypothesis Validated serum biomarkers for the separate processes of calcification, inflammation, oxidative stress and fibrosis can be used to quantify onset and rate of progression of aortic stenosis. This, in combination with the echocardiographic parameter global longitudinal strain, can be compared with other objective investigations of calcification and fibrosis with the aim of developing a quick, non-invasive ‘one-stop’ assessment of aortic stenosis in patient with type 2 diabetes. Testing the hypothesis The serum biomarkers BNP, Gal-3, GDF-15, sST2, OPG and microRNA 19b and 21 will be samples from patients undergoing aortic valve replacement (with and without type 2 diabetes), patients with type 2 diabetes without aortic valve disease and healthy volunteers. These patients will also undergo Computed Tomography (CT) scans for calcium scoring, Magnetic Resonance Imaging (MRI) to quantify myocardial fibrosis, and myocardial strain imaging with speckle-tracking echocardiography. Samples of calcified native aortic valve and a biopsy of ventricular myocardium will be examined histologically to determine the quantity and distribution of calcification and fibrosis, and the secretome of these tissue samples will also be analysed for levels of the same biomarkers as in the serum samples. All patients will be followed up in three months and twelve months for repeat blood sampling, echocardiography, and CT and MRI imaging to assess disease progression or regression. The results of tissue analysis, CT and MRI scanning will be used to validate the findings of the serum biomarkers and echocardiographic assessment. Implications of the hypothesis A reliable, validated set of serum biomarkers combined with an inexpensive bedside echocardiographic examination can now form the basis of a ‘one-stop’ outpatient-based assessment service in providing an accurate risk assessment in patients with aortic stenosis at first contact.


 Citation

Please cite as:

Giritharan S, Cagampang F, Torrens C, Salhiyyah K, Duggan S, Ohri S

Aortic Stenosis Prognostication in Patients With Type 2 Diabetes: Protocol for Testing and Validation of a Biomarker-Derived Scoring System

JMIR Res Protoc 2019;8(8):e13186

DOI: 10.2196/13186

PMID: 31407670

PMCID: 6818526

Per the author's request the PDF is not available.