Salivary Alpha-Amylase Activity, a New Biomarker in Heart Failure?

Abstract

Abstractsystem. Autonomic imbalance is associated to several diseases, one of which is heart failure, and the aim of the Methods: In this pilot study, 48 elderly men (range 59-89 years), 24 patients with established chronic heart failure in NYHA class I to III, and 24 controls were included. In all participants, saliva was collected for three consecutive days at three time points (at awakening, 30 minutes later and in the late afternoon), and blood was sampled for analysis of NT-proBNP. Results:levels with arterial blood pressure.to be a negative correlation with blood pressure. Conclusions:Our data supports the idea that sAA activity has the potential as a non-invasive index of adrenergic sAA activity levels, we expect a greater potential for monitoring its changes over time, which could prove a valuable surrogate biomarker for cardiovascular diseases, including heart failure.

HEARTEN KMS – A knowledge management system targeting the management of patients with heart failure

“…socio-demographic, clinical examination, medical condition, lab tests, medication intake, phenotypic data, sensor data) along with machine learning techniques are presented in [24,[29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47]49]. Recent studies have identified certain biomarkers which strongly correlate with the HF severity, progression and mortality [64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79][80][81], while the progress in analytical chemistry and biosensor development allowed their detection in saliva and breath [82][83][84][85] with prominent merits due to the easy and non-invasive sample collection. The Event prediction module aims to inform the experts about the possible presence of adverse events (relapses and mortality): (i) by introducing saliva and breath biomarkers into the adverse event prediction process, (ii) based on a machine le...…”

Estimation of Heart Failure Patients Medication Adherence through the Utilization of Saliva and Breath Biomarkers and Data Mining Techniques

“…The last years' studies have revealed the strong correlation of saliva and breath biomarkers with HF severity, progression and mortality through statistical analysis methods [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28].…”

A computational approach for the estimation of heart failure patients status using saliva biomarkers

“…a-Amylase is a new biomarker for assessing the activity of the sympathetic nervous system and has been recently proved to be a prominent candidate for HF [6,7]. Cortisol is known to affect cardiovascular risk factors, such as hypertension that in turn influence survival.…”