Point-of-Care Testing Devices for Heart Failure Analyzing Blood and Saliva Samples

Tripoliti, Evanthia E.; Fotiadis, Dimitrios I.; Ioannidou, Penelope; Toumpaniaris, Petros; Rammos, Aidonis; Pacitto, Dominique; Lourme, Jean-Christophe; Goletsis, Yorgos; Naka, Katerina K.; Errachid, Abdelhamid

doi:10.1109/rbme.2019.2905730

Cited by 16 publications

(7 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In saliva, these approaches are very widespread, being used for the diagnosis of several health conditions, including cardiovascular diseases [104], Alzheimer's disease [105], diabetes [106], oral diseases [107][108][109], and cancer [110]. The technology behind the design and operation of these developments is highly varied.…”

Section: Current Trends and Future Perspectives In Enzymatic Methods For Salivary Biomarkers Detectionmentioning

confidence: 99%

Enzymatic Methods for Salivary Biomarkers Detection: Overview and Current Challenges

2021

View full text Add to dashboard Cite

Early detection is a key factor in patient fate. Currently, multiple biomolecules have been recognized as biomarkers. Nevertheless, their identification is only the starting line on the way to their implementation in disease diagnosis. Although blood is the biofluid par excellence for the quantification of biomarkers, its extraction is uncomfortable and painful for many patients. In this sense, there is a gap in which saliva emerges as a non-invasive and valuable source of information, as it contains many of the biomarkers found in blood. Recent technological advances have made it possible to detect and quantify biomarkers in saliva samples. However, there are opportunity areas in terms of cost and complexity, which could be solved using simpler methodologies such as those based on enzymes. Many reviews have focused on presenting the state-of-the-art in identifying biomarkers in saliva samples. However, just a few of them provide critical analysis of technical elements for biomarker quantification in enzymatic methods for large-scale clinical applications. Thus, this review proposes enzymatic assays as a cost-effective alternative to overcome the limitations of current methods for the quantification of biomarkers in saliva, highlighting the technical and operational considerations necessary for sampling, method development, optimization, and validation.

show abstract

Section: Current Trends and Future Perspectives In Enzymatic Methods For Salivary Biomarkers Detectionmentioning

confidence: 99%

Enzymatic Methods for Salivary Biomarkers Detection: Overview and Current Challenges

2021

View full text Add to dashboard Cite

show abstract

“…The better higher cognitive process by the biomarkers for Analyzing heart condition through Blood and Saliva samples was Proposed by Tripoliti et al [12] when managing Heart Failure patients. The devices are either commercially available or within the style of new prototypes.…”

Section: Related Workmentioning

confidence: 99%

Integrated Deep Learning Model for Heart Disease Prediction Using Variant Medical Data Sets

Fazlur¹,

Thillaigovindan²

2022

Int. J. Onl. Eng.

View full text Add to dashboard Cite

The Phenomenon of heart disease prediction has been well studied. There exist numerous techniques exist in literature which uses different features and methods. However, the accuracy of predicting heart disease is still a questioning factor. Towards improving the performance of heart disease prediction an efficient Integrated Deep Learning Model with Convolution Neural Network (IDLM_CNN) is presented in this article. The model considers various features from different data sets of lungs, diabetic and clinical features. The integrated model extracts texture features from lung images in form of mass values. Similarly, the blood glucose, BMI and other diabetic features are extracted from diabetic data set. Also, lifestyle features like physical habits, food habits and smoking habits are extracted from clinical data sets. Such features extracted from various data sets are combined and trained with Convolution neural network to support the disease prediction. The method convolves the features of lungs and combines with other features to compute Disease Prone Weight (DPW) towards cardiac disease. Based on the value of DPW, the method predicts the possibility of heart disease. The proposed method increases the performance of disease prediction and reduces the false ratio.

show abstract

“…Another important issue is to detect biomarkers that could be measured in other biological fluids (instead of blood), because this procedure would be less invasive and easier to accomplish in all clinical settings. Towards that direction, point-of-care devices that can be used for HF monitoring outside the hospital setting, in primary health care or at home have been developed [ 8 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Salivary Biomarkers for Diagnosis and Therapy Monitoring in Patients with Heart Failure. A Systematic Review

et al. 2021

Self Cite

View full text Add to dashboard Cite

The aim of this study was to perform a systematic review on the potential value of saliva biomarkers in the diagnosis, management and prognosis of heart failure (HF). The correlation between saliva and plasma values of these biomarkers was also studied. PubMed was searched to collect relevant literature, i.e., case-control, cross-sectional studies that either compared the values of salivary biomarkers among healthy subjects and HF patients, or investigated their role in risk stratification and prognosis in HF patients. No randomized control trials were included. The search ended on 31st of December 2020. A total of 15 studies met the inclusion criteria. 18 salivary biomarkers were analyzed and the levels of all biomarkers studied were found to be higher in HF patients compared to controls, except for amylase, sodium, and chloride that had smaller saliva concentrations in HF patients. Natriuretic peptides are the most commonly used plasma biomarkers in the management of HF. Their saliva levels show promising results, although the correlation of saliva to plasma values is weakened in higher plasma values. In most of the publications, differences in biomarker levels between HF patients and controls were found to be statistically significant. Due to the small number of patients included, larger studies need to be conducted in order to facilitate the use of saliva biomarkers in clinical practice.

show abstract

Point-of-Care Testing Devices for Heart Failure Analyzing Blood and Saliva Samples

Cited by 16 publications

References 92 publications

Enzymatic Methods for Salivary Biomarkers Detection: Overview and Current Challenges

Enzymatic Methods for Salivary Biomarkers Detection: Overview and Current Challenges

Integrated Deep Learning Model for Heart Disease Prediction Using Variant Medical Data Sets

Salivary Biomarkers for Diagnosis and Therapy Monitoring in Patients with Heart Failure. A Systematic Review

Contact Info

Product

Resources

About