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A smartphone-assisted pressure-measuring-based diagnosis system for acute myocardial infarction diagnosis

Authors Hong G, Rui G, Zhang D, Lian M, Yang Y, Chen P, Yang H, Guan Z, Chen W, Wang Y

Received 8 December 2018

Accepted for publication 15 February 2019

Published 8 April 2019 Volume 2019:14 Pages 2451—2464

DOI https://doi.org/10.2147/IJN.S197541

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Govarthanan Muthusamy

Peer reviewer comments 2

Editor who approved publication: Dr Thomas J Webster


Guolin Hong,1 Gang Rui,2 Dongdong Zhang,1 Mingjian Lian,1 Yuanyuan Yang,1 Ping Chen,1 Huijing Yang,3 Zhichao Guan,4 Wei Chen,5 Yan Wang6

1Department of Laboratory Medicine, The First Affiliated Hospital of Xiamen University, Xiamen 361005, People’s Republic of China; 2Department of Orthopaedic Surgery, The First Affiliated Hospital of Xiamen University, Xiamen 361005, People’s Republic of China; 3Department of Clinical Medicine, Fujian Medical University, Fuzhou 350108, People’s Republic of China; 4Department of Research and development, Xiamen Passtech Co.,Ltd., Xiamen 361101, People’s Republic of China; 5Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, People’s Republic of China; 6Department of Cardiology, the Affiliated Cardiovascular Hospital of Xiamen University, Medical College of Xiamen University, Xiamen 361004, People’s Republic of China

Background: Acute myocardial infarction (AMI), usually caused by atherosclerosis of coronary artery, is the most severe manifestation of coronary artery disease which results in a large amount of death annually. A new diagnosis approach with high accuracy, reliability and low measuring-time-consuming is essential for AMI quick diagnosis.
Purpose: The objective of this study was to develop a new point-of-care testing system with high accuracy and reliability for AMI quick diagnosis.
Patients and methods: 50 plasma samples of acute myocardial infarction patients were analyzed by developed Smartphone-Assisted Pressure-Measuring-Based Diagnosis System (SPDS). The concentration of substrate was firstly optimized. The effect of antibody labeling and matrix solution on measuring result were then evaluated. And standard curves for cTnI, CK-MB and Myo were built for clinical sample analysis. The measuring results of 50 clinical samples were finally evaluated by comparing with the measuring result obtained by CLIA.
Results: The concentration of substrate H2O2 was firstly optimized as 30% to increase measuring signal. A commercial serum matrix was chosen as the matrix solution to dilute biomarkers for standard curve building to minimize matrix effect on the accuracy of clinical plasma sample measuring. The standard curves for cTnI, CK-MB and Myo were built, with measuring dynamic range of 0–25 ng/mL, 0–33 ng/mL and 0–250 ng/mL, and limit of detection of 0.014 ng/mL, 0.16 ng/mL and 0.85 ng/mL respectively. The measuring results obtained by the developed system of 50 clinical plasma samples for three biomarkers matched well with the results obtained by chemiluminescent immunoassay.
Conclusion: Due to its small device size, high sensitivity and accuracy, SPDS showed a bright potential for point-of-care testing (POCT) applications.

Keywords: acute myocardial infarction, diagnosis, pressure sensor, smartphone, Pt nanoparticle

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