Chapter title |
Kidney Smartphone Diagnostics
|
---|---|
Chapter number | 36 |
Book title |
Investigations of Early Nutrition Effects on Long-Term Health
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7614-0_36 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7613-3, 978-1-4939-7614-0
|
Authors |
P. R. Matías-García, J. L. Martinez-Hurtado, Matías-García, P. R., Martinez-Hurtado, J. L. |
Abstract |
Here we present a method for a mobile point-of-care (POC) testing of urinary albumin concentration, a biomarker of kidney damage and cardiovascular disease. The self-testing strips are meant to be interpreted by means of a smartphone application. The limits of detection range from 0.15 to 0.30 g/L urinary albumin, though results below 0.10 g/L are presented in a quantitative manner and estimates larger than this threshold are shown as categorical variables in a qualitative manner for increasing urinary albumin concentrations. Calibrated once under standard conditions, the app enables the user to capture problem samples and calculate the corresponding concentration. Negative and positive findings must be interpreted, taking into account the inherent limitations of the method, and professional health advice must be requested for diagnostic considerations. Acknowledgment of the association between early life nutrition and long-term renal health and the adoption of preventive strategies targeting high-risk groups is key for the reduction of the burden of chronic kidney disease on a global scale. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 20% |
Student > Ph. D. Student | 3 | 15% |
Student > Doctoral Student | 2 | 10% |
Lecturer | 1 | 5% |
Professor | 1 | 5% |
Other | 3 | 15% |
Unknown | 6 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 3 | 15% |
Psychology | 3 | 15% |
Computer Science | 3 | 15% |
Medicine and Dentistry | 2 | 10% |
Business, Management and Accounting | 1 | 5% |
Other | 2 | 10% |
Unknown | 6 | 30% |