Point of care (PoC) diagnostics are at the focus of government initiatives, NGOs and fundamental research alike. In high-income countries, the hope is to streamline the diagnostic procedure, minimize costs and make healthcare processes more efficient and faster, which, in some cases, can be more a matter of convenience than necessity. However, in resource-limited settings such as low-income countries, PoC-diagnostics might be the only viable route, when the next laboratory is hours away. Therefore, it is especially important to focus research into novel diagnostics for these countries in order to alleviate suffering due to infectious disease. In this review, the current research describing the use of PoC diagnostics in resource-limited settings and the potential bottlenecks along the value chain that prevent their widespread application is summarized. To this end, we will look at literature that investigates different parts of the value chain, such as fundamental research and market economics, as well as actual use at healthcare providers. We aim to create an integrated picture of potential PoC barriers, from the first start of research at universities to patient treatment in the field. Results from the literature will be discussed with the aim to bring all important steps and aspects together in order to illustrate how effectively PoC is being used in low-income countries. In addition, we discuss what is needed to improve the situation further, in order to use this technology to its fullest advantage and avoid "leaks in the pipeline", when a promising device fails to take the next step of the valorization pathway and is abandoned.
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http://dx.doi.org/10.3390/bios10100133 | DOI Listing |
Talanta
December 2024
Marshall Laboratory of Biomedical Engineering, Shenzhen Key Laboratory for Nano-Biosensing Technology, Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, Guangdong, 518060, PR China. Electronic address:
Colorimetric enzyme-linked immunosorbent assays (CELISAs) have long been used for protein biomarker detection in diagnostics. Unfortunately, as confined by the monochromatic nature of detection signals and the limited catalytic activity of enzymes, CELISAs suffer from poor visual resolution and low sensitivity, hindering their effectiveness for early diagnostics in resource-limited settings. Herein, we report an ultrasensitive, high-visual-resolution CELISA (named PE-TSA-AuAg Cage-CELISA) that combines kinetically controlled growth of Ag in AuAg nanocages with poly-enzyme-boosted tyramide signal amplification (PE-TSA), enabling visual semiquantitative detection of protein biomarkers at attomolar levels with the naked eye.
View Article and Find Full Text PDFTalanta
December 2024
Center of Excellence for Environmental Safety and Biological Effects, Department of Chemistry, College of Chemistry and Life Science, Beijing University of Technology, Beijing, 100124, China. Electronic address:
Nucleic acid detection is considered the golden standard for diagnosing infectious diseases caused by various pathogens, including viruses, bacteria, and parasites. PCR and other amplification-based technologies are highly sensitive and specific, allowing for accurate detection and identification of low-level causative pathogens by targeting and amplifying their unique genetic segment (DNA or RNA). However, it is important to recognize that machinery-dependent diagnostic methods may only sometimes be available or practical in resource-limited settings, where direct implementation can be challenging.
View Article and Find Full Text PDFEBioMedicine
December 2024
Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Background: Coronary artery disease (CAD) comprises one of the leading causes of morbidity and mortality both in the European population and globally. All established clinical risk stratification scores and models require blood lipids and physical measurements. The latest reports of the European Commission suggest that attracting health professionals to collect these data can be challenging, both from a logistic and cost perspective, which limits the usefulness of established models and makes them unsuitable for population-wide screening in resource-limited settings, i.
View Article and Find Full Text PDFNeurology
January 2025
Neurology, Yale School of Medicine, New Haven, CT.
Background And Objectives: The use of rapid response EEG (rr-EEG) has recently expanded in limited-resource settings and as a supplement to conventional EEG to rapidly detect and treat nonconvulsive status epilepticus. The study objective was to test the accuracy of an rr-EEG's automated seizure burden estimator (ASBE).
Methods: This is a retrospective observational study using multiple blinded reviewers.
PLoS One
December 2024
Clínica Colsanitas and Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.
Background: Despite declining COVID-19 incidence, healthcare workers (HCWs) still face an elevated risk of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. We developed a diagnostic multivariate model to predict positive reverse transcription polymerase chain reaction (RT-PCR) results in HCWs with suspected SARS-CoV-2 infection.
Methods: We conducted a cross-sectional study on episodes involving suspected SARS-CoV-2 symptoms or close contact among HCWs in Bogotá, Colombia.
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