Methods Compared Classifying Intensity of Soil-Transmitted Helminth Infections
|
By LabMedica International staff writers Posted on 23 Jul 2020 |

Image: The FECPAKG2 is an internet connected, image based diagnostic platform scientifically validated to conduct fecal egg count (FEC) tests (Photo courtesy of Techion).
Soil-transmitted helminths (Ascaris lumbricoides, Trichuris trichiura) and the hookworms, Necator americanus and Ancylostoma duodenale affect one quarter of the world population, and are responsible for the loss of more than three million disability-adjusted life years (DALYs).
There are a variety of novel microscopy and DNA-based methods to identify soil-transmitted helminths, but it remains unclear whether applying current World Health Organization (WHO) thresholds on to these methods allows for a reliable classification of moderate-to-heavy intensity (M&HI) infections.
An international team of scientists led by those at Ghent University (Merelbeke, Belgium) defined method-specific thresholds and verified whether they increased the correct classification of M&HI infections in a multi-countries study. They evaluated both WHO and method-specific thresholds for classifying the M&HI infections for novel microscopic methods: McMaster egg counting technique, FECPAKG2 (Techion, Aberystwyth, UK), and Mini-FLOTAC (Federico II University of Naples, Naples, Italy) and DNA-based (qPCR) diagnostic methods (Elisabeth-Tweesteden Hospital, Tilburg, The Netherlands). The samples were also analyzed by Kato-Katz method as the reference method.
The team applied the WHO thresholds, the new microscopic methods mainly misclassified M&HI as low intensity, and to a lesser extent low intensity infection as M&HI. For FECPAKG2, applying the method-specific thresholds significantly improved the agreement for Ascaris (moderate → substantial), Trichuris and hookworms (fair → moderate). For Mini-FLOTAC, a significantly improved agreement was observed for hookworms only (fair → moderate). For the other STHs, the agreement was almost perfect and remained unchanged. For McMaster, the method-specific thresholds revealed a fair to a substantial agreement, but did not significantly improve the agreement. For qPCR, the method-specific thresholds based on genome equivalents per mL of DNA moderately agreed with the reference method for hookworms and Trichuris infections. For Ascaris, there was a substantial agreement.
The authors concluded that their results indicated that method-specific thresholds improved the classification of M&HI infections, but they stressed that validation studies are required before they can be recommended for general use in assessing M&HI infections in programmatic settings. The study also highlights the need (i) to agree on an absolute universal unit for qPCR, (ii) to align the evaluation of diagnostic methods with current STH program goals, and (iii) to define minimal and ideal (optimistic) criteria that diagnostic methods should meet in order to assess M&HI infections reliably. The study was published on July 2, 2020 in the journal PLOS Neglected Tropical Diseases.
Related Links:
Ghent University
Techion
Federico II University of Naples
Elisabeth-Tweesteden Hospital
There are a variety of novel microscopy and DNA-based methods to identify soil-transmitted helminths, but it remains unclear whether applying current World Health Organization (WHO) thresholds on to these methods allows for a reliable classification of moderate-to-heavy intensity (M&HI) infections.
An international team of scientists led by those at Ghent University (Merelbeke, Belgium) defined method-specific thresholds and verified whether they increased the correct classification of M&HI infections in a multi-countries study. They evaluated both WHO and method-specific thresholds for classifying the M&HI infections for novel microscopic methods: McMaster egg counting technique, FECPAKG2 (Techion, Aberystwyth, UK), and Mini-FLOTAC (Federico II University of Naples, Naples, Italy) and DNA-based (qPCR) diagnostic methods (Elisabeth-Tweesteden Hospital, Tilburg, The Netherlands). The samples were also analyzed by Kato-Katz method as the reference method.
The team applied the WHO thresholds, the new microscopic methods mainly misclassified M&HI as low intensity, and to a lesser extent low intensity infection as M&HI. For FECPAKG2, applying the method-specific thresholds significantly improved the agreement for Ascaris (moderate → substantial), Trichuris and hookworms (fair → moderate). For Mini-FLOTAC, a significantly improved agreement was observed for hookworms only (fair → moderate). For the other STHs, the agreement was almost perfect and remained unchanged. For McMaster, the method-specific thresholds revealed a fair to a substantial agreement, but did not significantly improve the agreement. For qPCR, the method-specific thresholds based on genome equivalents per mL of DNA moderately agreed with the reference method for hookworms and Trichuris infections. For Ascaris, there was a substantial agreement.
The authors concluded that their results indicated that method-specific thresholds improved the classification of M&HI infections, but they stressed that validation studies are required before they can be recommended for general use in assessing M&HI infections in programmatic settings. The study also highlights the need (i) to agree on an absolute universal unit for qPCR, (ii) to align the evaluation of diagnostic methods with current STH program goals, and (iii) to define minimal and ideal (optimistic) criteria that diagnostic methods should meet in order to assess M&HI infections reliably. The study was published on July 2, 2020 in the journal PLOS Neglected Tropical Diseases.
Related Links:
Ghent University
Techion
Federico II University of Naples
Elisabeth-Tweesteden Hospital
Latest Technology News
- AI Saliva Sensor Enables Early Detection of Head and Neck Cancer
- AI-Powered Biosensor Technology to Enable Breath Test for Lung Cancer Detection
- AI Model Achieves Breakthrough Accuracy in Ovarian Cancer Detection
- Portable Biosensor Diagnoses Psychiatric Disorders Using Saliva Samples
- Cell-Sorting Device Uses Electromagnetic Levitation to Precisely Direct Cell Movement

- Embedded GPU Platform Enables Rapid Blood Profiling for POC Diagnostics
- Viral Biosensor Test Simultaneously Detects Hepatitis and HIV
- Acoustofluidic Device to Transform Point-Of-Care sEV-Based Diagnostics
- AI Algorithm Assesses Progressive Decline in Kidney Function
- Taste-Based Influenza Test Could Replace Nasal Swabs with Chewing Gum
- 3D Micro-Printed Sensors to Advance On-Chip Biosensing for Early Disease Detection
- Hybrid Pipette Combines Manual Control with Fast Electronic Aliquoting
Channels
Clinical Chemistry
view channel
Mismatch Between Two Common Kidney Function Tests Indicates Serious Health Problems
Creatinine has long been the standard for measuring kidney filtration, while cystatin C — a protein produced by all human cells — has been recommended as a complementary marker because it is influenced... Read more
VOCs Show Promise for Early Multi-Cancer Detection
Early cancer detection is critical to improving survival rates, but most current screening methods focus on individual cancer types and often involve invasive procedures. This makes it difficult to identify... Read moreMolecular Diagnostics
view channel
New DNA Test Tracks Spread of Parasitic Disease from Single Sample
Leishmaniasis remains a major challenge for veterinary and public health systems, largely because its transmission involves multiple sand fly species and a wide range of animal hosts. Understanding these... Read more
Hidden Blood Biomarkers to Revolutionize Diagnosis of Diabetic Kidney Disease
Diabetic kidney disease often develops silently, and many patients are diagnosed only after irreversible damage has occurred. Late diagnosis frequently leads to complications affecting the kidneys, heart,... Read moreHematology
view channel
Platelet Activity Blood Test in Middle Age Could Identify Early Alzheimer’s Risk
Early detection of Alzheimer’s disease remains one of the biggest unmet needs in neurology, particularly because the biological changes underlying the disorder begin decades before memory symptoms appear.... Read more
Microvesicles Measurement Could Detect Vascular Injury in Sickle Cell Disease Patients
Assessing disease severity in sickle cell disease (SCD) remains challenging, especially when trying to predict hemolysis, vascular injury, and risk of complications such as vaso-occlusive crises.... Read more
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read moreImmunology
view channel
Chip Captures Cancer Cells from Blood to Help Select Right Breast Cancer Treatment
Ductal carcinoma in situ (DCIS) accounts for about a quarter of all breast cancer cases and generally carries a good prognosis. This non-invasive form of the disease may or may not become life-threatening.... Read more
Blood-Based Liquid Biopsy Model Analyzes Immunotherapy Effectiveness
Immunotherapy has revolutionized cancer care by harnessing the immune system to fight tumors, yet predicting who will benefit remains a major challenge. Many patients undergo costly and taxing treatment... Read morePathology
view channel
Simple Optical Microscopy Method Reveals Hidden Structures in Remarkable Detail
Understanding how microscopic fibers are organized in human tissues is key to revealing how organs function and how diseases disrupt them. However, these fiber networks have remained difficult to visualize... Read more
Hydrogel-Based Technology Isolates Extracellular Vesicles for Early Disease Diagnosis
Isolating extracellular vesicles (EVs) from biological fluids is essential for early diagnosis, therapeutic development, and precision medicine. However, traditional EV-isolation methods rely on ultra... Read moreTechnology
view channel
AI Saliva Sensor Enables Early Detection of Head and Neck Cancer
Early detection of head and neck cancer remains difficult because the disease produces few or no symptoms in its earliest stages, and lesions often lie deep within the head or neck, where biopsy or endoscopy... Read more
AI-Powered Biosensor Technology to Enable Breath Test for Lung Cancer Detection
Detecting lung cancer early remains one of the biggest challenges in oncology, largely because current tools are invasive, expensive, or unable to identify the disease in its earliest phases.... Read moreIndustry
view channel
Abbott Acquires Cancer-Screening Company Exact Sciences
Abbott (Abbott Park, IL, USA) has entered into a definitive agreement to acquire Exact Sciences (Madison, WI, USA), enabling it to enter and lead in fast-growing cancer diagnostics segments.... Read more








