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
- Laser-Based Swab Analysis Shows Promise for Detecting Disease-Linked Odor Patterns
- Laser-Enhanced Assay Boosts Sensitivity for Colorectal Cancer Biomarker Detection
- New Automation Workflow Streamlines NGS Library Preparation for High-Volume Labs
- ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine
- Multimodal AI Framework Aims to Guide Cancer Immunotherapy Decisions
- New Multipurpose Centrifuge Combines High Capacity with Sustainable Cooling
- Bacterial Vesicle Expression System Streamlines Production of Cancer Diagnostic Proteins
- Autonomous Robotic System Receives FDA Authorization for Blood Collection
- Interoperable Data Platform Standardizes Multi-Cancer Blood Test Results
- Training Device Improves Accuracy of Pooled Molecular Diagnostics
- New CE-Certified Software Advances Whole-Genome Cancer Testing
- National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
- AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
- Agentic AI Platform Supports Genomic Decision-Making in Oncology
- Algorithm Panel Aids Liver Fibrosis Assessment and Liver Cancer Surveillance
- Mailed Screening Kits Help Reduce Colorectal Cancer Screening Gaps
Channels
Clinical Chemistry
view channel
Global Laboratory Survey Underscores Need to Standardize Bone Biomarker Testing
Bone and mineral metabolism biomarkers can complement dual-energy X-ray absorptiometry (DXA) by providing information on disease activity and treatment response. For more than 20 years, standardization... Read more
Label-Free Platform Combines Microfluidics and AI for Circulating Tumor Cell Analysis
Liquid biopsy relies on detecting rare tumor-derived material in blood, but circulating tumor cells (CTCs) are especially difficult to capture because they are vastly outnumbered by normal blood cells.... Read more
Rapid D-Dimer Assay Supports Exclusion and Monitoring of Serious Clotting Conditions
Blood clots can rapidly become life‑threatening and affect approximately 10 million people worldwide each year. During time‑sensitive evaluations, clinicians use D‑dimer testing to help rule out deep vein... Read moreMolecular Diagnostics
view channel
Genomic Classifier Predicts Benefit From Adding Hormone Therapy to Salvage Prostate Radiation
Men who have undergone prostatectomy for prostate cancer may later develop a detectable or rising prostate-specific antigen, prompting salvage radiation therapy. A key challenge is determining who is most... Read more
Blood-Based Test Broadens Colorectal Cancer Screening Options
Colorectal cancer is the second-leading cause of cancer-related death in the U.S., yet outcomes improve markedly when the disease is detected through routine screening. Despite this, up to 60 million Americans... Read moreHematology
view channel
New Donor Genetic Marker May Help Predict Stem Cell Transplant Success
Donor selection for hematopoietic stem cell transplantation plays a major role in relapse risk and survival for patients with blood cancers and other blood disorders. Despite advances in genotyping, uncertainty... Read more
Updated Ferritin Thresholds Improve Detection of Iron Deficiency
Iron deficiency is one of the most common health conditions worldwide, yet its nonspecific symptoms can delay diagnosis for months. Variation in testing practices and ferritin thresholds may contribute... Read moreImmunology
view channel
Blood Test Differentiates Bacterial and Viral Infections in Febrile Infants
Fever in infants younger than 3 months is treated as a medical emergency because infections can become life-threatening while the immune system is still developing. Emergency department teams must quickly... Read more
New Autoantibody Test Targets Pre-Symptomatic Type 1 Diabetes Screening
Type 1 diabetes is often first recognized only after substantial beta-cell destruction, sometimes presenting as diabetic ketoacidosis. Population-scale screening could identify children at elevated risk... Read morePathology
view channel
New AI Model Maps Where Glioblastoma Could Return After Surgery
Glioblastoma is the most common malignant brain tumor in adults and the most lethal, with median survival of about 17 months after diagnosis. Even after surgeons remove all visible tumor and patients receive... Read more
Multimodal AI Supports Prostate Cancer Risk Assessment Across Diverse Cohorts
Artera’s (Los Altos, CA, USA) multimodal artificial intelligence (MMAI) platform is being featured in five abstracts at the American Society for Radiation Oncology (ASTRO) 2026 Annual Meeting.... Read moreTechnology
view channelLaser-Based Swab Analysis Shows Promise for Detecting Disease-Linked Odor Patterns
Disease-related changes in volatile organic compounds can alter body odor, producing measurable patterns in exhaled breath and bodily fluids. Current analytical methods can be complex, time-consuming,... Read more
Laser-Enhanced Assay Boosts Sensitivity for Colorectal Cancer Biomarker Detection
Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer-related death worldwide. Early detection remains critical, but cancer biomarkers can produce only faint... Read moreIndustry
view channel
Collaboration Combines AI Cognitive Assessment and RNA Blood Testing for Earlier Alzheimer’s Detection
Alzheimer’s disease is often identified only after substantial neurodegeneration, partly because current diagnostic pathways are fragmented and difficult to scale. As treatment shifts toward earlier intervention,... Read more
Mayo Clinic Laboratories and Pathology Asia Expand Genomic Testing Across Asia-Pacific
Mayo Clinic Laboratories and Pathology Asia Holdings (PAH), together with subsidiary LifeStrands Genomics, announced a strategic investment and collaboration focused on expanding access to advanced diagnostics... Read more







