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
- 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
- AI-Enabled Assistant Unifies Molecular Workflow Planning and Support
- AI Tool Automates Validation of Laboratory Software Configuration Changes
- Point-of-Care Testing Enhances Health Literacy and Self-Management in Chronic Disease
- Fully Automated Sample-to-Insight Workflow Advances Latent TB Testing
- Tumor-on-a-Chip Platform Models Pancreatic Cancer Treatment Response
- New Platform Captures Extracellular Vesicles for Early Cancer Detection
- Microfluidic Single-Cell Assay Predicts Breast Cancer Risk
- AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
Channels
Clinical Chemistry
view channel
Portable Troponin Assay Brings Heart Attack Diagnosis Closer to Patients
Timely confirmation of myocardial infarction often depends on laboratory testing that may not be immediately available at the point of care. This gap between clinical suspicion and definitive evidence... Read more
Blood Biomarker Reveals Hidden Disability Progression in Multiple Sclerosis
Multiple sclerosis (MS) remains difficult to monitor because neurological decline can continue even after relapses stop. This progression independent of relapse activity is often subtle and may escape... Read moreMolecular Diagnostics
view channel
Blood Test Could Help Fast-Track Lymphoma Diagnosis in Resource-Limited Settings
Lymphoma can be difficult to distinguish from infections and benign conditions, while definitive diagnosis often depends on surgical tissue sampling and specialized pathology that may not be readily available.... Read more
Liquid Biopsy Assay Enriches Tumor DNA for Early Detection and Monitoring
Circulating tumor-derived DNA (ctDNA) is often present at very low levels in plasma, making cancer detection and monitoring through liquid biopsy technically challenging. Background cell-free DNA from... Read moreHematology
view channel
New Genetic Findings Reveal Cause of Bone Marrow Failure Syndrome
Inherited bone marrow failure syndromes (IBMFS) impair the bone marrow’s ability to produce sufficient healthy blood cells and are associated with an increased risk of early-onset myelodysplastic syndromes (MDS).... Read more
Ultra-Portable Device Enables Finger-Prick Blood Testing at Home
Patients who need frequent blood tests often face repeated clinic visits that burden services and disrupt care. In the UK, millions of tests are performed each year to diagnose disease, guide therapy,... Read moreImmunology
view channel
Study Reveals Viral Protein Driving COVID-19-Related Vascular Injury
Lingering symptoms after acute COVID-19 infection remain a clinical challenge, with many patients experiencing fatigue, cognitive problems, and cardiovascular complications months later.... Read more
Study Reveals Immune Mechanism Driving Severe COVID-19 Progression
Severe COVID-19 has highlighted gaps in understanding of early antiviral responses, particularly why some patients deteriorate despite timely care. Type I interferons are central to host defense, yet their... Read more
Antibody Profiling Identifies Preclinical Inflammatory Bowel Disease Years Before Diagnosis
Inflammatory bowel disease often develops after a prolonged symptom-free period, complicating timely recognition and clinical intervention. Limited understanding of immune activity during this silent phase... Read morePathology
view channel
FDA-Cleared Digital Pathology Platform Expands Interoperability for Primary Diagnosis
Rising cancer incidence is colliding with a shrinking pathologist workforce, intensifying pressure on diagnostic turnaround times in clinical laboratories. Many labs are adopting digital pathology to manage... Read more
AI Pathology Tool Predicts Relapse Risk in Stage II Colorectal Cancer
Bowel cancer is Australia’s fourth most commonly diagnosed cancer and the second leading cause of cancer death, while remaining the third most common cancer worldwide. In stage-two disease, determining... Read more
AI Pathology Tool Stratifies Rectal Cancer to Guide Chemoradiotherapy
Choosing intensified regimens for locally advanced rectal cancer is challenging because these therapies can cause serious side effects. Colorectal cancer is the fourth-most fatal cancer in the UK, and... Read more
PD-L1 Assay Guides Pembrolizumab Eligibility in Ovarian, Fallopian Tube, and Peritoneal Cancers
Agilent Technologies’ PD-L1 IHC 22C3 pharmDx (Code SK006) has received European Union certification as a companion diagnostic to aid in identifying patients with epithelial ovarian, fallopian tube, or... Read moreTechnology
view channel
Interoperable Data Platform Standardizes Multi-Cancer Blood Test Results
Proteotype Diagnostics has introduced Alchemi, a proprietary data and clinical workflow platform being developed for Enlighten, the company’s investigational blood-based multi-cancer test.... Read more
Training Device Improves Accuracy of Pooled Molecular Diagnostics
High-throughput molecular diagnostics have transformed infectious disease detection, but many workflows remain difficult to execute accurately without extensive training. Sample pooling can cut per‑test... Read more
New CE-Certified Software Advances Whole-Genome Cancer Testing
European hospitals are increasingly using comprehensive tumor genomics to guide therapy, but routine whole genome sequencing (WGS) requires validated, regulation-compliant workflows. A newly CE-certified... Read more
National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
Rare diseases collectively impose a significant clinical burden despite their individual rarity, often involving multisystem presentations and prolonged diagnostic journeys. Limited specialist expertise... Read moreIndustry
view channel
Standardized Staining Technology Advances Digital Pathology Workflows
Digital pathology is increasingly used to streamline cancer diagnostics, yet staining variability can hinder slide interpretation and limit the reliability of artificial intelligence tools.... Read more
Global Testing Service Advances Leukemia MRD Monitoring
KMT2A rearrangements drive aggressive subsets of acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) and are associated with relapse and poor outcomes. As menin inhibitors enter clinical... Read more







