C. Difficile Colonization Among Children in Resource-Limited Settings
|
By LabMedica International staff writers Posted on 02 Mar 2022 |

This study describes the epidemiology and risk factors for colonization among children in the etiology, risk factors, and interactions of enteric infections and malnutrition. Also explored was whether C. difficile detection contributed to longer-term health outcomes.
Clostridioides difficile is a bacterium that causes severe diarrhea and colitis. It’s estimated to cause almost half a million infections in the USA each year. About 1 in 6 patients who get C. diff will get it again in the subsequent 2-8 weeks. One in 11 people over age 65 diagnosed with a healthcare-associated C. diff infection die within one month.
High rates of C. difficile colonization have been documented among infants in resource sufficient settings, where C. difficile infection (CDI) rates can be as high as 90% among hospitalized neonates. Colonization decreases with increasing age until age two when rates start to mirror healthy adults. Some studies have indicated that C. difficile may be more prevalent than rotavirus or Cryptosporidium in children presenting with diarrhea to the hospital.
Infectious Disease specialists at The University of Virginia School of Medicine (Charlottesville, VA, USA) conducted a study at eight sites: Dhaka, Bangladesh; Fortaleza, Brazil; Vellore, India; Bhaktapur, Nepal; Loreto, Peru; Naushero Feroze, Pakistan; Venda, South Africa; and Haydom, Tanzania. The study ran from November 2009 through February 2014. The team tested 41,354 monthly non-diarrheal and diarrheal stools for C. difficile toxin genes (tcdA and tcdB) using quantitative polymerase chain reaction (qPCR) in 1,715 children from birth to age two years.
The QIAmp Fast DNA Stool Mini Kit (Qiagen, Venlo, The Netherlands) was used to extract total nucleic acid from the stool specimens. TaqMan Array Cards (TAC) were developed to detect 29 enteropathogens via qPCR using AgPath One Step Realtime PCR kit (Thermo Fisher Scientific, Waltham, MA, USA). The qPCR assays targeting C. difficile tcdA (enterotoxin) and tcdB (cytotoxin) genes were validated on the TaqMan Array platform, demonstrating 100% sensitivity and 100% specificity on clinical specimens using a secondary real time PCR as confirmation.
Monthly stool samples were tested for myeloperoxidase (MPO; measured in ng/m), neopterin (NEO; measured in nmol/L), and α-1-antitrypsin (AAT; measured in mg/g) and analyzed on the logarithmic scale. Serum α-1-acid glycoprotein was measured at months 7, 15, and 24 (AGP; measured in mg/dL). Lactulose/mannitol excretion ratios (LMR) were measured in urine at 3, 6, 9, and 15 months. Plasma zinc and retinol were measured at 7, 15, and 24 months.
The scientists reported that the prevalence of C. difficile detection was lower in diarrheal (2.2%; n= 151/6,731) compared to non-diarrheal stools (6.1%; n= 2106/34,623). By 24 months of age, the cumulative incidence of C. difficile varied widely by site, ranging from 17.9% (n=44; Pakistan) to 76.3% (n=148; Peru) of children having at least one positive stool. Only Bangladesh and Pakistan had seasonal differences in C. difficile detection. Female gender (adjusted risk ratio (aRR):1.18), cephalosporin use in the past 15 days (aRR: 1.73), and treated water (aRR: 1.24) were risk factors for C. difficile positivity. C. difficile carriage was significantly associated with elevated fecal myeloperoxidase, neopterin, and α-1-antitrypsin, but no associations were found between C. difficile and child growth at 24 months of age.
The authors concluded that C. difficile colonization among children ages 0-2 years was variable across low-resource settings. Significant elevation of intestinal inflammation and barrier disruption markers associated with C. difficile detection suggests subclinical impact of colonization. The study was published on February 09, 2022 in the journal Clinical Microbiology and Infection.
Related Links:
University of Virginia School of Medicine
Qiagen
Thermo Fisher Scientific
Latest Microbiology News
- New UTI Diagnosis Method Delivers Antibiotic Resistance Results 24 Hours Earlier
- Breakthroughs in Microbial Analysis to Enhance Disease Prediction
- Blood-Based Diagnostic Method Could Identify Pediatric LRTIs
- Rapid Diagnostic Test Matches Gold Standard for Sepsis Detection
- Rapid POC Tuberculosis Test Provides Results Within 15 Minutes
- Rapid Assay Identifies Bloodstream Infection Pathogens Directly from Patient Samples
- Blood-Based Molecular Signatures to Enable Rapid EPTB Diagnosis
- 15-Minute Blood Test Diagnoses Life-Threatening Infections in Children
- High-Throughput Enteric Panels Detect Multiple GI Bacterial Infections from Single Stool Swab Sample
- Fast Noninvasive Bedside Test Uses Sugar Fingerprint to Detect Fungal Infections
- Rapid Sepsis Diagnostic Device to Enable Personalized Critical Care for ICU Patients
- Microfluidic Platform Assesses Neutrophil Function in Sepsis Patients
- New Diagnostic Method Confirms Sepsis Infections Earlier
- New Markers Could Predict Risk of Severe Chlamydia Infection
- Portable Spectroscopy Rapidly and Noninvasively Detects Bacterial Species in Vaginal Fluid
- CRISPR-Based Saliva Test Detects Tuberculosis Directly from Sputum
Channels
Clinical Chemistry
view channel
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read more
Compact Raman Imaging System Detects Subtle Tumor Signals
Accurate cancer diagnosis often depends on labor-intensive tissue staining and expert pathological review, which can delay results and limit access to rapid screening. These conventional methods also make... Read moreMolecular Diagnostics
view channel
Blood Test Combined with MRI Brain Scans Reveals Two Distinct Multiple Sclerosis Types
Multiple sclerosis (MS) affects more than 2.8 million people worldwide, yet predicting how the disease will progress in individual patients remains difficult. Current MS classifications are based on clinical... Read more
Ultra-Sensitive Blood Biomarkers Enable Population-Scale Insights into Alzheimer’s Pathology
Accurately estimating how many people carry Alzheimer’s disease pathology has long been a challenge, as traditional methods rely on small, clinic-based samples rather than the general population.... Read more
Blood Test Could Predict Death Risk in World’s Most Common Inherited Heart Disease
Hypertrophic cardiomyopathy (HCM) is the world’s most common inherited heart condition and affects millions of people globally. While some patients live with few or no symptoms, others develop heart failure,... Read moreHematology
view channel
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more
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
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read more
Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
Colon cancer remains a major cause of cancer-related illness, with many patients facing relapse even after surgery and chemotherapy. Up to 40% of people with stage III disease experience recurrence, highlighting... Read morePathology
view channel
Genetics and AI Improve Diagnosis of Aortic Stenosis
Aortic stenosis is a progressive narrowing of the aortic valve that restricts blood flow from the heart and can be fatal if left untreated. There are currently no medical therapies that can prevent or... Read more
AI Tool Simultaneously Identifies Genetic Mutations and Disease Type
Interpreting genetic test results remains a major challenge in modern medicine, particularly for rare and complex diseases. While existing tools can indicate whether a genetic mutation is harmful, they... Read more
Rapid Low-Cost Tests Can Prevent Child Deaths from Contaminated Medicinal Syrups
Medicinal syrups contaminated with toxic chemicals have caused the deaths of hundreds of children worldwide, exposing a critical gap in how these products are tested before reaching patients.... Read more
Tumor Signals in Saliva and Blood Enable Non-Invasive Monitoring of Head and Neck Cancer
Head and neck cancers are among the most aggressive malignancies worldwide, with nearly 900,000 new cases diagnosed each year. Monitoring these cancers for recurrence or relapse typically relies on tissue... Read moreTechnology
view channel
Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
Detecting cancer early and tracking how it responds to treatment remains a major challenge, particularly when cancer cells are present in extremely low numbers in the bloodstream. Circulating tumor cells... Read more
AI Predicts Colorectal Cancer Survival Using Clinical and Molecular Features
Colorectal cancer is one of the most common and deadly cancers worldwide, and accurately predicting patient survival remains a major clinical challenge. Traditional prognostic tools often rely on either... Read moreIndustry
view channel
BD and Penn Institute Collaborate to Advance Immunotherapy through Flow Cytometry
BD (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) has entered into a strategic collaboration with the Institute for Immunology and Immune Health (I3H, Philadelphia, PA, USA) at the University... Read more







