42 research outputs found

    Optimized sampling conditions for fecal volatile organic compounds analysis by means of field asymmetric ion mobility spectrometry

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    Background Fecal volatile organic compounds (VOCs) are increasingly considered as potential non-invasive, diagnostic biomarkers for various gastrointestinal diseases. Knowledge of influence of sampling conditions on VOC outcomes is limited. We aimed to evaluate effects of sampling conditions on fecal VOC profiles and to assess under which conditions an optimal diagnostic accuracy in the discrimination between pediatric inflammatory bowel disease (IBD) and controls could be obtained. Methods Fecal samples from de novo treatment-naïve pediatric IBD patients and healthy controls (HC) were used to assess effects of sampling conditions compared to the standard operating procedure (reference standard), defined as 500mg of sample mass, diluted with 10mL tap water, using field asymmetric ion mobility spectrometry (FAIMS). Results A total of 17 IBD (15CD and 2 UC) and 25 HC were included. IBD and HC could be discriminated with high accuracy (accuracy=0.93, AUC=0.99, p<0.0001). Smaller fecal sample mass resulted in a decreased diagnostic accuracy (300mg accuracy=0.77; AUC=0.69, p=0.02; 100mg accuracy=0.70, AUC=0.74, p=0.003). A loss of diagnostic accuracy was seen towards increased numbers of thaw-freeze cycles (one cycle: accuracy=0.61, AUC=0.80, p=0.0004, two cycles: accuracy=0.64, AUC=0.56, p=0.753, three cycles: accuracy=0.57, AUC=0.50, p=0.5101) and when samples were kept at room temperature for 180 minutes prior to analysis (accuracy=0.60, AUC=0.51, p=0.46). Diagnostic accuracy of VOC profiles was not significantly influenced by storage duration differences of 20 months. Conclusion Application of 500mg sample mass analyzed after one thaw-freeze cycle, showed best discriminative accuracy for differentiation of IBD and HC. VOC profiles and diagnostic accuracy were significantly affected by sampling conditions, underlining the need for implementation of standardized protocols in fecal VOC analysis

    Preclinical detection of non-catheter related late-onset sepsis in preterm infants by fecal volatile compounds analysis : a prospective, multi-center cohort study

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    Background: Late onset sepsis (LOS) in preterm infants is preceded by fecal volatile organic compound (VOC) alterations, suggesting an etiological role of gut microbiota in LOS rather than being primarily caused by central venous catheters (CVC). To increase our knowledge about the involvement of the gut microbiota in LOS, we analyzed fecal samples from septic infants without a CVC. Methods: In this prospective multicenter study, fecal samples were collected daily from all infants born at ≤30 weeks gestation. Fecal VOC profiles up to 3 days prior to sepsis onset from infants with non-catheter–related LOS were compared with profiles from non-septic controls by means of High-Field Asymmetric Waveform Ion Mobility Spectrometry. Results: In total, 104 fecal samples were analyzed. Fecal VOC profiles allowed for discrimination between non-catheter–related LOS cases (n = 24) and matched controls (n = 25). Discriminative accuracy increased after focusing on center of origin (area under the curve, sensitivity, specificity; 0.95, 100%, 83%) and after focusing on LOS cases caused by Staphylococcus epidermidis (0.95, 100%, 78%), the most cultured pathogen (n = 11). Conclusions: Fecal VOC profiles of preterm LOS infants without a CVC differed from matched controls underlining the increasing notion that aberrations in gut microbiota composition and activity may play a role in LOS etiology

    Een vrouw met tropische ulcera.

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    A 67-year-old woman had multiple ulcers due to cutaneous diphtheria, following a trip to the Philippines

    Why not to pick your nose:Association between nose picking and SARS-CoV-2 incidence, a cohort study in hospital health care workers

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    BACKGROUND: Hospital health care workers (HCW) are at increased risk of contracting SARS-CoV-2. We investigated whether certain behavioral and physical features, e.g. nose picking and wearing glasses, are associated with infection risk. AIM: To assess the association between nose picking and related behavioral or physical features (nail biting, wearing glasses, and having a beard) and the incidence of SARS-CoV-2-infection. METHODS: In a cohort study among 404 HCW in two university medical centers in the Netherlands, SARS-CoV-2-specific antibodies were prospectively measured during the first phase of the pandemic. For this study HCW received an additional retrospective survey regarding behavioral (e.g. nose picking) and physical features. RESULTS: In total 219 HCW completed the survey (response rate 52%), and 34/219 (15.5%) became SARS-CoV-2 seropositive during follow-up from March 2020 till October 2020. The majority of HCW (185/219, 84.5%) reported picking their nose at least incidentally, with frequency varying between monthly, weekly and daily. SARS-CoV-2 incidence was higher in nose picking HCW compared to participants who refrained from nose picking (32/185: 17.3% vs. 2/34: 5.9%, OR 3.80, 95% CI 1.05 to 24.52), adjusted for exposure to COVID-19. No association was observed between nail biting, wearing glasses, or having a beard, and the incidence of SARS-CoV-2 infection. CONCLUSION: Nose picking among HCW is associated with an increased risk of contracting a SARS-CoV-2 infection. We therefore recommend health care facilities to create more awareness, e.g. by educational sessions or implementing recommendations against nose picking in infection prevention guidelines.</p

    Hepatosplenic candidiasis without prior documented candidemia: An underrecognized diagnosis?

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    Introduction. Patients with a history of chemotherapy or stem cell transplantation (SCT) and prolonged neutropenia are at risk for hepatic and/or splenic seeding of Candida. In our experience, hepatosplenic candidiasis (HSC) without documented candidemia often remains unrecognized. Case presentations.We describe three cases of HSC without documented candidemia and the challenges in establishing the diagnosis and adequately treating this condition. The first patient had a history of SCT for treatment of breast cancer and was scheduled for hemihepatectomy for suspected liver metastasis. A second opinion at our institute resulted in the diagnosis of hepatic candidiasis without prior documented candidemia, for which she was treated successfully with fluconazole. The second case demonstrates the limitations of (blood and tissue) cultures and the value of molecular methods to confirm the diagnosis. Case 3 illustrates treatment challenges, with ongoing dissemination and insufficient source control despite months of antifungal therapy, eventually resulting in a splenectomy. Literature review. A structured literature search was performed for articles describing any patient with HSC and documented blood culture results. Thirty articles were available for extraction of data on candidemia and HSC. Seventy percent (131/187) of patients with HSC did not have documented candidemia. The majority of HSC events were described in hematologic patients, although some cases were described in patients with solid tumors treated with SCT (n51) or chemotherapy and a history of leukopenia (n52). Current guidelines and practices for diagnosis and treatment are described. Conclusion. Clinicians should be aware that HSC most often occurs without documented candidemia. In case of persistent or unexplained fever or lesions in the liver and/or spleen, a history of neutropenia should place disseminated candidiasis in the differential diagnosis. HSC is not limited to hematological patients and may occur in patients with solid tumors treated with bone marrow-suppressing chemotherapy or SCT. In the latter group, HSC as alternative diagnosis for hepatic metastasis should be considered when lesions are not typical for metastasis. This might prevent unnecessary surgery or inappropriate treatment

    Rapid, accurate, and on-site detection of C. difficile in stool samples

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    OBJECTIVES: A rapid test to diagnose Clostridium difficile infection (CDI) on hospital wards could minimize common but critical diagnostic delay. Field asymmetric ion mobility spectrometry (FAIMS) is a portable mass spectrometry instrument that quickly analyses the chemical composition of gaseous mixtures (e.g., above a stool sample). Can FAIMS accurately distinguish C. difficile-positive from -negative stool samples? METHODS: We analyzed 213 stool samples with FAIMS, of which 71 were C. difficile positive by microbiological analysis. The samples were divided into training, test, and validation samples. We used the training and test samples (n=135) to identify which sample characteristics discriminate between positive and negative samples, and to build machine learning algorithms interpreting these characteristics. The best performing algorithm was then prospectively validated on new, blinded validation samples (n=78). The predicted probability of CDI (as calculated by the algorithm) was compared with the microbiological test results (direct toxin test and culture). RESULTS: Using a Random Forest classification algorithm, FAIMS had a high discriminatory ability on the training and test samples (C-statistic 0.91 (95% confidence interval (CI): 0.86–0.97)). When applied to the blinded validation samples, the C-statistic was 0.86 (0.75–0.97). For samples analyzed ≤7 days of collection (n=76), diagnostic accuracy was even higher (C-statistic: 0.93 (0.85–1.00)). A cutoff value of 0.32 for predicted probability corresponded with a sensitivity of 92.3% (95% CI: 77.4–98.6%) and specificity of 86.0% (78.3–89.3%). For even fresher samples, discriminatory ability further increased. CONCLUSIONS: FAIMS analysis of unprocessed stool samples can differentiate between C. difficile-positive and -negative samples with high diagnostic accuracy
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