| Allergy, Asthma and Immunology
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Serum eosinophil-derived neurotoxin: a new promising biomarker for cow’s milk allergy diagnosis.
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por iva...@gmail.com May 28, 2024
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Bahbah, W.A., Abo Hola, A.S., Bedair, H.M. et al. Pediatr Res (2024). https://doi.org/10.1038/s41390-024-03260-x Abstract Background Cow’s Milk Allergy (CMA) diagnosis is often a challenge due to the non-specific nature of symptoms and lack of a confirmatory diagnostic test. To our knowledge no previous studies investigated serum Eosinophil-Derived Neurotoxin (sEDN) in CMA. So, we aimed to assess the role of sEDN in CMA diagnosis. Methods Forty-five infants with CMA were compared to 45 infants with functional gastrointestinal disorders (FGIDs) and 45 healthy controls. For all participants, Cow’s Milk-related Symptom Score (CoMiSS) was documented, and sEDN level with hematological parameters were measured before starting elimination diet. Results  | | Serum Eosinophil-Derived Neurotoxin level among the 3 studied groups. |
Receiver operation characteristic (ROC) curve identified sEDN > 14 ng/mL and CoMiSS > 9 as the optimal cut-off points to discriminate CMA from other groups with sensitivity 86.67%, 97.78% and specificity 60.00%, 78.89% respectively. Additionally, absolute neutrophil count (ANC) showed the highest sensitivity and specificity (80.0% and 78.89%) among hematological parameters. Although CoMiSS and ANC showed a significant positive correlation with sEDN in CMA group, CoMiSS was the only significant predictor for sEDN in multivariate linear regression...
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Factors Affecting Usage of a Digital Asthma Monitoring Application by Old-Age Asthmatics Living in Inner Central Portugal
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por iva...@gmail.com May 28, 2024
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Abreu MIT, Santos AF, Gama JMR, Valente S, Valente MJ, Pereira H, Regateiro F, Sousa-Pinto B, Ventura MT, Bousquet J, Taborda-Barata L. Clin Interv Aging. 2024;19:971-979 Purpose: To analyse factors affecting the ability to use the digital asthma monitoring application Mask-Air® in old-age individuals living in inland Portugal. Patients and Methods: In this observational study, patients with medically confirmed asthma who agreed to participate were interviewed and subdivided into Non-users Group: those who could not use the application and Users Group: those who could. Sociodemographic and psychological data, comorbidities, and asthma status were compared between groups. Assessment of reasons for refusal was based on a 6-item questionnaire.
 | Reasons for not using MASK-Air App by Non-users Group asthmatics.
Most frequent reasons given by Non-users Group (44 patients) for not using
MASK-air;these results show lack of possibility to use the App versus not
wanting to use the App (A).
Venn diagram showing specific reasons and combinations of reasons
given by Non-users Group (44 patients) for not using MASK-Air App (B) |
Results: Among the 72 sequentially recruited patients (mean age±SD 73.26± 5.43 yrs; 61 women; 11 men), 44 (61.1%; mean age±SD 74.64± 5.68 yrs; 38 women; 6 men)) were included in Non-users Group and 28 (38.9%; mean age±SD 71.11± 4.26 yrs; 23 women; 5 men) in Users Group. Non-users Group patients were significantly older, had lower socioeconomic level, and more frequently had severe asthma (25% vs 3.6%; Odds ratio=0.08 (95% CI=0.01– 0.81; p=0.033)) and diabetes (32.6% vs 7.4%; Odds ratio=0.17 (95% CI=0.03– 0.80; p=0.025)) than Users Group...
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