Allergy, Asthma and Immunology - nuevo mensaje

Skip to first unread message

May 29, 2024, 8:03:32 AMMay 29

Allergy, Asthma and Immunology
Serum eosinophil-derived neurotoxin: a new promising biomarker for cow’s milk allergy diagnosis.
por May 28, 2024

Bahbah, W.A., Abo Hola, A.S., Bedair, H.M. et al.  Pediatr Res (2024).



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.


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.


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...

Continuar Leyendo
Factors Affecting Usage of a Digital Asthma Monitoring Application by Old-Age Asthmatics Living in Inner Central Portugal
por May 28, 2024

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...

Continuar Leyendo

Reply all
Reply to author
0 new messages