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Your search keyword '"Clausen, Michael"' showing total 6 results
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6 results on '"Clausen, Michael"'

1. Development and validation of the food allergy severity score

Author

Fernández‐Rivas, Montserrat, primary, Gómez García, Ismael, additional, Gonzalo‐Fernández, Alejandro, additional, Fuentes Ferrer, Manuel, additional, Dölle‐Bierke, Sabine, additional, Marco‐Martín, Guadalupe, additional, Ballmer‐Weber, Barbara K., additional, Asero, Riccardo, additional, Belohlavkova, Simona, additional, Beyer, Kirsten, additional, de Blay, Frédéric, additional, Clausen, Michael, additional, Datema, Mareen R., additional, Dubakiene, Ruta, additional, Grimshaw, Kate E. C., additional, Hoffmann‐Sommergruber, Karin, additional, Hourihane, Jonathan O’B, additional, Jedrzejczak‐Czechowicz, Monika, additional, Knulst, André C., additional, Kralimarkova, Tanya, additional, Le, Thuy‐My, additional, Papadopoulos, Nikolaos G., additional, Popov, Todor A., additional, Poulsen, Lars K., additional, Purohit, Ashok, additional, Seneviratne, Suranjith L., additional, Simpson, Angela, additional, Sinaniotis, Atanasios, additional, Turkalji, Mirjana, additional, Vázquez‐Cortés, Sonia, additional, Vera‐Berrios, Rosialzira N., additional, Muraro, Antonella, additional, Worm, Margitta, additional, Roberts, Graham, additional, van Ree, Ronald, additional, Fernández‐Pérez, Cristina, additional, Turner, Paul J., additional, and Mills, Elizabeth N. Clare, additional

Published
2021
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2. Prevalence and early‐life risk factors of school‐age allergic multimorbidity: The EuroPrevall‐iFAAM birth cohort

Author

Sigurdardottir, Sigurveig T., primary, Jonasson, Kristjan, additional, Clausen, Michael, additional, Lilja Bjornsdottir, Kristin, additional, Sigurdardottir, Sigridur Erla, additional, Roberts, Graham, additional, Grimshaw, Kate, additional, Papadopoulos, Nikolaos G., additional, Xepapadaki, Paraskevi, additional, Fiandor, Ana, additional, Quirce, Santiago, additional, Sprikkelman, Aline B., additional, Hulshof, Lies, additional, Kowalski, Marek L., additional, Kurowski, Marcin, additional, Dubakiene, Ruta, additional, Rudzeviciene, Odilija, additional, Bellach, Johanna, additional, Yürek, Songül, additional, Reich, Andreas, additional, Erhard, Sina Maria, additional, Couch, Philip, additional, Rivas, Montserrat Fernandez, additional, van Ree, Ronald, additional, Mills, Clare, additional, Grabenhenrich, Linus, additional, Beyer, Kirsten, additional, and Keil, Thomas, additional

Published
2021
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3. Development and validation of the food allergy severity score.

Author

Fernández‐Rivas, Montserrat, Gómez García, Ismael, Gonzalo‐Fernández, Alejandro, Fuentes Ferrer, Manuel, Dölle‐Bierke, Sabine, Marco‐Martín, Guadalupe, Ballmer‐Weber, Barbara K., Asero, Riccardo, Belohlavkova, Simona, Beyer, Kirsten, de Blay, Frédéric, Clausen, Michael, Datema, Mareen R., Dubakiene, Ruta, Grimshaw, Kate E. C., Hoffmann‐Sommergruber, Karin, Hourihane, Jonathan O'B, Jedrzejczak‐Czechowicz, Monika, Knulst, André C., and Kralimarkova, Tanya

Subjects
FOOD allergy, ALLERGIES, RECEIVER operating characteristic curves, LOGISTIC regression analysis, THERAPEUTICS
Abstract

Background: The heterogeneity and lack of validation of existing severity scores for food allergic reactions limit standardization of case management and research advances. We aimed to develop and validate a severity score for food allergic reactions. Methods: Following a multidisciplinary experts consensus, it was decided to develop a food allergy severity score (FASS) with ordinal (oFASS) and numerical (nFASS) formats. oFASS with 3 and 5 grades were generated through expert consensus, and nFASS by mathematical modeling. Evaluation was performed in the EuroPrevall outpatient clinic cohort (8232 food reactions) by logistic regression with request of emergency care and medications used as outcomes. Discrimination, classification, and calibration were calculated. Bootstrapping internal validation was followed by external validation (logistic regression) in 5 cohorts (3622 food reactions). Correlation of nFASS with the severity classification done by expert allergy clinicians by Best‐Worst Scaling of 32 food reactions was calculated. Results: oFASS and nFASS map consistently, with nFASS having greater granularity. With the outcomes emergency care, adrenaline and critical medical treatment, oFASS and nFASS had a good discrimination (receiver operating characteristic area under the curve [ROC‐AUC]>0.80), classification (sensitivity 0.87–0.92, specificity 0.73–0.78), and calibration. Bootstrapping over ROC‐AUC showed negligible biases (1.0 × 10−6–1.23 × 10−3). In external validation, nFASS performed best with higher ROC‐AUC. nFASS was strongly correlated (R 0.89) to best‐worst scoring of 334 expert clinicians. Conclusion: FASS is a validated and reliable method to measure severity of food allergic reactions. The ordinal and numerical versions that map onto each other are suitable for use by different stakeholders in different settings. [ABSTRACT FROM AUTHOR]

Published
2022
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4. Predicting food allergy: The value of patient history reinforced

Author

Lyons, Sarah A., primary, Knulst, André C., additional, Burney, Peter G. J., additional, Fernandez‐Rivas, Montserrat, additional, Ballmer‐Weber, Barbara K., additional, Barreales, Laura, additional, Bieli, Christian, additional, Clausen, Michael, additional, Dubakiene, Ruta, additional, Fernandez‐Perez, Cristina, additional, Jedrzejczak‐Czechowicz, Monika, additional, Kowalski, Marek L., additional, Kummeling, Ischa, additional, Kralimarkova, Tanya, additional, Mustakov, Tihomir B., additional, Os‐Medendorp, Harmieke, additional, Papadopoulos, Nikolaos G., additional, Popov, Todor A., additional, Potts, James, additional, Versteeg, Serge A., additional, Xepapadaki, Paraskevi, additional, Welsing, Paco M. J., additional, Mills, Clare, additional, Ree, Ronald, additional, and Le, Thuy‐My, additional

Published
2020
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5. Frequency of food allergy in school‐aged children in eight European countries—The EuroPrevall‐iFAAM birth cohort

Author

Grabenhenrich, Linus, primary, Trendelenburg, Valérie, additional, Bellach, Johanna, additional, Yürek, Songül, additional, Reich, Andreas, additional, Fiandor, Ana, additional, Rivero, Daniela, additional, Sigurdardottir, Sigurveig, additional, Clausen, Michael, additional, Papadopoulos, Nikolaos G., additional, Xepapadaki, Paraskevi, additional, Sprikkelman, Aline B., additional, Dontje, Bianca, additional, Roberts, Graham, additional, Grimshaw, Kate, additional, Kowalski, Marek L., additional, Kurowski, Marcin, additional, Dubakiene, Ruta, additional, Rudzeviciene, Odilija, additional, Fernández‐Rivas, Montserrat, additional, Couch, Philip, additional, Versteeg, Serge A., additional, Ree, Ronald, additional, Mills, Clare, additional, Keil, Thomas, additional, and Beyer, Kirsten, additional

Published
2020
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6. Predicting food allergy: The value of patient history reinforced.

Author

Lyons, Sarah A., Knulst, André C., Burney, Peter G. J., Fernandez‐Rivas, Montserrat, Ballmer‐Weber, Barbara K., Barreales, Laura, Bieli, Christian, Clausen, Michael, Dubakiene, Ruta, Fernandez‐Perez, Cristina, Jedrzejczak‐Czechowicz, Monika, Kowalski, Marek L., Kummeling, Ischa, Kralimarkova, Tanya, Mustakov, Tihomir B., Os‐Medendorp, Harmieke, Papadopoulos, Nikolaos G., Popov, Todor A., Potts, James, and Versteeg, Serge A.

Subjects
FOOD allergy, ADULTS, HISTORY of food, FERTILIZERS, DEMOGRAPHIC surveys, GASTROINTESTINAL hemorrhage
Abstract

Background: EAACI guidelines emphasize the importance of patient history in diagnosing food allergy (FA) and the need for studies investigating its value using standardized allergy‐focused questionnaires. Objective: To determine the contribution of reaction characteristics, allergic comorbidities and demographics to prediction of FA in individuals experiencing food‐related adverse reactions. Methods: Adult and school‐age participants in the standardized EuroPrevall population surveys, with self‐reported FA, were included. Penalized multivariable regression was used to assess the association of patient history determinants with "probable" FA, defined as a food‐specific case history supported by relevant IgE sensitization. Results: In adults (N = 844), reproducibility of reaction (OR 1.35 [95% CI 1.29‐1.41]), oral allergy symptoms (OAS) (4.46 [4.19‐4.75]), allergic rhinitis (AR) comorbidity (2.82 [2.68‐2.95]), asthma comorbidity (1.38 [1.30‐1.46]) and male sex (1.50 [1.41‐1.59]) were positively associated with probable FA. Gastrointestinal symptoms (0.88 [0.85‐0.91]) made probable FA less likely. The AUC of a model combining all selected predictors was 0.85 after cross‐validation. In children (N = 670), OAS (2.26 [2.09‐2.44]) and AR comorbidity (1.47 [CI 1.39‐1.55]) contributed most to prediction of probable FA, with a combined cross‐validation‐based AUC of 0.73. When focusing on plant foods, the dominant source of FA in adults, the pediatric model also included gastrointestinal symptoms (inverse association), and the AUC increased to 0.81. Conclusions: In both adults and school‐age children from the general population, reporting of OAS and of AR comorbidity appear to be the strongest predictors of probable FA. Patient history particularly allows for good discrimination between presence and absence of probable plant FA. [ABSTRACT FROM AUTHOR]

Published
2021
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