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Record W3143244237 · doi:10.1111/all.14838

Management of anaphylaxis due to COVID‐19 vaccines in the elderly

2021· article· en· W3143244237 on OpenAlexaff
Jean Bousquet, Ioana Agache, Hubert Blain, Marek Jutel, Maria Teresa Ventura, Margitta Worm, Stefano Del Giacco, Athanasios Benetos, Beatrice M Bilò, Amir Hamzah Abdul Latiff, Elizabeth Angier, Isabella Annesi‐Maesano, Marina Atanasković‐Marković, Claus Bachert, A. Barbaud, Anna Bedbrook, Kazi Saifuddin Bennoor, Camelia Elena Berghea, Carsten Bindslev‐Jensen, С. Бонини, Sinthia Bosnic‐Anticevich, Knut Brockow, Luisa Brussino, Paulo Augusto Moreira Camargos, Giorgio Walter Canonica, Victória Cardona, Pedro Martins, Ana Carriazo, Thomas B. Casale, Jean‐Christoph Caubet, Lorenzo Cecchi, Antonio Cherubini, George Christoff, Derek K. Chu, Álvaro A. Cruz, Dejan Dokic, Yehia El‐Gamal, Motohiro Ebisawa, Bernadette Eberlein, John Farrell, Montserrat Fernández‐Rivas, Wytske J. Fokkens, João Fonseca, Yadong Gao, G. Gavazzi, Radosław Gawlik, Aslı Gelincik, Bilun Gemicioğlu, Maia Gotua, Olivier Guérin, Tari Haahtela, Karin Hoffmann‐Sommergruber, Hans Jürgen Hoffmann, Maja A. Hofmann, M Hrubiško, Maddalena Illario, Carla Irani, Zhanat Ispayeva, Juan Carlos Ivancevich, Kaja Julge, Ігор Петрович Кайдашев, Musa Khaitov, Edward F. Knol, Helga Kraxner, Piotr Kuna, Violeta Kvedarienė, Antti Lauerma, Lan Le, Vincent Le Moing, Michael Levin, Renaud Louis, Olga Lourenço, Vera Mahler, Finbarr C. Martin, Andrea Matucci, Branislava Milenković, Stéphanie Miot, Emma Montella, Mário Morais‐Almeida, Charlotte G. Mørtz, Joaquim Mullol, Leyla S. Namazova-Baranova, Hugo Neffen, K Nékám, Marek Niedoszytko, Mikaëla Odemyr, Robyn E. O’Hehir, Yoshitaka Okamoto, Markus Ollert, Óscar Palomares, Nikolaos G. Papadopoulos, Petr Panzner, Giovanni Passalacqua, Vincenzo Patella, Mirko Petrović, Oliver Pfaar, N. Pham‐Thi, Davor Plavec, Todor A. Popov, Marysia Recto, Frederico S. Regateiro, Jacques Reynes, R Roller-Winsberger, Yves Rolland, Antonino Romano, Carmen Rondón, Menachem Rottem, Philip W. Rouadi, Nathalie Salles, Bolesław Samoliński, Alexandra F. Santos, Faradiba Serpa Sarquis, J. Sastre, Jos M. G. A. Schols, Nicola Scichilone, Anna Šedivá, Mohamed H. Shamji, Aziz Sheikh, Isabel Skypala, Sylwia Smolińska, Milena Sokołowska, Bernardo Sousa‐Pinto, Milan Sova, Rafaël Stelmach, Gunter J. Sturm, Charlotte Suppli Ulrik, Ana Todo‐Bom, Sanna Toppila‐Salmi, Ioanna Tsiligianni, Marı́a José Torres, Eva Untersmayr, Marilyn Urrutia Pereira, Arūnas Valiulis, Joana Vitte, Alessandra Vultaggio, Dana Wallace, Jolanta Walusiak‐Skorupa, De‐yun Wang, Susan Waserman, Arzu Yorgancıoğlu, Osman Yusuf, Mario Zernotti, Mihaela Zidarn, Tomás Chivato, Cezmi A. Akdiş, Torsten Zuberbier, Ludger Klimek

Bibliographic record

VenueAllergy · 2021
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsMcMaster UniversityImpact
FundersEuropean Geriatric Medicine SocietyEuropean Academy of Allergy and Clinical ImmunologyAdvanced Research and Invention Agency
KeywordsMedicineAnaphylaxisAsthmaAllergyCoronavirus disease 2019 (COVID-19)PediatricsIntensive care medicineImmunologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Older adults, especially men and/or those with diabetes, hypertension, and/or obesity, are prone to severe COVID-19. In some countries, older adults, particularly those residing in nursing homes, have been prioritized to receive COVID-19 vaccines due to high risk of death. In very rare instances, the COVID-19 vaccines can induce anaphylaxis, and the management of anaphylaxis in older people should be considered carefully. An ARIA-EAACI-EuGMS (Allergic Rhinitis and its Impact on Asthma, European Academy of Allergy and Clinical Immunology, and European Geriatric Medicine Society) Working Group has proposed some recommendations for older adults receiving the COVID-19 vaccines. Anaphylaxis to COVID-19 vaccines is extremely rare (from 1 per 100,000 to 5 per million injections). Symptoms are similar in younger and older adults but they tend to be more severe in the older patients. Adrenaline is the mainstay treatment and should be readily available. A flowchart is proposed to manage anaphylaxis in the older patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.318
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2021
Admission routes1
Has abstractyes

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