MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis

Jean Bousquet; Holger J. Schünemann; Peter W. Hellings; Sylvie Arnavielhe; Claus Bachert; Anna Bedbrook; Karl-Christian Bergmann; Sinthia Bosnic-Anticevich; Jan Brozek; Moises Calderon; G. Walter Canonica; Thomas B. Casale; Niels H. Chavannes; Linda Cox; Henry Chrystyn; Alvaro A. Cruz; Ronald Dahl; Giuseppe De Carlo; Pascal Demoly; Phillipe Devillier; Gérard Dray; Monica Fletcher; Wytske J. Fokkens; Joao Fonseca; Sandra N. Gonzalez-Diaz; Lawrence Grouse; Thomas Keil; Piotr Kuna; Désirée Larenas-Linnemann; Karin C. Lodrup Carlsen; Eli O. Meltzer; Jaoquim Mullol; Antonella Muraro; Robert N. Naclerio; Susanna Palkonen; Nikolaos G. Papadopoulos; Giovanni Passalacqua; David Price; Dermot Ryan; Boleslaw Samolinski; Glenis K. Scadding; Aziz Sheikh; François Spertini; Arunas Valiulis; Erkka Valovirta; Samantha Walker; Magnus Wickman; Arzu Yorgancioglu; Tari Haahtela; Torsten Zuberbier; MASK study group*

doi:10.1016/j.jaci.2016.03.025

MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis

Jean Bousquet
, Holger J. Schünemann
, Peter W. Hellings
, Sylvie Arnavielhe
, Claus Bachert
, Anna Bedbrook
, Karl-Christian Bergmann
, Sinthia Bosnic-Anticevich
, Jan Brozek
, Moises Calderon
, G. Walter Canonica
, Thomas B. Casale
, Niels H. Chavannes
, Linda Cox
, Henry Chrystyn
, Alvaro A. Cruz
, Ronald Dahl
, Giuseppe De Carlo
, Pascal Demoly
, Phillipe Devillier

Gérard Dray, Monica Fletcher, Wytske J. Fokkens, Joao Fonseca, Sandra N. Gonzalez-Diaz, Lawrence Grouse, Thomas Keil, Piotr Kuna, Désirée Larenas-Linnemann, Karin C. Lodrup Carlsen, Eli O. Meltzer, Jaoquim Mullol, Antonella Muraro, Robert N. Naclerio, Susanna Palkonen, Nikolaos G. Papadopoulos, Giovanni Passalacqua, David Price, Dermot Ryan, Boleslaw Samolinski, Glenis K. Scadding, Aziz Sheikh, François Spertini, Arunas Valiulis, Erkka Valovirta, Samantha Walker, Magnus Wickman, Arzu Yorgancioglu, Tari Haahtela, Torsten Zuberbier, MASK study group*

University Hospital, Montpellier
MACVIA-LR, European Innovation Partnership on Active and Healthy Ageing Reference Site
McMaster University
KU Leuven
Kyomed, Montpellier
Ghent University Hospital
Charité – Universitätsmedizin Berlin
Global Allergy and Asthma European Network (GA2LEN)
University of Sydney and Sydney Local Health District
University of Genoa
University of South Florida
Leiden University Medical Centre
Nova Southeastern University
RiRL, Cambridge
Universidade Federal da Bahia
Odense University Hospital
EFA European Federation of Allergy and Airways Diseases Patients' Associations
Sorbonne Université
Suresnes Université Versailles Saint-Quentin
Ecole des Mines, Alès
EDUCATION FOR HEALTH
Academic Medical Center, Amsterdam
University of Porto
Universidad Autonoma de Nuevo Leon
University of Washington
University of Wuerzburg, Wuerzburg, Germany
Medical University of Łódź
Hospital Médica Sur
University of Oslo
Oslo University Hospital
Allergy and Asthma Medical Group and Research Center, San Diego
IDIBAPS - Unitat de Rinologia i Clínica de l'Olfacte
Padua General University Hospital
The University of Chicago
National and Kapodistrian University of Athens
Athens General Children's Hospital
Royal Manchester Children's Hospital
University of Manchester
Research in Real Life Ltd.
University of Edinburgh
Medical University of Warsaw
University College London
Centre Hospitalier Universitaire Vaudois (CHUV)
Vilnius University Clinic of Children's Diseases
University of Turku
Asthma UK
Sachs’ Children's Hospital
Karolinska Institutet
Manisa Celal Bayar University
GARD Executive Committee
Helsinki University Hospital
Institut national de la santé et de la recherche médicale
Observatoire de Versailles Saint-Quentin-en-Yvelines
Imperial College London

Research output: Contribution to journal › Article › peer-review

146 Citations (Scopus)

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Abstract

The selection of pharmacotherapy for patients with allergic rhinitis (AR) depends on several factors, including age, prominent symptoms, symptom severity, control of AR, patient preferences, and cost. Allergen exposure and the resulting symptoms vary, and treatment adjustment is required. Clinical decision support systems (CDSSs) might be beneficial for the assessment of disease control. CDSSs should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine treatment and its step-up or step-down strategy depending on AR control. Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR [fighting chronic diseases for active and healthy ageing]), one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (the MACVIA-ARIA Sentinel Network). A CDSS is currently being developed to optimize AR control. An algorithm developed by consensus is presented in this article. This algorithm should be confirmed by appropriate trials.

Original language	English
Pages (from-to)	367-374.e2
Number of pages	10
Journal	Journal of Allergy and Clinical Immunology
Volume	138
Issue number	2
Early online date	23 Apr 2016
DOIs	https://doi.org/10.1016/j.jaci.2016.03.025
Publication status	Published - Aug 2016

Keywords

Allergic rhinitis
conjunctivitis
Allergic Rhinitis and its Impact on Asthma
MACVIA-LR
information and communication technology
clinical decision support system

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10.1016/j.jaci.2016.03.025Licence: CC BY-NC-ND

MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis
2016 The Authors. Published by Elsevier Inc. on behalf of the American Academy of Allergy, Asthma & Immunology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Final published version, 487 KBLicence: CC BY-NC-ND

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Bousquet, J., Schünemann, H. J., Hellings, P. W., Arnavielhe, S., Bachert, C., Bedbrook, A., Bergmann, K.-C., Bosnic-Anticevich, S., Brozek, J., Calderon, M., Canonica, G. W., Casale, T. B., Chavannes, N. H., Cox, L., Chrystyn, H., Cruz, A. A., Dahl, R., De Carlo, G., Demoly, P., ... MASK study group* (2016). MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis. Journal of Allergy and Clinical Immunology, 138(2), 367-374.e2. https://doi.org/10.1016/j.jaci.2016.03.025

Bousquet, J, Schünemann, HJ, Hellings, PW, Arnavielhe, S, Bachert, C, Bedbrook, A, Bergmann, K-C, Bosnic-Anticevich, S, Brozek, J, Calderon, M, Canonica, GW, Casale, TB, Chavannes, NH, Cox, L, Chrystyn, H, Cruz, AA, Dahl, R, De Carlo, G, Demoly, P, Devillier, P, Dray, G, Fletcher, M, Fokkens, WJ, Fonseca, J, Gonzalez-Diaz, SN, Grouse, L, Keil, T, Kuna, P, Larenas-Linnemann, D, Lodrup Carlsen, KC, Meltzer, EO, Mullol, J, Muraro, A, Naclerio, RN, Palkonen, S, Papadopoulos, NG, Passalacqua, G, Price, D, Ryan, D, Samolinski, B, Scadding, GK, Sheikh, A, Spertini, F, Valiulis, A, Valovirta, E, Walker, S, Wickman, M, Yorgancioglu, A, Haahtela, T, Zuberbier, T & MASK study group* 2016, 'MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis', Journal of Allergy and Clinical Immunology, vol. 138, no. 2, pp. 367-374.e2. https://doi.org/10.1016/j.jaci.2016.03.025

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title = "MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis",

abstract = "The selection of pharmacotherapy for patients with allergic rhinitis (AR) depends on several factors, including age, prominent symptoms, symptom severity, control of AR, patient preferences, and cost. Allergen exposure and the resulting symptoms vary, and treatment adjustment is required. Clinical decision support systems (CDSSs) might be beneficial for the assessment of disease control. CDSSs should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine treatment and its step-up or step-down strategy depending on AR control. Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR [fighting chronic diseases for active and healthy ageing]), one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (the MACVIA-ARIA Sentinel Network). A CDSS is currently being developed to optimize AR control. An algorithm developed by consensus is presented in this article. This algorithm should be confirmed by appropriate trials.",

keywords = "Allergic rhinitis, conjunctivitis, Allergic Rhinitis and its Impact on Asthma, MACVIA-LR, information and communication technology, clinical decision support system",

author = "Jean Bousquet and Sch{\"u}nemann, \{Holger J.\} and Hellings, \{Peter W.\} and Sylvie Arnavielhe and Claus Bachert and Anna Bedbrook and Karl-Christian Bergmann and Sinthia Bosnic-Anticevich and Jan Brozek and Moises Calderon and Canonica, \{G. Walter\} and Casale, \{Thomas B.\} and Chavannes, \{Niels H.\} and Linda Cox and Henry Chrystyn and Cruz, \{Alvaro A.\} and Ronald Dahl and \{De Carlo\}, Giuseppe and Pascal Demoly and Phillipe Devillier and G{\'e}rard Dray and Monica Fletcher and Fokkens, \{Wytske J.\} and Joao Fonseca and Gonzalez-Diaz, \{Sandra N.\} and Lawrence Grouse and Thomas Keil and Piotr Kuna and D{\'e}sir{\'e}e Larenas-Linnemann and \{Lodrup Carlsen\}, \{Karin C.\} and Meltzer, \{Eli O.\} and Jaoquim Mullol and Antonella Muraro and Naclerio, \{Robert N.\} and Susanna Palkonen and Papadopoulos, \{Nikolaos G.\} and Giovanni Passalacqua and David Price and Dermot Ryan and Boleslaw Samolinski and Scadding, \{Glenis K.\} and Aziz Sheikh and Fran{\c c}ois Spertini and Arunas Valiulis and Erkka Valovirta and Samantha Walker and Magnus Wickman and Arzu Yorgancioglu and Tari Haahtela and Torsten Zuberbier and \{MASK study group*\}",

year = "2016",

month = aug,

doi = "10.1016/j.jaci.2016.03.025",

language = "English",

volume = "138",

pages = "367--374.e2",

journal = "Journal of Allergy and Clinical Immunology",

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AU - Bousquet, Jean

AU - Schünemann, Holger J.

AU - Hellings, Peter W.

AU - Arnavielhe, Sylvie

AU - Bachert, Claus

AU - Bedbrook, Anna

AU - Bergmann, Karl-Christian

AU - Bosnic-Anticevich, Sinthia

AU - Brozek, Jan

AU - Calderon, Moises

AU - Canonica, G. Walter

AU - Casale, Thomas B.

AU - Chavannes, Niels H.

AU - Cox, Linda

AU - Chrystyn, Henry

AU - Cruz, Alvaro A.

AU - Dahl, Ronald

AU - De Carlo, Giuseppe

AU - Demoly, Pascal

AU - Devillier, Phillipe

AU - Dray, Gérard

AU - Fletcher, Monica

AU - Fokkens, Wytske J.

AU - Fonseca, Joao

AU - Gonzalez-Diaz, Sandra N.

AU - Grouse, Lawrence

AU - Keil, Thomas

AU - Kuna, Piotr

AU - Larenas-Linnemann, Désirée

AU - Lodrup Carlsen, Karin C.

AU - Meltzer, Eli O.

AU - Mullol, Jaoquim

AU - Muraro, Antonella

AU - Naclerio, Robert N.

AU - Palkonen, Susanna

AU - Papadopoulos, Nikolaos G.

AU - Passalacqua, Giovanni

AU - Price, David

AU - Ryan, Dermot

AU - Samolinski, Boleslaw

AU - Scadding, Glenis K.

AU - Sheikh, Aziz

AU - Spertini, François

AU - Valiulis, Arunas

AU - Valovirta, Erkka

AU - Walker, Samantha

AU - Wickman, Magnus

AU - Yorgancioglu, Arzu

AU - Haahtela, Tari

AU - Zuberbier, Torsten

AU - MASK study group

PY - 2016/8

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N2 - The selection of pharmacotherapy for patients with allergic rhinitis (AR) depends on several factors, including age, prominent symptoms, symptom severity, control of AR, patient preferences, and cost. Allergen exposure and the resulting symptoms vary, and treatment adjustment is required. Clinical decision support systems (CDSSs) might be beneficial for the assessment of disease control. CDSSs should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine treatment and its step-up or step-down strategy depending on AR control. Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR [fighting chronic diseases for active and healthy ageing]), one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (the MACVIA-ARIA Sentinel Network). A CDSS is currently being developed to optimize AR control. An algorithm developed by consensus is presented in this article. This algorithm should be confirmed by appropriate trials.

AB - The selection of pharmacotherapy for patients with allergic rhinitis (AR) depends on several factors, including age, prominent symptoms, symptom severity, control of AR, patient preferences, and cost. Allergen exposure and the resulting symptoms vary, and treatment adjustment is required. Clinical decision support systems (CDSSs) might be beneficial for the assessment of disease control. CDSSs should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine treatment and its step-up or step-down strategy depending on AR control. Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR [fighting chronic diseases for active and healthy ageing]), one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (the MACVIA-ARIA Sentinel Network). A CDSS is currently being developed to optimize AR control. An algorithm developed by consensus is presented in this article. This algorithm should be confirmed by appropriate trials.

KW - Allergic rhinitis

KW - conjunctivitis

KW - Allergic Rhinitis and its Impact on Asthma

KW - MACVIA-LR

KW - information and communication technology

KW - clinical decision support system

U2 - 10.1016/j.jaci.2016.03.025

DO - 10.1016/j.jaci.2016.03.025

M3 - Article

C2 - 27260321

SN - 0091-6749

VL - 138

SP - 367-374.e2

JO - Journal of Allergy and Clinical Immunology

JF - Journal of Allergy and Clinical Immunology

IS - 2

ER -

MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis

Abstract

Keywords

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