Literature DB >> 28314756

Predicting occupational asthma and rhinitis in bakery workers referred for clinical evaluation.

Badri Sadat Jonaid1,2, Jos Rooyackers1,3, Erik Stigter3, Lützen Portengen1, Esmeralda Krop1, Dick Heederik1.   

Abstract

BACKGROUND: Occupational allergic diseases are a major problem in some workplaces like in the baking industry. Diagnostic rules have been used in surveillance but not yet in the occupational respiratory clinic.
OBJECTIVE: To develop diagnostic models predicting baker's asthma and rhinitis among bakery workers at high risk of sensitisation to bakery allergens referred to a specialised clinic.
METHODS: As part of a medical surveillance programme, clinical evaluation was performed on 436 referred Dutch bakery workers at high risk for sensitisation to bakery allergens. Multivariable logistic regression analyses were developed to identify the predictors of onset of baker's asthma and rhinitis using a self-administered questionnaire and compared using a structured medical history. Performance of models was assessed by discrimination (area under the receiver operating characteristics curve) and calibration (Hosmer-Lemeshow test). Internal validity of the models was assessed by a bootstrapping procedure.
RESULTS: The prediction models included the predictors of work-related upper and lower respiratory symptoms, the presence of allergy and allergic symptoms, use of medication (last year), type of job, type of shift and working years with symptoms (≥10 years). The developed models derived from both self-administered questionnaire and the medical history showed a relatively good discrimination and calibration. The internal validity showed that the models developed had satisfactory discrimination. To improve calibrations of models, shrinkage factors were applied to model coefficients.
CONCLUSION: The probability of allergic asthma and rhinitis in referred bakers could be estimated by diagnostic models based on both a self-administered questionnaire and by taking a structured medical history. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  Bakery worker; baker’s asthma and rhinitis; diagnostic prediction modelling; sensitisation

Mesh:

Substances:

Year:  2017        PMID: 28314756     DOI: 10.1136/oemed-2016-103934

Source DB:  PubMed          Journal:  Occup Environ Med        ISSN: 1351-0711            Impact factor:   4.402


  5 in total

Review 1.  Prevention of baker's asthma.

Authors:  Mohamed F Jeebhay; Roslynn Baatjies
Journal:  Curr Opin Allergy Clin Immunol       Date:  2020-04

2.  Screening tools for work-related asthma and their diagnostic accuracy: a systematic review protocol.

Authors:  Ngamjit Kongsupon; Gareth I Walters; Peymané Adab; Rachel E Jordan
Journal:  BMJ Open       Date:  2022-09-23       Impact factor: 3.006

3.  Turkish Guideline for Diagnosis and Treatment of Allergic Rhinitis (ART).

Authors:  Mustafa Cenk Ecevit; Müge Özcan; İlknur Haberal Can; Emel Çadallı Tatar; Serdar Özer; Erkan Esen; Doğan Atan; Sercan Göde; Çağdaş Elsürer; Aylin Eryılmaz; Berna Uslu Coşkun; Zahide Mine Yazıcı; Mehmet Emre Dinç; Fatih Özdoğan; Kıvanç Günhan; Nagihan Bilal; Arzu Yasemin Korkut; Fikret Kasapoğlu; Bilge Türk; Ela Araz Server; Özlem Önerci Çelebi; Tuğçe Şimşek; Rauf Oğuzhan Kum; Mustafa Kemal Adalı; Erdem Eren; Nesibe Gül Yüksel Aslıer; Tuba Bayındır; Aslı Çakır Çetin; Ayşe Enise Göker; Işıl Adadan Güvenç; Sabri Köseoğlu; Gül Soylu Özler; Ethem Şahin; Aslı Şahin Yılmaz; Ceren Güne; Gökçe Aksoy Yıldırım; Bülent Öca; Mehmet Durmuşoğlu; Yunus Kantekin; Süay Özmen; Gözde Orhan Kubat; Serap Köybaşı Şanal; Emine Elif Altuntaş; Adin Selçuk; Haşmet Yazıcı; Deniz Baklacı; Atılay Yaylacı; Deniz Hancı; Sedat Doğan; Vural Fidan; Kemal Uygur; Nesil Keleş; Cemal Cingi; Bülent Topuz; Salih Çanakçıoğlu; Metin Önerci
Journal:  Turk Arch Otorhinolaryngol       Date:  2021-05

4.  A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models.

Authors:  Yaoqin Lu; Huan Yan; Lijiang Zhang; Jiwen Liu
Journal:  Comput Math Methods Med       Date:  2019-09-29       Impact factor: 2.238

5.  Upper and Lower Respiratory Signs and Symptoms in Workers Occupationally Exposed to Flour Dust.

Authors:  Maria Angiola Crivellaro; Giancarlo Ottaviano; Pietro Maculan; Alfonso Luca Pendolino; Liviano Vianello; Paola Mason; Francesco Gioffrè; Rosana Bizzotto; Bruno Scarpa; Edi Simoni; Laura Astolfi; Piero Maestrelli; Maria Luisa Scapellato; Mariella Carrieri; Andrea Trevisan
Journal:  Int J Environ Res Public Health       Date:  2020-09-27       Impact factor: 3.390

  5 in total

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