Eva Suarthana

Chercheuse régulière
Hôpital du Sacré-Cœur-de-Montréal

Professeur adjoint au Département de médecine sociale et préventive, École de santé publique, Université de Montréal

Adjunct Professor, Department of Obstetrics and Gynecology, McGill University

I have strong interests in epidemiology and public health, especially occupational and women's health. My diverse interests have developed from my education and work experience in Canada, Indonesia, the Netherlands, and the United States.

12/04-6/08 Ph.D. Thesis: Predicting occupational lung disease
Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.

09/02-06/03 M.Sc. in Clinical epidemiology
Netherlands Institute for Health Sciences, Rotterdam, the Netherlands.

08/95-09/01 M.D.
University of Indonesia, Faculty of Medicine, Jakarta, Indonesia

1. Suarthana E, Meijer E, Grobbee DE, Heederik D. Predicting occupational diseases. Occup Environ Med. 2009;66(11):713-714.
2. Suarthana E, Vergouwe Y, Moons KGM, Grobbee DE, de Monchy J, Heederik D, Meijer E. A diagnostic model for detection of sensitization to wheat allergens was developed and validated in bakery workers. J Clin Epidemiol. 2010 Sep;63(9):1011-1019
3. Meijer E, Suarthana E, de Monchy J, van Rooy F, Rooijackers J, Meijster T, Jacobs J, van Otterloo E, Spithoven J, Zaat V, Grobbee DE, Heederik D. Application of a prediction model for work-related sensitization in bakery workers. Eur Respir J. 2010;36:735-742

My doctoral project was a national surveillance program for early detection of occupational allergic diseases in Dutch bakers. I developed a diagnostic model that is currently used as a screening tool in medical surveillance for Dutch bakers. Our work was adopted by the European Respiratory Society Task Force on the management of work related asthma.

4. Taghiakbari M, Pralong J, Lemiere C, Saha-Chaudhuri P, Moullec G, Cartier A, Castano R, Suarthana E. Novel Clinical Scores for Diagnosing Occupational Asthma Induced by High Molecular Weight Agents. Occup Environ Med. 2019 Apr 20. pii: oemed-2018-105593. doi: 10.1136/oemed-2018-105593. [Epub ahead of print] Review.

5. Suarthana E, Taghiakbari M, Saha-Chaudhuri P, Rifflart C, Suojalehto H, Hölttä P, Walusiak-Skorupa J, Wiszniewska M, Muñoz X, Romero-Mesones C, Sastre J, J. Rial M, Henneberger P, Vandenplas O. When population gets in the way: A lesson in generalization of prediction model for occupational asthma. Under review for publication in the International Archives of Occupational and Environmental Health Journal

In a pilot project we developed diagnostic models for occupational asthma for workers exposed to high-molecular weight agents (mostly proteins) in Canadian data and externally validated them in European data. The project won the best poster presentation at the Jakarta International Chest Critical Care and Internal Medicine in Indonesia and a travel award from the RSR-FRQS. The Canadian Institute for Health Research awarded a Project Grant to Dr. Suarthana to lead an international team to develop and validate models in workers exposed to low-molecular weight agents (mostly chemicals). For knowledge transfer, the models will be transformed into calculator (“OccAsthma”) and made available in Web and mobile versions.

Google Scholar Suarthana

Invited speaker. Session: Algorithms to Identify Work-related Asthma in Clinical Settings. The 2019 American Occupational Health Conference, Anaheim, California, United States