BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250805T104928EDT-39371oOUWv@132.216.98.100 DTSTAMP:20250805T144928Z DESCRIPTION:Title: When Population Gets in the Way: A Lesson in Generalizat ion of Canadian Prediction Models for Occupational Asthma in European Coun tries.\n\nAbstract: Eva Suarthana\, MD\, MSc\, PhD is an Assistant Profess or in the Department of Social and Preventive Medicine at the School of Pu blic Health\, Université de Montréal. She graduated from the Faculty of Me dicine\, University of Indonesia in Jakarta in 2001. Her interest in the p rediction studies began during her master’s studies in Clinical Epidemiolo gy at the Netherlands Institute for Health Sciences in Rotterdam\, the Net herlands. She continued her doctoral program with a thesis on “Predicting occupational lung diseases” at the Institute for Risk Assessment Sciences\ , University of Utrecht. For her doctoral project\, she developed diagnost ic model for detection of sensitization to wheat allergens that has been u tilized as a surveillance screening tool among Dutch bakers. She was among the few international health professionals selected to join the Epidemic Intelligence Service (EIS) Program within the Centers for Disease Control and Prevention (CDC)\, Atlanta\, USA. She had a 2-year assignment at the N ational Institute for Occupational Safety and Health (NIOSH)\, Division of Respiratory Disease Studies in Morgantown\, West Virginia\, U.S. Since Ja nuary 2012\, she has been working as a full-time researcher in the Chronic Disease division at the Hôpital du Sacré-Coeur de Montréal Research Cente r. Dr. Suarthana is a recipient of the Career Award (Junior 1) FRQ - IRSST in Health and Workplace Safety. In 2018 she was appointed as an Adjunct P rofessor in the Department of Obstetrics and Gynecology\, 9I Universit y. Publications: Google Scholar SuarthanaOBJECTIVE: Specific inhalation ch allenge (SIC) as the reference test for occupational asthma (OA) is only a vailable in a few centres worldwide. Diagnostic models of OA induced by hi gh-molecular-weight agents (HMW-induced OA) were developed in Canadian pop ulation with good accuracy and internal validity. We aimed to evaluate the generalizability of these models in European data. METHODS: OA was define d as positive SIC. Analysis was restricted to workers exposed to HMW agent s\, who still worked one month before SIC. We used databases from Belgium (n=164)\, Finland (n=112)\, Poland (n=156)\, Spain (n=41) (total=473 subje cts in all European data). Model-1 included age\, agent type\, the presenc e of rhinoconjunctivitis\, and inhaled corticosteroid use. Model-2 include d Model-1 items\, sensitization to occupational agents\, and non-specific bronchial hyperresponsiveness. The accuracy (discriminative ability and ca libration) of both models were evaluated in all European and country-speci fic data using different statistical methods. RESULTS: Except in Poland\, the associations between the predictors and OA as well as the diagnostic v alues of the objective tests in data from the individual European populati ons (validation sets) differed from Canadian data (development set). When all European data were merged\, these differences disappeared and this exp lained why the models performed with good accuracy without any adjustment in Poland and merged European data\, but not in the other country-specific populations. The area under the receiver operating characteristics curves (AUC) of Model-1 was 0.75\, 0.76\, and 0.66\, while the AUC of Model-2 wa s 0.89\, 0.92\, and 0.83 in Canadian\, Poland\, and all European data\, re spectively. CONCLUSION: We validated the models with high accuracy. Howeve r\, there were marked between-population discordances in model performance \, which justifies population-specific models rather than incorrectly usin g one general model.\n DTSTART:20190212T203000Z DTEND:20190212T213000Z LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue des Pins Ouest SUMMARY:Eva Suarthana\, MD\, MSc\, PhD\, Université de Montréal & 9I Un iversity URL:/mathstat/channels/event/eva-suarthana-md-msc-phd- universite-de-montreal-mcgill-university-294450 END:VEVENT END:VCALENDAR