Objective: Derive data on birth month-disease risk relationships from large healthcare organizations/hospitals and healthcare facilities across the United States of America and throughout the world. Integrative analysis will be performed using established climate models, and knowledge of environmental factors that vary by season and climate.

Rationale: Many studies on birth month-disease relationships exist in the epidemiology literature. However, these studies are plagued by publication and disease selection biases. Therefore, we developed a high-throughput algorithm that uses Electronic Health Record data recorded during the clinical encounter and uncovers diseases with statistically significant birth month dependencies. These relationships are thought to be due to environmental exposures that occurring during development (i.e., either prenatal or perinatal effects). We call our algorithm SeaWAS: Season-Wide Association Study. However it is a “phenome-wide” approach whereby it investigates relationships between all diseases recorded in the EHR and birth month (assuming certain prevalence thresholds are met). Our algorithm runs in R and uses the OMOP CDM. Therefore, we are interested in implementing a new study that uses the OHDSI research network to run our analyses at multiple sites with different environmental exposures. This should enable us to tease out the relationship between the environmental factor and its contribution to increased or decreased disease risk.

Project Lead(s): Mary Regina Boland, George Hripcsak, Nicholas P Tatonetti

Coordinating Institution(s): Columbia University

Additional Participants (currently seeking additional collaborators):

Columbia: Mary Regina Boland, George Hripcsak, Nicholas P Tatonetti, Adler Perotte, Patrick Ryan

Taipei Medical University: Jack Li, Usman Iqbal, Alex Nguyen, Martjin Schuemie

Ajou University School of Medicine: Rae Woong Park, Seng Chan You

Stanford University: Nigam Shah

Children's Hospital of Philadelphia: Charles Bailey

Erasmus University Medical Center: Peter Rijnbeek

NIH: Vojtech Huser University of Colorado: Lisa Schilling University of California, Los Angeles: Marc Suchard Any interested collaborators please contact me (Mary Regina Boland) at mb3402@columbia.edu and I will be happy to add you to the collaborator list. Participating Institution(s): Columbia University, Ajou University School of Medicine, Stanford University, University of Colorado, University of California, Los Angeles, Children's Hospital of Philadelphia (April Discussion on Forum), Erasmus University Medical Center (April Discussion on Forum), Taipei Medical University (TMU) Full Protocol: OHDSI Climate/Birth Month Disease Risk Protocol Initial Proposal Date: 5/16/2015 Launch Date: 8/18/2015 Complete Launch Date (varies depending on IRB approvals from various sites): 5/01/2016 Receive Results for Analysis Date: 05/01/2016 Study Closure Date: <fill out once finalized> Results Submission: Email or SFTP </WRAP> ===== Customizable OHDSI-Formatted IRB ===== IRB: OHDSI Climate/Birth Month Disease Risk Customizable IRB ===== Requirements ===== CDM: V4 or V5 (both versions fully tested) Table Accessed: CONDITION_OCCURRENCE, CONDITION_ERA, CONCEPT, PERSON Database Dialects: SQL Server, Postgres, Oracle Software:** SQL and R

Code

GitHub code for Proposed Study 4 - SeaWAS Across OHDSI

Discussion

SeaWAS-OHDSI Discussion Thread

Datasets Run

• Columbia University - CUMC/NYP
• Taipei Medical University

Waiting for Datasets From

• Ajou University School of Medicine
• Stanford University
• University of Colorado
• University of California, Los Angeles
• Possibly - Children's Hospital of Philadelphia
• Possibly - Erasmus University Medical Center