OHDSI MEETINGS THIS WEEK
The Book of OHDSI Workgroup - Tuesday at 11am ET
Zoom URL: https://columbiauniversity.zoom.us/j/258043190
OHDSI Community Call - Tuesday at 12pm ET
US TOLL: +1-415-655-0001
Meeting Number: 199 982 907
Population-Level Estimation (Eastern hemisphere) Workgroup Call - Wednesday at 3pm Hong Kong time
Patient-Level Prediction (Western hemisphere) Workgroup call - Wednesday at 12pm ET
Access Code: 972-917-661
Audio PIN: Shown after joining the meeting
Meeting ID: 972-917-661
NLP Working Group - Wednesday at 2pm ET
Dial in: +1 (571) 317-3122
Conference ID: 707-196-421
GIS Working Group Meeting - Next Monday (December 17th) at 10am ET
Meeting Number: 735 317 239
Simple, modern video meetings for the global workforce. Join from anywhere, including your desktop, browser, mobile device, or video room device.
2019 European Symposium - Registration is open for second annual European Symposium, set to take place March 29th, 2019 in Rotterdam, Netherlands. For more details, including where to register, check out Peter’s post: European OHDSI Symposium Registration now open!
2019 OHDSI F2F - SAVE THE DATE! The 2019 OHDSI F2F will take place on June 3-4th 2019 at Case Western Reserve University in Cleveland, OH. For more details check out the event page: https://www.ohdsi.org/events/2019-ohdsi-face-to-face/
2018 OHDSI Symposium Materials - All slides, handouts and abstracts from this year’s symposium have been uploaded here: https://www.ohdsi.org/past-events/2018-ohdsi-symposium-materials/
2018 OHDSI Symposium Recording - Video records from the main symposium are available here: https://www.ohdsi.org/2018-ohdsi-symposium-videos/
2018 Tutorial Recordings - * Intro tutorial videos are online! Advanced tutorials will be posted shortly.
CDM Tutorial: https://www.ohdsi.org/past-events/2018-tutorials-omop-common-data-model-and-standardized-vocabularies/
OHDSI Ecosystem: https://www.ohdsi.org/past-events/2018-tutorials-overview-of-the-ohdsi-analysis-ecosystem/
2019 OHDSI Symposium - Proposed dates for the 2019 OHDSI Symposium are September 15-17th 2019. The main symposium would take place on Monday, September 16th with tutorials on September 15th and 17th.
Most people would rather give than get affection
Aristotle COMMUNITY PUBLICATIONS
Analyzing Partitioned FAIR Health Data Responsibly
A model investigating environmental factors that play a role in female fecundity or birth rate.
PloS one, 2018
Over 12% of women in the United States have reduced fertility and/or fecundity. Environmental factors, such as temperature, and socioeconomic factors have been implicated in reducing female fecundity. The purpose of this study is to investigate the effect of environmental factors coupled with socioeconomic factors on birth rate at the country-level. We use birth rate as a proxy for female fecundity. This will enable us to identify the most important factors affecting female fecundity.Using country-specific data from 182 countries, we constructed a regression model of the effects of environmental and socioeconomic factors on birth rate at the country-level. Our model assesses the role of temperature, Gross Domestic Product (GDP) per capita, fine air particulate matter (PM 2.5), and prevalence of male and female Body Mass Index (BMI) > = 25 (age-standardized) on birth rate per country. Because many of these factors are inter-dependent, we include all possible two-way interaction terms to assess the role of individual factors and interactions between multiple factors in the model.In the full regression model, we found that GDP per capita along with 5 interaction terms were significant after adjusting for multiple testing. Female BMI was only nominally significant. GDP per capita was independently associated with birth rate (adjusted p-value <0.001). Prevalence of BMI > = 25 age-standardized in males and females were also significant when interacting with air pollution or GDP on female fecundity (birth rate). Temperature did not affect birth rate either independently or as an interaction unless BMI was removed from the model.A country's economic wealth was the most significant factor in predicting birth rate in a statistical model that includes environmental and socioeconomic variables. This is important for future studies investigating environmental factors involved in increasing or decreasing female fecundity.
Rate control and clinical outcomes in patients with atrial fibrillation and obstructive lung disease.
SC You, MH An, D Yoon, GY Ban, PS Yang, HT Yu, RW Park and B Joung,
Heart rhythm, Dec 2018
Rate-control medications are considered first-line treatment for patients with atrial fibrillation (AF). However, obstructive lung disease (OLD), a condition prevalent in those with AF, often makes it difficult to use those medications because of the lack of studies on new-onset AF in patients with OLD.The purpose of this study was to investigate clinical outcomes after administration of each class of rate-control medication in patients with concomitant AF and OLD (AF-OLD).This study used the entire database provided by the National Health Insurance Service from 2002 to 2015. Risk of all-cause mortality was compared between use of calcium channel blocker (CCB) and use of other drug classes in AF-OLD patients using Cox regression analyses after propensity score matching.Among the 13,111 patients, the number of AF-OLD patients treated with a CCB, cardioselective β-blocker (BB), nonselective BB, and digoxin was 2482, 2379, 2255, and 5995, respectively. The risk of mortality was lower with use of selective BB (hazard ratio [HR] 0.84; 95% confidence interval [CI] 0.75-0.94; P = .002) and nonselective BB (HR 0.85; 95% CI 0.77-0.95; P = .003) compared to use of CCBs. Digoxin use was related with worse survival, with marginal statistical significance (HR 1.09; 95% CI 1.00-1.18; P = .053).Among patients with AF-OLD, rate-control treatment using selective and nonselective BB was associated with a significant reduction in mortality compared with CCB use. Further prospective randomized trials are required to confirm these findings.