Active Surveillance of the Safety of Medications Used During Pregnancy. Issue 6 (11th January 2021)
- Record Type:
- Journal Article
- Title:
- Active Surveillance of the Safety of Medications Used During Pregnancy. Issue 6 (11th January 2021)
- Main Title:
- Active Surveillance of the Safety of Medications Used During Pregnancy
- Authors:
- Huybrechts, Krista F
Kulldorff, Martin
Hernández-Díaz, Sonia
Bateman, Brian T
Zhu, Yanmin
Mogun, Helen
Wang, Shirley V - Abstract:
- Abstract: The scientific community relies on postmarketing approaches to define the risk of using medications in pregnancy because information available at the time of drug approval is limited. Most studies carried out in pregnancy focus on a single outcome or selected outcomes. However, women must balance the benefit of treatment against all possible adverse effects. We aimed to apply and evaluate a tree-based scan statistic data-mining method (TreeScan; Martin Kulldorff, Harvard Medical School, Boston, Massachusetts) as a safety surveillance approach that allows for simultaneous evaluation of a comprehensive range of adverse pregnancy outcomes, while preserving the overall rate of false-positive alerts. We evaluated TreeScan with a cohort design and adjustment via propensity score techniques, using 2 test cases: 1) opioids and neonatal opioid withdrawal syndrome and 2) valproate and congenital malformations, implemented in pregnancy cohorts nested within the Medicaid Analytic eXtract (January 1, 2000–December 31, 2014) and the IBM MarketScan Research Database (IBM, Armonk, New York) (January 1, 2003–September 30, 2015). In both cases, we identified known safety concerns, with only 1 previously unreported alert at the preset statistical alerting threshold. This evaluation shows the promise of TreeScan-based approaches for systematic drug safety monitoring in pregnancy. A targeted screening approach followed by deeper investigation to refine understanding of potentialAbstract: The scientific community relies on postmarketing approaches to define the risk of using medications in pregnancy because information available at the time of drug approval is limited. Most studies carried out in pregnancy focus on a single outcome or selected outcomes. However, women must balance the benefit of treatment against all possible adverse effects. We aimed to apply and evaluate a tree-based scan statistic data-mining method (TreeScan; Martin Kulldorff, Harvard Medical School, Boston, Massachusetts) as a safety surveillance approach that allows for simultaneous evaluation of a comprehensive range of adverse pregnancy outcomes, while preserving the overall rate of false-positive alerts. We evaluated TreeScan with a cohort design and adjustment via propensity score techniques, using 2 test cases: 1) opioids and neonatal opioid withdrawal syndrome and 2) valproate and congenital malformations, implemented in pregnancy cohorts nested within the Medicaid Analytic eXtract (January 1, 2000–December 31, 2014) and the IBM MarketScan Research Database (IBM, Armonk, New York) (January 1, 2003–September 30, 2015). In both cases, we identified known safety concerns, with only 1 previously unreported alert at the preset statistical alerting threshold. This evaluation shows the promise of TreeScan-based approaches for systematic drug safety monitoring in pregnancy. A targeted screening approach followed by deeper investigation to refine understanding of potential signals will ensure that pregnant women and their physicians have access to the best available evidence to inform treatment decisions. … (more)
- Is Part Of:
- American journal of epidemiology. Volume 190:Issue 6(2021)
- Journal:
- American journal of epidemiology
- Issue:
- Volume 190:Issue 6(2021)
- Issue Display:
- Volume 190, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 190
- Issue:
- 6
- Issue Sort Value:
- 2021-0190-0006-0000
- Page Start:
- 1159
- Page End:
- 1168
- Publication Date:
- 2021-01-11
- Subjects:
- drug safety -- opioids -- pregnancy -- systematic surveillance -- TreeScan -- valproate
Epidemiology -- Periodicals
Public health -- Periodicals
614.4 - Journal URLs:
- http://aje.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/aje/kwaa288 ↗
- Languages:
- English
- ISSNs:
- 0002-9262
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0824.600000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25818.xml