Use of existing electronic health care databases to evaluate medication safety in pregnancy: Triptan exposure in pregnancy as a case study.

PURPOSE: The recent expansion of electronic health and medical record systems may present an opportunity to generate robust post-approval safety data and obviate the limitations of prospective pregnancy exposure registries. We examined and compared, over the same time frame, the outcomes of triptan exposure in pregnancy using (1) a retrospective claims database and (2) a previously completed pregnancy registry. METHODS: Using the Marketscan database, the risk of major birth defects was ascertained in live-born infants whose birth mothers were exposed to sumatriptan, naratriptan, or sumatriptan/naproxen during pregnancy. The frequencies of outcomes observed were compared with the findings of the 16-year sumatriptan, naratripan, and sumatriptan/naproxen prospective pregnancy registry. RESULTS: About 5120 pregnancies were identified in the retrospective claims cohort in contrast to 617 included in the prospective registry during the same time frame. The proportion of major birth defects among first-semester sumatriptan exposures was 4.0%, which is exactly the same as the proportion of major birth defects reported for first-semester sumatriptan exposures in the registry. There were very few non-livebirth outcomes in both the claims analyses and registry. CONCLUSIONS: These results confirm broad agreement between the database analysis and the registry regarding the safety of triptans during pregnancy. Of note, the number of triptan-exposed pregnancies identified in this large US database was about 7-fold that included in the prospective registry over the same time frame. The findings of this study support an approach of using existing health care database (s) in the post-approval assessment of medication exposure in pregnancy.

Changes in Medication Use During Pregnancy for Women with Chronic Conditions: An Analysis of Claims Data.

PURPOSE: Evaluation of drug safety during pregnancy is dependent on the number of exposed women during routine clinical practice with data available for analysis. We examined medication fills in pregnant and nonpregnant women within select disease cohorts: general population, migraine, diabetes, and hyperlipidemia to explore the potential use of claims data to assess medication use and safety during pregnancy. METHODS: This cohort study, using IBM MarketScan® Research Databases claims data, included women 10-54 years of age with pregnancy resulting in a liveborn infant between January 2010 and September 2015 and matched nonpregnant women. Medication use (antidepressants, antihypertensives, sedatives, glucose-lowering medications, antiepileptics, antipsychotics, lipid-lowering medications) was abstracted from pharmacy claims 180 days before last menstrual period through 180 days postdelivery. RESULTS: Among 753,760 women in the general pregnancy population (including 73,268 migraine, 50,155 hyperlipidemia, and 8361 diabetes; non-exclusive cohorts), antidepressants, antihypertensives, and sedatives were the most commonly used medications during pregnancy. Medications of interest were less commonly used in the pregnancy cohort than in the matched nonpregnant cohort within each time period (e.g., 3.7% vs 13.1% antidepressant use in 1st trimester). Most prescription fills were less common during pregnancy then pre-pregnancy. Post-pregnancy, prescription fills increased to or exceeded pre-pregnancy levels, except antihypertensive and glucose-lowering medications, which increased during pregnancy. CONCLUSIONS: Medication use among pregnant women was low and different from that among matched nonpregnant women. The underlying size of large commercial claims databases offer opportunities for efficient evaluation of potential safety concerns, particularly for rare drug exposures, compared to traditional pregnancy registries.

Accelerating the Availability of Medications to Pediatric Patients by Optimizing the Use of Extrapolation of Efficacy.

Improving pediatric therapeutic development is a mission of universal importance among health authorities, pharmaceutical companies, academic institutions, and healthcare professionals. Following the passage of legislation in the United States and Europe, we witnessed the most significant advancement yet in pediatric data generation, resulting in added pediatric use information to almost 700 product labels. Tools to accelerate generation of data for the pediatric population are available for use today, and when utilized in accordance with current practices and laws, these tools could increase the amount and timeliness of pediatric information available for clinicians and patients. If we utilize the current laws that allow regulators to incentivize and require evidence generation, apply extrapolation, and utilize modeling and simulation, as well as including adolescents in the pivotal studies alongside adults as appropriate, two strategic goals could be achieved by 2030: (1) reduce the time to pediatric approval by 50%, and (2) renew pediatric labeling information for 15 priority pediatric drugs without patent and/or exclusivity.