Purpose: There has been a notable progress on the development of methods for identification of pregnancies using primary care databases. We aimed to evaluate the prescription of medications during pregnancy applying a novel algorithm. Methods:We identified pregnancies in women aged 15 to 49 years registered in the Database for Pharmacoepidemiological Research in Primary Care (BIFAP) between 2002 and 2015. The algorithm applied sequential cycles that searched in hierarchical order for indicators of conception, delivery or pregnancy loss, and other codes suggestive of pregnancy. Length of pregnancy was assessed by searching for last menstrual period (LMP) date, gestational age, and outcomes of pregnancy. Prescription of specific drugs during the pre-pregnancy period and first trimester and time trends during pregnancy were evaluated. Results:We identified a total of 155 419 pregnancies during the study period (77.5% completed pregnancies, 21.5% pregnancies losses, 0.8% ectopic pregnancies, and 0.2% stillbirths). Excluding vitamins and supplements, 43.8% of women received at least one prescription during the pre-pregnancy period and 68.4% during the first trimester. During the first trimester, the most commonly drugs prescribed were analgesics (16.3%) followed by antibiotics (11.8%). From 2002From /2003From to 2014From /2015 was an increase of prescriptions for thyroid hormones (1.0% vs 4.7%), H2 blockers (1.0% vs 2.2%), and PPIs (1.4% vs 2.2%). While antidepressants (2.0% vs 1.5%) and benzodiazepines (3.1% vs 2.4%) decreased in the last period. Conclusion:Having in mind the challenges of identifying pregnancies in health care databases, this study demonstrates the usefulness of BIFAP database for studies on drug utilization during pregnancy.

(1) Background: There is a major gap of knowledge towards the natural history of miscarriages in electronic medical records. We aimed to calculate the frequency of miscarriages using data from BIFAP database. (2) Methods: We identified all pregnancy losses and carried out a multistep validation exercise. Potential cases with positive predictive values (PPV) of miscarriage confirmation <85% or those confirming other pregnancy loss were excluded. Kaplan–Meier figures and incidence rates (IRs) of miscarriage with 95% confidence intervals (CIs) expressed by 1000 person-weeks were calculated. Stratifying analysis by age, specific high-risk groups, and drug exposure within the pre-pregnancy period were performed restricted to women with recording last menstrual period (LMP). (3) Results: Women with confirmed miscarriage (N = 18,070), tended to be older, with higher frequency of comorbidities and drug utilization. Restricting to women with LPM recorded, IR of miscarriage was 10.89 (CI 95% 10.68–11.10) per 1000 women-weeks, with a median follow-up of 10 weeks (IQR: 8–12). The IR according to age was: 2.71 (CI 95% 2.59–2.84) in those aged <30 years compared to 9.11 (CI 95% 8.55–9.70) in women aged ≥40 years. Advanced maternal age (Hazard Ratio (HR, 95% confidence interval) CI 95%: 3.34 (3.08–3.62)), use of antihypertensives (1.49 (1.21–1.84), and use of drugs classified as D or X during pregnancy (1.17 (1.07–1.29)) showed to be positive predictors associated with increased risk of miscarriages. (4) Conclusion: BIFAP database can be used to identify women suffering from miscarriages, which will serve to further study risk factors associated with miscarriages with special attention to drug utilization.

No abstract

No abstract