Off-label prescribing during pregnancy in France: the NéHaVi cohort
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OBJECTIVE: To describe the off-label medication use in a cohort of pregnant women. MATERIAL AND METHODS: We performed a multicenter prospective longitudinal observational study in the Haute-Vienne department (France) called the NéHaVi cohort ("Né en Haute-Vienne" meaning "born in Haute-Vienne"). Women who had given birth to a viable baby in one of three maternity wards in the Haute-Vienne were included in the study after giving their informed consent. Data on the progress and outcome of pregnancies, childbirth, and drug or toxic exposure during pregnancy were collected. Drugs were classified, according to the labeling of the summary of product characteristics (SmPC) regarding the use in pregnancy, as follows: on-label, off-label at risk, and off-label contra-indicated. RESULTS: During their pregnancy, the 397 included women gave birth to 400 viable babies (209 boys, 191 girls, 3 sets of twins). All women had used at least 1 health product: 3,533 (92%) drugs, 298 (7.5%) homeopathic products, and 18 (0.5%) herb derivatives. The mean number of different drugs taken was 8.9 ± 5.3 (min 1, max 31). All pregnant women used at least 1 drug either with a license or considered as safe to take during pregnancy. Among the 2,538 (71.6%) on-label drugs, the most frequently used were analgesics (n = 611, 24.1%) (acetaminophen (n = 566)), antianemia preparations (n = 528, 20.8%), drugs for functional gastrointestinal disorder (n = 269, 10.6%), vitamins (n = 192, 7.5%), drugs for acid-related disorders (n = 148, 5.8%), and antibacterials (n = 118, 4.6%). In total, 321 (80.9%, 95% CI: 77.0 - 84.7) pregnant women used at least 1 off-label drug; and more precisely, 285 (71.8%, 95% CI: 67.4 - 76.2) used at least 1 off-label high-risk drug, and 189 (47.6%, 95% CI: 42.7 - 52.5) at least 1 contra-indicated drug. Among the 995 off-label drugs (28.2%), 760 (21.5%) were considered high-risk, including vasoprotectives (n = 156, 20.5%) (treatment of hemorrhoids (n = 147)), antithrombotic agents (n = 91, 11.6%) (heparins (n = 88)), and calcium channel blockers (n = 88, 11.6%). Lastly, 235 (6.7%) off-label drugs used were contraindicated medications (non-steroidal anti-inflammatory drugs during the 3rd trimester (n = 231)). Five babies were born with malformations not related to the drugs used during pregnancy. CONCLUSION: We showed for the first time the magnitude of off-label prescription during pregnancy in France. Women and health professionals should be made more aware of the potential drug-induced risk during pregnancy. Drug adverse effects during pregnancy should be evaluated through an improved notification in pharmacovigilance and appropriate pharmacoepidemiologic studies in order to change SmPC labelings as early as possible, when necessary.

Evolution and Determinants of Health-Related Quality-of-Life in Kidney Transplant Patients Over the First 3 Years After Transplantation.

BACKGROUND: Health-related quality of life (HRQOL) usually improved after kidney transplantation; however, a non-negligible number of patients did not benefit from transplantation in HRQOL. The aims of this cohort study were to describe the evolution of HRQOL in kidney transplant recipients to search for subgroups with distinct time profiles and to investigate these determinants. METHODS: Three hundred thirty-seven adult patients were followed up from 1 to 36 months after kidney transplantation. Each patient completed repeated HRQOL assessments (median, 5; range, 2-9). K-means for longitudinal data was used to identify homogeneous clusters of HRQOL time profiles obtained for the mental and physical composite scores (MCS and PCS) and for the 8 dimensions of the short-form 36 scale. Covariates associated with these clusters were investigated using random forest analysis. Magnitude and shape of the HRQOL variations over time were investigated using linear regression mixed models. RESULTS: Two longitudinal clusters were identified for the time profiles of PCS and MCS. Patients classified in the higher cluster (ie, 60% of the population) exhibited a steady-state HRQOL, similar on average to the general population, whereas in the lower cluster, PCS and MCS scores were significantly lower than in the general population. Muscular weakness in the first year after transplantation explained 19% of the interpatient variability of PCS 3 months after transplantation, whereas associated with anxiety, it explained 24% of interpatient MCS variability. CONCLUSIONS: This work suggests to promote (i) physical rehabilitation programs after transplantation to curb the muscular loss and (ii) systematic attention to the patient's anxiety.