The safety of benzodiazepines and related drugs during pregnancy: an updated meta-analysis of cohort studies.

PURPOSE: The prevalence of benzodiazepines and related drugs (BZRDs) use during pregnancy increased sharply in recent years. Thus, there are concerns regarding the pregnancy outcomes following exposure to BZRDs. METHODS: Two electronic databases were thoroughly searched to identify related clinical studies published from inception until June 2023. English-language cohort studies with high-quality comparing antenatal BZRDs exposure to an unexposed group on any delivery outcome were included. RESULTS: Ten cohort studies that estimated adverse neonatal outcomes associated with exposure to BZRDs during pregnancy were included. Exposure to BZRDs during pregnancy was associated with an increased risk of congenital malformation [odds ratio (OR) 1.09, 95% confidence interval (CI) 1.05-1.13, p < 0.001], heart malformation (OR 1.13, 95% CI 1.04-1.22, p = 0.003), preterm birth (OR 1.45, 95% CI 1.23-1.7, p < 0.001), SGA (OR 1.18, 95% CI 1.08-1.29, P < 0.001), LBW (OR 1.42, 95% CI 1.25-1.6, p = 0.001) or low Apgar score (OR 1.42, 95% CI 1.08-1.87, p = 0.011),compared with no exposure. Further analyses limited to the first trimester exposure yielded consistent results. CONCLUSIONS: Exposure to BZRDs during pregnancy may be associated with several adverse neonatal outcomes. However, we could not rule out the potential indication confounding factor, further studies with high-quality that control for important confounders are still needed to verify our findings.

Renin-angiotensin system inhibitor use and risk of Parkinson's disease: a meta-analysis.

BACKGROUND: Hypertension is a recognized risk factor for Parkinson's disease (PD). The renin-angiotensin system (RAS) inhibitors are widely used to treat hypertension. However, the association of RAS inhibitor use with PD has still been an area of controversy. METHODS: Thus, we conducted a meta-analysis to investigate the relationship between RAS inhibitor use and PD. PUBMED and EMBASE databases were searched for articles published up to Oct 2023. All studies that examined the relationship between RAS inhibitor use and the incidence of PD were included. RESULTS: Seven studies with total 3,495,218 individuals met our inclusion criteria for this meta-analysis. Overall, RAS inhibitor use was associated with a reduction in PD risk (OR = 0.88, 95%CI = 0.79-0.98) compared with the controls. When restricted the analysis to individuals with RAS inhibitor use indication, RAS inhibitor exposure was also associated with a decreased risk of PD (OR = 0.76, 95%CI = 0.62-0.92). Pooled results of cohort studies also did support a protective role of angiotensin converting enzyme inhibitors (ACEIs) (OR = 0.97, 95%CI = 0.89-1.07) users and angiotensin II receptor blockers (ARBs) (OR = 0.8, 95%CI = 0.63-1.02) in PD. CONCLUSION: Overall, RAS inhibitor use as a class is associated with a reduction in PD risk. However, the findings of ACEIs and ARBs may be limited by small sample size. Future well-designed studies considering the classification by inhibitor type, duration, dose, or property of BBB penetration of RAS inhibitors are needed to clarify the contribution of these exposure parameters on the risk of PD.

Exposure to anti-seizure medication during pregnancy and the risk of autism and ADHD in offspring: a systematic review and meta-analysis.

Background: Evidence of an association between maternal use of anti-seizure medication (ASM) during pregnancy and the risk of autism spectrum disorder (ASD) or attention-deficit/hyperactivity disorder (ADHD) in children is conflicting. This systematic review and meta-analysis aimed to summarize the relationship between fetal exposure to ASM and the development of ASD or ADHD in offspring. Methods: A comprehensive literature search was conducted in PubMed and other databases to identify relevant epidemiological studies published from inception until 1 March 2024. Results: Seven cohort studies were included in the meta-analysis. The results showed that maternal exposure to ASMs during pregnancy was associated with an increased risk of ASD [odds ratio (OR): 2.1, 95% confidence interval (CI): 1.63-2.71; p < 0.001] in the general population. This association became weaker (ASD: OR: 1.38, 95% CI: 1.11-1.73; p = 0.004) when the reference group was mothers with a psychiatric disorder or epilepsy not treated during pregnancy. Furthermore, an increased risk of ADHD was observed when the study data adjusted for drug indications were pooled (OR: 1.43, 95% CI: 1.07-1.92; p = 0.015). In subgroup analyses based on individual ASM use, only exposure to valproate preconception was significantly associated with an increased risk of ASD or ADHD. Conclusion: The significant association between maternal ASM use during pregnancy and ASD or ADHD in offspring may be partially explained by the drug indication or driven by valproate.

Association of atopic dermatitis and headache disorder: a systematic review and meta-analyses.

Background: Growing evidence suggests that headache disorders and atopic dermatitis share similar pathological mechanisms and risk factors. The aim of this study was to assess the risk for headache disorders in patients with atopic dermatitis. Methods: We systematically searched the PubMed and Embase databases from inception to December 1, 2023, for observational studies that examined risk of migraine in subjects with atopic dermatitis. Risk estimates from individual studies were pooled using random-effects models. Results: Ten studies with 12,717,747 subjects were included in the meta-analysis. Our results showed that patients with atopic dermatitis were associated with a higher risk of headache disorder (OR, 1.46, 95% CI = 1.36-1.56; P < 0.001; I2 = 98%) or migraine (OR, 1.32, 95% CI = 1.18-1.47; P < 0.001; I2 = 98.9%). Most of the results of the subgroup analyses were consistent with the overall results. Conclusion: The findings of this meta-analysis suggest that atopic dermatitis is a potential risk indicator for headache disorder or migraine. Further studies are still needed to verify our findings due to the substantial heterogeneity in our analyses.