FDA Adverse Event Reports for Drug-Related Perinatal Depression Risk Assessment

28 drugs were identified with positive signals for perinatal depression risk. This dataset likely contains adverse event reports from the FDA Adverse Event Reporting System (FAERS) from Q1 2004 to Q2 2025, used in a pharmacovigilance study by Jie-Hai Chen. The analysis employed disproportionality analysis, logistic regression, LASSO regression, and time-to-onset analysis.

Use Cases

• Identify drug-associated perinatal depression risk signals based on disproportionality analysis results
• Build predictive models for drug-related perinatal depression based on demographic and drug use factors
• Analyze time-to-onset patterns for adverse events related to perinatal depression

Strengths

• Data spans a 21-year period from Q1 2004 to Q2 2025
• Analysis identified 28 drugs with positive signals and specific demographic risk factors
• The predictive model achieved a ROC-AUC of 0.907

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is 39.5 KB, indicating a very limited scope

Provenance

Source

FDA Adverse Event Reporting System (FAERS)

Collection Method

Retrospective pharmacovigilance study using disproportionality analysis, logistic regression, LASSO regression, and time-to-onset analysis

Time Range

Q1 2004 to Q2 2025

Freshness

Last updated 2026-04-24 05:39:51; freshness should be verified