| アブストラクト | IMPORTANCE: Seasonal variation in adverse drug reactions has clinical and mechanistic implications for understanding disease mechanisms and risk mitigation strategies. Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis (SJS/TEN) is a life-threatening mucocutaneous reaction with high morbidity and mortality, which may have a seasonal component. OBJECTIVE: To determine whether the reporting of SJS/TEN to the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) follows a seasonal pattern, incorporating both traditional seasonal analyses and time-series modeling. DESIGN: Cross-sectional, population-based analysis of FAERS reports from January 2010 to December 2019. Seasonal differences were assessed using Kruskal-Wallis tests and Seasonal-Trend Decomposition using Loess (STL). Seasonal autoregressive integrated moving average (SARIMA) models were used to counterfactually forecast SJS/TEN and comparator conditions during the COVID-19 pandemic, assessing changes in reporting. SETTING: Population-based analysis of spontaneous adverse event reports submitted to FAERS. PARTICIPANTS: All deduplicated FAERS reports with complete event dates from 2010 to 2019 were included. SJS/TEN cases were identified using standardized MedDRA terms. Comparator analyses of known seasonal conditions - photosensitivity reactions, influenza, and respiratory syncytial virus (RSV) - served as positive controls. EXPOSURES: Drug exposures as recorded in FAERS. MAIN OUTCOMES AND MEASURES: The primary outcome was the monthly and seasonal proportion of unique SJS/TEN reports, normalized using all FAERS reports during a particular interval as the denominator. Seasonality strength was quantified from STL decomposition (range 0-1). SARIMA models were applied to pre-COVID data to counterfactually forecast trends from March 2020 to December 2023. Forecast accuracy was evaluated using mean squared error (MSE), root mean squared error (RMSE), and residual diagnostics. RESULTS: Among 5,900 SJS/TEN cases reported from 2010-2019, no significant monthly or seasonal variation was detected (p > 0.05), and seasonality strength was low (0.163). Positive controls (influenza, RSV, photosensitivity) showed expected strong seasonality. SARIMA forecasts indicated a mild increase in SJS/TEN reporting during the pandemic, compared to its previous declining trend. Influenza and RSV dropped below predictions during the pandemic, while photosensitivity remained relatively consistent. CONCLUSIONS AND RELEVANCE: SJS/TEN reporting to FAERS does not exhibit apparent seasonality, in contrast to positive controls. Time-series modeling confirmed these findings and highlighted the relative stability of SJS/TEN reporting during the pandemic compared to respiratory viruses. |
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| ジャーナル名 | medRxiv : the preprint server for health sciences |
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| Pubmed追加日 | 2025/9/2 |
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| 投稿者 | Mukherjee, Eric Milan; Park, Dodie; Krantz, Matthew S; Stone, Cosby A Jr; Martin-Pozo, Michelle; Phillips, Elizabeth |
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| 組織名 | Department of Dermatology, Vanderbilt University Medical Center, Nashville,;Tennessee, USA.;Center for Drug Safety and Immunology, Vanderbilt University Medical Center,;Nashville, Tennessee, USA.;Department of Medicine, Division of Infectious Diseases, Vanderbilt University;Medical Center, Nashville, Tennessee, USA.;Institute for Immunology and Infectious Diseases, Murdoch University, Perth,;Australia. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/40894166/ |
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