Disproportionality analysis of serotonin syndrome associated with selective serotonin reuptake inhibitors: a pharmacovigilance analysis.

Purpose: The incidence and risk of serotonin syndrome associated with selective serotonin reuptake inhibitors (SSRIs) have increased. However, large-scale studies investigating this relationship remain limited. Therefore, this study aims to evaluate the signal detection between six SSRIs and seroton...

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Publicado en:European Journal of Clinical Pharmacology Vol. 81; no. 8; pp. 1167 - 1176
Autores principales: Choi, Taelim, Oh, Jeongseon, Cho, Jaehyeong, Park, Jaeyu, Kim, Tae Hyeon, Kang, Jiseung, Hajek, André, Kim, Jaewon, Woo, Selin, Hwang, Yerin, Yon, Dong Keon
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Aug2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2025
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00228-025-03856-0
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        atl: Disproportionality analysis of serotonin syndrome associated with selective serotonin reuptake inhibitors: a pharmacovigilance analysis.
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        au:
          Choi, Taelim
          Oh, Jeongseon
          Cho, Jaehyeong
          Park, Jaeyu
          Kim, Tae Hyeon
          Kang, Jiseung
          Hajek, André
          Kim, Jaewon
          Woo, Selin
          Hwang, Yerin
          Yon, Dong Keon
        affil: https://ror.org/01zqcg218 Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
      sug:
        subj:
          Serotonin Syndrome Risk Factors
          Serotonin Uptake Inhibitors Adverse Effects
          Pharmacovigilance
          Risk Assessment
          Adverse Drug Event
          Funding Source
          Human
          Male
          Female
          Descriptive Statistics
          Odds Ratio
          Confidence Intervals
          Hyperthermia
          Prevalence
          Nervous System Diseases
          Recovery
          Data Analysis Software
          Male
          Female
      ab: Purpose: The incidence and risk of serotonin syndrome associated with selective serotonin reuptake inhibitors (SSRIs) have increased. However, large-scale studies investigating this relationship remain limited. Therefore, this study aims to evaluate the signal detection between six SSRIs and serotonin syndrome, rank their relative risks, and propose practical preventive strategies. Methods: This study utilized the global pharmacovigilance database, which systematically compiles adverse drug reaction reports from over 140 countries. The analysis focused on individuals diagnosed with serotonin syndrome associated with SSRIs, classified under the Anatomical Therapeutic Chemical code 'N06AB' and categorized into six types. A disproportionality analysis was conducted using the information component (IC) with IC0.25 and the reporting odds ratio (ROR) with 95% confidence interval (CI) to assess the signal detection between serotonin syndrome and SSRIs. Results: Among 35 million reports, 24,674 reports of serotonin syndrome were identified from 1968 to 2024, including 4,035 associated with SSRIs. Sertraline (24.46%) was the most frequently implicated SSRI. All SSRIs indicated a significant signal detection with serotonin syndrome, with citalopram exhibited the highest signal (ROR: 77.29 [95% CI, 71.63–83.40]; IC: 6.13 [IC025, 6.01]). Hyperthermia and neurological manifestations were the most prevalent. The median time to onset was one day. Recovery rate was 62.21%, and mortality was 0.25%. Conclusion: The findings underscore the potential signal detection between SSRIs and serotonin syndrome. Results also highlight the need to strengthen prevention and management to mitigate associated risks, while long-term studies on serotonin syndrome are essential for improving patient safety and optimizing treatment.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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