{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T19:02:05Z","timestamp":1783191725601,"version":"3.54.6"},"reference-count":30,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T00:00:00Z","timestamp":1781395200000},"content-version":"vor","delay-in-days":13,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to identify and characterize drugs associated with reports of head injury through a comprehensive analysis of the FDA Adverse Event Reporting System (FAERS) database.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A retrospective disproportionality analysis was conducted on FAERS reports from 2004 to 2023. Cases were identified using a single Medical Dictionary for Regulatory Activities (MedDRA) Preferred Term: \u201cHead Injury\u201d (PT code 10019196). Four disproportionality methods\u2014Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi\u2010item Gamma Poisson Shrinker (MGPS)\u2014were used to detect significant safety signals.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Analysis of 26,485 head injury reports revealed a rising trend over time, with 84.12% being serious and 8.51% fatal. Strongest signals were detected for coagulation factors, notably vonicog alfa (ROR: 43.69) and pegylated factor VIII (ROR: 26.93). Chamomile also showed a significant association (ROR: 20.10). In contrast, warfarin had the highest report count (\n                      <jats:italic>n<\/jats:italic>\n                      = 429) but only a moderate signal strength (ROR: 6.77).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This large\u2010scale pharmacovigilance study identifies a strong association between coagulation factor therapies and reports of head injury. This signal most plausibly reflects confounding by indication rather than a direct prothrombotic mechanism. It also raises safety concerns regarding chamomile. These findings highlight the need for increased clinical vigilance and further investigation into these potential risks.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.71549","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T05:01:44Z","timestamp":1781499704000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Comprehensive Disproportionality Analysis of Drug\u2010Related Head Injury Reports Using the FAERS Database"],"prefix":"10.1002","volume":"16","author":[{"given":"Jiaqi","family":"Guo","sequence":"first","affiliation":[{"name":"Department of Orthopedics The Affiliated Hospital of Beihua University  Jilin City China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luming","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Oral Implantology The Affiliated Stomatological Hospital of Xuzhou Medical University  Xuzhou 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