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Understanding all potential adverse drug events (ADEs) associated with GABA will guide clinical decision\u2010making for pain management.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A 20% sample of Medicare enrollees with new chronic pain diagnoses in 2017\u20132018 was selected. GABA users were those with &gt;=30 consecutive days prescription in a year without opioid prescription. Opioid users were similarly defined. The control group used neither of these drugs. Propensity score match across three groups based on demographics and comorbidity was performed. We used proportional reporting ratio (PRR), Gamma Poisson Shrinker, and tree\u2010based scan statistic (TBSS) to detect ADEs within 3, 6, and 12\u2009months of follow\u2010up.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Immunity disorder was detected within 3\u2009months of follow\u2010up by PRR compared to opioid use (PRR:2.33), and by all three methods compared to controls. Complications of transplanted organs\/tissues and schizophrenia spectrum\/other psychotic disorders were consistently detected by PRR and TBSS within 3\u2009months. Skin disorders were detected by TBSS; and stroke was detected by PRR within 3\u2009months compared to opioid use (PRR:4.74). Some malignancies were detected by PRR within 12\u2009months. Other signals detected in GABA users were neuropathy and nerve disorders.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our study identified expected and unexpected ADE signals in GABA users. Neurological signals likely related to indications for GABA use. Signals for immunity, mental\/behavior, and skin disorders were found in the FDA adverse event reporting system database. Unexpected signals of stroke and cancer require further confirmatory analyses to verify.<\/jats:p><\/jats:sec>","DOI":"10.1002\/pds.5685","type":"journal-article","created":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T22:39:33Z","timestamp":1693262373000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Signal detection of adverse events associated with gabapentinoid use for chronic pain"],"prefix":"10.1002","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1927-0927","authenticated-orcid":false,"given":"Yong\u2010Fang","family":"Kuo","sequence":"first","affiliation":[{"name":"Department of Internal Medicine and Sealy Center on Aging University of Texas Medical Branch  Galveston Texas USA"},{"name":"Department of Biostatistics and Data Science University of Texas Medical Branch  Galveston Texas USA"},{"name":"Office of Biostatistics University of Texas Medical Branch  Galveston Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6126-6465","authenticated-orcid":false,"given":"Efstathia","family":"Polychronopoulou","sequence":"additional","affiliation":[{"name":"Office of Biostatistics University of Texas Medical Branch  Galveston Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7460-7281","authenticated-orcid":false,"given":"Mukaila A.","family":"Raji","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine and Sealy Center on Aging University of Texas Medical Branch  Galveston Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,8,28]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.rr6501e1"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.7326\/M18\u20101243"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2017.7856"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen\u20102021\u2010053487"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD007938.pub4"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.15779"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen\u20102021\u2010052057"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2022.02.039"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2022.10100"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2010.00124"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autneu.2005.11.002"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.3390\/pharmaceutics5010179"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40264\u2010018\u201000784\u20100"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.2147\/CLEP.S105613"},{"key":"e_1_2_9_16_1","unstructured":"Chronic Condition Data Warehouse\u2013Chronic condition categories\u2013Other chronic and disabling conditions. 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