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Wang X, Isomura K, Lichtenstein P, Kuja-Halkola R, D'Onofrio BM, Brikell I, Quinn PD, Zhu N, Jayaram-Lindström N, Chang Z, Mataix-Cols D, Sidorchuk A. Incident Benzodiazepine and Z-Drug Use and Subsequent Risk of Serious Infections. CNS Drugs 2024; 38:827-838. [PMID: 39090338 PMCID: PMC11377673 DOI: 10.1007/s40263-024-01108-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/11/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND AND OBJECTIVES Animal studies have suggested a link between benzodiazepine and related Z-drug (BZDR) use and immune dysfunction. Corresponding evidence in humans is limited and focuses mainly on pneumonia. This study aimed to assess the association of incident BZDR use with subsequent development of serious infections. METHODS This Swedish register-based study included a population-based demographically matched cohort, a co-twin control cohort, and an active comparator cohort. Out of 7,362,979 individuals aged below 65 years who were BZDR naïve by 2007, 713,896 BZDR recipients with incident dispensation of any BZDRs between 2007 and 2019 were 1:1 matched to 713,896 nonrecipients from the general population; 9197 BZDR recipients were compared with their 9298 unexposed co-twins/co-multiples; and 434,900 BZDR recipients were compared with 428,074 incident selective serotonin reuptake inhibitor (SSRI) recipients. The outcomes were identified by the first inpatient or specialist outpatient diagnosis of serious infections in the National Patient Register, or death from any infections recorded as the underlying cause in the Cause of Death Register. Cox proportional hazards regression models were fitted and controlled for multiple confounders, including familial confounding and confounding by indication. To study a possible dose-response association, the cumulative dosage of BZDRs dispensed during the follow-up was estimated for each BZDR recipient and modeled as a time-varying exposure with dose categories in tertiles [≤ 20 defined daily doses (DDDs), > 20 DDDs ≤ 65, and > 65 DDDs). The risk of infections was assessed in BZDR recipients within each category of the cumulative BZDR dosage compared to their demographically matched nonrecipients. RESULTS In the demographically matched cohort (average age at incident BZDR use 42.8 years, 56.9% female), the crude incidence rate of any serious infections in BZDR recipients and matched nonrecipients during 1-year follow-up was 4.18 [95% confidence intervals (CI) 4.13-4.23] and 1.86 (95% CI 1.83-1.89) per 100 person-years, respectively. After controlling for demographic, socioeconomic, clinical, and pharmacological confounders, BZDR use was associated with 83% relative increase in risk of any infections [hazard ratio (HR) 1.83, 95% CI 1.79-1.89]. The risk remained increased, although attenuated, in the co-twin cohort (HR 1.55, 95% CI 1.23-1.97) and active comparator cohort (HR 1.33, 95% CI 1.30-1.35). The observed risks were similar across different types of initial BZDRs and across individual BZDRs, and the risks increased with age at BZDR initiation. We also observed a dose-response association between cumulative BZDR dosage and risk of serious infections. CONCLUSIONS BZDR initiation was associated with increased risks of serious infections, even when considering unmeasured familial confounding and confounding by indication. The exact pathways through which BZDRs may affect immune function, however, remain unclear. Further studies are needed to explore the neurobiological mechanisms underlying the association between BZDR use and serious infections, as it can lead to safer therapeutic strategies for patients requiring BZDR.
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Affiliation(s)
- Xinchen Wang
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm Health Care Services, Stockholm, Sweden.
| | - Kayoko Isomura
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm Health Care Services, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brian M D'Onofrio
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, USA
| | - Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Patrick D Quinn
- Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, USA
| | - Nanbo Zhu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nitya Jayaram-Lindström
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm Health Care Services, Stockholm, Sweden
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm Health Care Services, Stockholm, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Anna Sidorchuk
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm Health Care Services, Stockholm, Sweden
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Zhou J, Zheng Y, Xu B, Long S, Zhu LE, Liu Y, Li C, Zhang Y, Liu M, Wu X. Exploration of the potential association between GLP-1 receptor agonists and suicidal or self-injurious behaviors: a pharmacovigilance study based on the FDA Adverse Event Reporting System database. BMC Med 2024; 22:65. [PMID: 38355513 PMCID: PMC10865629 DOI: 10.1186/s12916-024-03274-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 01/25/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Establishing whether there is a potential relationship between glucagon-like peptide 1 receptor agonists (GLP-1RAs) and suicidal or self-injurious behaviors (SSIBs) is crucial for public safety. This study investigated the potential association between GLP-1RAs and SSIBs by exploring the FDA Adverse Event Reporting System (FAERS) database. METHODS A disproportionality analysis was conducted using post-marketing data from the FAERS repository (2018 Q1 to 2022 Q4). SSIB cases associated with GLP-1RAs were identified and analyzed through disproportionality analysis using the information component. The parametric distribution with a goodness-of-fit test was employed to analyze the time-to-onset, and the Ω shrinkage was used to evaluate the potential effect of co-medication on the occurrence of SSIBs. RESULTS In total, 204 cases of SSIBs associated with GLP-1RAs, including semaglutide, liraglutide, dulaglutide, exenatide, and albiglutide, were identified in the FAERS database. Time-of-onset analysis revealed no consistent mechanism for the latency of SSIBs in patients receiving GLP-1RAs. The disproportionality analysis did not indicate an association between GLP-1RAs and SSIBs. Co-medication analysis revealed 81 cases with antidepressants, antipsychotics, and benzodiazepines, which may be proxies of mental health comorbidities. CONCLUSIONS We found no signal of disproportionate reporting of an association between GLP-1RA use and SSIBs. Clinicians need to maintain heightened vigilance on patients premedicated with neuropsychotropic drugs. This contributes to the greater acceptance of GLP-1RAs in patients with type 2 diabetes mellitus or obesity.
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Affiliation(s)
- Jianxing Zhou
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- School of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China
| | - You Zheng
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- School of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China
| | - Baohua Xu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- School of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China
| | - Songjun Long
- School of Medical Imaging, Fujian Medical University, Fuzhou, Fujian, China
| | - Li-E Zhu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Yunhui Liu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Chengliang Li
- Department of Respiratory, Shanghai Electric Power Hospital, Shanghai, China
| | - Yifan Zhang
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Maobai Liu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
| | - Xuemei Wu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
- School of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China.
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