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Yang G, Zhou S, Feng Y, Lang J, Chen Y, Ren H. The Prevalence of Hyperuricemia and the Association Between Hyperuricemia and Age in Patients with Psychiatric Disorders to a General Hospital: A Cross-Section Study. Int J Gen Med 2024; 17:1467-1477. [PMID: 38645402 PMCID: PMC11032717 DOI: 10.2147/ijgm.s454670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/06/2024] [Indexed: 04/23/2024] Open
Abstract
Purpose In clinical work, it has been found that the prevalence of hyperuricemia (HUA) is significantly higher in younger patients with psychiatric disorders, but there are few studies in this area. The present study aims to evaluate the prevalence of HUA and the relationship between the HUA and age in hospitalized patients with psychiatric disorders in the real world, and to provide a theoretical basis for clinical staff to pay attention to the metabolic indicators of younger patients and for future related studies. Methods This is a cross-sectional evaluation of a cohort of 1761 patients with psychiatric disorders of hospitalized. The categories of disorders designed for study included: Depression, Bipolar disorder, Schizophrenia, Anxiety, Obsessive-Compulsive disorder, Acute and transient psychotic disorder, Dissociative(conversion) disorders, Conduct disorders and Tic disorders. In addition, based on age, the participants are stratified into three groups. The authors used Kruskal-Wallis tests, chi-square tests, and multiple linear logistic regression to verify the relationship between HUA and age among hospitalized patients with psychiatric disorders. Results Overall, the estimated prevalence of HUA was 35.4%. The prevalence of HUA was significantly higher in individuals with 17 years and under compared to those with 45 years and above (P < 0.001). After adjusting for confounders, the prevalence of HUA remained higher at 17 years and under than at 45 years and above. Bipolar disorder can lead to an increased prevalence of HUA (P<0.05). Conclusion The prevalence of HUA was higher in hospitalized patients with psychiatric disorders, and the prevalence was inversely proportional to age.
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Affiliation(s)
- Guodong Yang
- Mental Health Center, Hebei Medical University and Hebei Technical Innovation Center for Mental Health Assessment and Intervention, Shijiazhuang, Hebei, 050000, People’s Republic of China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
| | - Shuang Zhou
- The Sixth People’s Hospital of Hebei Province, Baoding, Hebei, 071000, People’s Republic of China
| | - Yue Feng
- Maternity & Child Care Center of Qinhuangdao, Qinhuangdao, Hebei, 066000, People’s Republic of China
| | - Jiaran Lang
- Mental Health Center, Hebei Medical University and Hebei Technical Innovation Center for Mental Health Assessment and Intervention, Shijiazhuang, Hebei, 050000, People’s Republic of China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
| | - Yaxin Chen
- Mental Health Center, Hebei Medical University and Hebei Technical Innovation Center for Mental Health Assessment and Intervention, Shijiazhuang, Hebei, 050000, People’s Republic of China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
| | - Huipeng Ren
- Mental Health Center, Hebei Medical University and Hebei Technical Innovation Center for Mental Health Assessment and Intervention, Shijiazhuang, Hebei, 050000, People’s Republic of China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
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Takaesu Y, Sato Y, Iwata S, Takizawa P, Miyauchi H, Ishimoto Y, Kondo T. Prevalence of somatic diseases in adults with attention deficit hyperactivity disorder in Japan is highest in people aged ≥40 years with mental disorders: a cross-sectional study of a Japanese health insurance claims database. Front Psychiatry 2024; 15:1197513. [PMID: 38419898 PMCID: PMC10899330 DOI: 10.3389/fpsyt.2024.1197513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 01/25/2024] [Indexed: 03/02/2024] Open
Abstract
Introduction Studies have reported an association between attention deficit hyperactivity disorder (ADHD) and somatic diseases; however, the correlation of mental disorders with the association between ADHD and somatic diseases remains uninvestigated. This study investigated and compared the prevalence of somatic diseases among adults with/without ADHD, stratified by the presence or absence of mental disorders. Methods This cross-sectional study (October 2020-September 2021), using data (June 2013-September 2021) from a Japanese health insurance claims database, included adult participants with a medical record of and receiving medication for ADHD (ADHD group); the control group (matched 1:5 by age/sex) comprised participants without ADHD. The prevalence and odds ratio (OR; ADHD versus control) of type 2 diabetes mellitus (T2DM), diabetes complications, hypertension, cardiovascular disease (CVD), dyslipidemia, gout and hyperuricemia, chronic obstructive pulmonary disease (COPD), non-alcoholic fatty liver disease/non-alcoholic steatohepatitis (NAFLD/NASH), and atopic dermatitis were investigated. Pooled ORs for stratified analysis were calculated using the Mantel-Haenszel method. Results In the matched analysis sets, the ORs for all somatic diseases were significantly higher for the ADHD group (n=15,028) versus the control group (n=74,796). On stratified analysis, the Mantel-Haenszel ORs were significant for NAFLD/NASH (1.53; 95% confidence interval [CI]: 1.34, 1.73), diabetes complications (1.39; 95% CI: 1.09, 1.77), and gout and hyperuricemia (1.34; 95% CI: 1.19, 1.51). Furthermore, the stratum-specific ORs for T2DM, hypertension, and dyslipidemia were >1 and <1 in the presence and absence of mental disorders, respectively. The prevalence of all somatic diseases except atopic dermatitis increased with age. For participants aged ≥40 years, the Mantel-Haenszel ORs were significant for all somatic diseases except CVD, COPD, and atopic dermatitis. Conclusions The prevalence of several somatic diseases, including chronic disorders, was high among adults with ADHD, particularly in those aged ≥40 years and those with mental disorders.
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Affiliation(s)
- Yoshikazu Takaesu
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Yumi Sato
- Medical Affairs Department, Integrated Disease Care Division, Shionogi & Co., Ltd., Osaka, Japan
| | - Shinpei Iwata
- PMS & Pharmacoepidemiology Department, Shionogi Pharmacovigilance Center Co., Ltd., Osaka, Japan
| | | | - Hideyuki Miyauchi
- PMS & Pharmacoepidemiology Department, Shionogi Pharmacovigilance Center Co., Ltd., Osaka, Japan
| | - Yoshikazu Ishimoto
- Medical Affairs Department, Integrated Disease Care Division, Shionogi & Co., Ltd., Osaka, Japan
| | - Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
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Zhou A, Cao X, Mahaganapathy V, Azaro M, Gwin C, Wilson S, Buyske S, Bartlett CW, Flax JF, Brzustowicz LM, Xing J. Common genetic risk factors in ASD and ADHD co-occurring families. Hum Genet 2023; 142:217-230. [PMID: 36251081 PMCID: PMC10177627 DOI: 10.1007/s00439-022-02496-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 10/10/2022] [Indexed: 12/01/2022]
Abstract
Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two major neurodevelopmental disorders that frequently co-occur. However, the genetic mechanism of the co-occurrence remains unclear. The New Jersey Language and Autism Genetics Study (NJLAGS) collected more than 100 families with at least one member affected by ASD. NJLAGS families show a high prevalence of ADHD and provide a good opportunity to study shared genetic risk factors for ASD and ADHD. The linkage study of the NJLAGS families revealed regions on chromosomes 12 and 17 that are significantly associated with ADHD. Using whole-genome sequencing data on 272 samples from 73 NJLAGS families, we identified potential risk genes for ASD and ADHD. Within the linkage regions, we identified 36 genes that are associated with ADHD using a pedigree-based gene prioritization approach. KDM6B (Lysine Demethylase 6B) is the highest-ranking gene, which is a known risk gene for neurodevelopmental disorders, including ASD and ADHD. At the whole-genome level, we identified 207 candidate genes from the analysis of both small variants and structure variants, including both known and novel genes. Using enrichment and protein-protein interaction network analyses, we identified gene ontology terms and pathways enriched for ASD and ADHD candidate genes, such as cilia function and cation channel activity. Candidate genes and pathways identified in our study improve the understanding of the genetic etiology of ASD and ADHD and will lead to new diagnostic or therapeutic interventions for ASD and ADHD in the future.
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Affiliation(s)
- Anbo Zhou
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Xiaolong Cao
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | | | - Marco Azaro
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Christine Gwin
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Sherri Wilson
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Steven Buyske
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Christopher W Bartlett
- The Steve Cindy Rasmussen Institute for Genomic Medicine, Battelle Center for Computational Biology, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.,Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Judy F Flax
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Linda M Brzustowicz
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, NJ, 08854, USA
| | - Jinchuan Xing
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA. .,The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, NJ, 08854, USA.
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