The prevalence and associated clinical correlates of hyperuricemia in patients with bipolar disorder
The prevalence and clinically associated factors of hyperuricemia (HUA) have been widely studied in the general population but rarely in patients with bipolar disorder (BPD) co-morbid with HUA. This study attempted to investigate the prevalence of HUA in BPD patients and analyze the associated corre...
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Published in | Frontiers in neuroscience Vol. 16; p. 998747 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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16.09.2022
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ISSN | 1662-453X 1662-4548 1662-453X |
DOI | 10.3389/fnins.2022.998747 |
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Abstract | The prevalence and clinically associated factors of hyperuricemia (HUA) have been widely studied in the general population but rarely in patients with bipolar disorder (BPD) co-morbid with HUA. This study attempted to investigate the prevalence of HUA in BPD patients and analyze the associated correlates of HUA.ObjectiveThe prevalence and clinically associated factors of hyperuricemia (HUA) have been widely studied in the general population but rarely in patients with bipolar disorder (BPD) co-morbid with HUA. This study attempted to investigate the prevalence of HUA in BPD patients and analyze the associated correlates of HUA.In this study, 182 outpatients with BPD and 182 healthy controls participated. The demographic and clinical information were collected. The body weight, height, waist circumference (WC), hip circumference (HC), and blood pressure (BP) were measured. The levels of serum uric acid (UA), triglyceride (TG), high-density lipoprotein (HDL-C), and fasting blood glucose (FBG) were also determined.Materials and methodsIn this study, 182 outpatients with BPD and 182 healthy controls participated. The demographic and clinical information were collected. The body weight, height, waist circumference (WC), hip circumference (HC), and blood pressure (BP) were measured. The levels of serum uric acid (UA), triglyceride (TG), high-density lipoprotein (HDL-C), and fasting blood glucose (FBG) were also determined.BPD patients had a significantly higher prevalence of HUA (40.7%) compared to healthy controls (30.2%) (χ2 = 4.335, P = 0.037). The systolic blood pressure (SBP), pulse pressure (PP), FBG, UA, and body mass index (BMI) were higher in the BPD group compared with those in the control group, while the diastolic blood pressure (DBP) and HDL-C level were lower (P < 0.05) in BPD patients. The prevalence of HUA was higher in BPD patients who used antipsychotics combined with mood stabilizers than that in BPD subjects receiving the mood stabilizers alone (P < 0.001). The prevalence of HUA and increased serum UA levels were higher in the manic group (62.1%) than in the depressive (34.3%) or euthymia group (17.0%) (P < 0.001). Additionally, the severity of mania was positively correlated with the UA level (r = 0.410, P < 0.001). There were significant differences in terms of MetS (29.7% vs. 14.8%), BMI, HC, WC, TG, and HDL-C between the HUA and the non-HUA groups (P < 0.05). The unconditional logistic regression analysis revealed that high BMI (OR = 1.210; 95%CI: 1.100-1.331) and high TG level (OR = 1.652; 95%CI: 1.058-2.580) were the major risk factorids for HUA in BPD patients.ResultsBPD patients had a significantly higher prevalence of HUA (40.7%) compared to healthy controls (30.2%) (χ2 = 4.335, P = 0.037). The systolic blood pressure (SBP), pulse pressure (PP), FBG, UA, and body mass index (BMI) were higher in the BPD group compared with those in the control group, while the diastolic blood pressure (DBP) and HDL-C level were lower (P < 0.05) in BPD patients. The prevalence of HUA was higher in BPD patients who used antipsychotics combined with mood stabilizers than that in BPD subjects receiving the mood stabilizers alone (P < 0.001). The prevalence of HUA and increased serum UA levels were higher in the manic group (62.1%) than in the depressive (34.3%) or euthymia group (17.0%) (P < 0.001). Additionally, the severity of mania was positively correlated with the UA level (r = 0.410, P < 0.001). There were significant differences in terms of MetS (29.7% vs. 14.8%), BMI, HC, WC, TG, and HDL-C between the HUA and the non-HUA groups (P < 0.05). The unconditional logistic regression analysis revealed that high BMI (OR = 1.210; 95%CI: 1.100-1.331) and high TG level (OR = 1.652; 95%CI: 1.058-2.580) were the major risk factorids for HUA in BPD patients.Our study suggests that patients with BPD are prone to metabolic diseases such as HUA. Higher serum levels of TG and high BMI could be associated with HUA development. Clinicians need to regularly monitor and evaluate BPD patients for their serum UA levels, especially for BPD patients with manic/hypomanic episodes and/or under the treatment of antipsychotics combined with mood stabilizers.ConclusionOur study suggests that patients with BPD are prone to metabolic diseases such as HUA. Higher serum levels of TG and high BMI could be associated with HUA development. Clinicians need to regularly monitor and evaluate BPD patients for their serum UA levels, especially for BPD patients with manic/hypomanic episodes and/or under the treatment of antipsychotics combined with mood stabilizers. |
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AbstractList | The prevalence and clinically associated factors of hyperuricemia (HUA) have been widely studied in the general population but rarely in patients with bipolar disorder (BPD) co-morbid with HUA. This study attempted to investigate the prevalence of HUA in BPD patients and analyze the associated correlates of HUA.ObjectiveThe prevalence and clinically associated factors of hyperuricemia (HUA) have been widely studied in the general population but rarely in patients with bipolar disorder (BPD) co-morbid with HUA. This study attempted to investigate the prevalence of HUA in BPD patients and analyze the associated correlates of HUA.In this study, 182 outpatients with BPD and 182 healthy controls participated. The demographic and clinical information were collected. The body weight, height, waist circumference (WC), hip circumference (HC), and blood pressure (BP) were measured. The levels of serum uric acid (UA), triglyceride (TG), high-density lipoprotein (HDL-C), and fasting blood glucose (FBG) were also determined.Materials and methodsIn this study, 182 outpatients with BPD and 182 healthy controls participated. The demographic and clinical information were collected. The body weight, height, waist circumference (WC), hip circumference (HC), and blood pressure (BP) were measured. The levels of serum uric acid (UA), triglyceride (TG), high-density lipoprotein (HDL-C), and fasting blood glucose (FBG) were also determined.BPD patients had a significantly higher prevalence of HUA (40.7%) compared to healthy controls (30.2%) (χ2 = 4.335, P = 0.037). The systolic blood pressure (SBP), pulse pressure (PP), FBG, UA, and body mass index (BMI) were higher in the BPD group compared with those in the control group, while the diastolic blood pressure (DBP) and HDL-C level were lower (P < 0.05) in BPD patients. The prevalence of HUA was higher in BPD patients who used antipsychotics combined with mood stabilizers than that in BPD subjects receiving the mood stabilizers alone (P < 0.001). The prevalence of HUA and increased serum UA levels were higher in the manic group (62.1%) than in the depressive (34.3%) or euthymia group (17.0%) (P < 0.001). Additionally, the severity of mania was positively correlated with the UA level (r = 0.410, P < 0.001). There were significant differences in terms of MetS (29.7% vs. 14.8%), BMI, HC, WC, TG, and HDL-C between the HUA and the non-HUA groups (P < 0.05). The unconditional logistic regression analysis revealed that high BMI (OR = 1.210; 95%CI: 1.100-1.331) and high TG level (OR = 1.652; 95%CI: 1.058-2.580) were the major risk factorids for HUA in BPD patients.ResultsBPD patients had a significantly higher prevalence of HUA (40.7%) compared to healthy controls (30.2%) (χ2 = 4.335, P = 0.037). The systolic blood pressure (SBP), pulse pressure (PP), FBG, UA, and body mass index (BMI) were higher in the BPD group compared with those in the control group, while the diastolic blood pressure (DBP) and HDL-C level were lower (P < 0.05) in BPD patients. The prevalence of HUA was higher in BPD patients who used antipsychotics combined with mood stabilizers than that in BPD subjects receiving the mood stabilizers alone (P < 0.001). The prevalence of HUA and increased serum UA levels were higher in the manic group (62.1%) than in the depressive (34.3%) or euthymia group (17.0%) (P < 0.001). Additionally, the severity of mania was positively correlated with the UA level (r = 0.410, P < 0.001). There were significant differences in terms of MetS (29.7% vs. 14.8%), BMI, HC, WC, TG, and HDL-C between the HUA and the non-HUA groups (P < 0.05). The unconditional logistic regression analysis revealed that high BMI (OR = 1.210; 95%CI: 1.100-1.331) and high TG level (OR = 1.652; 95%CI: 1.058-2.580) were the major risk factorids for HUA in BPD patients.Our study suggests that patients with BPD are prone to metabolic diseases such as HUA. Higher serum levels of TG and high BMI could be associated with HUA development. Clinicians need to regularly monitor and evaluate BPD patients for their serum UA levels, especially for BPD patients with manic/hypomanic episodes and/or under the treatment of antipsychotics combined with mood stabilizers.ConclusionOur study suggests that patients with BPD are prone to metabolic diseases such as HUA. Higher serum levels of TG and high BMI could be associated with HUA development. Clinicians need to regularly monitor and evaluate BPD patients for their serum UA levels, especially for BPD patients with manic/hypomanic episodes and/or under the treatment of antipsychotics combined with mood stabilizers. ObjectiveThe prevalence and clinically associated factors of hyperuricemia (HUA) have been widely studied in the general population but rarely in patients with bipolar disorder (BPD) co-morbid with HUA. This study attempted to investigate the prevalence of HUA in BPD patients and analyze the associated correlates of HUA.Materials and methodsIn this study, 182 outpatients with BPD and 182 healthy controls participated. The demographic and clinical information were collected. The body weight, height, waist circumference (WC), hip circumference (HC), and blood pressure (BP) were measured. The levels of serum uric acid (UA), triglyceride (TG), high-density lipoprotein (HDL-C), and fasting blood glucose (FBG) were also determined.ResultsBPD patients had a significantly higher prevalence of HUA (40.7%) compared to healthy controls (30.2%) (χ2 = 4.335, P = 0.037). The systolic blood pressure (SBP), pulse pressure (PP), FBG, UA, and body mass index (BMI) were higher in the BPD group compared with those in the control group, while the diastolic blood pressure (DBP) and HDL-C level were lower (P < 0.05) in BPD patients. The prevalence of HUA was higher in BPD patients who used antipsychotics combined with mood stabilizers than that in BPD subjects receiving the mood stabilizers alone (P < 0.001). The prevalence of HUA and increased serum UA levels were higher in the manic group (62.1%) than in the depressive (34.3%) or euthymia group (17.0%) (P < 0.001). Additionally, the severity of mania was positively correlated with the UA level (r = 0.410, P < 0.001). There were significant differences in terms of MetS (29.7% vs. 14.8%), BMI, HC, WC, TG, and HDL-C between the HUA and the non-HUA groups (P < 0.05). The unconditional logistic regression analysis revealed that high BMI (OR = 1.210; 95%CI: 1.100–1.331) and high TG level (OR = 1.652; 95%CI: 1.058–2.580) were the major risk factorids for HUA in BPD patients.ConclusionOur study suggests that patients with BPD are prone to metabolic diseases such as HUA. Higher serum levels of TG and high BMI could be associated with HUA development. Clinicians need to regularly monitor and evaluate BPD patients for their serum UA levels, especially for BPD patients with manic/hypomanic episodes and/or under the treatment of antipsychotics combined with mood stabilizers. |
Author | Chen, Xiaodong Li, Zezhi Ning, Yuping Lu, Xiaobing Huang, Zebin Zhou, Hui Li, Shuyun |
AuthorAffiliation | 3 Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders , Guangzhou , China 2 The Affiliated Brain Hospital of Guangzhou Medical University , Guangzhou , China 1 The First School of Clinical Medicine, Southern Medical University , Guangzhou , China |
AuthorAffiliation_xml | – name: 3 Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders , Guangzhou , China – name: 2 The Affiliated Brain Hospital of Guangzhou Medical University , Guangzhou , China – name: 1 The First School of Clinical Medicine, Southern Medical University , Guangzhou , China |
Author_xml | – sequence: 1 givenname: Shuyun surname: Li fullname: Li, Shuyun – sequence: 2 givenname: Xiaobing surname: Lu fullname: Lu, Xiaobing – sequence: 3 givenname: Xiaodong surname: Chen fullname: Chen, Xiaodong – sequence: 4 givenname: Zebin surname: Huang fullname: Huang, Zebin – sequence: 5 givenname: Hui surname: Zhou fullname: Zhou, Hui – sequence: 6 givenname: Zezhi surname: Li fullname: Li, Zezhi – sequence: 7 givenname: Yuping surname: Ning fullname: Ning, Yuping |
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CitedBy_id | crossref_primary_10_2147_IJGM_S454670 crossref_primary_10_1186_s12991_023_00450_5 crossref_primary_10_1155_2024_5521656 crossref_primary_10_18621_eurj_1270126 |
Cites_doi | 10.1001/jamapsychiatry.2014.2502 10.1017/S2045796021000305 10.1002/j.2051-5545.2011.tb00014.x 10.1016/j.jad.2015.03.027 10.1054/mehy.2001.1543 10.1016/j.smrv.2014.06.006 10.1186/s12888-018-1952-z 10.1177/0269881117722987 10.1007/s11926-017-0688-y 10.1016/j.ntt.2011.05.005 10.1001/archgenpsychiatry.2011.12 10.1210/en.2011-0004 10.1111/j.1399-5618.2009.00664.x 10.1038/s41366-019-0487-9 10.1124/pr.58.1.6 10.1111/ijcp.13845 10.1080/14737159.2016.1248413 10.1080/14737159.2017.1270757 10.1007/s11906-010-0098-2 10.2174/1381612811319130011 10.4088/JCP.v69n0806 10.1177/1742395310395959 10.1016/j.jad.2016.05.059 10.4088/JCP.v65n0507 10.1007/s11920-014-0499-z 10.1016/S2215-0366(15)00505-2 10.1097/JCP.0b013e318268391d 10.1161/JAHA.117.007621 10.7759/cureus.14855 10.1016/S0140-6736(04)16669-5 10.1016/j.jpsychires.2016.07.007 10.1016/j.biopsych.2013.02.024 10.1093/ajh/hpt168 10.1016/j.pnpbp.2010.02.027 10.4103/0253-7176.101767 10.3390/ijerph120911528 10.1016/j.ejphar.2014.06.042 10.1016/S0140-6736(18)32548-0 10.1016/j.jad.2014.04.053 10.1002/wps.20420 10.1016/j.jacl.2017.10.009 10.1100/tsw.2003.90 10.1016/j.comppsych.2016.09.011 10.1038/oby.2012.47 10.12740/PP/97335 10.1176/appi.ajp.157.6.975 10.1371/journal.pone.0254590 10.3389/fpsyt.2019.00767 10.1111/bdi.12980 10.1016/j.pnpbp.2014.10.016 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Yuzhen Xu, Tongji University, China These authors have contributed equally to this work Reviewed by: Yu Wang, Tianjin Medical University General Hospital, China; Tianhong Zhang, Shanghai Jiao Tong University, China This article was submitted to Translational Neuroscience, a section of the journal Frontiers in Neuroscience |
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References | Reynolds (B39) 2017; 31 (B33) 2017; 56 Biradar (B6) 2020; 44 Chen (B10) 2018; 18 Lubkowska (B24) 2015; 12 Machado-Vieira (B25) 2012; 32 Michalak (B31) 2011; 7 Bartoli (B3); 17 Shi (B43) 2021; 16 Glasser (B16) 2014; 27 Salvadore (B41) 2010; 34 Kesebir (B21) 2014; 165 Malewska-Kasprzak (B28) 2019; 53 Zhao (B52) 2016; 202 Thottam (B46) 2017; 19 Grassi (B17) 2013; 19 Miller (B32) 2014; 16 Machado-Vieira (B26) 2002; 58 Walker (B48) 2015; 72 Bartoli (B5) 2016; 81 Xu (B49) 2021; 75 Oliveira Rda (B35) 2011; 33 Merikangas (B30) 2011; 68 Ortiz (B36) 2015; 57 Liberopoulos (B23) 2004; 364 Chen (B9) 2019; 10 De Berardis (B12) 2008; 22 Diaz (B15) 2009; 11 Jiménez-Fernández (B20) 2021; 23 Grover (B18) 2012; 34 Correll (B11) 2017; 16 Delgado-Rico (B14) 2012; 20 Said (B40) 2018; 7 Borges (B7) 2010; 12 Ng (B34) 2015; 20 Yamada (B50) 2011; 152 Balasubramanian (B1) 2003; 3 Teixeira (B45) 2016; 16 Machado-Vieira (B27) 2008; 69 Sutin (B44) 2014; 75 Pacher (B38) 2006; 58 Shahin (B42) 2021; 13 Henderson (B19) 2000; 157 Oruch (B37) 2014; 740 De Hert (B13) 2011; 10 Zhang (B51) 2018; 12 Barnett (B2) 2018; 392 Vigo (B47) 2016; 3 Bartoli (B4); 73 Kessing (B22) 2015; 180 Chan (B8) 2021; 30 McElroy (B29) 2004; 65 |
References_xml | – volume: 72 start-page: 334 year: 2015 ident: B48 article-title: Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis. publication-title: JAMA Psychiatry doi: 10.1001/jamapsychiatry.2014.2502 – volume: 30 year: 2021 ident: B8 article-title: Excess mortality and lifeyears lost in people with bipolar disorder: An 11-year populationbased cohort study publication-title: Epidemiol. Psychiatr. Sci. doi: 10.1017/S2045796021000305 – volume: 10 start-page: 52 year: 2011 ident: B13 article-title: Physical illness in patients with severe mental disorders, I. Prevalence, impact of medications and disparities in health care. publication-title: World Psychiatry doi: 10.1002/j.2051-5545.2011.tb00014.x – volume: 180 start-page: 142 year: 2015 ident: B22 article-title: Causes of decreased life expectancy over the life span in bipolar disorder. publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2015.03.027 – volume: 58 start-page: 297 year: 2002 ident: B26 article-title: Purinergic dysfunction in mania: an integrative model. publication-title: Med. Hypotheses doi: 10.1054/mehy.2001.1543 – volume: 20 start-page: 46 year: 2015 ident: B34 article-title: Sleep-wake disturbance in interepisode bipolar disorder and high-risk individuals: a systematic review and meta-analysis. publication-title: Sleep Med. Rev. doi: 10.1016/j.smrv.2014.06.006 – volume: 18 year: 2018 ident: B10 article-title: Association between hyperuricemia and metabolic syndrome in patients suffering from bipolar disorder. publication-title: BMC Psychiatry doi: 10.1186/s12888-018-1952-z – volume: 31 start-page: 1430 year: 2017 ident: B39 article-title: Mechanisms underlying metabolic disturbances associated with psychosis and antipsychotic drug treatment. publication-title: J. Psychopharmacol. doi: 10.1177/0269881117722987 – volume: 19 year: 2017 ident: B46 article-title: Gout and metabolic syndrome: a tangled web. publication-title: Curr. Rheumatol. Rep. doi: 10.1007/s11926-017-0688-y – volume: 33 start-page: 651 year: 2011 ident: B35 article-title: Inhibitory effect of lithium on nucleotide hydrolysis and acetylcholinesterase activity in zebrafish (Danio rerio) brain. publication-title: Neurotoxicol. Teratol. doi: 10.1016/j.ntt.2011.05.005 – volume: 68 start-page: 241 year: 2011 ident: B30 article-title: Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. publication-title: Arch. Gen. Psychiatry doi: 10.1001/archgenpsychiatry.2011.12 – volume: 152 start-page: 2634 year: 2011 ident: B50 article-title: Impaired CNS leptin action is implicated in depression associated with obesity. publication-title: Endocrinology doi: 10.1210/en.2011-0004 – volume: 11 start-page: 154 year: 2009 ident: B15 article-title: Tobacco smoking behaviors in bipolar disorder: a comparison of the general population, schizophrenia, and major depression. publication-title: Bipolar Disord. doi: 10.1111/j.1399-5618.2009.00664.x – volume: 44 start-page: 865 year: 2020 ident: B6 article-title: The causal role of elevated uric acid and waist circumference on the risk of metabolic syndrome components publication-title: Int. J. Obes. (Lond.) doi: 10.1038/s41366-019-0487-9 – volume: 58 start-page: 87 year: 2006 ident: B38 article-title: Therapeutic effects of xanthine oxidase inhibitors: renaissance half a century after the discovery of allopurinol. publication-title: Pharmacol. Rev. doi: 10.1124/pr.58.1.6 – volume: 75 year: 2021 ident: B49 article-title: The association of serum uric acid with metabolic syndrome and its components-From a single-clinical centre in China. publication-title: Int. J. Clin. Pract. doi: 10.1111/ijcp.13845 – volume: 16 start-page: 1209 year: 2016 ident: B45 article-title: Update on bipolar disorder biomarker candidates. publication-title: Expert Rev. Mol. Diagn. doi: 10.1080/14737159.2016.1248413 – volume: 17 start-page: 105 ident: B3 article-title: Update on bipolar disorder biomarker candidates: what about uric acid/adenosine hypothesis. publication-title: Expert Rev. Mol. Diagn. doi: 10.1080/14737159.2017.1270757 – volume: 12 start-page: 113 year: 2010 ident: B7 article-title: Uric acid as a factor in the metabolic syndrome. publication-title: Curr. Hypertens. Rep. doi: 10.1007/s11906-010-0098-2 – volume: 19 start-page: 2432 year: 2013 ident: B17 article-title: Chronic hyperuricemia, uric acid deposit and cardiovascular risk. publication-title: Curr. Pharm. Des. doi: 10.2174/1381612811319130011 – volume: 69 start-page: 1237 year: 2008 ident: B27 article-title: A double-blind, randomized, placebo-controlled 4-week study on the efficacy and safety of the Purinergic agents allopurinol and dipyridamole adjunctive to lithium in acute bipolar mania. publication-title: J. Clin. Psychiatry doi: 10.4088/JCP.v69n0806 – volume: 7 start-page: 209 year: 2011 ident: B31 article-title: ‘It’s something that I manage but it is not who I am’: reflections on internalized stigma in individuals with bipolar disorder. publication-title: Chronic Illn. doi: 10.1177/1742395310395959 – volume: 202 start-page: 120 year: 2016 ident: B52 article-title: The potential association between obesity and bipolar disorder: A meta-analysis. publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2016.05.059 – volume: 65 start-page: 634 year: 2004 ident: B29 article-title: Are mood disorders and obesity related? A review for the mental health professional. publication-title: J. Clin. Psychiatry doi: 10.4088/JCP.v65n0507 – volume: 16 year: 2014 ident: B32 article-title: Excess mortality in bipolar disorders. publication-title: Curr. Psychiatry Rep. doi: 10.1007/s11920-014-0499-z – volume: 3 start-page: 171 year: 2016 ident: B47 article-title: Estimating the true global burden of mental illness. publication-title: Lancet Psychiatry doi: 10.1016/S2215-0366(15)00505-2 – volume: 32 start-page: 735 year: 2012 ident: B25 article-title: Purinergic system in the treatment of bipolar disorder: uric acid levels as a screening test in mania. publication-title: J. Clin. Psychopharmacol. doi: 10.1097/JCP.0b013e318268391d – volume: 7 year: 2018 ident: B40 article-title: Relationship of arterial stiffness index and pulse pressure with cardiovascular disease and mortality. publication-title: J. Am. Heart. Assoc. doi: 10.1161/JAHA.117.007621 – volume: 13 year: 2021 ident: B42 article-title: Hyperuricemia and cardiovascular risk. publication-title: Cureus doi: 10.7759/cureus.14855 – volume: 364 start-page: 246 year: 2004 ident: B23 article-title: Alcohol intake, serum uric acid concentrations, and risk of gout. publication-title: Lancet doi: 10.1016/S0140-6736(04)16669-5 – volume: 81 start-page: 133 year: 2016 ident: B5 article-title: Uric acid levels in subjects with bipolar disorder: A comparative meta-analysis. publication-title: J. Psychiatr. Res. doi: 10.1016/j.jpsychires.2016.07.007 – volume: 22 start-page: 195 year: 2008 ident: B12 article-title: Evaluation of plasma antioxidant levels during different phases of illness in adult patients with bipolar disorder. publication-title: J Biol Regul Homeost Agents. – volume: 75 start-page: 31 year: 2014 ident: B44 article-title: Impulsivity is associated with uric acid: evidence from humans and mice. publication-title: Biol. Psychiatry doi: 10.1016/j.biopsych.2013.02.024 – volume: 27 start-page: 555 year: 2014 ident: B16 article-title: Is pulse pressure an independent risk factor for incident acute coronary heart disease events? The REGARDS study. publication-title: Am. J. Hypertens. doi: 10.1093/ajh/hpt168 – volume: 34 start-page: 819 year: 2010 ident: B41 article-title: Increased uric acid levels in drug-naïve subjects with bipolar disorder during a first manic episode. publication-title: Prog. Neuropsychopharmacol. Biol. Psychiatry doi: 10.1016/j.pnpbp.2010.02.027 – volume: 34 start-page: 110 year: 2012 ident: B18 article-title: Metabolic syndrome in bipolar disorders. publication-title: Indian J. Psychol. Med. doi: 10.4103/0253-7176.101767 – volume: 12 start-page: 11528 year: 2015 ident: B24 article-title: Serum Adiponectin and Leptin Concentrations in Relation to Body Fat Distribution, Hematological Indices and Lipid Profile in Humans. publication-title: Int. J. Environ. Res. Public Health doi: 10.3390/ijerph120911528 – volume: 740 start-page: 464 year: 2014 ident: B37 article-title: Lithium: a review of pharmacology, clinical uses, and toxicity. publication-title: Eur. J. Pharmacol. doi: 10.1016/j.ejphar.2014.06.042 – volume: 392 year: 2018 ident: B2 article-title: Bipolar disorder. publication-title: Lancet doi: 10.1016/S0140-6736(18)32548-0 – volume: 165 start-page: 131 year: 2014 ident: B21 article-title: Uric acid levels may be a biological marker for the differentiation of unipolar and bipolar disorder: the role of affective temperament. publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2014.04.053 – volume: 56 start-page: 235 year: 2017 ident: B33 article-title: [Chinese multi-disciplinary consensus on the diagnosis and treatment of hyperuricemia and its related diseases]. publication-title: Zhonghua Nei Ke Za Zhi – volume: 16 start-page: 163 year: 2017 ident: B11 article-title: Prevalence, incidence and mortality from cardiovascular disease in patients with pooled and specific severe mental illness: a large-scale meta-analysis of 3,211,768 patients and 113,383,368 controls. publication-title: World Psychiatry doi: 10.1002/wps.20420 – volume: 12 start-page: 185 year: 2018 ident: B51 article-title: Higher triglyceride level predicts hyperuricemia: A prospective study of 6-year follow-up. publication-title: J. Clin. Lipidol. doi: 10.1016/j.jacl.2017.10.009 – volume: 3 start-page: 930 year: 2003 ident: B1 article-title: Uric acid or 1-methyl uric acid in the urinary bladder increases serum glucose, insulin, true triglyceride, and total cholesterol levels in Wistar rats. publication-title: ScientificWorldJournal doi: 10.1100/tsw.2003.90 – volume: 73 start-page: 1 ident: B4 article-title: Purinergic system dysfunctions in subjects with bipolar disorder: A comparative cross-sectional study. publication-title: Compr. Psychiatry doi: 10.1016/j.comppsych.2016.09.011 – volume: 20 start-page: 1604 year: 2012 ident: B14 article-title: BMI predicts emotion-driven impulsivity and cognitive inflexibility in adolescents with excess weight. publication-title: Obesity doi: 10.1038/oby.2012.47 – volume: 53 start-page: 577 year: 2019 ident: B28 article-title: Disturbances of purinergic system in affective disorders and schizophrenia. publication-title: Psychiatr. Pol. doi: 10.12740/PP/97335 – volume: 157 start-page: 975 year: 2000 ident: B19 article-title: Clozapine, diabetes mellitus, weight gain, and lipid abnormalities: A five-year naturalistic study. publication-title: Am. J. Psychiatry doi: 10.1176/appi.ajp.157.6.975 – volume: 16 year: 2021 ident: B43 article-title: Association between serum uric acid and cardiovascular disease risk factors in adolescents in America: 2001-2018. publication-title: PLoS One doi: 10.1371/journal.pone.0254590 – volume: 10 year: 2019 ident: B9 article-title: Patients with drug-naive bipolar disorder in remission after 8 weeks of treatment had decreased serum uric acid concentrations. publication-title: Front. Psychiatry doi: 10.3389/fpsyt.2019.00767 – volume: 23 start-page: 117 year: 2021 ident: B20 article-title: Oxidative stress parameters and antioxidants in patients with bipolar disorder: Results from a meta-analysis comparing patients, including stratification by polarity and euthymic status, with healthy controls. publication-title: Bipolar Disord. doi: 10.1111/bdi.12980 – volume: 57 start-page: 117 year: 2015 ident: B36 article-title: Purinergic system dysfunction in mood disorders: a key target for developing improved therapeutics. publication-title: Prog. Neuropsychopharmacol. Biol. Psychiatry doi: 10.1016/j.pnpbp.2014.10.016 |
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Snippet | The prevalence and clinically associated factors of hyperuricemia (HUA) have been widely studied in the general population but rarely in patients with bipolar... ObjectiveThe prevalence and clinically associated factors of hyperuricemia (HUA) have been widely studied in the general population but rarely in patients with... |
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SubjectTerms | bipolar disorder body mass index hyperuricemia metabolic syndrome Neuroscience triglyceride |
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Title | The prevalence and associated clinical correlates of hyperuricemia in patients with bipolar disorder |
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