Serum Uric Acid Is Independently Associated with Risk of Obstructive Sleep Apnea-Hypopnea Syndrome in Chinese Patients with Type 2 Diabetes
Purpose. We aimed to investigate the association between serum uric acid (SUA) levels and obstructive sleep apnea-hypopnea syndrome (OSAHS) in patients with type 2 diabetes. Methods. A cross-sectional study of 212 type 2 diabetes mellitus (T2DM) patients was conducted in Xiamen, China. All patients...
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| creator | Li, Zhibin Li, Xuejun Liu, Changqin Chen, Zhongyun Xie, Huan Du, Chunmin Lin, Tingting Liu, Jing Wang, Shunhua Song, Haiqu Zheng, Caiyu Zheng, Silan |
| description | Purpose. We aimed to investigate the association between serum uric acid (SUA) levels and obstructive sleep apnea-hypopnea syndrome (OSAHS) in patients with type 2 diabetes. Methods. A cross-sectional study of 212 type 2 diabetes mellitus (T2DM) patients was conducted in Xiamen, China. All patients underwent polysomnography (PSG) recordings for OSAHS diagnosis. Patients were grouped according to the apnea-hypopnea index (AHI) as mild (5-14.9), moderate (15-29.9), and severe (≧30) OSAHS. Patients with AHI≤4.9 served as the control group. Weight, body mass index (BMI), SUA, liver function, renal function, blood pressure, lipid profiles, and glycemic parameters were measured. Results. A total of 158 patients (101 men and 57 women) with complete data were analyzed in this study. 127 patients were identified as OSAHS. Among the 127 patients with OSAHS, 56 (44.1%), 37 (29.1%), and 34 (26.8%) had mild, moderate, and severe OSAHS, respectively. Correlation analyses showed that the SUA level was significantly related to the apnea-hypopnea index (AHI) (r=0.194, p=0.016). The level of SUA was significantly higher among OSAHS patients compared to the control group (control group: 333.14±80.52 μmol/L, mild group: 345.50±90.27 μmol/L, moderate group: 363.59±134.26 μmol/L, and severe group: 428.37±123.58 μmol/L and p=0.029). Multivariable logistic regression analyses showed that SUA was the independent risk factor for OSAHS (OR: 1.006, 95% CI: 1.001-1.011, p=0.020). Conclusions. The SUA level is significantly associated with the severity of OSAHS and should be controlled when managing OSAHS. |
| doi_str_mv | 10.1155/2019/4578327 |
| format | Article |
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We aimed to investigate the association between serum uric acid (SUA) levels and obstructive sleep apnea-hypopnea syndrome (OSAHS) in patients with type 2 diabetes. Methods. A cross-sectional study of 212 type 2 diabetes mellitus (T2DM) patients was conducted in Xiamen, China. All patients underwent polysomnography (PSG) recordings for OSAHS diagnosis. Patients were grouped according to the apnea-hypopnea index (AHI) as mild (5-14.9), moderate (15-29.9), and severe (≧30) OSAHS. Patients with AHI≤4.9 served as the control group. Weight, body mass index (BMI), SUA, liver function, renal function, blood pressure, lipid profiles, and glycemic parameters were measured. Results. A total of 158 patients (101 men and 57 women) with complete data were analyzed in this study. 127 patients were identified as OSAHS. Among the 127 patients with OSAHS, 56 (44.1%), 37 (29.1%), and 34 (26.8%) had mild, moderate, and severe OSAHS, respectively. Correlation analyses showed that the SUA level was significantly related to the apnea-hypopnea index (AHI) (r=0.194, p=0.016). The level of SUA was significantly higher among OSAHS patients compared to the control group (control group: 333.14±80.52 μmol/L, mild group: 345.50±90.27 μmol/L, moderate group: 363.59±134.26 μmol/L, and severe group: 428.37±123.58 μmol/L and p=0.029). Multivariable logistic regression analyses showed that SUA was the independent risk factor for OSAHS (OR: 1.006, 95% CI: 1.001-1.011, p=0.020). Conclusions. The SUA level is significantly associated with the severity of OSAHS and should be controlled when managing OSAHS.</description><identifier>ISSN: 0278-0240</identifier><identifier>EISSN: 1875-8630</identifier><identifier>DOI: 10.1155/2019/4578327</identifier><identifier>PMID: 31281547</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Adult ; Aged ; Apnea ; Atherosclerosis ; Biomarkers - blood ; Blood pressure ; Body mass ; Body mass index ; Body size ; Cardiovascular disease ; Cholesterol ; Correlation analysis ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - complications ; Diabetes Mellitus, Type 2 - epidemiology ; Female ; Hemoglobin ; Hospitals ; Humans ; Hypertension ; Insulin resistance ; Lipids ; Male ; Medical research ; Medicine, Experimental ; Metabolic syndrome ; Middle Aged ; Obesity ; Regression analysis ; Renal function ; Risk analysis ; Risk factors ; Sleep ; Sleep apnea ; Sleep apnea syndromes ; Sleep Apnea, Obstructive - blood ; Sleep Apnea, Obstructive - epidemiology ; Sleep disorders ; Studies ; Type 2 diabetes ; Uric acid ; Uric Acid - blood</subject><ispartof>Disease markers, 2019, Vol.2019 (2019), p.1-6</ispartof><rights>Copyright © 2019 Caiyu Zheng et al.</rights><rights>COPYRIGHT 2019 John Wiley & Sons, Inc.</rights><rights>Copyright © 2019 Caiyu Zheng et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2019 Caiyu Zheng et al. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-8edfb0938ab4818d8ba027212b91fd97ed190e90a383042018e62dc9df3a2113</citedby><cites>FETCH-LOGICAL-c499t-8edfb0938ab4818d8ba027212b91fd97ed190e90a383042018e62dc9df3a2113</cites><orcidid>0000-0001-6642-9780 ; 0000-0001-8063-7906</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590532/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590532/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,4010,27900,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31281547$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Dalamaga, Maria</contributor><creatorcontrib>Li, Zhibin</creatorcontrib><creatorcontrib>Li, Xuejun</creatorcontrib><creatorcontrib>Liu, Changqin</creatorcontrib><creatorcontrib>Chen, Zhongyun</creatorcontrib><creatorcontrib>Xie, Huan</creatorcontrib><creatorcontrib>Du, Chunmin</creatorcontrib><creatorcontrib>Lin, Tingting</creatorcontrib><creatorcontrib>Liu, Jing</creatorcontrib><creatorcontrib>Wang, Shunhua</creatorcontrib><creatorcontrib>Song, Haiqu</creatorcontrib><creatorcontrib>Zheng, Caiyu</creatorcontrib><creatorcontrib>Zheng, Silan</creatorcontrib><title>Serum Uric Acid Is Independently Associated with Risk of Obstructive Sleep Apnea-Hypopnea Syndrome in Chinese Patients with Type 2 Diabetes</title><title>Disease markers</title><addtitle>Dis Markers</addtitle><description>Purpose. We aimed to investigate the association between serum uric acid (SUA) levels and obstructive sleep apnea-hypopnea syndrome (OSAHS) in patients with type 2 diabetes. Methods. A cross-sectional study of 212 type 2 diabetes mellitus (T2DM) patients was conducted in Xiamen, China. All patients underwent polysomnography (PSG) recordings for OSAHS diagnosis. Patients were grouped according to the apnea-hypopnea index (AHI) as mild (5-14.9), moderate (15-29.9), and severe (≧30) OSAHS. Patients with AHI≤4.9 served as the control group. Weight, body mass index (BMI), SUA, liver function, renal function, blood pressure, lipid profiles, and glycemic parameters were measured. Results. A total of 158 patients (101 men and 57 women) with complete data were analyzed in this study. 127 patients were identified as OSAHS. Among the 127 patients with OSAHS, 56 (44.1%), 37 (29.1%), and 34 (26.8%) had mild, moderate, and severe OSAHS, respectively. Correlation analyses showed that the SUA level was significantly related to the apnea-hypopnea index (AHI) (r=0.194, p=0.016). The level of SUA was significantly higher among OSAHS patients compared to the control group (control group: 333.14±80.52 μmol/L, mild group: 345.50±90.27 μmol/L, moderate group: 363.59±134.26 μmol/L, and severe group: 428.37±123.58 μmol/L and p=0.029). Multivariable logistic regression analyses showed that SUA was the independent risk factor for OSAHS (OR: 1.006, 95% CI: 1.001-1.011, p=0.020). Conclusions. The SUA level is significantly associated with the severity of OSAHS and should be controlled when managing OSAHS.</description><subject>Adult</subject><subject>Aged</subject><subject>Apnea</subject><subject>Atherosclerosis</subject><subject>Biomarkers - blood</subject><subject>Blood pressure</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiovascular disease</subject><subject>Cholesterol</subject><subject>Correlation analysis</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Female</subject><subject>Hemoglobin</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Insulin resistance</subject><subject>Lipids</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Metabolic syndrome</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Regression analysis</subject><subject>Renal function</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Sleep</subject><subject>Sleep apnea</subject><subject>Sleep apnea syndromes</subject><subject>Sleep Apnea, Obstructive - blood</subject><subject>Sleep Apnea, Obstructive - epidemiology</subject><subject>Sleep disorders</subject><subject>Studies</subject><subject>Type 2 diabetes</subject><subject>Uric acid</subject><subject>Uric Acid - blood</subject><issn>0278-0240</issn><issn>1875-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqNkktv1DAURiMEokNhxxpZYoMEoX7Eib1BioZHR6pUxAxry4lvOi5JnNpJq_wG_jSOZmiBFRvbko-O7-d7k-Qlwe8J4fyMYiLPMl4IRotHyYqIgqciZ_hxssK0ECmmGT5JnoVwjTGhMpNPkxNGqCA8K1bJzy34qUPfva1RWVuDNgFtegMDxKUf2xmVIbja6hEMurPjHn2z4QdyDbqswuinerS3gLYtwIDKoQedns-DWw5oO_fGuw6Q7dF6b3sIgL7q0UZtOKh28wCIoo9WVzBCeJ48aXQb4MVxP012nz_t1ufpxeWXzbq8SOtMyjEVYJoKSyZ0lQkijKh0DEoJrSRpjCzAEIlBYs0Ew1n8HgE5NbU0DdOUEHaafDhoh6nqwNSxHq9bNXjbaT8rp636-6a3e3XlblXOJeaMRsGbo8C7mwnCqDobamhb3YObgqKUM0ELwhf09T_otZt8H9MtFOYZoYw9UFe6BWX7xsV360WqyhxTlvOciki9O1C1dyF4aO5LJlgto6CWUVDHUYj4qz9j3sO_ex-Btwcg9sboO_ufOogMNPqBJllBcc5-AQ6GxQY</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Li, Zhibin</creator><creator>Li, Xuejun</creator><creator>Liu, Changqin</creator><creator>Chen, Zhongyun</creator><creator>Xie, Huan</creator><creator>Du, Chunmin</creator><creator>Lin, Tingting</creator><creator>Liu, Jing</creator><creator>Wang, Shunhua</creator><creator>Song, Haiqu</creator><creator>Zheng, Caiyu</creator><creator>Zheng, Silan</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6642-9780</orcidid><orcidid>https://orcid.org/0000-0001-8063-7906</orcidid></search><sort><creationdate>2019</creationdate><title>Serum Uric Acid Is Independently Associated with Risk of Obstructive Sleep Apnea-Hypopnea Syndrome in Chinese Patients with Type 2 Diabetes</title><author>Li, Zhibin ; Li, Xuejun ; Liu, Changqin ; Chen, Zhongyun ; Xie, Huan ; Du, Chunmin ; Lin, Tingting ; Liu, Jing ; Wang, Shunhua ; Song, Haiqu ; Zheng, Caiyu ; Zheng, Silan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-8edfb0938ab4818d8ba027212b91fd97ed190e90a383042018e62dc9df3a2113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Apnea</topic><topic>Atherosclerosis</topic><topic>Biomarkers - blood</topic><topic>Blood pressure</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiovascular disease</topic><topic>Cholesterol</topic><topic>Correlation analysis</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Female</topic><topic>Hemoglobin</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Insulin resistance</topic><topic>Lipids</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Metabolic syndrome</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Regression analysis</topic><topic>Renal function</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Sleep</topic><topic>Sleep apnea</topic><topic>Sleep apnea syndromes</topic><topic>Sleep Apnea, Obstructive - blood</topic><topic>Sleep Apnea, Obstructive - epidemiology</topic><topic>Sleep disorders</topic><topic>Studies</topic><topic>Type 2 diabetes</topic><topic>Uric acid</topic><topic>Uric Acid - blood</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Zhibin</creatorcontrib><creatorcontrib>Li, Xuejun</creatorcontrib><creatorcontrib>Liu, Changqin</creatorcontrib><creatorcontrib>Chen, Zhongyun</creatorcontrib><creatorcontrib>Xie, Huan</creatorcontrib><creatorcontrib>Du, Chunmin</creatorcontrib><creatorcontrib>Lin, Tingting</creatorcontrib><creatorcontrib>Liu, Jing</creatorcontrib><creatorcontrib>Wang, Shunhua</creatorcontrib><creatorcontrib>Song, Haiqu</creatorcontrib><creatorcontrib>Zheng, Caiyu</creatorcontrib><creatorcontrib>Zheng, Silan</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Disease markers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Zhibin</au><au>Li, Xuejun</au><au>Liu, Changqin</au><au>Chen, Zhongyun</au><au>Xie, Huan</au><au>Du, Chunmin</au><au>Lin, Tingting</au><au>Liu, Jing</au><au>Wang, Shunhua</au><au>Song, Haiqu</au><au>Zheng, Caiyu</au><au>Zheng, Silan</au><au>Dalamaga, Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum Uric Acid Is Independently Associated with Risk of Obstructive Sleep Apnea-Hypopnea Syndrome in Chinese Patients with Type 2 Diabetes</atitle><jtitle>Disease markers</jtitle><addtitle>Dis Markers</addtitle><date>2019</date><risdate>2019</risdate><volume>2019</volume><issue>2019</issue><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>0278-0240</issn><eissn>1875-8630</eissn><abstract>Purpose. We aimed to investigate the association between serum uric acid (SUA) levels and obstructive sleep apnea-hypopnea syndrome (OSAHS) in patients with type 2 diabetes. Methods. A cross-sectional study of 212 type 2 diabetes mellitus (T2DM) patients was conducted in Xiamen, China. All patients underwent polysomnography (PSG) recordings for OSAHS diagnosis. Patients were grouped according to the apnea-hypopnea index (AHI) as mild (5-14.9), moderate (15-29.9), and severe (≧30) OSAHS. Patients with AHI≤4.9 served as the control group. Weight, body mass index (BMI), SUA, liver function, renal function, blood pressure, lipid profiles, and glycemic parameters were measured. Results. A total of 158 patients (101 men and 57 women) with complete data were analyzed in this study. 127 patients were identified as OSAHS. Among the 127 patients with OSAHS, 56 (44.1%), 37 (29.1%), and 34 (26.8%) had mild, moderate, and severe OSAHS, respectively. Correlation analyses showed that the SUA level was significantly related to the apnea-hypopnea index (AHI) (r=0.194, p=0.016). The level of SUA was significantly higher among OSAHS patients compared to the control group (control group: 333.14±80.52 μmol/L, mild group: 345.50±90.27 μmol/L, moderate group: 363.59±134.26 μmol/L, and severe group: 428.37±123.58 μmol/L and p=0.029). Multivariable logistic regression analyses showed that SUA was the independent risk factor for OSAHS (OR: 1.006, 95% CI: 1.001-1.011, p=0.020). Conclusions. The SUA level is significantly associated with the severity of OSAHS and should be controlled when managing OSAHS.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>31281547</pmid><doi>10.1155/2019/4578327</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-6642-9780</orcidid><orcidid>https://orcid.org/0000-0001-8063-7906</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Apnea Atherosclerosis Biomarkers - blood Blood pressure Body mass Body mass index Body size Cardiovascular disease Cholesterol Correlation analysis Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - complications Diabetes Mellitus, Type 2 - epidemiology Female Hemoglobin Hospitals Humans Hypertension Insulin resistance Lipids Male Medical research Medicine, Experimental Metabolic syndrome Middle Aged Obesity Regression analysis Renal function Risk analysis Risk factors Sleep Sleep apnea Sleep apnea syndromes Sleep Apnea, Obstructive - blood Sleep Apnea, Obstructive - epidemiology Sleep disorders Studies Type 2 diabetes Uric acid Uric Acid - blood |
| title | Serum Uric Acid Is Independently Associated with Risk of Obstructive Sleep Apnea-Hypopnea Syndrome in Chinese Patients with Type 2 Diabetes |
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