Metabolic syndrome-related conditions among people with and without gout: prevalence and resource use
ABSTRACT Objective: A cohort of employees with gout were compared to those without to evaluate the differences in prevalence of disorders associated with metabolic syndrome (both those considered underlying and those associated with end-stage morbidity and mortality) as well as the cost of annual me...
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| Veröffentlicht in: | Current medical research and opinion 2007-03, Vol.23 (3), p.623-630 |
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| creator | Novak, Suzanne Melkonian, Arthur K. Patel, Pankaj A. Kleinman, Nathan L. Joseph-Ridge, Nancy Brook, Richard A. |
| description | ABSTRACT
Objective: A cohort of employees with gout were compared to those without to evaluate the differences in prevalence of disorders associated with metabolic syndrome (both those considered underlying and those associated with end-stage morbidity and mortality) as well as the cost of annual medical services (AMS) required for treatment of these conditions.
Methods: Employees with gout were identified by International Classification of Diseases‑9 (ICD‑9) code during the calendar years of 2001–2004 and compared to propensity-score matched employees without gout using the Human Capital Management Services Research Reference Database. T‑tests were then used to compare prevalence and average AMS of comorbid disorders defined from Agency for Healthcare and Research Quality (AHRQ) diagnostic categories.
Results: ‘Hyperlipidemia’, ‘essential hypertension’, and ‘diabetes mellitus without complications’ ranked in the top 10 categories of mean number of AMS for employees with gout using AHRQ specific categories; the values were higher than found for those without gout (all p < 0.0001). ‘Essential hypertension’, ‘hyperlipidemia’, ‘diabetes mellitus without complications’, and ‘coronary atherosclerosis’ showed an approximate 2:1 prevalence ratio for employees with gout over those without ( p ≤ 0.05). Main study limitations include the small number of subjects with gout, retrospective study design, and possible miscoding and/or non-coding of individuals with the studied disorders.
Conclusion: These results support the continued need for patients with gout and their clinicians to be aware of the possibility of the increased risk of associated metabolic syndrome and related comorbidities in these individuals, emphasizing the need for prevention when possible and treatment when necessary. |
| doi_str_mv | 10.1185/030079906X167651 |
| format | Article |
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Objective: A cohort of employees with gout were compared to those without to evaluate the differences in prevalence of disorders associated with metabolic syndrome (both those considered underlying and those associated with end-stage morbidity and mortality) as well as the cost of annual medical services (AMS) required for treatment of these conditions.
Methods: Employees with gout were identified by International Classification of Diseases‑9 (ICD‑9) code during the calendar years of 2001–2004 and compared to propensity-score matched employees without gout using the Human Capital Management Services Research Reference Database. T‑tests were then used to compare prevalence and average AMS of comorbid disorders defined from Agency for Healthcare and Research Quality (AHRQ) diagnostic categories.
Results: ‘Hyperlipidemia’, ‘essential hypertension’, and ‘diabetes mellitus without complications’ ranked in the top 10 categories of mean number of AMS for employees with gout using AHRQ specific categories; the values were higher than found for those without gout (all p < 0.0001). ‘Essential hypertension’, ‘hyperlipidemia’, ‘diabetes mellitus without complications’, and ‘coronary atherosclerosis’ showed an approximate 2:1 prevalence ratio for employees with gout over those without ( p ≤ 0.05). Main study limitations include the small number of subjects with gout, retrospective study design, and possible miscoding and/or non-coding of individuals with the studied disorders.
Conclusion: These results support the continued need for patients with gout and their clinicians to be aware of the possibility of the increased risk of associated metabolic syndrome and related comorbidities in these individuals, emphasizing the need for prevention when possible and treatment when necessary.</description><identifier>ISSN: 0300-7995</identifier><identifier>EISSN: 1473-4877</identifier><identifier>DOI: 10.1185/030079906X167651</identifier><identifier>PMID: 17355743</identifier><identifier>CODEN: CMROCX</identifier><language>eng</language><publisher>England: Informa UK Ltd</publisher><subject>Adult ; Age Distribution ; Cardiovascular Diseases - diagnosis ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - therapy ; Cohort Studies ; Comorbidity ; Employment - statistics & numerical data ; Epidemiology ; Female ; Gout ; Gout - diagnosis ; Gout - drug therapy ; Gout - epidemiology ; Health Surveys ; Humans ; Hyperlipidemias - diagnosis ; Hyperlipidemias - epidemiology ; Hyperlipidemias - therapy ; Hypertension - diagnosis ; Hypertension - epidemiology ; Hypertension - therapy ; Hyperuricemia ; International Classification of Diseases ; Male ; Metabolic syndrome ; Metabolic Syndrome - diagnosis ; Metabolic Syndrome - epidemiology ; Metabolic Syndrome - therapy ; Middle Aged ; Prevalence ; Prognosis ; Risk Assessment ; Severity of Illness Index ; Sex Distribution ; Sick Leave - economics ; United States - epidemiology</subject><ispartof>Current medical research and opinion, 2007-03, Vol.23 (3), p.623-630</ispartof><rights>2007 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted 2007</rights><rights>Copyright Librapharm Mar 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-1a4115378bea2dd3f73e7933a547f0e746568bc6c8512ca7a613d6f18101ec33</citedby><cites>FETCH-LOGICAL-c427t-1a4115378bea2dd3f73e7933a547f0e746568bc6c8512ca7a613d6f18101ec33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1185/030079906X167651$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1185/030079906X167651$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,59624,59730,60413,60519,61198,61233,61379,61414</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17355743$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Novak, Suzanne</creatorcontrib><creatorcontrib>Melkonian, Arthur K.</creatorcontrib><creatorcontrib>Patel, Pankaj A.</creatorcontrib><creatorcontrib>Kleinman, Nathan L.</creatorcontrib><creatorcontrib>Joseph-Ridge, Nancy</creatorcontrib><creatorcontrib>Brook, Richard A.</creatorcontrib><title>Metabolic syndrome-related conditions among people with and without gout: prevalence and resource use</title><title>Current medical research and opinion</title><addtitle>Curr Med Res Opin</addtitle><description>ABSTRACT
Objective: A cohort of employees with gout were compared to those without to evaluate the differences in prevalence of disorders associated with metabolic syndrome (both those considered underlying and those associated with end-stage morbidity and mortality) as well as the cost of annual medical services (AMS) required for treatment of these conditions.
Methods: Employees with gout were identified by International Classification of Diseases‑9 (ICD‑9) code during the calendar years of 2001–2004 and compared to propensity-score matched employees without gout using the Human Capital Management Services Research Reference Database. T‑tests were then used to compare prevalence and average AMS of comorbid disorders defined from Agency for Healthcare and Research Quality (AHRQ) diagnostic categories.
Results: ‘Hyperlipidemia’, ‘essential hypertension’, and ‘diabetes mellitus without complications’ ranked in the top 10 categories of mean number of AMS for employees with gout using AHRQ specific categories; the values were higher than found for those without gout (all p < 0.0001). ‘Essential hypertension’, ‘hyperlipidemia’, ‘diabetes mellitus without complications’, and ‘coronary atherosclerosis’ showed an approximate 2:1 prevalence ratio for employees with gout over those without ( p ≤ 0.05). Main study limitations include the small number of subjects with gout, retrospective study design, and possible miscoding and/or non-coding of individuals with the studied disorders.
Conclusion: These results support the continued need for patients with gout and their clinicians to be aware of the possibility of the increased risk of associated metabolic syndrome and related comorbidities in these individuals, emphasizing the need for prevention when possible and treatment when necessary.</description><subject>Adult</subject><subject>Age Distribution</subject><subject>Cardiovascular Diseases - diagnosis</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cardiovascular Diseases - therapy</subject><subject>Cohort Studies</subject><subject>Comorbidity</subject><subject>Employment - statistics & numerical data</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Gout</subject><subject>Gout - diagnosis</subject><subject>Gout - drug therapy</subject><subject>Gout - epidemiology</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Hyperlipidemias - diagnosis</subject><subject>Hyperlipidemias - epidemiology</subject><subject>Hyperlipidemias - therapy</subject><subject>Hypertension - diagnosis</subject><subject>Hypertension - epidemiology</subject><subject>Hypertension - therapy</subject><subject>Hyperuricemia</subject><subject>International Classification of Diseases</subject><subject>Male</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - diagnosis</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic Syndrome - therapy</subject><subject>Middle Aged</subject><subject>Prevalence</subject><subject>Prognosis</subject><subject>Risk Assessment</subject><subject>Severity of Illness Index</subject><subject>Sex Distribution</subject><subject>Sick Leave - economics</subject><subject>United States - epidemiology</subject><issn>0300-7995</issn><issn>1473-4877</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM1v1DAUxC0EotvCnROKOHAL9YvjOCknVFFAKuqlh96st85LN5VjB9tptf893u5KFZXoxR-a34xGw9gH4F8AWnnKBeeq63hzA41qJLxiK6iVKOtWqddstZPLrMsjdhzjHedQtV33lh2BElKqWqwY_aaEa29HU8St64OfqAxkMVFfGO_6MY3exQIn726LmfxsqXgY06ZA1z8-_JKK23ycFXOge7TkDD2KgaJfQv4skd6xNwPaSO8P9wm7vvh-ff6zvLz68ev822Vp6kqlErAGkEK1a8Kq78WgBKlOCJS1GjipupFNuzaNaSVUBhU2IPpmgBY4kBHihH3ex87B_1koJj2N0ZC16MgvUSteSSk6nsFPz8C73NXlarraDQqyajPE95AJPsZAg57DOGHYauB6N79-Pn-2fDzkLuuJ-ifDYe8MfN0Doxt8mPDBB9vrhFvrwxDQmTFq8UL82T_uDaFNG4OBnvr_1_wXowulmQ</recordid><startdate>200703</startdate><enddate>200703</enddate><creator>Novak, Suzanne</creator><creator>Melkonian, Arthur K.</creator><creator>Patel, Pankaj A.</creator><creator>Kleinman, Nathan L.</creator><creator>Joseph-Ridge, Nancy</creator><creator>Brook, Richard A.</creator><general>Informa UK Ltd</general><general>Taylor & Francis</general><general>Informa Healthcare</general><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>200703</creationdate><title>Metabolic syndrome-related conditions among people with and without gout: prevalence and resource use</title><author>Novak, Suzanne ; Melkonian, Arthur K. ; Patel, Pankaj A. ; Kleinman, Nathan L. ; Joseph-Ridge, Nancy ; Brook, Richard A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-1a4115378bea2dd3f73e7933a547f0e746568bc6c8512ca7a613d6f18101ec33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adult</topic><topic>Age Distribution</topic><topic>Cardiovascular Diseases - diagnosis</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Cardiovascular Diseases - therapy</topic><topic>Cohort Studies</topic><topic>Comorbidity</topic><topic>Employment - statistics & numerical data</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Gout</topic><topic>Gout - diagnosis</topic><topic>Gout - drug therapy</topic><topic>Gout - epidemiology</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Hyperlipidemias - diagnosis</topic><topic>Hyperlipidemias - epidemiology</topic><topic>Hyperlipidemias - therapy</topic><topic>Hypertension - diagnosis</topic><topic>Hypertension - epidemiology</topic><topic>Hypertension - therapy</topic><topic>Hyperuricemia</topic><topic>International Classification of Diseases</topic><topic>Male</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - diagnosis</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic Syndrome - therapy</topic><topic>Middle Aged</topic><topic>Prevalence</topic><topic>Prognosis</topic><topic>Risk Assessment</topic><topic>Severity of Illness Index</topic><topic>Sex Distribution</topic><topic>Sick Leave - economics</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Novak, Suzanne</creatorcontrib><creatorcontrib>Melkonian, Arthur K.</creatorcontrib><creatorcontrib>Patel, Pankaj A.</creatorcontrib><creatorcontrib>Kleinman, Nathan L.</creatorcontrib><creatorcontrib>Joseph-Ridge, Nancy</creatorcontrib><creatorcontrib>Brook, Richard A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Science Database (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Current medical research and opinion</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Novak, Suzanne</au><au>Melkonian, Arthur K.</au><au>Patel, Pankaj A.</au><au>Kleinman, Nathan L.</au><au>Joseph-Ridge, Nancy</au><au>Brook, Richard A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolic syndrome-related conditions among people with and without gout: prevalence and resource use</atitle><jtitle>Current medical research and opinion</jtitle><addtitle>Curr Med Res Opin</addtitle><date>2007-03</date><risdate>2007</risdate><volume>23</volume><issue>3</issue><spage>623</spage><epage>630</epage><pages>623-630</pages><issn>0300-7995</issn><eissn>1473-4877</eissn><coden>CMROCX</coden><abstract>ABSTRACT
Objective: A cohort of employees with gout were compared to those without to evaluate the differences in prevalence of disorders associated with metabolic syndrome (both those considered underlying and those associated with end-stage morbidity and mortality) as well as the cost of annual medical services (AMS) required for treatment of these conditions.
Methods: Employees with gout were identified by International Classification of Diseases‑9 (ICD‑9) code during the calendar years of 2001–2004 and compared to propensity-score matched employees without gout using the Human Capital Management Services Research Reference Database. T‑tests were then used to compare prevalence and average AMS of comorbid disorders defined from Agency for Healthcare and Research Quality (AHRQ) diagnostic categories.
Results: ‘Hyperlipidemia’, ‘essential hypertension’, and ‘diabetes mellitus without complications’ ranked in the top 10 categories of mean number of AMS for employees with gout using AHRQ specific categories; the values were higher than found for those without gout (all p < 0.0001). ‘Essential hypertension’, ‘hyperlipidemia’, ‘diabetes mellitus without complications’, and ‘coronary atherosclerosis’ showed an approximate 2:1 prevalence ratio for employees with gout over those without ( p ≤ 0.05). Main study limitations include the small number of subjects with gout, retrospective study design, and possible miscoding and/or non-coding of individuals with the studied disorders.
Conclusion: These results support the continued need for patients with gout and their clinicians to be aware of the possibility of the increased risk of associated metabolic syndrome and related comorbidities in these individuals, emphasizing the need for prevention when possible and treatment when necessary.</abstract><cop>England</cop><pub>Informa UK Ltd</pub><pmid>17355743</pmid><doi>10.1185/030079906X167651</doi><tpages>8</tpages></addata></record> |
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| ispartof | Current medical research and opinion, 2007-03, Vol.23 (3), p.623-630 |
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| source | MEDLINE; Taylor & Francis Medical Library - CRKN; Taylor & Francis Journals Complete |
| subjects | Adult Age Distribution Cardiovascular Diseases - diagnosis Cardiovascular Diseases - epidemiology Cardiovascular Diseases - therapy Cohort Studies Comorbidity Employment - statistics & numerical data Epidemiology Female Gout Gout - diagnosis Gout - drug therapy Gout - epidemiology Health Surveys Humans Hyperlipidemias - diagnosis Hyperlipidemias - epidemiology Hyperlipidemias - therapy Hypertension - diagnosis Hypertension - epidemiology Hypertension - therapy Hyperuricemia International Classification of Diseases Male Metabolic syndrome Metabolic Syndrome - diagnosis Metabolic Syndrome - epidemiology Metabolic Syndrome - therapy Middle Aged Prevalence Prognosis Risk Assessment Severity of Illness Index Sex Distribution Sick Leave - economics United States - epidemiology |
| title | Metabolic syndrome-related conditions among people with and without gout: prevalence and resource use |
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