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Non-HDL-cholesterol in an adolescent diabetes population
Background Screening for dyslipidemia poses some challenges. Nonfasting lipid profiles frequently have elevated triglycerides. In addition, in the standard lipid profile, low-density lipoprotein (LDL) cholesterol is a calculated value rather than a direct measurement and is triglyceride dependent. N...
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Published in: | Journal of clinical lipidology 2014-03, Vol.8 (2), p.194-198 |
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description | Background Screening for dyslipidemia poses some challenges. Nonfasting lipid profiles frequently have elevated triglycerides. In addition, in the standard lipid profile, low-density lipoprotein (LDL) cholesterol is a calculated value rather than a direct measurement and is triglyceride dependent. Non–high-density lipoprotein cholesterol (non-HDL-C) is an alternative method to assess for dyslipidemia and provides a single estimate of all atherogenic apolipoprotein B–containing lipoproteins. Objective To calculate the non-HDL-C in adolescents with diabetes and to evaluate risk factors associated with an elevated non-HDL-C and to compare the prevalence of dyslipidemia, defined by non-HDL-C, with the prevalence of dyslipidemia defined by LDL cholesterol in the SEARCH study. Methods Data were collected from 502 adolescent patients with diabetes and analyzed. Non-HDL-C was calculated and levels were categorized into normal, borderline, and high based on the National Cholesterol Education Program. Results Lipid profile was performed in 370 patients, 92% of whom had type 1 diabetes. In the 339 subjects with type 1 diabetes, mean hemoglobin A1c (HbA1c) of those with normal non-HDL-C (8.6%) was significantly lower than the HbA1c of those with high non-HDL-C (9.6%) ( P = .005). Subjects with normal non-HDL-C had a lower body mass index (BMI) z-score (0.4 ± 0.8) than the group with borderline and high non-HDL-C (0.75 ± 0.9%), P = .002. In the 31 subjects with type 2 diabetes, the mean HbA1c of those with normal non-HDL-C (8.1%) and those with borderline non-HDL-C (7.0%) was significantly lower than the mean HbA1c of those with high non-HDL-C (11.8%) ( P = .04, and P = .009, respectively). In addition, the subjects with normal non-HDL-C had a lower BMI z-score (1.3 ± 1.3) than the group with borderline and high non-HDL-C (2.2 ± 0.6%), P = .03. The prevalence of dyslipidemia using non-HDL-C was similar to prevalence rates using LDL-C in the SEARCH study. Conclusions In adolescents with diabetes, non-HDL-C is increased with poorer diabetes control and higher BMI. It appears to be a superior nonfasting lipid screening test for adolescents with diabetes that can be readily calculated on a randomly obtained rather than fasting sample. |
doi_str_mv | 10.1016/j.jacl.2013.12.006 |
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Nonfasting lipid profiles frequently have elevated triglycerides. In addition, in the standard lipid profile, low-density lipoprotein (LDL) cholesterol is a calculated value rather than a direct measurement and is triglyceride dependent. Non–high-density lipoprotein cholesterol (non-HDL-C) is an alternative method to assess for dyslipidemia and provides a single estimate of all atherogenic apolipoprotein B–containing lipoproteins. Objective To calculate the non-HDL-C in adolescents with diabetes and to evaluate risk factors associated with an elevated non-HDL-C and to compare the prevalence of dyslipidemia, defined by non-HDL-C, with the prevalence of dyslipidemia defined by LDL cholesterol in the SEARCH study. Methods Data were collected from 502 adolescent patients with diabetes and analyzed. Non-HDL-C was calculated and levels were categorized into normal, borderline, and high based on the National Cholesterol Education Program. Results Lipid profile was performed in 370 patients, 92% of whom had type 1 diabetes. In the 339 subjects with type 1 diabetes, mean hemoglobin A1c (HbA1c) of those with normal non-HDL-C (8.6%) was significantly lower than the HbA1c of those with high non-HDL-C (9.6%) ( P = .005). Subjects with normal non-HDL-C had a lower body mass index (BMI) z-score (0.4 ± 0.8) than the group with borderline and high non-HDL-C (0.75 ± 0.9%), P = .002. In the 31 subjects with type 2 diabetes, the mean HbA1c of those with normal non-HDL-C (8.1%) and those with borderline non-HDL-C (7.0%) was significantly lower than the mean HbA1c of those with high non-HDL-C (11.8%) ( P = .04, and P = .009, respectively). In addition, the subjects with normal non-HDL-C had a lower BMI z-score (1.3 ± 1.3) than the group with borderline and high non-HDL-C (2.2 ± 0.6%), P = .03. The prevalence of dyslipidemia using non-HDL-C was similar to prevalence rates using LDL-C in the SEARCH study. Conclusions In adolescents with diabetes, non-HDL-C is increased with poorer diabetes control and higher BMI. It appears to be a superior nonfasting lipid screening test for adolescents with diabetes that can be readily calculated on a randomly obtained rather than fasting sample.</description><identifier>ISSN: 1933-2874</identifier><identifier>EISSN: 1876-4789</identifier><identifier>DOI: 10.1016/j.jacl.2013.12.006</identifier><identifier>PMID: 24636179</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adolescents ; Cardiovascular ; Cholesterol - blood ; Cholesterol, HDL - blood ; Diabetes ; Diabetes Mellitus, Type 1 - blood ; Diabetes Mellitus, Type 1 - epidemiology ; Diabetes Mellitus, Type 1 - pathology ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes Mellitus, Type 2 - pathology ; Dyslipidemia ; Dyslipidemias - blood ; Fasting ; Female ; Humans ; Lipids - blood ; Male ; Non-HDL-cholesterol ; Risk Factors</subject><ispartof>Journal of clinical lipidology, 2014-03, Vol.8 (2), p.194-198</ispartof><rights>National Lipid Association</rights><rights>2014 National Lipid Association</rights><rights>Copyright © 2014 National Lipid Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-408c8756971326810ca9cfca5e665f478424d312c75d123ba6662eca9a44914c3</citedby><cites>FETCH-LOGICAL-c411t-408c8756971326810ca9cfca5e665f478424d312c75d123ba6662eca9a44914c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24636179$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kuryan, Ranita E., MD</creatorcontrib><creatorcontrib>Jacobson, Marc S., MD</creatorcontrib><creatorcontrib>Frank, Graeme R., MD</creatorcontrib><title>Non-HDL-cholesterol in an adolescent diabetes population</title><title>Journal of clinical lipidology</title><addtitle>J Clin Lipidol</addtitle><description>Background Screening for dyslipidemia poses some challenges. Nonfasting lipid profiles frequently have elevated triglycerides. In addition, in the standard lipid profile, low-density lipoprotein (LDL) cholesterol is a calculated value rather than a direct measurement and is triglyceride dependent. Non–high-density lipoprotein cholesterol (non-HDL-C) is an alternative method to assess for dyslipidemia and provides a single estimate of all atherogenic apolipoprotein B–containing lipoproteins. Objective To calculate the non-HDL-C in adolescents with diabetes and to evaluate risk factors associated with an elevated non-HDL-C and to compare the prevalence of dyslipidemia, defined by non-HDL-C, with the prevalence of dyslipidemia defined by LDL cholesterol in the SEARCH study. Methods Data were collected from 502 adolescent patients with diabetes and analyzed. Non-HDL-C was calculated and levels were categorized into normal, borderline, and high based on the National Cholesterol Education Program. Results Lipid profile was performed in 370 patients, 92% of whom had type 1 diabetes. In the 339 subjects with type 1 diabetes, mean hemoglobin A1c (HbA1c) of those with normal non-HDL-C (8.6%) was significantly lower than the HbA1c of those with high non-HDL-C (9.6%) ( P = .005). Subjects with normal non-HDL-C had a lower body mass index (BMI) z-score (0.4 ± 0.8) than the group with borderline and high non-HDL-C (0.75 ± 0.9%), P = .002. In the 31 subjects with type 2 diabetes, the mean HbA1c of those with normal non-HDL-C (8.1%) and those with borderline non-HDL-C (7.0%) was significantly lower than the mean HbA1c of those with high non-HDL-C (11.8%) ( P = .04, and P = .009, respectively). In addition, the subjects with normal non-HDL-C had a lower BMI z-score (1.3 ± 1.3) than the group with borderline and high non-HDL-C (2.2 ± 0.6%), P = .03. The prevalence of dyslipidemia using non-HDL-C was similar to prevalence rates using LDL-C in the SEARCH study. Conclusions In adolescents with diabetes, non-HDL-C is increased with poorer diabetes control and higher BMI. It appears to be a superior nonfasting lipid screening test for adolescents with diabetes that can be readily calculated on a randomly obtained rather than fasting sample.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Cardiovascular</subject><subject>Cholesterol - blood</subject><subject>Cholesterol, HDL - blood</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 1 - blood</subject><subject>Diabetes Mellitus, Type 1 - epidemiology</subject><subject>Diabetes Mellitus, Type 1 - pathology</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diabetes Mellitus, Type 2 - pathology</subject><subject>Dyslipidemia</subject><subject>Dyslipidemias - blood</subject><subject>Fasting</subject><subject>Female</subject><subject>Humans</subject><subject>Lipids - blood</subject><subject>Male</subject><subject>Non-HDL-cholesterol</subject><subject>Risk Factors</subject><issn>1933-2874</issn><issn>1876-4789</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kc1qGzEUhUVoiVMnL9BF8bKbmerqb2YgBILbxgXTLpKshay5pprKI0eaCfjto8FOFlkUBBLinMO53yXkM9ASKKhvXdkZ60tGgZfASkrVGbmAulKFqOrmQ343nBesrsSMfEqpo1TKispzMmNCcQVVc0Hq36EvVt_Xhf0bPKYBY_AL1y9MPu30Y7EfFq0zGxwwLfZhP3ozuNBfko9b4xNene45efz542G5KtZ_7n4tb3OgABgKQWtbV1I1FXCmaqDWNHZrjUSl5Db3FEy0HJitZAuMb4xSimEWGSEaEJbPyddj7j6GpzE31DuXS3lvegxj0iBprfK4QmQpO0ptDClF3Op9dDsTDxqonojpTk_E9ERMA9OZWDZ9OeWPmx22b5ZXRFlwfRRgnvLZYdTJOuwtti6iHXQb3P_zb97ZrXe9s8b_wwOmLoyxz_w06JQN-n7a2bQy4JRyKTl_ATrMjz4</recordid><startdate>201403</startdate><enddate>201403</enddate><creator>Kuryan, Ranita E., MD</creator><creator>Jacobson, Marc S., MD</creator><creator>Frank, Graeme R., MD</creator><general>Elsevier Inc</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>7X8</scope></search><sort><creationdate>201403</creationdate><title>Non-HDL-cholesterol in an adolescent diabetes population</title><author>Kuryan, Ranita E., MD ; Jacobson, Marc S., MD ; Frank, Graeme R., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-408c8756971326810ca9cfca5e665f478424d312c75d123ba6662eca9a44914c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Cardiovascular</topic><topic>Cholesterol - blood</topic><topic>Cholesterol, HDL - blood</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 1 - blood</topic><topic>Diabetes Mellitus, Type 1 - epidemiology</topic><topic>Diabetes Mellitus, Type 1 - pathology</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diabetes Mellitus, Type 2 - pathology</topic><topic>Dyslipidemia</topic><topic>Dyslipidemias - blood</topic><topic>Fasting</topic><topic>Female</topic><topic>Humans</topic><topic>Lipids - blood</topic><topic>Male</topic><topic>Non-HDL-cholesterol</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuryan, Ranita E., MD</creatorcontrib><creatorcontrib>Jacobson, Marc S., MD</creatorcontrib><creatorcontrib>Frank, Graeme R., MD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical lipidology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuryan, Ranita E., MD</au><au>Jacobson, Marc S., MD</au><au>Frank, Graeme R., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-HDL-cholesterol in an adolescent diabetes population</atitle><jtitle>Journal of clinical lipidology</jtitle><addtitle>J Clin Lipidol</addtitle><date>2014-03</date><risdate>2014</risdate><volume>8</volume><issue>2</issue><spage>194</spage><epage>198</epage><pages>194-198</pages><issn>1933-2874</issn><eissn>1876-4789</eissn><abstract>Background Screening for dyslipidemia poses some challenges. Nonfasting lipid profiles frequently have elevated triglycerides. In addition, in the standard lipid profile, low-density lipoprotein (LDL) cholesterol is a calculated value rather than a direct measurement and is triglyceride dependent. Non–high-density lipoprotein cholesterol (non-HDL-C) is an alternative method to assess for dyslipidemia and provides a single estimate of all atherogenic apolipoprotein B–containing lipoproteins. Objective To calculate the non-HDL-C in adolescents with diabetes and to evaluate risk factors associated with an elevated non-HDL-C and to compare the prevalence of dyslipidemia, defined by non-HDL-C, with the prevalence of dyslipidemia defined by LDL cholesterol in the SEARCH study. Methods Data were collected from 502 adolescent patients with diabetes and analyzed. Non-HDL-C was calculated and levels were categorized into normal, borderline, and high based on the National Cholesterol Education Program. Results Lipid profile was performed in 370 patients, 92% of whom had type 1 diabetes. In the 339 subjects with type 1 diabetes, mean hemoglobin A1c (HbA1c) of those with normal non-HDL-C (8.6%) was significantly lower than the HbA1c of those with high non-HDL-C (9.6%) ( P = .005). Subjects with normal non-HDL-C had a lower body mass index (BMI) z-score (0.4 ± 0.8) than the group with borderline and high non-HDL-C (0.75 ± 0.9%), P = .002. In the 31 subjects with type 2 diabetes, the mean HbA1c of those with normal non-HDL-C (8.1%) and those with borderline non-HDL-C (7.0%) was significantly lower than the mean HbA1c of those with high non-HDL-C (11.8%) ( P = .04, and P = .009, respectively). In addition, the subjects with normal non-HDL-C had a lower BMI z-score (1.3 ± 1.3) than the group with borderline and high non-HDL-C (2.2 ± 0.6%), P = .03. The prevalence of dyslipidemia using non-HDL-C was similar to prevalence rates using LDL-C in the SEARCH study. Conclusions In adolescents with diabetes, non-HDL-C is increased with poorer diabetes control and higher BMI. It appears to be a superior nonfasting lipid screening test for adolescents with diabetes that can be readily calculated on a randomly obtained rather than fasting sample.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>24636179</pmid><doi>10.1016/j.jacl.2013.12.006</doi><tpages>5</tpages></addata></record> |
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subjects | Adolescent Adolescents Cardiovascular Cholesterol - blood Cholesterol, HDL - blood Diabetes Diabetes Mellitus, Type 1 - blood Diabetes Mellitus, Type 1 - epidemiology Diabetes Mellitus, Type 1 - pathology Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - epidemiology Diabetes Mellitus, Type 2 - pathology Dyslipidemia Dyslipidemias - blood Fasting Female Humans Lipids - blood Male Non-HDL-cholesterol Risk Factors |
title | Non-HDL-cholesterol in an adolescent diabetes population |
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