Plasma concentrations of lipoproteins and risk of lower-limb peripheral artery disease in people with type 2 diabetes: the SURDIAGENE study
Aims/hypothesis The lipid profile has not been fully investigated in individuals with peripheral artery disease (PAD). We aimed to evaluate the relationship between plasma concentrations of lipoproteins and the prevalence of lower-limb PAD at baseline and its incidence during follow-up in people wit...
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| Veröffentlicht in: | Diabetologia 2021-03, Vol.64 (3), p.668-680 |
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| creator | Bertrand, Capucine Saulnier, Pierre-Jean Potier, Louis Croyal, Mikaël Blanchard, Valentin Gand, Elise Ragot, Stéphanie Schneider, Fabrice Bocock, Olivia Baillet-Blanco, Laurence Velho, Gilberto Marre, Michel Roussel, Ronan Rigalleau, Vincent Hadjadj, Samy Mohammedi, Kamel |
| description | Aims/hypothesis
The lipid profile has not been fully investigated in individuals with peripheral artery disease (PAD). We aimed to evaluate the relationship between plasma concentrations of lipoproteins and the prevalence of lower-limb PAD at baseline and its incidence during follow-up in people with type 2 diabetes.
Methods
Plasma concentrations of total cholesterol, HDL-cholesterol, triacylglycerol and apolipoprotein (Apo) A-I, ApoA-II, ApoB-100 and Apo(a) were measured at baseline using colorimetric or MS methods in the SURDIAGENE cohort. Total cholesterol/HDL-cholesterol ratio, non-HDL-cholesterol and LDL-cholesterol were estimated using computation formulas. Logistic and Cox proportional hazard regression models were fitted to estimate OR or HR, with related 95% CI, for baseline prevalence or incidence of major PAD (lower-limb amputation or requirement of revascularisation) during follow-up by increasing lipoprotein tertiles, after adjustment for key confounders.
Results
Among 1468 participants (women 42%, mean ± SD age 65 ± 11 years, duration of diabetes 14 ± 10 years at baseline), 129 (8.8%) had a baseline history of major PAD. Major PAD was less prevalent at baseline in the highest (vs lowest) tertile of HDL-cholesterol (OR 0.42 [95% CI 0.26, 0.71],
p
= 0.001) and ApoA-I (OR 0.39 [95% CI 0.23, 0.67],
p
= 0.0007), and more frequent in the highest tertile of total cholesterol/HDL-cholesterol ratio (OR 1.95 [95% CI 1.18, 3.24],
p
= 0.01). Among 1339 participants without a history of PAD at baseline, incident PAD occurred in 97 (7.2%) during a median (25th–75th percentile) duration of follow-up of 7.1 (4.4–10.7) years, corresponding to 9685 person-years and an incidence rate of 9.8 (95% CI 8.0, 12.0) per 1000 person-years. The risk of incident PAD was lower in the top (vs bottom) tertile of HDL-cholesterol (HR 0.54 [95% CI 0.30, 0.95],
p
= 0.03) or ApoA-I (HR 0.50 [95% CI 0.28, 0.86],
p
= 0.01) and higher in the top tertile of total cholesterol/HDL-cholesterol ratio (HR 2.81 [95% CI 1.61, 5.04],
p
= 0.0002) and non-HDL-cholesterol (HR 1.80 [95% CI 1.06, 3.12],
p
= 0.03).
Conclusions/interpretation
We reported independent associations between HDL-cholesterol, ApoA-I, total cholesterol/HDL-cholesterol ratio or non-HDL-cholesterol and the prevalence or the incidence of major PAD in people with type 2 diabetes. Our findings provide a picture of lipoprotein profile in people with type 2 diabetes.
Graphical abstract |
| doi_str_mv | 10.1007/s00125-020-05326-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2476128872</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2486623404</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-6843f15de4e8db8d41c889486135c1a6f27c5f4b493f0780c659d07498e6aab3</originalsourceid><addsrcrecordid>eNp9kc1u1DAYRS1ERaeFF2CBLLHpxtR_cRx2VZmWShUgKBI7y3G-MC5JHGxH7TxDXxq3U0Biwcqyzvmufy5CLxl9wyitjxOljFeEckpoJbgit0_QiknBCZVcP0Wre06YVt_20UFK15RSUUn1DO0LIWlTqWaF7j4NNo0WuzA5mHK02Ycp4dDjwc9hjiGDL3s7dTj69OMBhBuIZPBji2eIft5AtAO2MUPc4s4nsAmwnwoM8wD4xucNztsZMC_UtpAhvcV5A_jL18_vLk7O1x_WOOWl2z5He70dErx4XA_R1dn66vQ9ufx4fnF6ckmcZE0mSkvRs6oDCbprdSeZ07qRWjFROWZVz2tX9bKVjehpralTVdPRWjYalLWtOERHu9jyup8LpGxGnxwMg50gLMlwWSvGta55UV__o16HJU7lcsXSSvHyj7JYfGe5GFKK0Js5-tHGrWHU3Ddldk2Z0pR5aMrclqFXj9FLO0L3Z-R3NUUQOyEVNH2H-Pfs_8T-Anv7n24</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2486623404</pqid></control><display><type>article</type><title>Plasma concentrations of lipoproteins and risk of lower-limb peripheral artery disease in people with type 2 diabetes: the SURDIAGENE study</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Bertrand, Capucine ; Saulnier, Pierre-Jean ; Potier, Louis ; Croyal, Mikaël ; Blanchard, Valentin ; Gand, Elise ; Ragot, Stéphanie ; Schneider, Fabrice ; Bocock, Olivia ; Baillet-Blanco, Laurence ; Velho, Gilberto ; Marre, Michel ; Roussel, Ronan ; Rigalleau, Vincent ; Hadjadj, Samy ; Mohammedi, Kamel</creator><creatorcontrib>Bertrand, Capucine ; Saulnier, Pierre-Jean ; Potier, Louis ; Croyal, Mikaël ; Blanchard, Valentin ; Gand, Elise ; Ragot, Stéphanie ; Schneider, Fabrice ; Bocock, Olivia ; Baillet-Blanco, Laurence ; Velho, Gilberto ; Marre, Michel ; Roussel, Ronan ; Rigalleau, Vincent ; Hadjadj, Samy ; Mohammedi, Kamel ; SURDIAGENE Study Group ; on behalf of the SURDIAGENE Study Group</creatorcontrib><description>Aims/hypothesis
The lipid profile has not been fully investigated in individuals with peripheral artery disease (PAD). We aimed to evaluate the relationship between plasma concentrations of lipoproteins and the prevalence of lower-limb PAD at baseline and its incidence during follow-up in people with type 2 diabetes.
Methods
Plasma concentrations of total cholesterol, HDL-cholesterol, triacylglycerol and apolipoprotein (Apo) A-I, ApoA-II, ApoB-100 and Apo(a) were measured at baseline using colorimetric or MS methods in the SURDIAGENE cohort. Total cholesterol/HDL-cholesterol ratio, non-HDL-cholesterol and LDL-cholesterol were estimated using computation formulas. Logistic and Cox proportional hazard regression models were fitted to estimate OR or HR, with related 95% CI, for baseline prevalence or incidence of major PAD (lower-limb amputation or requirement of revascularisation) during follow-up by increasing lipoprotein tertiles, after adjustment for key confounders.
Results
Among 1468 participants (women 42%, mean ± SD age 65 ± 11 years, duration of diabetes 14 ± 10 years at baseline), 129 (8.8%) had a baseline history of major PAD. Major PAD was less prevalent at baseline in the highest (vs lowest) tertile of HDL-cholesterol (OR 0.42 [95% CI 0.26, 0.71],
p
= 0.001) and ApoA-I (OR 0.39 [95% CI 0.23, 0.67],
p
= 0.0007), and more frequent in the highest tertile of total cholesterol/HDL-cholesterol ratio (OR 1.95 [95% CI 1.18, 3.24],
p
= 0.01). Among 1339 participants without a history of PAD at baseline, incident PAD occurred in 97 (7.2%) during a median (25th–75th percentile) duration of follow-up of 7.1 (4.4–10.7) years, corresponding to 9685 person-years and an incidence rate of 9.8 (95% CI 8.0, 12.0) per 1000 person-years. The risk of incident PAD was lower in the top (vs bottom) tertile of HDL-cholesterol (HR 0.54 [95% CI 0.30, 0.95],
p
= 0.03) or ApoA-I (HR 0.50 [95% CI 0.28, 0.86],
p
= 0.01) and higher in the top tertile of total cholesterol/HDL-cholesterol ratio (HR 2.81 [95% CI 1.61, 5.04],
p
= 0.0002) and non-HDL-cholesterol (HR 1.80 [95% CI 1.06, 3.12],
p
= 0.03).
Conclusions/interpretation
We reported independent associations between HDL-cholesterol, ApoA-I, total cholesterol/HDL-cholesterol ratio or non-HDL-cholesterol and the prevalence or the incidence of major PAD in people with type 2 diabetes. Our findings provide a picture of lipoprotein profile in people with type 2 diabetes.
Graphical abstract</description><identifier>ISSN: 0012-186X</identifier><identifier>EISSN: 1432-0428</identifier><identifier>DOI: 10.1007/s00125-020-05326-x</identifier><identifier>PMID: 33409569</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Amputation ; Apolipoprotein A-I - blood ; Apolipoproteins ; Biomarkers - blood ; Cholesterol ; Cholesterol, HDL - blood ; Cholesterol, LDL - blood ; Colorimetry ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - epidemiology ; Female ; France - epidemiology ; High density lipoprotein ; Human Physiology ; Humans ; Incidence ; Internal Medicine ; Lipoproteins ; Low density lipoprotein ; Lower Extremity - blood supply ; Male ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Middle Aged ; Peripheral Arterial Disease - blood ; Peripheral Arterial Disease - diagnosis ; Peripheral Arterial Disease - epidemiology ; Peripheral Arterial Disease - surgery ; Prevalence ; Prognosis ; Prospective Studies ; Regression analysis ; Risk Assessment ; Risk Factors ; Time Factors ; Vascular diseases</subject><ispartof>Diabetologia, 2021-03, Vol.64 (3), p.668-680</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-6843f15de4e8db8d41c889486135c1a6f27c5f4b493f0780c659d07498e6aab3</citedby><cites>FETCH-LOGICAL-c419t-6843f15de4e8db8d41c889486135c1a6f27c5f4b493f0780c659d07498e6aab3</cites><orcidid>0000-0001-6268-7360 ; 0000-0001-6139-1197 ; 0000-0001-7110-6994 ; 0000-0002-3071-1837 ; 0000-0003-2292-8363</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00125-020-05326-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00125-020-05326-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33409569$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bertrand, Capucine</creatorcontrib><creatorcontrib>Saulnier, Pierre-Jean</creatorcontrib><creatorcontrib>Potier, Louis</creatorcontrib><creatorcontrib>Croyal, Mikaël</creatorcontrib><creatorcontrib>Blanchard, Valentin</creatorcontrib><creatorcontrib>Gand, Elise</creatorcontrib><creatorcontrib>Ragot, Stéphanie</creatorcontrib><creatorcontrib>Schneider, Fabrice</creatorcontrib><creatorcontrib>Bocock, Olivia</creatorcontrib><creatorcontrib>Baillet-Blanco, Laurence</creatorcontrib><creatorcontrib>Velho, Gilberto</creatorcontrib><creatorcontrib>Marre, Michel</creatorcontrib><creatorcontrib>Roussel, Ronan</creatorcontrib><creatorcontrib>Rigalleau, Vincent</creatorcontrib><creatorcontrib>Hadjadj, Samy</creatorcontrib><creatorcontrib>Mohammedi, Kamel</creatorcontrib><creatorcontrib>SURDIAGENE Study Group</creatorcontrib><creatorcontrib>on behalf of the SURDIAGENE Study Group</creatorcontrib><title>Plasma concentrations of lipoproteins and risk of lower-limb peripheral artery disease in people with type 2 diabetes: the SURDIAGENE study</title><title>Diabetologia</title><addtitle>Diabetologia</addtitle><addtitle>Diabetologia</addtitle><description>Aims/hypothesis
The lipid profile has not been fully investigated in individuals with peripheral artery disease (PAD). We aimed to evaluate the relationship between plasma concentrations of lipoproteins and the prevalence of lower-limb PAD at baseline and its incidence during follow-up in people with type 2 diabetes.
Methods
Plasma concentrations of total cholesterol, HDL-cholesterol, triacylglycerol and apolipoprotein (Apo) A-I, ApoA-II, ApoB-100 and Apo(a) were measured at baseline using colorimetric or MS methods in the SURDIAGENE cohort. Total cholesterol/HDL-cholesterol ratio, non-HDL-cholesterol and LDL-cholesterol were estimated using computation formulas. Logistic and Cox proportional hazard regression models were fitted to estimate OR or HR, with related 95% CI, for baseline prevalence or incidence of major PAD (lower-limb amputation or requirement of revascularisation) during follow-up by increasing lipoprotein tertiles, after adjustment for key confounders.
Results
Among 1468 participants (women 42%, mean ± SD age 65 ± 11 years, duration of diabetes 14 ± 10 years at baseline), 129 (8.8%) had a baseline history of major PAD. Major PAD was less prevalent at baseline in the highest (vs lowest) tertile of HDL-cholesterol (OR 0.42 [95% CI 0.26, 0.71],
p
= 0.001) and ApoA-I (OR 0.39 [95% CI 0.23, 0.67],
p
= 0.0007), and more frequent in the highest tertile of total cholesterol/HDL-cholesterol ratio (OR 1.95 [95% CI 1.18, 3.24],
p
= 0.01). Among 1339 participants without a history of PAD at baseline, incident PAD occurred in 97 (7.2%) during a median (25th–75th percentile) duration of follow-up of 7.1 (4.4–10.7) years, corresponding to 9685 person-years and an incidence rate of 9.8 (95% CI 8.0, 12.0) per 1000 person-years. The risk of incident PAD was lower in the top (vs bottom) tertile of HDL-cholesterol (HR 0.54 [95% CI 0.30, 0.95],
p
= 0.03) or ApoA-I (HR 0.50 [95% CI 0.28, 0.86],
p
= 0.01) and higher in the top tertile of total cholesterol/HDL-cholesterol ratio (HR 2.81 [95% CI 1.61, 5.04],
p
= 0.0002) and non-HDL-cholesterol (HR 1.80 [95% CI 1.06, 3.12],
p
= 0.03).
Conclusions/interpretation
We reported independent associations between HDL-cholesterol, ApoA-I, total cholesterol/HDL-cholesterol ratio or non-HDL-cholesterol and the prevalence or the incidence of major PAD in people with type 2 diabetes. Our findings provide a picture of lipoprotein profile in people with type 2 diabetes.
Graphical abstract</description><subject>Aged</subject><subject>Amputation</subject><subject>Apolipoprotein A-I - blood</subject><subject>Apolipoproteins</subject><subject>Biomarkers - blood</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, LDL - blood</subject><subject>Colorimetry</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Female</subject><subject>France - epidemiology</subject><subject>High density lipoprotein</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Incidence</subject><subject>Internal Medicine</subject><subject>Lipoproteins</subject><subject>Low density lipoprotein</subject><subject>Lower Extremity - blood supply</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Middle Aged</subject><subject>Peripheral Arterial Disease - blood</subject><subject>Peripheral Arterial Disease - diagnosis</subject><subject>Peripheral Arterial Disease - epidemiology</subject><subject>Peripheral Arterial Disease - surgery</subject><subject>Prevalence</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Regression analysis</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Time Factors</subject><subject>Vascular diseases</subject><issn>0012-186X</issn><issn>1432-0428</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kc1u1DAYRS1ERaeFF2CBLLHpxtR_cRx2VZmWShUgKBI7y3G-MC5JHGxH7TxDXxq3U0Biwcqyzvmufy5CLxl9wyitjxOljFeEckpoJbgit0_QiknBCZVcP0Wre06YVt_20UFK15RSUUn1DO0LIWlTqWaF7j4NNo0WuzA5mHK02Ycp4dDjwc9hjiGDL3s7dTj69OMBhBuIZPBji2eIft5AtAO2MUPc4s4nsAmwnwoM8wD4xucNztsZMC_UtpAhvcV5A_jL18_vLk7O1x_WOOWl2z5He70dErx4XA_R1dn66vQ9ufx4fnF6ckmcZE0mSkvRs6oDCbprdSeZ07qRWjFROWZVz2tX9bKVjehpralTVdPRWjYalLWtOERHu9jyup8LpGxGnxwMg50gLMlwWSvGta55UV__o16HJU7lcsXSSvHyj7JYfGe5GFKK0Js5-tHGrWHU3Ddldk2Z0pR5aMrclqFXj9FLO0L3Z-R3NUUQOyEVNH2H-Pfs_8T-Anv7n24</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Bertrand, Capucine</creator><creator>Saulnier, Pierre-Jean</creator><creator>Potier, Louis</creator><creator>Croyal, Mikaël</creator><creator>Blanchard, Valentin</creator><creator>Gand, Elise</creator><creator>Ragot, Stéphanie</creator><creator>Schneider, Fabrice</creator><creator>Bocock, Olivia</creator><creator>Baillet-Blanco, Laurence</creator><creator>Velho, Gilberto</creator><creator>Marre, Michel</creator><creator>Roussel, Ronan</creator><creator>Rigalleau, Vincent</creator><creator>Hadjadj, Samy</creator><creator>Mohammedi, Kamel</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6268-7360</orcidid><orcidid>https://orcid.org/0000-0001-6139-1197</orcidid><orcidid>https://orcid.org/0000-0001-7110-6994</orcidid><orcidid>https://orcid.org/0000-0002-3071-1837</orcidid><orcidid>https://orcid.org/0000-0003-2292-8363</orcidid></search><sort><creationdate>20210301</creationdate><title>Plasma concentrations of lipoproteins and risk of lower-limb peripheral artery disease in people with type 2 diabetes: the SURDIAGENE study</title><author>Bertrand, Capucine ; Saulnier, Pierre-Jean ; Potier, Louis ; Croyal, Mikaël ; Blanchard, Valentin ; Gand, Elise ; Ragot, Stéphanie ; Schneider, Fabrice ; Bocock, Olivia ; Baillet-Blanco, Laurence ; Velho, Gilberto ; Marre, Michel ; Roussel, Ronan ; Rigalleau, Vincent ; Hadjadj, Samy ; Mohammedi, Kamel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-6843f15de4e8db8d41c889486135c1a6f27c5f4b493f0780c659d07498e6aab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aged</topic><topic>Amputation</topic><topic>Apolipoprotein A-I - blood</topic><topic>Apolipoproteins</topic><topic>Biomarkers - blood</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Cholesterol, LDL - blood</topic><topic>Colorimetry</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - diagnosis</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Female</topic><topic>France - epidemiology</topic><topic>High density lipoprotein</topic><topic>Human Physiology</topic><topic>Humans</topic><topic>Incidence</topic><topic>Internal Medicine</topic><topic>Lipoproteins</topic><topic>Low density lipoprotein</topic><topic>Lower Extremity - blood supply</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Middle Aged</topic><topic>Peripheral Arterial Disease - blood</topic><topic>Peripheral Arterial Disease - diagnosis</topic><topic>Peripheral Arterial Disease - epidemiology</topic><topic>Peripheral Arterial Disease - surgery</topic><topic>Prevalence</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Regression analysis</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Time Factors</topic><topic>Vascular diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bertrand, Capucine</creatorcontrib><creatorcontrib>Saulnier, Pierre-Jean</creatorcontrib><creatorcontrib>Potier, Louis</creatorcontrib><creatorcontrib>Croyal, Mikaël</creatorcontrib><creatorcontrib>Blanchard, Valentin</creatorcontrib><creatorcontrib>Gand, Elise</creatorcontrib><creatorcontrib>Ragot, Stéphanie</creatorcontrib><creatorcontrib>Schneider, Fabrice</creatorcontrib><creatorcontrib>Bocock, Olivia</creatorcontrib><creatorcontrib>Baillet-Blanco, Laurence</creatorcontrib><creatorcontrib>Velho, Gilberto</creatorcontrib><creatorcontrib>Marre, Michel</creatorcontrib><creatorcontrib>Roussel, Ronan</creatorcontrib><creatorcontrib>Rigalleau, Vincent</creatorcontrib><creatorcontrib>Hadjadj, Samy</creatorcontrib><creatorcontrib>Mohammedi, Kamel</creatorcontrib><creatorcontrib>SURDIAGENE Study Group</creatorcontrib><creatorcontrib>on behalf of the SURDIAGENE Study Group</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>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>MEDLINE - Academic</collection><jtitle>Diabetologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bertrand, Capucine</au><au>Saulnier, Pierre-Jean</au><au>Potier, Louis</au><au>Croyal, Mikaël</au><au>Blanchard, Valentin</au><au>Gand, Elise</au><au>Ragot, Stéphanie</au><au>Schneider, Fabrice</au><au>Bocock, Olivia</au><au>Baillet-Blanco, Laurence</au><au>Velho, Gilberto</au><au>Marre, Michel</au><au>Roussel, Ronan</au><au>Rigalleau, Vincent</au><au>Hadjadj, Samy</au><au>Mohammedi, Kamel</au><aucorp>SURDIAGENE Study Group</aucorp><aucorp>on behalf of the SURDIAGENE Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasma concentrations of lipoproteins and risk of lower-limb peripheral artery disease in people with type 2 diabetes: the SURDIAGENE study</atitle><jtitle>Diabetologia</jtitle><stitle>Diabetologia</stitle><addtitle>Diabetologia</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>64</volume><issue>3</issue><spage>668</spage><epage>680</epage><pages>668-680</pages><issn>0012-186X</issn><eissn>1432-0428</eissn><abstract>Aims/hypothesis
The lipid profile has not been fully investigated in individuals with peripheral artery disease (PAD). We aimed to evaluate the relationship between plasma concentrations of lipoproteins and the prevalence of lower-limb PAD at baseline and its incidence during follow-up in people with type 2 diabetes.
Methods
Plasma concentrations of total cholesterol, HDL-cholesterol, triacylglycerol and apolipoprotein (Apo) A-I, ApoA-II, ApoB-100 and Apo(a) were measured at baseline using colorimetric or MS methods in the SURDIAGENE cohort. Total cholesterol/HDL-cholesterol ratio, non-HDL-cholesterol and LDL-cholesterol were estimated using computation formulas. Logistic and Cox proportional hazard regression models were fitted to estimate OR or HR, with related 95% CI, for baseline prevalence or incidence of major PAD (lower-limb amputation or requirement of revascularisation) during follow-up by increasing lipoprotein tertiles, after adjustment for key confounders.
Results
Among 1468 participants (women 42%, mean ± SD age 65 ± 11 years, duration of diabetes 14 ± 10 years at baseline), 129 (8.8%) had a baseline history of major PAD. Major PAD was less prevalent at baseline in the highest (vs lowest) tertile of HDL-cholesterol (OR 0.42 [95% CI 0.26, 0.71],
p
= 0.001) and ApoA-I (OR 0.39 [95% CI 0.23, 0.67],
p
= 0.0007), and more frequent in the highest tertile of total cholesterol/HDL-cholesterol ratio (OR 1.95 [95% CI 1.18, 3.24],
p
= 0.01). Among 1339 participants without a history of PAD at baseline, incident PAD occurred in 97 (7.2%) during a median (25th–75th percentile) duration of follow-up of 7.1 (4.4–10.7) years, corresponding to 9685 person-years and an incidence rate of 9.8 (95% CI 8.0, 12.0) per 1000 person-years. The risk of incident PAD was lower in the top (vs bottom) tertile of HDL-cholesterol (HR 0.54 [95% CI 0.30, 0.95],
p
= 0.03) or ApoA-I (HR 0.50 [95% CI 0.28, 0.86],
p
= 0.01) and higher in the top tertile of total cholesterol/HDL-cholesterol ratio (HR 2.81 [95% CI 1.61, 5.04],
p
= 0.0002) and non-HDL-cholesterol (HR 1.80 [95% CI 1.06, 3.12],
p
= 0.03).
Conclusions/interpretation
We reported independent associations between HDL-cholesterol, ApoA-I, total cholesterol/HDL-cholesterol ratio or non-HDL-cholesterol and the prevalence or the incidence of major PAD in people with type 2 diabetes. Our findings provide a picture of lipoprotein profile in people with type 2 diabetes.
Graphical abstract</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33409569</pmid><doi>10.1007/s00125-020-05326-x</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6268-7360</orcidid><orcidid>https://orcid.org/0000-0001-6139-1197</orcidid><orcidid>https://orcid.org/0000-0001-7110-6994</orcidid><orcidid>https://orcid.org/0000-0002-3071-1837</orcidid><orcidid>https://orcid.org/0000-0003-2292-8363</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0012-186X |
| ispartof | Diabetologia, 2021-03, Vol.64 (3), p.668-680 |
| issn | 0012-186X 1432-0428 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2476128872 |
| source | MEDLINE; SpringerLink Journals |
| subjects | Aged Amputation Apolipoprotein A-I - blood Apolipoproteins Biomarkers - blood Cholesterol Cholesterol, HDL - blood Cholesterol, LDL - blood Colorimetry Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - epidemiology Female France - epidemiology High density lipoprotein Human Physiology Humans Incidence Internal Medicine Lipoproteins Low density lipoprotein Lower Extremity - blood supply Male Medicine Medicine & Public Health Metabolic Diseases Middle Aged Peripheral Arterial Disease - blood Peripheral Arterial Disease - diagnosis Peripheral Arterial Disease - epidemiology Peripheral Arterial Disease - surgery Prevalence Prognosis Prospective Studies Regression analysis Risk Assessment Risk Factors Time Factors Vascular diseases |
| title | Plasma concentrations of lipoproteins and risk of lower-limb peripheral artery disease in people with type 2 diabetes: the SURDIAGENE study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T19%3A04%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Plasma%20concentrations%20of%20lipoproteins%20and%20risk%20of%20lower-limb%20peripheral%20artery%20disease%20in%20people%20with%20type%202%20diabetes:%20the%20SURDIAGENE%20study&rft.jtitle=Diabetologia&rft.au=Bertrand,%20Capucine&rft.aucorp=SURDIAGENE%20Study%20Group&rft.date=2021-03-01&rft.volume=64&rft.issue=3&rft.spage=668&rft.epage=680&rft.pages=668-680&rft.issn=0012-186X&rft.eissn=1432-0428&rft_id=info:doi/10.1007/s00125-020-05326-x&rft_dat=%3Cproquest_cross%3E2486623404%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2486623404&rft_id=info:pmid/33409569&rfr_iscdi=true |