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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| Published in: | Diabetologia Vol. 64; no. 3; pp. 668 - 680 |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.03.2021
Springer Nature B.V |
| Subjects: | |
| ISSN: | 0012-186X, 1432-0428, 1432-0428 |
| Online Access: | Get full text |
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| 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 |
|---|---|
| AbstractList | 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.
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.
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).
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. 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 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.AIMS/HYPOTHESISThe 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.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.METHODSPlasma 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.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).RESULTSAmong 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).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.CONCLUSIONS/INTERPRETATIONWe 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. Aims/hypothesisThe 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.MethodsPlasma 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.ResultsAmong 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/interpretationWe 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. |
| Author | Schneider, Fabrice Roussel, Ronan Potier, Louis Hadjadj, Samy Mohammedi, Kamel Rigalleau, Vincent Baillet-Blanco, Laurence Blanchard, Valentin Bertrand, Capucine Saulnier, Pierre-Jean Ragot, Stéphanie Marre, Michel Velho, Gilberto Gand, Elise Croyal, Mikaël Bocock, Olivia |
| Author_xml | – sequence: 1 givenname: Capucine surname: Bertrand fullname: Bertrand, Capucine organization: Département d’Endocrinologie, Diabétologie, Nutrition, Hôpital Haut-Lévêque – sequence: 2 givenname: Pierre-Jean surname: Saulnier fullname: Saulnier, Pierre-Jean organization: UFR de Médecine et Pharmacie, Université de Poitiers, CHU de Poitiers, Centre d’Investigation Clinique, Inserm, CIC 1402 – sequence: 3 givenname: Louis orcidid: 0000-0001-6268-7360 surname: Potier fullname: Potier, Louis organization: Assistance Publique – Hôpitaux de Paris, Bichat Hospital, DHU FIRE, Département d’Endocrinologie, Diabétologie, Nutrition, UFR de Médecine, Université de Paris, Centre de Recherche des Cordeliers, Inserm, Sorbonne Université, Université de Paris – sequence: 4 givenname: Mikaël surname: Croyal fullname: Croyal, Mikaël organization: INRA, CHU Nantes, UMR 1280, PhAN, IMAD, Nantes Université, CRNH-O, Mass Spectrometry Core Facility – sequence: 5 givenname: Valentin surname: Blanchard fullname: Blanchard, Valentin organization: CRNH-O, Mass Spectrometry Core Facility – sequence: 6 givenname: Elise surname: Gand fullname: Gand, Elise organization: CHU de Poitiers, Centre d’Investigation Clinique – sequence: 7 givenname: Stéphanie surname: Ragot fullname: Ragot, Stéphanie organization: UFR de Médecine et Pharmacie, Université de Poitiers, CHU de Poitiers, Centre d’Investigation Clinique, Inserm, CIC 1402 – sequence: 8 givenname: Fabrice surname: Schneider fullname: Schneider, Fabrice organization: UFR de Médecine et Pharmacie, Université de Poitiers, Département de Chirurgie Vasculaire, CHU de Poitiers – sequence: 9 givenname: Olivia surname: Bocock fullname: Bocock, Olivia organization: Département d’Endocrinologie, Diabétologie, Nutrition, Hôpital Haut-Lévêque – sequence: 10 givenname: Laurence surname: Baillet-Blanco fullname: Baillet-Blanco, Laurence organization: Département d’Endocrinologie, Diabétologie, Nutrition, Hôpital Haut-Lévêque – sequence: 11 givenname: Gilberto surname: Velho fullname: Velho, Gilberto organization: Centre de Recherche des Cordeliers, Inserm, Sorbonne Université, Université de Paris – sequence: 12 givenname: Michel orcidid: 0000-0002-3071-1837 surname: Marre fullname: Marre, Michel organization: UFR de Médecine, Université de Paris, Centre de Recherche des Cordeliers, Inserm, Sorbonne Université, Université de Paris, CMC Ambroise Paré – sequence: 13 givenname: Ronan orcidid: 0000-0003-2292-8363 surname: Roussel fullname: Roussel, Ronan organization: Assistance Publique – Hôpitaux de Paris, Bichat Hospital, DHU FIRE, Département d’Endocrinologie, Diabétologie, Nutrition, UFR de Médecine, Université de Paris, Centre de Recherche des Cordeliers, Inserm, Sorbonne Université, Université de Paris – sequence: 14 givenname: Vincent surname: Rigalleau fullname: Rigalleau, Vincent organization: Département d’Endocrinologie, Diabétologie, Nutrition, Hôpital Haut-Lévêque, UFR de Médecine, Université de Bordeaux, Centre de Recherche Inserm - Université de Bordeaux U1219 ‘Bordeaux Population Health’ – sequence: 15 givenname: Samy orcidid: 0000-0001-7110-6994 surname: Hadjadj fullname: Hadjadj, Samy organization: Institut du Thorax, Inserm, CNRS, Université de Nantes – sequence: 16 givenname: Kamel orcidid: 0000-0001-6139-1197 surname: Mohammedi fullname: Mohammedi, Kamel email: km.mmohammedi@gmail.com organization: Département d’Endocrinologie, Diabétologie, Nutrition, Hôpital Haut-Lévêque, CMC Ambroise Paré, Inserm U1034, Biologie des Maladies Cardiovasculaires |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33409569$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | Springer-Verlag GmbH Germany, part of Springer Nature 2021 Springer-Verlag GmbH Germany, part of Springer Nature 2021. |
| Copyright_xml | – notice: Springer-Verlag GmbH Germany, part of Springer Nature 2021 – notice: Springer-Verlag GmbH Germany, part of Springer Nature 2021. |
| CorporateAuthor | on behalf of the SURDIAGENE Study Group SURDIAGENE Study Group |
| CorporateAuthor_xml | – name: on behalf of the SURDIAGENE Study Group – name: SURDIAGENE Study Group |
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| DOI | 10.1007/s00125-020-05326-x |
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| Discipline | Medicine |
| EISSN | 1432-0428 |
| EndPage | 680 |
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| Genre | Research Support, Non-U.S. Gov't Journal Article |
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| Keywords | Type 2 diabetes Lipoproteins Limb loss Lower-limb amputation Peripheral arterial disease Lipids Revascularisation Apolipoproteins |
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| PublicationSubtitle | Clinical, Translational and Experimental Diabetes and Metabolism |
| PublicationTitle | Diabetologia |
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| References | Sampson, Fowkes, McDermott (CR5) 2014; 9 Arya, Khakharia, Binney (CR40) 2018; 137 Mach, Baigent, Catapano (CR38) 2020; 41 Rosenson, Brewer, Ansell (CR29) 2016; 13 Voight, Peloso, Orho-Melander (CR31) 2012; 380 Mooradian (CR9) 2009; 5 Khera, Cuchel, de la Llera-Moya (CR26) 2011; 364 Saleheen, Scott, Javad (CR27) 2015; 3 Bartlett, Predazzi, Williams (CR24) 2016; 9 Aday, Lawler, Cook, Ridker, Mora, Pradhan (CR21) 2018; 138 Soria-Florido, Castaner, Lassale (CR37) 2020; 141 Di Angelantonio, Gao, Pennells (CR23) 2012; 307 Boekholdt, Arsenault, Hovingh (CR25) 2013; 128 Grant, Meigs (CR30) 2007; 30 Criqui, Aboyans (CR1) 2015; 116 Holmes, Asselbergs, Palmer (CR32) 2015; 36 Langsted, Kamstrup, Nordestgaard (CR15) 2019; 40 Lincoff, Nicholls, Riesmeyer (CR35) 2017; 376 Kennedy, Solomon, Manolio (CR19) 2005; 165 Mohammedi, Woodward, Hirakawa (CR17) 2016; 39 Fowkes, Rudan, Rudan (CR4) 2013; 382 Mueller, Hinterreiter, Luft, Poelz, Haltmayer, Dieplinger (CR7) 2014; 59 Fosse, Hartemann-Heurtier, Jacqueminet, Ha Van, Grimaldi, Fagot-Campagna (CR6) 2009; 26 Hackam, Hegele (CR11) 2019; 50 Beckman, Duncan, Damrauer (CR22) 2019; 140 Nativel, Potier, Alexandre (CR2) 2018; 17 Croyal, Kaabia, Leon (CR13) 2018; 44 Schwartz, Olsson, Abt (CR34) 2012; 367 Mohammedi, Woodward, Hirakawa (CR8) 2016; 15 Michos, McEvoy, Blumenthal (CR10) 2019; 381 Jude, Oyibo, Chalmers, Boulton (CR3) 2001; 24 Koekemoer, Codd, Masca (CR28) 2017; 37 Bowman, Hopewell, Chen (CR36) 2017; 377 CR20 Barter, Caulfield, Eriksson (CR33) 2007; 357 Adler, Stevens, Neil, Stratton, Boulton, Holman (CR16) 2002; 25 Saulnier, Gand, Velho (CR12) 2017; 40 Croyal, Ouguerram, Passard (CR14) 2015; 35 Althouse, Abbott, Forker (CR18) 2014; 37 Welsh, Celis-Morales, Brown (CR39) 2019; 140 F Mach (5326_CR38) 2020; 41 RS Rosenson (5326_CR29) 2016; 13 L Bowman (5326_CR36) 2017; 377 S Arya (5326_CR40) 2018; 137 K Mohammedi (5326_CR8) 2016; 15 AV Khera (5326_CR26) 2011; 364 E Di Angelantonio (5326_CR23) 2012; 307 M Croyal (5326_CR14) 2015; 35 AM Lincoff (5326_CR35) 2017; 376 M Nativel (5326_CR2) 2018; 17 RW Grant (5326_CR30) 2007; 30 FG Fowkes (5326_CR4) 2013; 382 M Croyal (5326_CR13) 2018; 44 ED Michos (5326_CR10) 2019; 381 SM Boekholdt (5326_CR25) 2013; 128 5326_CR20 PJ Barter (5326_CR33) 2007; 357 AD Althouse (5326_CR18) 2014; 37 MH Criqui (5326_CR1) 2015; 116 AI Adler (5326_CR16) 2002; 25 T Mueller (5326_CR7) 2014; 59 K Mohammedi (5326_CR17) 2016; 39 BF Voight (5326_CR31) 2012; 380 PJ Saulnier (5326_CR12) 2017; 40 MT Soria-Florido (5326_CR37) 2020; 141 DG Hackam (5326_CR11) 2019; 50 JA Beckman (5326_CR22) 2019; 140 S Fosse (5326_CR6) 2009; 26 AW Aday (5326_CR21) 2018; 138 GG Schwartz (5326_CR34) 2012; 367 M Kennedy (5326_CR19) 2005; 165 AL Koekemoer (5326_CR28) 2017; 37 C Welsh (5326_CR39) 2019; 140 UK Sampson (5326_CR5) 2014; 9 J Bartlett (5326_CR24) 2016; 9 MV Holmes (5326_CR32) 2015; 36 D Saleheen (5326_CR27) 2015; 3 AD Mooradian (5326_CR9) 2009; 5 A Langsted (5326_CR15) 2019; 40 EB Jude (5326_CR3) 2001; 24 |
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New Insights From the Framingham Offspring Study publication-title: Circ Cardiovasc Qual Outcomes doi: 10.1161/CIRCOUTCOMES.115.002436 – volume: 30 start-page: 479 year: 2007 end-page: 484 ident: CR30 article-title: Prevalence and treatment of low HDL cholesterol among primary care patients with type 2 diabetes: an unmet challenge for cardiovascular risk reduction publication-title: Diabetes Care doi: 10.2337/dc06-1961 – volume: 128 start-page: 1504 year: 2013 end-page: 1512 ident: CR25 article-title: Levels and changes of HDL cholesterol and apolipoprotein A-I in relation to risk of cardiovascular events among statin-treated patients: a meta-analysis publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.113.002670 – volume: 25 start-page: 894 year: 2002 end-page: 899 ident: CR16 article-title: UKPDS 59: hyperglycemia and other potentially modifiable risk factors for peripheral vascular disease in type 2 diabetes publication-title: Diabetes Care doi: 10.2337/diacare.25.5.894 – volume: 380 start-page: 572 year: 2012 end-page: 580 ident: CR31 article-title: Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study publication-title: Lancet doi: 10.1016/S0140-6736(12)60312-2 – volume: 17 start-page: 138 year: 2018 ident: CR2 article-title: Lower extremity arterial disease in patients with diabetes: a contemporary narrative review publication-title: Cardiovasc Diabetol doi: 10.1186/s12933-018-0781-1 – volume: 40 start-page: 367 year: 2017 end-page: 374 ident: CR12 article-title: Association of Circulating Biomarkers (Adrenomedullin, TNFR1, and NT-proBNP) With Renal Function Decline in Patients With Type 2 Diabetes: A French Prospective Cohort publication-title: Diabetes Care doi: 10.2337/dc16-1571 – volume: 138 start-page: 2330 year: 2018 end-page: 2341 ident: CR21 article-title: Lipoprotein Particle Profiles, Standard Lipids, and Peripheral Artery Disease Incidence publication-title: Circulation doi: 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The lipid profile has not been fully investigated in individuals with peripheral artery disease (PAD). We aimed to evaluate the relationship... The lipid profile has not been fully investigated in individuals with peripheral artery disease (PAD). We aimed to evaluate the relationship between plasma... Aims/hypothesisThe lipid profile has not been fully investigated in individuals with peripheral artery disease (PAD). We aimed to evaluate the relationship... |
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| SubjectTerms | 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 |
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| Title | Plasma concentrations of lipoproteins and risk of lower-limb peripheral artery disease in people with type 2 diabetes: the SURDIAGENE study |
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