Determinants of Lipid Parameters in Patients without Diagnosed Cardiovascular Disease-Results of the Polish Arm of the EUROASPIRE V Survey
To assess the determinants of lipid parameters in primary care patients without diagnosed cardiovascular disease (CVD), a cross-sectional study was conducted during 2018-2019 with a total of 200 patients. The following lipid parameters were measured: total cholesterol (TC), low-density lipoprotein c...
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| Veröffentlicht in: | Journal of clinical medicine 2023-04, Vol.12 (7), p.2738 |
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| creator | Ratajczak, Jakub Kubica, Aldona Michalski, Piotr Pietrzykowski, Łukasz Białczyk, Aleksandra Kosobucka-Ozdoba, Agata Bergmann, Katarzyna Buczkowski, Krzysztof Krintus, Magdalena Jankowski, Piotr Kubica, Jacek |
| description | To assess the determinants of lipid parameters in primary care patients without diagnosed cardiovascular disease (CVD), a cross-sectional study was conducted during 2018-2019 with a total of 200 patients. The following lipid parameters were measured: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), small, dense LDL (sdLDL-C), and lipoprotein (a) (Lp(a)). Predictors of elevated and adequately controlled lipid parameters were assessed with logistic regression analysis. Older age was related to higher risk of TC ≥ 6.2 mmol/L [OR 1.03 (95% CI 1.0-1.05)], sdLDL-C ≥ 1.0 mmol/L [OR 1.05 (95% CI 1.0-1.1)], and decreased risk of Lp(a) ≥ 50 mg/dL [OR 0.97 (95% CI 0.94-0.99)]. Patients with diabetes mellitus (DM) had increased probability of TG ≥ 2.25 mmol/L [OR 3.77 (95% CI 1.34-10.6)] and Lp(a) ≥ 50 mg/dL [OR 2.97 (1.34-6.10)] as well as adequate control of TG and Lp(a). Higher material status was related to lower risk of TC ≥ 6.2 mmol/L [OR 0.19 (95% CI 0.04-0.82)] and LDL-C ≥ 3.6 mmol/L [OR 0.33 (95% CI 0.12-0.92)]. High BMI was related to increased [OR 1.14 (95% CI 1.02-1.29)], and female gender [OR 0.33 (95% CI 0.12-0.96)] and hypertension [OR 0.29 (95% CI 0.1-0.87)] to decreased risk of TG ≥ 2.25 mmol/L [OR 1.14 (95% CI 1.02-1.29)]. Taking lipid-lowering drugs (LLD) was associated with LDL-C < 2.6 mmol/L [OR 2.1 (95% CI 1.05-4.19)] and Lp(a) < 30 mg/dL [OR 0.48 (95% CI 0.25-0.93)]. Physical activity was related to LDL-C < 2.6 mmol/L [OR 2.02 (95% CI 1.02-3.98)]. Higher abdominal circumference was associated with decreased risk of TG < 1.7 mmol/L [OR 0.96 (95% CI 0.93-0.99)]. Elevated lipid parameters were related to age, gender, material status, BMI, history of DM, and hypertension. Adequate control was associated with age, education, physical activity, LLD, history of DM, and abdominal circumference. |
| doi_str_mv | 10.3390/jcm12072738 |
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The following lipid parameters were measured: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), small, dense LDL (sdLDL-C), and lipoprotein (a) (Lp(a)). Predictors of elevated and adequately controlled lipid parameters were assessed with logistic regression analysis. Older age was related to higher risk of TC ≥ 6.2 mmol/L [OR 1.03 (95% CI 1.0-1.05)], sdLDL-C ≥ 1.0 mmol/L [OR 1.05 (95% CI 1.0-1.1)], and decreased risk of Lp(a) ≥ 50 mg/dL [OR 0.97 (95% CI 0.94-0.99)]. Patients with diabetes mellitus (DM) had increased probability of TG ≥ 2.25 mmol/L [OR 3.77 (95% CI 1.34-10.6)] and Lp(a) ≥ 50 mg/dL [OR 2.97 (1.34-6.10)] as well as adequate control of TG and Lp(a). Higher material status was related to lower risk of TC ≥ 6.2 mmol/L [OR 0.19 (95% CI 0.04-0.82)] and LDL-C ≥ 3.6 mmol/L [OR 0.33 (95% CI 0.12-0.92)]. High BMI was related to increased [OR 1.14 (95% CI 1.02-1.29)], and female gender [OR 0.33 (95% CI 0.12-0.96)] and hypertension [OR 0.29 (95% CI 0.1-0.87)] to decreased risk of TG ≥ 2.25 mmol/L [OR 1.14 (95% CI 1.02-1.29)]. Taking lipid-lowering drugs (LLD) was associated with LDL-C < 2.6 mmol/L [OR 2.1 (95% CI 1.05-4.19)] and Lp(a) < 30 mg/dL [OR 0.48 (95% CI 0.25-0.93)]. Physical activity was related to LDL-C < 2.6 mmol/L [OR 2.02 (95% CI 1.02-3.98)]. Higher abdominal circumference was associated with decreased risk of TG < 1.7 mmol/L [OR 0.96 (95% CI 0.93-0.99)]. Elevated lipid parameters were related to age, gender, material status, BMI, history of DM, and hypertension. Adequate control was associated with age, education, physical activity, LLD, history of DM, and abdominal circumference.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm12072738</identifier><identifier>PMID: 37048821</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Abdomen ; Blood lipids ; Blood pressure ; Body mass index ; Cholesterol ; Clinical medicine ; Control ; Creatinine ; Demographic aspects ; Glucose ; High density lipoprotein ; Hyperlipidemia ; Laboratories ; Lipids ; Lipoproteins ; Metabolic disorders ; Obesity ; Primary care ; Regression analysis ; Risk factors ; Statins ; Triglycerides</subject><ispartof>Journal of clinical medicine, 2023-04, Vol.12 (7), p.2738</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-1b299554b2e0588ff218620b4af3f589ad7368985eeeef13af4b19d2a51ebda43</citedby><cites>FETCH-LOGICAL-c477t-1b299554b2e0588ff218620b4af3f589ad7368985eeeef13af4b19d2a51ebda43</cites><orcidid>0000-0001-7798-3138 ; 0000-0001-9912-0325 ; 0000-0001-8250-754X ; 0000-0002-3059-5338 ; 0000-0002-1368-3475 ; 0000-0001-6223-8821 ; 0000-0001-9667-6096 ; 0000-0002-7700-0952 ; 0000-0003-4735-2356</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095493/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095493/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,886,27928,27929,53795,53797</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37048821$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ratajczak, Jakub</creatorcontrib><creatorcontrib>Kubica, Aldona</creatorcontrib><creatorcontrib>Michalski, Piotr</creatorcontrib><creatorcontrib>Pietrzykowski, Łukasz</creatorcontrib><creatorcontrib>Białczyk, Aleksandra</creatorcontrib><creatorcontrib>Kosobucka-Ozdoba, Agata</creatorcontrib><creatorcontrib>Bergmann, Katarzyna</creatorcontrib><creatorcontrib>Buczkowski, Krzysztof</creatorcontrib><creatorcontrib>Krintus, Magdalena</creatorcontrib><creatorcontrib>Jankowski, Piotr</creatorcontrib><creatorcontrib>Kubica, Jacek</creatorcontrib><title>Determinants of Lipid Parameters in Patients without Diagnosed Cardiovascular Disease-Results of the Polish Arm of the EUROASPIRE V Survey</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>To assess the determinants of lipid parameters in primary care patients without diagnosed cardiovascular disease (CVD), a cross-sectional study was conducted during 2018-2019 with a total of 200 patients. The following lipid parameters were measured: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), small, dense LDL (sdLDL-C), and lipoprotein (a) (Lp(a)). Predictors of elevated and adequately controlled lipid parameters were assessed with logistic regression analysis. Older age was related to higher risk of TC ≥ 6.2 mmol/L [OR 1.03 (95% CI 1.0-1.05)], sdLDL-C ≥ 1.0 mmol/L [OR 1.05 (95% CI 1.0-1.1)], and decreased risk of Lp(a) ≥ 50 mg/dL [OR 0.97 (95% CI 0.94-0.99)]. Patients with diabetes mellitus (DM) had increased probability of TG ≥ 2.25 mmol/L [OR 3.77 (95% CI 1.34-10.6)] and Lp(a) ≥ 50 mg/dL [OR 2.97 (1.34-6.10)] as well as adequate control of TG and Lp(a). Higher material status was related to lower risk of TC ≥ 6.2 mmol/L [OR 0.19 (95% CI 0.04-0.82)] and LDL-C ≥ 3.6 mmol/L [OR 0.33 (95% CI 0.12-0.92)]. High BMI was related to increased [OR 1.14 (95% CI 1.02-1.29)], and female gender [OR 0.33 (95% CI 0.12-0.96)] and hypertension [OR 0.29 (95% CI 0.1-0.87)] to decreased risk of TG ≥ 2.25 mmol/L [OR 1.14 (95% CI 1.02-1.29)]. Taking lipid-lowering drugs (LLD) was associated with LDL-C < 2.6 mmol/L [OR 2.1 (95% CI 1.05-4.19)] and Lp(a) < 30 mg/dL [OR 0.48 (95% CI 0.25-0.93)]. Physical activity was related to LDL-C < 2.6 mmol/L [OR 2.02 (95% CI 1.02-3.98)]. Higher abdominal circumference was associated with decreased risk of TG < 1.7 mmol/L [OR 0.96 (95% CI 0.93-0.99)]. Elevated lipid parameters were related to age, gender, material status, BMI, history of DM, and hypertension. Adequate control was associated with age, education, physical activity, LLD, history of DM, and abdominal circumference.</description><subject>Abdomen</subject><subject>Blood lipids</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>Cholesterol</subject><subject>Clinical medicine</subject><subject>Control</subject><subject>Creatinine</subject><subject>Demographic aspects</subject><subject>Glucose</subject><subject>High density lipoprotein</subject><subject>Hyperlipidemia</subject><subject>Laboratories</subject><subject>Lipids</subject><subject>Lipoproteins</subject><subject>Metabolic disorders</subject><subject>Obesity</subject><subject>Primary care</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Statins</subject><subject>Triglycerides</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptUk1rGzEQXUpLE9Kcei-CXgplU32tJZ2Kcdw0YIhxml6Fdndky-yuXGnXJX-hvzpanKRO6eig0bw3b3hisuw9wReMKfxlW7WEYkEFk6-y05SJHDPJXh_lJ9l5jFucQkpOiXibnTCBuZSUnGZ_LqGH0LrOdH1E3qKF27kaLU0w7YhE5Lr06h2M-G_Xb_zQo0tn1p2PUKOZCbXzexOroTEhARFMhHwFcWgOgv0G0NI3Lm7QNLRPlfnd6mZ6u7xezdFPdDuEPdy_y95Y00Q4f7zPsrtv8x-z7_ni5up6Nl3kFReiz0lJlSoKXlLAhZTWUiInFJfcWGYLqUwt2EQqWUAKS5ixvCSqpqYgUNaGs7Ps60F3N5Qt1FVyFkyjd8G1Jtxrb5x-iXRuo9d-rwnGquCKJYVPjwrB_xog9rp1sYKmMR34IWoqMZ5QVhCRqB__oW79ELrkT1Oh1ISzZOYva20a0K6zPg2uRlE9FQVmmFI-si7-w0qnhtZVvgPrUv1Fw-dDQxV8jAHss0mC9bg--mh9EvvD8b88c5-WhT0ALC-_mg</recordid><startdate>20230406</startdate><enddate>20230406</enddate><creator>Ratajczak, Jakub</creator><creator>Kubica, Aldona</creator><creator>Michalski, Piotr</creator><creator>Pietrzykowski, Łukasz</creator><creator>Białczyk, Aleksandra</creator><creator>Kosobucka-Ozdoba, Agata</creator><creator>Bergmann, Katarzyna</creator><creator>Buczkowski, Krzysztof</creator><creator>Krintus, Magdalena</creator><creator>Jankowski, Piotr</creator><creator>Kubica, Jacek</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</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>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7798-3138</orcidid><orcidid>https://orcid.org/0000-0001-9912-0325</orcidid><orcidid>https://orcid.org/0000-0001-8250-754X</orcidid><orcidid>https://orcid.org/0000-0002-3059-5338</orcidid><orcidid>https://orcid.org/0000-0002-1368-3475</orcidid><orcidid>https://orcid.org/0000-0001-6223-8821</orcidid><orcidid>https://orcid.org/0000-0001-9667-6096</orcidid><orcidid>https://orcid.org/0000-0002-7700-0952</orcidid><orcidid>https://orcid.org/0000-0003-4735-2356</orcidid></search><sort><creationdate>20230406</creationdate><title>Determinants of Lipid Parameters in Patients without Diagnosed Cardiovascular Disease-Results of the Polish Arm of the EUROASPIRE V Survey</title><author>Ratajczak, Jakub ; Kubica, Aldona ; Michalski, Piotr ; Pietrzykowski, Łukasz ; Białczyk, Aleksandra ; Kosobucka-Ozdoba, Agata ; Bergmann, Katarzyna ; Buczkowski, Krzysztof ; Krintus, Magdalena ; Jankowski, Piotr ; Kubica, Jacek</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-1b299554b2e0588ff218620b4af3f589ad7368985eeeef13af4b19d2a51ebda43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Abdomen</topic><topic>Blood lipids</topic><topic>Blood pressure</topic><topic>Body mass index</topic><topic>Cholesterol</topic><topic>Clinical medicine</topic><topic>Control</topic><topic>Creatinine</topic><topic>Demographic aspects</topic><topic>Glucose</topic><topic>High density lipoprotein</topic><topic>Hyperlipidemia</topic><topic>Laboratories</topic><topic>Lipids</topic><topic>Lipoproteins</topic><topic>Metabolic disorders</topic><topic>Obesity</topic><topic>Primary care</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Statins</topic><topic>Triglycerides</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ratajczak, Jakub</creatorcontrib><creatorcontrib>Kubica, Aldona</creatorcontrib><creatorcontrib>Michalski, Piotr</creatorcontrib><creatorcontrib>Pietrzykowski, Łukasz</creatorcontrib><creatorcontrib>Białczyk, Aleksandra</creatorcontrib><creatorcontrib>Kosobucka-Ozdoba, Agata</creatorcontrib><creatorcontrib>Bergmann, Katarzyna</creatorcontrib><creatorcontrib>Buczkowski, Krzysztof</creatorcontrib><creatorcontrib>Krintus, Magdalena</creatorcontrib><creatorcontrib>Jankowski, Piotr</creatorcontrib><creatorcontrib>Kubica, Jacek</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ratajczak, Jakub</au><au>Kubica, Aldona</au><au>Michalski, Piotr</au><au>Pietrzykowski, Łukasz</au><au>Białczyk, Aleksandra</au><au>Kosobucka-Ozdoba, Agata</au><au>Bergmann, Katarzyna</au><au>Buczkowski, Krzysztof</au><au>Krintus, Magdalena</au><au>Jankowski, Piotr</au><au>Kubica, Jacek</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of Lipid Parameters in Patients without Diagnosed Cardiovascular Disease-Results of the Polish Arm of the EUROASPIRE V Survey</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2023-04-06</date><risdate>2023</risdate><volume>12</volume><issue>7</issue><spage>2738</spage><pages>2738-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>To assess the determinants of lipid parameters in primary care patients without diagnosed cardiovascular disease (CVD), a cross-sectional study was conducted during 2018-2019 with a total of 200 patients. The following lipid parameters were measured: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), small, dense LDL (sdLDL-C), and lipoprotein (a) (Lp(a)). Predictors of elevated and adequately controlled lipid parameters were assessed with logistic regression analysis. Older age was related to higher risk of TC ≥ 6.2 mmol/L [OR 1.03 (95% CI 1.0-1.05)], sdLDL-C ≥ 1.0 mmol/L [OR 1.05 (95% CI 1.0-1.1)], and decreased risk of Lp(a) ≥ 50 mg/dL [OR 0.97 (95% CI 0.94-0.99)]. Patients with diabetes mellitus (DM) had increased probability of TG ≥ 2.25 mmol/L [OR 3.77 (95% CI 1.34-10.6)] and Lp(a) ≥ 50 mg/dL [OR 2.97 (1.34-6.10)] as well as adequate control of TG and Lp(a). Higher material status was related to lower risk of TC ≥ 6.2 mmol/L [OR 0.19 (95% CI 0.04-0.82)] and LDL-C ≥ 3.6 mmol/L [OR 0.33 (95% CI 0.12-0.92)]. High BMI was related to increased [OR 1.14 (95% CI 1.02-1.29)], and female gender [OR 0.33 (95% CI 0.12-0.96)] and hypertension [OR 0.29 (95% CI 0.1-0.87)] to decreased risk of TG ≥ 2.25 mmol/L [OR 1.14 (95% CI 1.02-1.29)]. Taking lipid-lowering drugs (LLD) was associated with LDL-C < 2.6 mmol/L [OR 2.1 (95% CI 1.05-4.19)] and Lp(a) < 30 mg/dL [OR 0.48 (95% CI 0.25-0.93)]. Physical activity was related to LDL-C < 2.6 mmol/L [OR 2.02 (95% CI 1.02-3.98)]. Higher abdominal circumference was associated with decreased risk of TG < 1.7 mmol/L [OR 0.96 (95% CI 0.93-0.99)]. Elevated lipid parameters were related to age, gender, material status, BMI, history of DM, and hypertension. Adequate control was associated with age, education, physical activity, LLD, history of DM, and abdominal circumference.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37048821</pmid><doi>10.3390/jcm12072738</doi><orcidid>https://orcid.org/0000-0001-7798-3138</orcidid><orcidid>https://orcid.org/0000-0001-9912-0325</orcidid><orcidid>https://orcid.org/0000-0001-8250-754X</orcidid><orcidid>https://orcid.org/0000-0002-3059-5338</orcidid><orcidid>https://orcid.org/0000-0002-1368-3475</orcidid><orcidid>https://orcid.org/0000-0001-6223-8821</orcidid><orcidid>https://orcid.org/0000-0001-9667-6096</orcidid><orcidid>https://orcid.org/0000-0002-7700-0952</orcidid><orcidid>https://orcid.org/0000-0003-4735-2356</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of clinical medicine, 2023-04, Vol.12 (7), p.2738 |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central |
| subjects | Abdomen Blood lipids Blood pressure Body mass index Cholesterol Clinical medicine Control Creatinine Demographic aspects Glucose High density lipoprotein Hyperlipidemia Laboratories Lipids Lipoproteins Metabolic disorders Obesity Primary care Regression analysis Risk factors Statins Triglycerides |
| title | Determinants of Lipid Parameters in Patients without Diagnosed Cardiovascular Disease-Results of the Polish Arm of the EUROASPIRE V Survey |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T12%3A41%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determinants%20of%20Lipid%20Parameters%20in%20Patients%20without%20Diagnosed%20Cardiovascular%20Disease-Results%20of%20the%20Polish%20Arm%20of%20the%20EUROASPIRE%20V%20Survey&rft.jtitle=Journal%20of%20clinical%20medicine&rft.au=Ratajczak,%20Jakub&rft.date=2023-04-06&rft.volume=12&rft.issue=7&rft.spage=2738&rft.pages=2738-&rft.issn=2077-0383&rft.eissn=2077-0383&rft_id=info:doi/10.3390/jcm12072738&rft_dat=%3Cgale_pubme%3EA750302245%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2799643995&rft_id=info:pmid/37048821&rft_galeid=A750302245&rfr_iscdi=true |