{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T23:14:17Z","timestamp":1789600457986,"version":"build-2803163510"},"update-to":[{"DOI":"10.12688\/f1000research.128627.1","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T00:00:00Z","timestamp":1685923200000}}],"reference-count":27,"publisher":"F1000 Research Ltd","license":[{"start":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T00:00:00Z","timestamp":1685923200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["f1000research.com"],"crossmark-restriction":false},"short-container-title":["F1000Res"],"abstract":"<ns4:p>\n                    <ns4:bold>Background:<\/ns4:bold>\n                    Early identification of arterial stiffness in Type 2 diabetes mellitus (T2DM) patients before the manifestation of atherosclerosis would be clinically beneficial. Our study aimed to explore the correlation of lipid profiles and ratios with arterial stiffness, and construct a predictive model for arterial stiffness in T2DM patients using those parameters.\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Methods:<\/ns4:bold>\n                    One hundred and eighty-four adult T2DM patients in the diabetes outpatient clinic at the Dr. Soetomo general academic hospital were enrolled in this cross-sectional study in 2015 and 2019. Sociodemographic, glycosylated hemoglobin (HbA1c), lipid profiles, and brachial-ankle pulse wave velocity (ba-PWV) data were collected from all subjects. The subjects were divided into a group with arterial stiffness (ba-PWV &gt; 18 m\/sec) and without arterial stiffness (ba-PWV \u2264 18 m\/sec). A correlation test was used to evaluate the association, and receiver operator characteristics (ROC) curves analysis were used to determine the cut-off value, sensitivity, and specificity. The risk analysis model was calculated using bivariate logistic regression analysis.\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Results:<\/ns4:bold>\n                    The group with arterial stiffness had higher lipid profiles: total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and lipid ratios. A significant positive correlation was found between TC, TG, LDL-C, and all lipid ratios with ba-PWV. A negative correlation was found between HDL-C and ba-PWV. All lipid ratio parameters can be used as predictors of arterial stiffness, especially non-HDL-C with cut-off value: 150 mg\/dL (sensitivity 96.8% and specificity 52.9%) and TG\/HDL-C ratio with cut-off value: 4.51 (sensitivity 81.0% and specificity 74.2%). Elevated TG\/HDL-C ratio and non-HDL-C displayed higher risk (OR: 12.293 and 16.312;\n                    <ns4:italic>p<\/ns4:italic>\n                    &lt; 0.05) of having arterial stiffness compared to other lipid ratios.\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Conclusions:<\/ns4:bold>\n                    Lipid profiles and lipid ratios, especially TG\/HDL-C ratio and non-HDL-C, are potential biochemical markers for arterial stiffness in T2DM patients.\n                  <\/ns4:p>","DOI":"10.12688\/f1000research.128627.2","type":"journal-article","created":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T08:45:06Z","timestamp":1685954706000},"page":"1582","update-policy":"https:\/\/doi.org\/10.12688\/f1000research.crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients"],"prefix":"10.12688","volume":"11","author":[{"given":"Soebagijo Adi","family":"Soelistijo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5480-6590","authenticated-orcid":false,"given":"Robert Dwitama","family":"Adiwinoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agung","family":"Pranoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deasy","family":"Ardiany","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2560","published-online":{"date-parts":[[2023,6,5]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"107-111","DOI":"10.2991\/jegh.k.191028.001","article-title":"Epidemiology of type 2 diabetes\u2013global burden of disease and forecasted trends.","volume":"10","author":"M Khan","year":"2020 cited 2022 Nov 8","journal-title":"J. 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Ctries."}],"container-title":["F1000Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/f1000research.com\/articles\/11-1582\/v2\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/f1000research.com\/articles\/11-1582\/v2\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/f1000research.com\/articles\/11-1582\/v2\/iparadigms","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T05:05:13Z","timestamp":1724994313000},"score":1,"resource":{"primary":{"URL":"https:\/\/f1000research.com\/articles\/11-1582\/v2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,5]]},"references-count":27,"URL":"https:\/\/doi.org\/10.12688\/f1000research.128627.2","relation":{"has-version":[{"id-type":"doi","id":"10.12688\/f1000research.128627.1","asserted-by":"subject"}],"has-review":[{"id-type":"doi","id":"10.5256\/f1000research.150109.r176778","asserted-by":"subject"},{"id-type":"doi","id":"10.5256\/f1000research.150109.r240672","asserted-by":"subject"},{"id-type":"doi","id":"10.5256\/f1000research.150109.r240672","asserted-by":"object"},{"id-type":"doi","id":"10.5256\/f1000research.150109.r176778","asserted-by":"object"}]},"ISSN":["2046-1402"],"issn-type":[{"value":"2046-1402","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,5]]},"assertion":[{"value":"Indexed","URL":"https:\/\/f1000research.com\/articles\/11-1582\/v2#article-reports","order":0,"name":"referee-status","label":"Referee status","group":{"name":"current-referee-status","label":"Current Referee Status"}},{"value":"10.5256\/f1000research.150109.r176778, Martin Haluz\u00edk, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, 25 Apr 2024, version 2, indexed","URL":"https:\/\/f1000research.com\/articles\/11-1582\/v2#referee-response-176778","order":0,"name":"referee-response-176778","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"10.5256\/f1000research.141237.r174157, Agata Stanek, Department and Clinic of Internal Medicine, Angiiology and Physical Medicine, Medical University of Silesia, Bytom, 30 May 2023, version 1, 1 approved, 1 approved with reservations","URL":"https:\/\/f1000research.com\/articles\/11-1582\/v1#referee-response-174157","order":1,"name":"referee-response-174157","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"<b>Robert Dwitama Adiwinoto<\/b>; \n<i>Posted: 31 May 2023<\/i>; 1. We appreciate the reviewer's feedback regarding the prevalence of metabolic syndrome in our research subjects. We aware that metabolic syndrome is a cluster of metabolic disorders independently associated with the development of diabetes-related complication. As a matter of fact, we have considered the components of metabolic syndrome (obesity, hypertension, and dyslipidemia) in our present study. However, we did not consider it as a condition \n<i>per se<\/i>; therefore, we described it in the table 1, using the latest criteria of metabolic syndrome as a reference in our revised paper. We also reevaluate how the presence of metabolic syndrome might affect the main findings of our study using multivariate analysis.  2. We appreciate the reviewer's feedback regarding the measurement of arterial stiffness using the ba-PWV method. As a matter of fact, we have the ba-PWV measured under appropriate conditions, as mentioned by the reviewer. However, we did not state those conditions in the methods section; therefore, we added the procedure of ba-PWV measurement accordingly in the revised paper.","URL":"https:\/\/f1000research.com\/articles\/11-1582\/v2#referee-comment-9728","order":2,"name":"referee-comment-9728","label":"Referee Comment","group":{"name":"article-reports","label":"Article Reports"}},{"value":"10.5256\/f1000research.150109.r240672, Alexandro J Martag\u00f3n, Instituto Nacional de Ciencias M\u00e9dicas y Nutrici\u00f3n Salvador Zubir\u00e1n ,The Institute for Obesity Research, Tecnologico de Monterrey, Mexico City, 30 Aug 2024, version 2, indexed","URL":"https:\/\/f1000research.com\/articles\/11-1582\/v2#referee-response-240672","order":3,"name":"referee-response-240672","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"The author(s) declared that no grants were involved in supporting this work","order":4,"name":"grant-information","label":"Grant Information"},{"value":"This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.","order":0,"name":"copyright-info","label":"Copyright"}]}}