{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T06:53:16Z","timestamp":1784098396975,"version":"3.55.0"},"reference-count":51,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:00:00Z","timestamp":1760054400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:00:00Z","timestamp":1760054400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003243","name":"Ministerstvo Zdravotnictv\u00ed Cesk\u00e9 Republiky","doi-asserted-by":"publisher","award":["NU20\u201001\u201000186"],"award-info":[{"award-number":["NU20\u201001\u201000186"]}],"id":[{"id":"10.13039\/501100003243","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100031478","name":"NextGenerationEU","doi-asserted-by":"publisher","award":["LX22NPO5104"],"award-info":[{"award-number":["LX22NPO5104"]}],"id":[{"id":"10.13039\/100031478","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007397","name":"Univerzita Karlova v Praze","doi-asserted-by":"publisher","award":["SVV 260 785"],"award-info":[{"award-number":["SVV 260 785"]}],"id":[{"id":"10.13039\/100007397","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007397","name":"Univerzita Karlova v Praze","doi-asserted-by":"publisher","award":["SVV 260 785"],"award-info":[{"award-number":["SVV 260 785"]}],"id":[{"id":"10.13039\/100007397","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To evaluate medication adherence in patients with type 2 diabetes (T2D) using plasma drug measurements and assess the clinical impact of partial non\u2010adherence on glycemic control and complications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>This cross\u2010sectional study included 641 T2D outpatients attending routine follow\u2010up visits. After overnight fasting, blood samples were collected and analysed by LC\u2013MS to quantify plasma concentrations of 13 oral antidiabetic drugs. Adherence was defined as the detection of a prescribed drug above the limit of quantification. Self\u2010reported lifestyle factors, dosing regimens, and clinical outcomes were assessed in relation to drug presence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Metformin adherence was very high, with the drug undetected in only 1.9% of patients. In contrast, adherence rates were lower for sulfonylureas (94%), DPP\u20104 inhibitors (90%), pioglitazone (82%), and SGLT2 inhibitors (73%). Non\u2010adherence was predominantly partial: only one of the analysed antidiabetics taken by patients was not detected in 93% of non\u2010adherent patients. Adherence declined with increasing numbers of prescribed agents and daily doses, suggesting treatment complexity as a key factor. No other tested lifestyle or drug management parameters were significantly associated with adherence. Glycemic control was worse in non\u2010adherent patients: 63% did not reach target glucose and HbA1\n                      <jats:sub>c<\/jats:sub>\n                      levels, compared to 37% of fully adherent patients. Non\u2010adherence was also associated with a higher prevalence of diabetic kidney disease.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Partial non\u2010adherence is common in T2D and strongly associated with treatment complexity and poor glycemic outcomes. These findings emphasize the need for individualized strategies to support adherence and improve long\u2010term diabetes care. Our study further indicates that plasma analysis using LC\u2013MS methods may serve as a robust tool for adherence assessment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.70174","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T08:23:13Z","timestamp":1760084593000},"page":"186-196","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Partial non\u2010adherence to antidiabetic therapy undermines diabetes management and correlates with treatment complexity: A cross\u2010sectional study using blood plasma analysis"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4685-4429","authenticated-orcid":false,"given":"Vojt\u011bch","family":"\u0160kop","sequence":"first","affiliation":[{"name":"Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine  Prague Czech Republic"},{"name":"Department of Biochemistry and 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