Literature DB >> 30885952

Biochemical Urine Testing of Adherence to Cardiovascular Medications Reveals High Rates of Nonadherence in People Attending Their Annual Review for Type 2 Diabetes.

Prashanth Patel1,2, Pankaj Gupta3,2, Angela Burns1, Ali A Mohamed1, Richard Cole1, Dan Lane1, Samuel Seidu4,5, Kamlesh Khunti4,5.   

Abstract

OBJECTIVE: Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a new method to objectively and robustly detect nonadherence. We applied this technique to study nonadherence to cardiovascular medications in people with type 2 diabetes (T2DM). RESEARCH DESIGN AND METHODS: Routine urine samples, received at the time of the annual diabetes review from 228 people with T2DM in primary care, were assessed for adherence by LC-MS/MS.
RESULTS: A total of 28.1% patients (N = 64) were nonadherent to antidiabetic, antihypertensive, and/or lipid-lowering medications. Nonadherence to statins was the highest at 23.7%, and nonadherence to oral hypoglycemic agents was 9.3%. HbA1c, albumin-to-creatinine ratio, and lipid profiles were significantly higher in the patients who were nonadherent compared with those who were adherent to treatment.
CONCLUSIONS: This unique study shows that routine urine samples can be used for adherence testing screening by LC-MS/MS and has demonstrated high nonadherence rates especially to statins in people with T2DM. Future intervention studies using LC-MS/MS as a diagnostic/therapeutic tool may help to improve clinical outcomes.
© 2019 by the American Diabetes Association.

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Year:  2019        PMID: 30885952     DOI: 10.2337/dc18-1453

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  3 in total

1.  Biochemical Urine Testing of Medication Adherence and Its Association With Clinical Markers in an Outpatient Population of Type 2 Diabetes Patients: Analysis in the DIAbetes and LifEstyle Cohort Twente (DIALECT).

Authors:  Jelle M Beernink; Milou M Oosterwijk; Kamlesh Khunti; Pankaj Gupta; Prashanth Patel; Job F M van Boven; Hiddo J Lambers Heerspink; Stephan J L Bakker; Gerjan Navis; Roos M Nijboer; Gozewijn D Laverman
Journal:  Diabetes Care       Date:  2021-04-23       Impact factor: 17.152

2.  Effectiveness of the Ready to Reduce Risk (3R) complex intervention for the primary prevention of cardiovascular disease: a pragmatic randomised controlled trial.

Authors:  Jo L Byrne; Helen M Dallosso; Stephen Rogers; Laura J Gray; Ghazala Waheed; Prashanth Patel; Pankaj Gupta; Yvonne Doherty; Melanie J Davies; Kamlesh Khunti
Journal:  BMC Med       Date:  2020-07-27       Impact factor: 8.775

3.  Predicting medication nonadherence risk in the Chinese type 2 diabetes mellitus population - establishment of a new risk nomogram model: a retrospective study.

Authors:  Fa-Cai Wang; Wei Chang; Song-Liu Nie; Bing-Xiang Shen; Chun-Yuan He; Wei-Chen Zhao; Xiao-Yan Liu; Jing-Tao Lu
Journal:  J Int Med Res       Date:  2021-09       Impact factor: 1.671

  3 in total

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