Patient Preference and Adherence (Apr 2019)

Objective measures of non-adherence in cardiometabolic diseases: a review focused on urine biochemical screening

  • Lane D,
  • Patel P,
  • Khunti K,
  • Gupta P

Journal volume & issue
Vol. Volume 13
pp. 537 – 547

Abstract

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Dan Lane,1,2 Prashanth Patel,2,3 Kamlesh Khunti,1 Pankaj Gupta2,3 1Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, UK; 2Department of Chemical Pathology and Metabolic Diseases, Leicester Royal Infirmary, Leicester, UK; 3Department of Cardiovascular Sciences, University of Leicester, Leicester, UK Abstract: Cardiometabolic diseases are among the most prevalent and harmful conditions worldwide. They are complex, comorbid conditions that require polypharmacy – a known contributor to non-adherence in cardiovascular disease (CVD) and diabetes mellitus (DM). Suboptimal adherence is associated with poor disease control, which increases the risk of hospitalizations, mortality, and preventable financial implications. However, until recently, the lack of a gold standard for non-adherence testing in cardiometabolic diseases has been the major barrier for understanding true prevalence and mortality consequences. Recent European guidelines have endorsed biochemical testing as the preferred measure for non-adherence in CVD, with urinary screening methods being the most clinically widespread. The diagnostic and therapeutic benefits incurred to health service resources by use of biochemical non-adherence testing are vast, as hospitalizations and associated economic burdens are reduced, and tailored therapies are increased. However, biochemical testing can only signify a snap shot of adherence behavior, and true adherence may be skewed by pharmacokinetic factors. This review summarizes current literature regarding the prevalence, impact, and reasons of non-adherence in cardiometabolic disease. The benefits of current adherence diagnostic tools have been appraised, where urine in biochemical testing has been focused upon and evaluated against other matrices. Keywords: adherence, biochemical test, cardiovascular disease, diabetes mellitus, LC-MS/MS

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