Journal of Diabetes Investigation (Sep 2019)

Preferential prescribing of linagliptin in type 2 diabetes patients in an expanded post‐marketing surveillance study in Japan

  • Soulmaz Fazeli Farsani,
  • Atsushi Taniguchi,
  • Rie Ikeda,
  • Kimberly G Brodovicz,
  • Dorothee B Bartels

DOI
https://doi.org/10.1111/jdi.13012
Journal volume & issue
Vol. 10, no. 5
pp. 1246 – 1253

Abstract

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Abstract Aims/Introduction To evaluate linagliptin prescribing in type 2 diabetes mellitus patients with different comorbidities, an expanded Japanese post‐marketing surveillance also collected baseline data for patients initiating other glucose‐lowering drugs. Materials and Methods Patients initiating linagliptin monotherapy were enrolled, then the next patient starting monotherapy with another glucose‐lowering drug was enrolled (2012–2014). Baseline data were collected and analyzed by the Medical Dictionary for Regulatory Activities system organ class. Analyses were descriptive, and meaningful differences defined as absolute standardized difference >10%. Results Over 4,200 type 2 diabetes mellitus patients were enrolled. Most system‐organ class comorbidities were more common in patients initiating linagliptin versus other glucose‐lowering drugs, with meaningful differences observed for metabolism/nutritional (50.5 vs 45.5%, respectively), cardiac (12.2 vs 8.6%, respectively), vascular (56.4 vs 51.3%, respectively) and renal/urinary disorders (9.9 vs 5.7%, respectively). Conclusions Expanding the linagliptin Japanese post‐marketing surveillance revealed linagliptin prescribing to a type 2 diabetes mellitus population with more comorbidities versus other glucose‐lowering drugs. Although such preferential prescribing might be expected, as linagliptin requires no dose adjustment or monitoring in renally or hepatically impaired patients, this innovative post‐marketing surveillance approach generated important evidence that could only be shown in such a non‐randomized comparative study. These data generated insights important for the design and interpretation of observational studies and spontaneous reports, which are key for public health.

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