BackgroundThe extent of medication adherence in patients with type 2 diabetes mellitus (T2DM) several years after starting treatment with hypoglycemic agents remains unknown. Most previous work on medication adherence targeting this group of patients has been undertaken across a single year or is questionnaire based. This study aimed to determine medication adherence status and factors affecting adherence 3 years after initiation of hypoglycemic agents, using a nationwide medical claim-based database in Japan.MethodsThis retrospective study was conducted on data from 884 subjects with T2DM to better understand medication adherence, the effects of polypharmacy, and other factors. We also investigated the effects of medication nonadherence on hemoglobin A1c levels. Proportion of days covered was defined as the number of days for which a hypoglycemic agent was prescribed and in the patient’s possession to the number of days in the observation period. A proportion of days covered ≥0.8 were considered adherent, and those with a value <0.8 as nonadherence. Polypharmacy was defined as taking ≥5 medications.ResultsOf the 884 patients investigated, 440 were considered adherent during the study period. Significant factors related to adherence included number of medications (3 or 4, or ≥5), male sex, age 50–<60 years, and total number of visits ≥17. Medication adherence was also a factor related to patients with hemoglobin A1c values < 7.0% at the end of the observation period.ConclusionsWe surveyed medication adherence for 3 years with post medication initiation, and found that subjects aged 50–<60 years, those with ≥3 concomitant medications, and those with a total number of visits ≥17 were more likely to be adherent and persistent, and more likely to continue their hypoglycemic agents. A high degree of medication adherence was found to have a positive influence on hemoglobin A1c levels.

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After coronary stent implantation, dual-antiplatelet therapy (DAT), such as aspirin and clopidogrel, is essential to prevent stent thrombosis. Proton-pump inhibitors (PPIs) may be used to prevent gastrointestinal (GI) bleeding during DAT, but there is no evidence for the e‹cacy of PPIs in this setting. Because both clopidogrel and PPIs are metabolized by cytochrome P450 (CYP) 2C19, there is a possibility that, through drug interaction, PPIs diminish the antiplatelet eŠect of clopidogrel. In this retrospective cohort study, we evaluated the e‹cacy and safety of rabeprazole in patients receiving DAT of clopidogrel and aspirin after drug-eluting stent implantation. In 199 patients treated with DAT alone (control group) and 103 patients treated with rabeprazole plus DAT (rabeprazole group), we examined the incidences of GI bleeding and major adverse cardiac events (MACE) including stent thrombosis. The incidence of GI bleeding was not signiˆcantly diŠerent between the groups (hazard ratio 0.47 [95％ conˆdence interval 0.15 1.42], P＝0.18; P＝0.17 in log-rank test), although no patient with severe bleeding was observed in the rabeprazole group. The use of rabeprazole did not increase the incidence of MACE (hazard ratio 1.28 [95％ conˆdence interval 0.54 3.00], P＝0.56; P＝0.56 in log-rank test). One patient who developed subacute stent thrombosis under DAT was genetically proven to be a CYP2C19 poor metabolizer. The eŠect of rabeprazole to prevent GI bleeding is limited in patients receiving DAT. It remains to be conˆrmed whether these results may depend on CYP2C19 polymorphisms or a class of PPIs.

Ponatinib, a novel tyrosine kinase inhibitor marketed in 2016, is a key drug used for treating chronic myeloid leukemia and Philadelphia chromosome-positive acute lymphoblastic leukemia. This study aimed to develop a simple method for determining plasma ponatinib concentration. The analysis required extraction of a 400-µL sample of plasma and precipitation of proteins using an Oasis HLB cartridge. Ponatinib and bosutinib, which is used as an internal standard, were separated by HPLC using a mobile phase of acetonitrile : 0.037 mol/L KH 2 PO 4 (pH 4.5) (39 : 61, v/v) on a Capcell Pack C18 MG II (25 4.6 mm) monitored at 250 nm, with a flow rate of 1.0 mL/min. This assay method was then used for determining plasma ponatinib concentration in a 42-year-old man treated with ponatinib at 15 mg/d. The calibration curve was found to be linear for the plasma concentration range of 5-250 ng/mL with a regression coefficient (r 2 ) of 0.9999. The coefficients of intra-day and inter-day validation under these concentrations were 2.1-6.0 and 4.5-8.0%, respectively. The assay accuracy was 1.5-9.0%, and the recovery was greater than 86%. The plasma concentration of the patient at 2.5 and 3 h after 15 mg ponatinib administration was 43.6 and 49.3 ng/mL, respectively. This method of HPLC equipped with UV detection for determining plasma ponatinib concentration has several advantages, such as simplicity and applicability to routine therapeutic drug monitoring at hospital laboratories.

Vincristine (VCR) is an important drug used in the treatment of acute lymphoblastic leukemia (ALL). VCR-induced neurotoxicity can manifest as peripheral neuropathy, constipation, or paralytic ileus. While there are some case reports describing VCR-induced paralytic ileus (VIPI) in pediatric ALL, there are fewer publication on adult ALL patients. Therefore, we retrospectively investigated VIPI during induction therapy of treatment protocols for ALL in 19 adult patients. The incidence of VIPI was 32%. VIPI was significantly increased in patients receiving concomitant itraconazole (ITCZ) (p = 0.04). We recommend avoidance of the combination of VCR and ITCZ.

Ibrutinib is an oral inhibitor of Bruton tyrosine kinase, which is one of the key drugs used for the treatment of chronic lymphocytic leukemia and mantle cell lymphoma.In this study, we aimed to develop a simple method for determining plasma ibrutinib concentration. The analysis required extraction of a 200 μL plasma sample and precipitation of proteins using solid-phase extraction. Ibrutinib and nilotinib, which was used as an internal standard, were separated using high-performance liquid chromatography (HPLC) using a mobile phase of acetonitrile-0.5% monopotassium phosphate (KH 2 PO 4 , pH 3.0; 52:48, v/v) on a Capcell Pack C 18 MG II (250 × 4.6 mm) monitored at 260 nm, at a flow rate of 1.0 mL/min. The calibration curve was linear at the plasma concentration range of 10-500 ng/mL with a coefficient of determination (r 2 ) of 0.9999. The coefficients of intra-day and inter-day validation were 4.0-6.6 and 2.6-7.7%, respectively. The assay accuracy was −4.4-8.6%, and the recovery was >84%. This HPLC method coupled with ultraviolet (UV) detection for determining ibrutinib plasma concentration has several advantages such as simplicity and applicability to routine therapeutic drug monitoring at hospital laboratories.

This study aimed to compare and determine the prevalence of drug–drug interaction (DDI) and bleeding rate in atrial fibrillation (AF) patients receiving anticoagulants in a clinical setting. We used large claims data of AF patients obtained from the Japan Medical Data Center. The prevalence of DDIs and cases leading to bleeding events were surveyed clinically relevant DDIs extracted from 1) reported from a spontaneous adverse event reporting system (Japanese Adverse Drug Events Report system; JADER) ≥4 patients; 2) DDIs cited in the package inserts of each anticoagulant (each combination assessed according to “Drug interaction 2015” list; 3) warfarin and quinolone antibiotics DDIs. DDIs were categorized the mechanisms for pharmacokinetic DDI (Cytochrome P450 (CYP) or transporter etc. that modulate blood concentration of anticoagulants)/pharmacodynamic DDI (combination with similar pharmacological actions) or both in the analysis for each patients’ prescriptions obtained from a claims data. AF patients were compared between cases with and without bleeding after administered of anticoagulants. Bleeding was observed in 220/3290 (6.7%) AF patients. The bleeding rate in patients with both pharmacokinetic and pharmacodynamic DDI mechanisms (26.3%) was higher than that in patients with either mechanism (8.6% and 9.2%, respectively) or without DDIs (4.9%). The odds ratio for bleeding in AF patients with both of pharmacokinetic and pharmacodynamic was (7.18 [4.69–11.00], p<0.001). Our study concluded multi mechanism based DDIs leads serious outcome as compared to that of single mechanism based DDIs in AF patients. We determined the prevalence and frequency of bleeding for anticoagulant-related DDIs. To manage DDIs, both pharmacokinetic and pharmacodynamic DDI mechanisms should be closely monitored for initial symptoms of bleeding within the first 3 months.

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