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Direct oral anticoagulant (DOAC) use for stroke prevention in atrial fibrillation (AF) has dose reduction criteria including age, weight, serum creatinine, and creatinine clearance. There is a paucity of data for rates of inappropriate inpatient DOAC dosing in Australia. The objective was to determine the rates of inappropriate inpatient DOAC dosing in AF and identifying its associated underlying factors. We conducted a retrospective cross-sectional study from December 2013 to November 2019 across six South Australian public hospitals utilising a centralised electronic health record. Multivariate analysis was used to identify factors associated with underdosing of patients prescribed apixaban. Of 1882 inpatients, 544 (28.9 %) were inappropriately dosed. Underdosing was the most common form of inappropriate dosing with rates of 22.9 % (n = 295), 7.1 % (n = 7), and 25.1 % (n = 124) for apixaban, dabigatran, and rivaroxaban, respectively. Independent factors predictive of apixaban underdosing included higher age (adjusted odds ratio (aOR) 1.63 [95 % Confidence Interval (CI): 1.47–1.81]), higher serum creatinine (aOR 1.13 [95 % CI: 1.08–1.19]), higher total number of drugs on discharge (aOR 1.08 [95 % CI: 1.04–1.11]), and being already prescribed a DOAC on admission (aOR 1.63 [95 % CI: 1.12–2.38]). Nearly one quarter of all apixaban prescribing was inappropriately underdosed. Older patients with multimorbidity, frailty and polypharmacy present a challenge for clinicians in balancing risks of thromboembolism and bleeding. It is likely prescribers are more conservative in their apixaban dosing in this population. Clinicians should consider alternative drug regimens to avoid DOAC use at inappropriate doses at unknown safety and efficacy. Refereed/Peer-reviewed

Co-prescribing of opioids and sedatives is a known risk factor for opioid-induced ventilatory impairment (OIVI). Prevalence data for sedative and opioid co-prescription in inpatients in Australia are unknown. Our objective was to determine the prevalence of inpatient sedative and opioid co-prescribing and to identify factors associated with co-prescription. We conducted a retrospective cross-sectional study from July 2017 to October 2017 across four South Australian hospitals utilizing a centralized electronic health record. Multivariate analysis was used to identify characteristics predictive of co-prescribing of a strong opioid (fentanyl, hydromorphone, morphine, and oxycodone) and sedative medications (benzodiazepines, antiepileptics, antipsychotics, and tricyclic antidepressants). Of the 6170 inpatients, 2795 (45.3%) were prescribed a strong opioid and of those, 1889 (30.6% of all inpatients) were co-prescribed a sedative. Of those prescribed a strong opioid, five (0.18%) developed OIVI. Patients prescribed a strong opioid had a 27–77% increased likelihood of being prescribed a sedative. Factors predictive of sedative co-prescribing included the presence of disease of the central nervous system adjusted OR (aOR) 8.66 [95% CI 5.83–12.9] and respiratory disease aOR 1.42 [95% CI 1.17–1.72]. Nearly, one third of all hospital inpatients were co-prescribed a strong opioid and a sedative medication. Patients with comorbidities resulting in increased risk of respiratory depression/OIVI were more likely to have sedative co-prescription. Clinicians should be aware of the effects of high-risk medications and ensure that systems and monitoring are in place that help mitigate adverse outcomes Refereed/Peer-reviewed