Background Drug prescription errors are made, worldwide, on a daily basis, resulting in a high burden of morbidity and mortality. Existing rule-based systems for prevention of such errors are unsuccessful and associated with substantial burden of false alerts. Objective In this prospective study, we evaluated the accuracy, validity, and clinical usefulness of medication error alerts generated by a novel system using outlier detection screening algorithms, used on top of a legacy standard system, in a real-life inpatient setting. Materials and Methods We integrated a novel outlier system into an existing electronic medical record system, in a single medical ward in a tertiary medical center. The system monitored all drug prescriptions written during 16 months. The department’s staff assessed all alerts for accuracy, clinical validity, and usefulness. We recorded all physician’s real-time responses to alerts generated. Results The alert burden generated by the system was low, with alerts generated for 0.4% of all medication orders. Sixty percent of the alerts were flagged after the medication was already dispensed following changes in patients’ status which necessitated medication changes (eg, changes in vital signs). Eighty-five percent of the alerts were confirmed clinically valid, and 80% were considered clinically useful. Forty-three percent of the alerts caused changes in subsequent medical orders. Conclusion A clinical decision support system that used a probabilistic, machine-learning approach based on statistically derived outliers to detect medication errors generated clinically useful alerts. The system had high accuracy, low alert burden and low false-positive rate, and led to changes in subsequent orders.

Tyrosine kinase inhibitors (TKIs) have revolutionized the management and outcomes of chronic myeloid leukemia (CML) patients. Improved disease control and prolonged life expectancy now mandate focus on improving TKIs' safety profile. Recently, vascular adverse events (VAEs) have emerged as a serious consequence of some of the newer TKIs. In this review, we describe the clinical spectrum of TKI-associated VAE, and examine the unique vascular safety profile of the main TKIs currently used in the treatment of CML: imatinib, nilotinib, dasatinib, bosutinib and ponatinib. The issue of TKI-related platelet dysfunction is discussed as well. We describe the contemporary research findings regarding the possible pathogenesis of the VAE. Finally, the different aspects of TKI-associated VAE management are addressed, including prevention methods, monitoring strategies and treatment options.

Aims Diabetes mellitus (DM) aggravates the clinical features of ischaemic and hypertensive heart diseases and worsens the prognosis of heart failure patients. Hypertrophic cardiomyopathy (HCM) and diabetes coexist fairly frequently in elderly patients but the impact of DM on the clinical phenotype of HCM is yet unknown. We sought to describe if predominant features of heart failure in DM patients exist independently in HCM. Methods and results We reviewed clinical characteristics of 937 patients, age ≥40, diagnosed with HCM, from two tertiary medical centres in Spain and Israel. A propensity score matched cohort of 294 patients was also analysed. Our cohort comprised 102 HCM patients with diabetes (8.7%). Patients with DM were older at diagnosis {median 56 [interquartile range (IQR) 47–67] vs. 53 (IQR 43–63), P = 0.02} and had a higher prevalence of comorbidities. Hypertrophic cardiomyopathy patients with DM had a higher prevalence of diastolic dysfunction, pulmonary hypertension, significant mitral regurgitation, and pacemaker implantation. Hypertrophic cardiomyopathy patients with DM had a higher New York Heart Association (NYHA) class (P < 0.001) and lower exercise capacity [7.0 METS (IQR 5.0–10.0) vs. 9.0 METS (IQR 6.6–11.0), P = 0.002]. These findings were independent of age, gender, country of origin, hypertension, and coronary artery disease. Patients with diabetes had a significantly higher 15-year mortality (22% vs. 15%, P = 0.03), with no differences in sudden cardiac death, appropriate implanted cardioverter-defibrillator therapy, or heart transplantation. Conclusion Hypertrophic cardiomyopathy patients with diabetes are older and have a higher cardiovascular risk profile. They have a lower functional capacity and more heart failure symptoms due to diastolic dysfunction.