2.4 Outcome measures
The primary outcome was the proportion of patients with one or more interventions suggested by the ASP. An intervention was defined as an advice from a member of the ASP which was given to the treating physician to optimize the antithrombotic therapy. Secondarily, reasons for intervention were explored and detailed information of the intervention were also collected (
For the safety outcome, we described the proportion of bleeding events, thromboembolic complications and death. Bleeding and thromboembolic complications were defined as an event that occurred at admission, a new event during hospitalization or within 30 days after discharge. Moreover, mortality was defined if it occurred during hospitalization or within 30 days after discharge.

2.5 Analysis

All data were analyzed using IBM SPSS Statistics 22 (IBM, New York, USA). Descriptive statistics were used to describe patient characteristics and outcomes. All normally distributed continuous variables were expressed as mean ± standard deviation (SD). Non-normal variables were expressed as medians and interquartile ranges (IQR) and tested for statistical significance between groups using the Mann-Whitney U test. Categorical variables were displayed as frequencies and percentages per category and were tested for differences between groups with the Chi-square test. A p-value of <0.05 was considered to be statistically significant.
In total three subgroup analyses were performed. The first subgroup analysis compared the type of antithrombotic therapy (DAT versusTAT). Also, results are separately assessed for the subgroup of patients based on the initiation of antithrombotic therapy (initiation during current hospitalization versus initiation before current hospitalization). Lastly, a subgroup analysis was performed by using a combination of type of antithrombotic therapy and initiation of antithrombotic therapy. The last subgroup analysis was used to identify the group of patients who had the most complications.