Risk variables with frequencies >5 in subgroups and demonstrating p ≤ 0.1 in univariate analysis for either outcome were selected for multivariate logistic regression analysis. We tested for differences in risk variables between massive PE and non-massive PE patients and PEACE using a Chi-squared test (for categorical variables) and Wilcoxon Rank-Sum Test (for continuous variables). We analyzed baseline characteristics with simple means and proportions. We used SAS version 9.4 (SAS Institute, Cary, NC) and R version 3.5.2 for analysis. We utilized STROBE (Strengthening the reporting of observational studies in epidemiology) guidelines to report our study. Data were recorded using a HIPAA compliant web-based application ( Case reports were reviewed for consistency and integrity after initial data abstraction, and discrepancies in measurements were reconciled through consensus of the data abstractors and study PI. Study staff obtained all information from electronic medical records or interviewed medical providers at the time of the PERT consult and during the following follow up periods: < 24 h, 2–3 days, 4–7 days, 8–30 days, 31–90 days, 91–180 days and 181–365 days. We included information about the date, activation site of PERT, demographics, comorbidities, VTE risk factors, and outcomes. Tumor embolus, PE diagnosed with Ventilation-Perfusion (V/Q) scan, and PE diagnosed 72 h before or after PERT consult were excluded. We limited our analysis to patients with radiographically proven PE on computed tomography pulmonary angiogram (CTPA) ( Fig.

Massive pulmonary embolism