Effect of Prognostic Guided Management of Patients With Acute Pulmonary Embolism According to the European Society of Cardiology Risk Stratification Model

David Jiménez, Carmen Rodríguez, Beatriz Pintado, Andrea Pérez, Luis Jara-Palomares, Raquel López-Reyes, Pedro Ruiz-Artacho, Alberto García-Ortega, Behnood Bikdeli, José Luis Lobo, IPEP investigators, David Jiménez, Carmen Rodríguez, Beatriz Pintado, Andrea Pérez, Luis Jara-Palomares, Raquel López-Reyes, Pedro Ruiz-Artacho, Alberto García-Ortega, Behnood Bikdeli, José Luis Lobo, IPEP investigators

Abstract

Background: A recent trial showed that management driven by prognostic assessment was effective in reducing the length of stay (LOS) for acute stable pulmonary embolism (PE). The efficacy and safety of this strategy in each subgroup of risk stratification remains unknown.

Methods: We conducted a post-hoc analysis of the randomized IPEP study to evaluate the effect of a management strategy guided by early use of a prognostic pathway in the low- and intermediate-high risk subgroups defined by the European Society of Cardiology (ESC) model. These subgroups were retrospectively identified in the control arm. The primary outcome was LOS. The secondary outcomes were 30-day clinical outcomes.

Results: Of 249 patients assigned to the intervention group, 60 (24%) were classified as low-, and 30 (12%) as intermediate-high risk. Among 249 patients assigned to the control group, 66 (27%) were low-, and 13 (5%) intermediate-high risk. In the low-risk group, the mean LOS was 2.1 (±0.9) days in the intervention group and 5.3 (±2.9) days in the control group (P < 0.001). In this group, no significant differences were observed in 30-day readmissions (0% vs. 3.0%, respectively), all-cause (0% vs. 0%) and PE-related mortality rates (0% vs. 0%), or severe adverse events (0% vs. 1.5%). In the intermediate-high risk group, the mean LOS was 5.3 (±1.8) days in the intervention group and 6.5 (±2.5) days in the control group (P = 0.08). In this group, no significant differences were observed in 30-day readmissions (3.3% vs. 3.0%, respectively), all-cause (6.7% vs. 7.7%) and PE-related mortality rates (6.7% vs. 7.7%), or severe adverse events (16.7% vs. 15.4%).

Conclusion: The use of a prognostic assessment and management pathway was effective in reducing the LOS for acute PE without comprising safety across subgroups of risk stratification.

Clinical trial registration: [ClinicalTrials.gov], Identifier [NCT02733198].

Keywords: LOS; complications; mortality; prognosis; pulmonary embolism.

Conflict of interest statement

DJ has served as an advisor or consultant for Bayer HealthCare Pharmaceuticals, Boehringer Ingelheim, Bristol-Myers Squibb, Daiichi Sankyo, Leo Pharma, Pfizer, ROVI, and Sanofi; served as a speaker or a member of a speakers’ bureau for Bayer HealthCare Pharmaceuticals, Boehringer Ingelheim, Bristol-Myers Squibb, Daiichi Sankyo, Leo Pharma, ROVI, and Sanofi; received grants for clinical research from Daiichi Sankyo, Sanofi, and ROVI. LJ-P has served as an advisor or consultant for Actelion Pharmaceuticals, Bayer HealthCare Pharmaceuticals, Leo Pharma, Menarini, Pfizer, and ROVI. PR-A has served as an advisor or consultant for Leo Pharma and Viatris; served as a speaker or a member of a speakers’ bureau for Bristol-Myers Squibb, Pfizer, Daiichi Sankyo, ROVI, and Viatris; received grants for clinical research from ROVI. BB is a recipient of the IGNITE Award from the Mary Horrigan Connors Center for Women’s Health and Gender Biology at Brigham and Women’s Hospital and reports that he is a consulting expert, on behalf of the plaintiff, for litigation related to two specific brand models of IVC filters. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2022 Jiménez, Rodríguez, Pintado, Pérez, Jara-Palomares, López-Reyes, Ruiz-Artacho, García-Ortega, Bikdeli, Lobo and the IPEP investigators.

Figures

FIGURE 1
FIGURE 1
Cumulative frequency distribution curve for the time to discharge of patients in the intervention group as compared with those in the control group. (A) Low-risk (B) Intermediate-high risk.

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Source: PubMed

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