CC BY 4.0 · TH Open 2022; 06(04): e347-e353
DOI: 10.1055/a-1942-2526
Original Article

The Accuracy of Hestia and Simplified PESI to Predict the Prognosis in Pulmonary Embolism: Systematic Review with Meta-analysis

Miguel Palas
1   Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
,
Beatriz Valente Silva
2   Centro Cardiovascular da Universidade de Lisboa (CCUL@RISE), CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
3   Serviço de Cardiologia, Hospital Universitário de Santa Maria (CHULN), Lisboa, Portugal
,
Cláudia Jorge
2   Centro Cardiovascular da Universidade de Lisboa (CCUL@RISE), CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
3   Serviço de Cardiologia, Hospital Universitário de Santa Maria (CHULN), Lisboa, Portugal
,
Ana G. Almeida
2   Centro Cardiovascular da Universidade de Lisboa (CCUL@RISE), CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
3   Serviço de Cardiologia, Hospital Universitário de Santa Maria (CHULN), Lisboa, Portugal
,
Fausto J. Pinto
2   Centro Cardiovascular da Universidade de Lisboa (CCUL@RISE), CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
3   Serviço de Cardiologia, Hospital Universitário de Santa Maria (CHULN), Lisboa, Portugal
,
2   Centro Cardiovascular da Universidade de Lisboa (CCUL@RISE), CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
3   Serviço de Cardiologia, Hospital Universitário de Santa Maria (CHULN), Lisboa, Portugal
4   Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
› Author Affiliations

Abstract

Introduction Pulmonary embolism (PE) patients at low risk of early complications may be considered for early discharge or home treatment. Last decades evidence has been growing about the safety of several clinical prediction rules for selecting those patients, such as simplified Pulmonary Embolism Severity Index (sPESI) and Hestia Criteria. The aim of this review was to compare the safety of both strategies regarding 30-days mortality, venous thromboembolism recurrence and major bleeding.

Methods A systematic literature search was conducted using MEDLINE, CENTRAL and Web of Science on 6th January 2022. We searched for studies that applied both Hestia Criteria and sPESI to the same population. Sensitivity, specificity and diagnostic odds ratio were calculated for both stratification rules. Both Hestia and sPESI criteria of low risk were evaluated to set the number of patients that could be misclassified for each 1000 patients with PE. The estimates were reported with their 95% confidence intervals (95%CI).

Results This systematic review included 3 studies. Only mortality data was able to be pooled. Regarding mortality, the sensitivity, specificity and diagnostic odds ratio was 0.923 (95%CI: 0.843–0.964), 0.338 (95%CI: 0.262–0.423) and 6.120 (95%CI: 2.905–12.890) for Hestia Criteria; and 0.972 (95%CI: 0.917–0.991), 0.269 (95%CI: 0.209–0.338) and 12.738 (95%CI: 3.979–40.774) for sPESI score. The negative predictive values were higher than 0.977. The risk of misclassification of high-risk patients in low risk was 5 (95%CI: 3–11) with Hestia and 2 (95%CI: 1–6) with sPESI, for each 1000 patients with PE in terms of mortality.

Conclusion The risk of misclassification of patients presenting with low-risk pulmonary embolism with the intent of early discharge or home treatment with both Hestia Criteria and sPESI score is low and these data supports methods for this purpose.

Supplementary Material



Publication History

Received: 19 October 2022

Accepted: 19 April 2022

Accepted Manuscript online:
13 September 2022

Article published online:
23 October 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
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