Prognostic value of platelet indices in patients with acute pulmonary thromboembolism

Ghaffari, Samad and Parvizian, Nashmil and Pourafkari, Leili and Separham, Ahmad and Hajizadeh, Reza and Nader, Nader D and Javanshir, Elnaz and Sepehrvand, Nariman and Tajlil, Arezou and Nasiri, Babak (2020) Prognostic value of platelet indices in patients with acute pulmonary thromboembolism. Journal of Cardiovascular and Thoracic Research, 12 (1). pp. 56-62. ISSN 2008-5117

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Abstract

Introduction: Given the role of platelets in thrombus formation, markers of platelet activation may be able to predict outcomes in patients with acute pulmonary thromboembolism (PTE).

Methods: In a prospective cohort study, 492 patients with acute PTE were enrolled. Patients were evaluated for platelet indices including mean platelet volume (MPV), platelet distribution width (PDW), and platelet-lymphocyte-ratio (PLR), as well as for the simplified Pulmonary Embolism Severity Index (PESI) risk score. The primary endpoint was in-hospital all-cause mortality. Major adverse cardiopulmonary events (MACPE, composite of mortality, thrombolysis, mechanical ventilation and surgical embolectomy during index hospitalization) and all-cause death during follow-up were secondary endpoints.
Results: MPV, PDW and PLR were 9.9±1.0 fl, 13.5±6.1%, and 14.7±14.5, respectively, in the total cohort. Whilst MPV was higher in those with adverse events (10.1±1.0 vs 9.9±1.0 fl; P = 0.019), PDW and PLR were not different between two groups. MPV with a cut-off point of 9.85 fl had a sensitivity of 81% and a specificity of 50% in predicting in-hospital mortality, but it had lower performance in predicting MACPE (Area under the curve: AUC 0.58; 95%CI 0.52-0.63) or long-term mortality (AUC 0.54; 95% CI 0.47-0.61). The AUC for all these three markers were lower than the AUC calculated for the simplified PESI score (0.80; 0.71-0.88).
Conclusion: Platelet indices had only fair-to-good predictive performance in predicting in-hospital all-cause death. Established PTE risk scoring models such as simplified PESI outperform these indices in predicting adverse outcomes.

Item Type: Article
Subjects: OA STM Library > Medical Science
Depositing User: Unnamed user with email support@oastmlibrary.com
Date Deposited: 04 May 2023 06:35
Last Modified: 07 Sep 2024 10:27
URI: http://geographical.openscholararchive.com/id/eprint/703

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