Platelet Volume Parameters as Predictors of Valvular Thrombosis Risk in Patients with Aortic and Mitral Valve Replacement

Percutaneous valve implantation or surgical replacement with mechanical or biological valves are standard therapies for severe valvular heart diseases. Prosthetic valve thrombosis, though rare, is a serious complication, particularly with mechanical prostheses. This study aimed to investigate the predictive value of platelet volume parameters, including mean platelet volume (MPV), platelet distribution width (PDW), and platelet-large cell ratio (P-LCR), for valvular thrombosis risk in patients undergoing valve replacement therapy. A retrospective cross-sectional study was conducted from May 2002 to May 2020, involving 108 patients with a history of mitral or aortic valve replacement and valvular thrombosis, and 216 controls with a history of valve surgery without valvular malfunction. PDW was significantly associated with an increased risk of thrombosis after adjusting for confounders, while MPV showed a clinical difference but did not reach statistical significance. P-LCR did not exhibit a significant association. These findings suggest PDW as a potential predictor of valvular thrombosis in such patients. The ease of measuring platelet volume parameters suggests their utility in routine hematological analysis for identifying patients at higher risk of valvular thrombosis post-replacement surgery. Further studies are warranted to validate these findings and explore additional laboratory markers, such inflammatory markers, for thrombotic risk assessment in this population.

Authors

Institutions

Publication Details

Journal
Clinical and Applied Thrombosis/Hemostasis
Published
2025-01-01
DOI
https://doi.org/10.1177/10760296241311268
Citations
2
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
2.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Platelet Volume Parameters as Predictors of Valvular Thrombosis Risk in Patients with Aortic and Mitral Valve Replacement

Reza Mohseni‐Badalabadi, Seyed Parsa Eftekhar, Ali Hosseinsabet, Arash Jalali et al.
2 citations
Clinical and Applied Thrombosis/Hemostasis
Inflammatory Biomarkers in Disease Prognosis
2.09
article

Platelet Volume Parameters as Predictors of Valvular Thrombosis Risk in Patients with Aortic and Mitral Valve Replacement

Reza Mohseni‐Badalabadi, Seyed Parsa Eftekhar, Ali Hosseinsabet, Arash Jalali, Pooria Ahmadi, Boshra Pourbashash
article en
2 citations

Abstract

Percutaneous valve implantation or surgical replacement with mechanical or biological valves are standard therapies for severe valvular heart diseases. Prosthetic valve thrombosis, though rare, is a serious complication, particularly with mechanical prostheses. This study aimed to investigate the predictive value of platelet volume parameters, including mean platelet volume (MPV), platelet distribution width (PDW), and platelet-large cell ratio (P-LCR), for valvular thrombosis risk in patients undergoing valve replacement therapy. A retrospective cross-sectional study was conducted from May 2002 to May 2020, involving 108 patients with a history of mitral or aortic valve replacement and valvular thrombosis, and 216 controls with a history of valve surgery without valvular malfunction. PDW was significantly associated with an increased risk of thrombosis after adjusting for confounders, while MPV showed a clinical difference but did not reach statistical significance. P-LCR did not exhibit a significant association. These findings suggest PDW as a potential predictor of valvular thrombosis in such patients. The ease of measuring platelet volume parameters suggests their utility in routine hematological analysis for identifying patients at higher risk of valvular thrombosis post-replacement surgery. Further studies are warranted to validate these findings and explore additional laboratory markers, such inflammatory markers, for thrombotic risk assessment in this population.

Clinical and Applied Thrombosis/HemostasisVol. 31
Shariati Hospital (IR), Tehran University of Medical Sciences (IR)
Good health and well-being
Openalex Percentile: Top 15%
Inflammatory Biomarkers in Disease Prognosis
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.