Evaluation of the platelet-to-white-cell ratio (PWR) as predictor of long-term all-cause mortality in patients with acute myocardial infarction

The platelet-to-white-cell ratio has recently gained attention as a potential prognostic indicator. This study investigated the association between platelet-to-white-cell ratio at admission and long-term mortality in acute myocardial infarction patients, in comparison to leukocyte and platelet counts alone. The study included 4,964 patients aged 25-84 years with incident acute myocardial infarction hospitalized between 2010 and 2017, as recorded in the population-based Augsburg Myocardial Infarction Register. Platelet-to-white-cell ratio was calculated from admission platelets divided by leukocyte counts. Cox proportional hazards regression models were used to assess the associations between quartiles of platelet-to-white-cell ratio, of leukocytes, and of platelets with long-term all-cause mortality. During a median follow-up time of 4.7 years, 1,224 patients died. Platelet count in the highest quartile was observed to be associated with increased mortality risk (HR 1.32 (1.06-1.63). Platelet-to-white-cell ratio values were also found to be associated with risk of mortality. Multivariable adjusted HRs for the second, third, and fourth quartiles of platelet-to-white-cell ratio (vs. lowest quartile) were 0.64 (95% CI: 0.52-0.80), 0.83 (0.67-1.03), and 0.78 (0.62-0.98), respectively. Platelet-to-white-cell ratio at admission was associated with long-term mortality in patients with acute myocardial infarction. As a simple, cost-effective biomarker, platelet-to-white-cell ratio may support individualized risk stratification and clinical decision-making in acute myocardial infarction care.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-06-09
DOI
https://doi.org/10.1038/s41598-026-56805-x
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the platelet-to-white-cell ratio (PWR) as predictor of long-term all-cause mortality in patients with acute myocardial infarction

Michael Kraus, Christa Meisinger, Timo Schmitz, P Raake et al.
Scientific Reports
Inflammatory Biomarkers in Disease Prognosis
article

Evaluation of the platelet-to-white-cell ratio (PWR) as predictor of long-term all-cause mortality in patients with acute myocardial infarction

Michael Kraus, Christa Meisinger, Timo Schmitz, P Raake, Jakob Linseisen
article en

Abstract

The platelet-to-white-cell ratio has recently gained attention as a potential prognostic indicator. This study investigated the association between platelet-to-white-cell ratio at admission and long-term mortality in acute myocardial infarction patients, in comparison to leukocyte and platelet counts alone. The study included 4,964 patients aged 25-84 years with incident acute myocardial infarction hospitalized between 2010 and 2017, as recorded in the population-based Augsburg Myocardial Infarction Register. Platelet-to-white-cell ratio was calculated from admission platelets divided by leukocyte counts. Cox proportional hazards regression models were used to assess the associations between quartiles of platelet-to-white-cell ratio, of leukocytes, and of platelets with long-term all-cause mortality. During a median follow-up time of 4.7 years, 1,224 patients died. Platelet count in the highest quartile was observed to be associated with increased mortality risk (HR 1.32 (1.06-1.63). Platelet-to-white-cell ratio values were also found to be associated with risk of mortality. Multivariable adjusted HRs for the second, third, and fourth quartiles of platelet-to-white-cell ratio (vs. lowest quartile) were 0.64 (95% CI: 0.52-0.80), 0.83 (0.67-1.03), and 0.78 (0.62-0.98), respectively. Platelet-to-white-cell ratio at admission was associated with long-term mortality in patients with acute myocardial infarction. As a simple, cost-effective biomarker, platelet-to-white-cell ratio may support individualized risk stratification and clinical decision-making in acute myocardial infarction care.

Scientific ReportsVol. 16(1)
University of Augsburg (DE), University Hospital Augsburg (DE)
Bundesministerium für Gesundheit, Helmholtz Zentrum München
Good health and well-being
Openalex Percentile: Top 8%
Inflammatory Biomarkers in Disease Prognosis
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.