Markers of inflammation predicts long-term mortality in patients with acute coronary syndrome – a cohort study

Our results suggest that level of inflammation at ACS presentation-beyond its established role as a major CHD risk factor-also predicts long-term mortality following ACS. Notably, inflammation at the time of the event was a stronger predictor of long-term mortality than the acute event outcome itself. However, limitations include the observational study design, moderate sample size, and absence of modern high-sensitivity cardiac biomarkers and contemporary ACS management strategies in this cohort. The results should therefore be interpreted in the context of historical clinical practice. While our model-wise complete-case approach ensured consistency, missing data remains a potential source of bias. Future studies in larger, more contemporary cohorts are needed to validate these findings and refine risk stratification strategies.

Authors

Institutions

Publication Details

Journal
BMC Cardiovascular Disorders
Published
2025-03-15
DOI
https://doi.org/10.1186/s12872-025-04608-9
Citations
9
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
12.49

Funders

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

Markers of inflammation predicts long-term mortality in patients with acute coronary syndrome – a cohort study

Michael Ringborn, Anders Halling, M. Freitag, Håkan Odeberg et al.
9 citations
BMC Cardiovascular Disorders
Acute Myocardial Infarction Research
12.49
article

Markers of inflammation predicts long-term mortality in patients with acute coronary syndrome – a cohort study

Michael Ringborn, Anders Halling, M. Freitag, Håkan Odeberg, Ivar Vaara, Jacob Odeberg, Ulf Lindblad, Marie Louise Persson, Lennart Råstam
article en
9 citations

Abstract

Our results suggest that level of inflammation at ACS presentation-beyond its established role as a major CHD risk factor-also predicts long-term mortality following ACS. Notably, inflammation at the time of the event was a stronger predictor of long-term mortality than the acute event outcome itself. However, limitations include the observational study design, moderate sample size, and absence of modern high-sensitivity cardiac biomarkers and contemporary ACS management strategies in this cohort. The results should therefore be interpreted in the context of historical clinical practice. While our model-wise complete-case approach ensured consistency, missing data remains a potential source of bias. Future studies in larger, more contemporary cohorts are needed to validate these findings and refine risk stratification strategies.

BMC Cardiovascular DisordersVol. 25(1)
University Hospital of North Norway (NO), Karolinska University Hospital (SE), Lund University (SE), Science for Life Laboratory (SE), Karolinska Institutet (SE), Region Blekinge (SE), UiT The Arctic University of Norway (NO), KTH Royal Institute of Technology (SE), University of Gothenburg (SE)
VINNOVA, Kungliga Tekniska Högskolan, Landstinget Blekinge
Good health and well-being
Openalex Percentile: Top 1%
Acute Myocardial Infarction Research
12.49
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.

Markers of inflammation predicts long-term mortality in patients with acute coronary syndrome – a cohort study — Michael Ringborn, Anders Halling, et al. · BMC Cardiovascular Disorders (2025) | TGRS Research Map | TGRS