Markers of inflammation predicts long-term mortality in patients with acute coronary syndrome – a cohort study
(2025) In BMC Cardiovascular Disorders 25(1).- Abstract
Background: Chronic low-grade inflammation is a well-known risk factor for coronary heart disease (CHD) and future cardiovascular events. Anti-inflammatory therapy can reduce the risk of ischemic cardiovascular disease (CVD) events following myocardial infarction (MI). However, it remains unknown to what extent inflammation at the time of an acute event predicts long-term outcomes. We explored whether routine blood measurements of inflammatory markers during an acute coronary syndrome (ACS) are predictive of long-term mortality. Methods: In a cohort of 5292 consecutive patients admitted to a coronary intensive care unit with suspected ACS over a four-year period in the Carlscrona Heart Attack Prognosis Study (CHAPS), 908 patients aged... (More)
Background: Chronic low-grade inflammation is a well-known risk factor for coronary heart disease (CHD) and future cardiovascular events. Anti-inflammatory therapy can reduce the risk of ischemic cardiovascular disease (CVD) events following myocardial infarction (MI). However, it remains unknown to what extent inflammation at the time of an acute event predicts long-term outcomes. We explored whether routine blood measurements of inflammatory markers during an acute coronary syndrome (ACS) are predictive of long-term mortality. Methods: In a cohort of 5292 consecutive patients admitted to a coronary intensive care unit with suspected ACS over a four-year period in the Carlscrona Heart Attack Prognosis Study (CHAPS), 908 patients aged 30–74 years (644 men, 264 women) were diagnosed with MI (527) or unstable angina (UA) (381). A 10-year follow-up study was conducted using Swedish national registries, with total mortality and cardiac mortality as primary outcomes. Results: Long-term total and cardiac mortality were significantly associated with higher leukocyte counts (e.g., neutrophils, monocytes, p ≤ 0.001), higher levels of inflammatory biomarkers (e.g., C-reactive protein, Serum Amyloid A, fibrinogen, p ≤ 0.001), and elevated neutrophil–lymphocyte ratio (NLR) (p < 0.001) and monocyte-lymphocyte ratio (MLR) (p = 0.002), all measured at ACS admission. These associations were independent of ACS diagnosis. Conclusion: 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.
(Less)
- author
- Odeberg, Jacob ; Halling, Anders LU ; Ringborn, Michael ; Freitag, Michael LU ; Persson, Marie Louise ; Vaara, Ivar ; Råstam, Lennart LU ; Odeberg, Håkan LU and Lindblad, Ulf LU
- organization
- publishing date
- 2025-12
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Acute coronary syndrome, Cardiac disease mortality, Inflammation, Myocardial infarction, Prognosis, Unstable angina
- in
- BMC Cardiovascular Disorders
- volume
- 25
- issue
- 1
- article number
- 190
- publisher
- BioMed Central (BMC)
- external identifiers
-
- scopus:105000174742
- pmid:40089663
- ISSN
- 1471-2261
- DOI
- 10.1186/s12872-025-04608-9
- language
- English
- LU publication?
- yes
- id
- 6505ccea-df5f-4a41-ab97-0e0d2e55c043
- date added to LUP
- 2026-01-12 15:14:22
- date last changed
- 2026-02-09 17:48:35
@article{6505ccea-df5f-4a41-ab97-0e0d2e55c043,
abstract = {{<p>Background: Chronic low-grade inflammation is a well-known risk factor for coronary heart disease (CHD) and future cardiovascular events. Anti-inflammatory therapy can reduce the risk of ischemic cardiovascular disease (CVD) events following myocardial infarction (MI). However, it remains unknown to what extent inflammation at the time of an acute event predicts long-term outcomes. We explored whether routine blood measurements of inflammatory markers during an acute coronary syndrome (ACS) are predictive of long-term mortality. Methods: In a cohort of 5292 consecutive patients admitted to a coronary intensive care unit with suspected ACS over a four-year period in the Carlscrona Heart Attack Prognosis Study (CHAPS), 908 patients aged 30–74 years (644 men, 264 women) were diagnosed with MI (527) or unstable angina (UA) (381). A 10-year follow-up study was conducted using Swedish national registries, with total mortality and cardiac mortality as primary outcomes. Results: Long-term total and cardiac mortality were significantly associated with higher leukocyte counts (e.g., neutrophils, monocytes, p ≤ 0.001), higher levels of inflammatory biomarkers (e.g., C-reactive protein, Serum Amyloid A, fibrinogen, p ≤ 0.001), and elevated neutrophil–lymphocyte ratio (NLR) (p < 0.001) and monocyte-lymphocyte ratio (MLR) (p = 0.002), all measured at ACS admission. These associations were independent of ACS diagnosis. Conclusion: 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.</p>}},
author = {{Odeberg, Jacob and Halling, Anders and Ringborn, Michael and Freitag, Michael and Persson, Marie Louise and Vaara, Ivar and Råstam, Lennart and Odeberg, Håkan and Lindblad, Ulf}},
issn = {{1471-2261}},
keywords = {{Acute coronary syndrome; Cardiac disease mortality; Inflammation; Myocardial infarction; Prognosis; Unstable angina}},
language = {{eng}},
number = {{1}},
publisher = {{BioMed Central (BMC)}},
series = {{BMC Cardiovascular Disorders}},
title = {{Markers of inflammation predicts long-term mortality in patients with acute coronary syndrome – a cohort study}},
url = {{http://dx.doi.org/10.1186/s12872-025-04608-9}},
doi = {{10.1186/s12872-025-04608-9}},
volume = {{25}},
year = {{2025}},
}