Annals of medicine · 2026
A nonlinear association between platelet-to-albumin ratio and one-year all-cause mortality in acute coronary syndrome patients.
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Li Jiaxin, Chen Lujun, Kang Yuan, Li Zhizhen, Mai Ruoxuan, Zhang Liangqing
Аннотация
BACKGROUND: The platelet-to-albumin ratio (PAR) has shown to be linked with cardiovascular disorders. However, the specific association between the admission PAR and one-year outcomes in patients with acute coronary syndrome (ACS) remains to be fully characterized. This study investigated the linkage between PAR levels and the occurrence of one-year all-cause mortality and major adverse cardiovascular and cerebrovascular events (MACCEs) in the ACS population.
PATIENTS AND METHODS: This retrospective cohort study enrolled patients diagnosed with ACS between January 2022 and December 2023. The primary endpoint was one-year all-cause mortality, and the secondary endpoint was MACCE, defined as a composite of all-cause mortality, non-fatal myocardial infarction, ischemic stroke, heart failure rehospitalization, target vessel revascularization or in-stent thrombosis, and malignant arrhythmia. To evaluate the relationship between PAR and these clinical events, we employed multivariate Cox proportional hazards models, restricted cubic splines (RCSs) and two-piecewise linear regression to identify potential non-linear associations and specific inflection points.
RESULTS: A total of 1326 participants (median age: 67 years) were followed for one year, during which 137 (10.3%) deaths and 280 (21.1%) MACCE events occurred. The one-year all-cause mortality rates across the PAR quartiles (Q1-Q4) were 11.6%, 6.1%, 7.0% and 16.7%, respectively, with a similar trend observed for MACCE (22.1%, 15.2%, 18.7% and 28.5%). RCS analysis revealed significant nonlinear associations between the PAR and both clinical endpoints (all p for nonlinear < 0.05). Two-piecewise linear regression analysis identified specific inflection points at 5.28 (95% confidence interval [CI]: 4.86-9.86) for one-year all-cause mortality and 5.29 (95% CI: 4.37-6.58) for MACCE.
CONCLUSIONS: The PAR demonstrates a significant nonlinear relationship with one-year all-cause mortality and MACCE in patients with ACS.
PATIENTS AND METHODS: This retrospective cohort study enrolled patients diagnosed with ACS between January 2022 and December 2023. The primary endpoint was one-year all-cause mortality, and the secondary endpoint was MACCE, defined as a composite of all-cause mortality, non-fatal myocardial infarction, ischemic stroke, heart failure rehospitalization, target vessel revascularization or in-stent thrombosis, and malignant arrhythmia. To evaluate the relationship between PAR and these clinical events, we employed multivariate Cox proportional hazards models, restricted cubic splines (RCSs) and two-piecewise linear regression to identify potential non-linear associations and specific inflection points.
RESULTS: A total of 1326 participants (median age: 67 years) were followed for one year, during which 137 (10.3%) deaths and 280 (21.1%) MACCE events occurred. The one-year all-cause mortality rates across the PAR quartiles (Q1-Q4) were 11.6%, 6.1%, 7.0% and 16.7%, respectively, with a similar trend observed for MACCE (22.1%, 15.2%, 18.7% and 28.5%). RCS analysis revealed significant nonlinear associations between the PAR and both clinical endpoints (all p for nonlinear < 0.05). Two-piecewise linear regression analysis identified specific inflection points at 5.28 (95% confidence interval [CI]: 4.86-9.86) for one-year all-cause mortality and 5.29 (95% CI: 4.37-6.58) for MACCE.
CONCLUSIONS: The PAR demonstrates a significant nonlinear relationship with one-year all-cause mortality and MACCE in patients with ACS.