Comparative Prognostic Value of CHA2DS2-VASc Score and Atherogenic Plasma Index for One-year Mortality Prediction in Ischemic Stroke Patients

Objective: The CHA₂DS₂-VASc (congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, stroke, vascular disease, age, female gender) score is significantly associated with poor outcomes after ischemic stroke. However, the impact of lipid parameters on prognosis remains unclear. This study aimed to investigate the association between lipid parameters and outcomes, and compare them to the CHA₂DS₂-VASc score. Method: A total of 583 ischemic stroke patients admitted between 2018 and 2022 were retrospectively analyzed. Demographic data, CHA₂DS₂-VASc scores, and lipid parameters, including ratio of triglyceride to high density lipoprotein (HDL-C), light density lipoprotein (LDL-C) to HDL and atherogenic plasma index (API) were recorded. Patients were followed for one year, with all-cause mortality as the primary endpoint. Predictors of mortality were determined using Cox regression analysis. Results: The mean age of the 583 patients was 71.05±11.83 years, with a one-year all-cause mortality rate of 17.3% (n=101). Total cholesterol, non-HDL-C, and API were significantly higher in patients with poor outcomes (p=0.003, p=0.031, p=0.019, respectively). Both API and CHA₂DS₂-VASc scores were strong mortality predictors [hazard ratio (HR): 1.062, 95% confidence interval (CI): 0.973-1.252, p=0.007] and (HR: 1.567, 95% CI: 1.003-2.174, p=0.004), respectively. Receiver operating curve analysis revealed higher predictive power for CHA₂DS₂-VASc score compared to API (area under the curve: 0.756; p=0.014 vs. 0.568; p=0.045). Conclusion: CHA₂DS₂-VASc and API are valuable predictors of one-year mortality after ischemic stroke. CHA2DS2-VASc score, which includes embolism risk factors, has stronger sensitivity and specificity for predicting poor outcomes compared to lipid parameters.

Authors

Publication Details

Journal
Bagcilar Medical Bulletin
Published
2025-03-18
DOI
https://doi.org/10.4274/bmb.galenos.2025.57966
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Prognostic Value of CHA2DS2-VASc Score and Atherogenic Plasma Index for One-year Mortality Prediction in Ischemic Stroke Patients

Doğaç Okşen, Muzaffer Aslan, Yunus Emre Yavuz
1 citations
Bagcilar Medical Bulletin
Artificial Intelligence in Healthcare
2.94
article

Comparative Prognostic Value of CHA2DS2-VASc Score and Atherogenic Plasma Index for One-year Mortality Prediction in Ischemic Stroke Patients

Doğaç Okşen, Muzaffer Aslan, Yunus Emre Yavuz
article en
1 citations

Abstract

Objective: The CHA₂DS₂-VASc (congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, stroke, vascular disease, age, female gender) score is significantly associated with poor outcomes after ischemic stroke. However, the impact of lipid parameters on prognosis remains unclear. This study aimed to investigate the association between lipid parameters and outcomes, and compare them to the CHA₂DS₂-VASc score. Method: A total of 583 ischemic stroke patients admitted between 2018 and 2022 were retrospectively analyzed. Demographic data, CHA₂DS₂-VASc scores, and lipid parameters, including ratio of triglyceride to high density lipoprotein (HDL-C), light density lipoprotein (LDL-C) to HDL and atherogenic plasma index (API) were recorded. Patients were followed for one year, with all-cause mortality as the primary endpoint. Predictors of mortality were determined using Cox regression analysis. Results: The mean age of the 583 patients was 71.05±11.83 years, with a one-year all-cause mortality rate of 17.3% (n=101). Total cholesterol, non-HDL-C, and API were significantly higher in patients with poor outcomes (p=0.003, p=0.031, p=0.019, respectively). Both API and CHA₂DS₂-VASc scores were strong mortality predictors [hazard ratio (HR): 1.062, 95% confidence interval (CI): 0.973-1.252, p=0.007] and (HR: 1.567, 95% CI: 1.003-2.174, p=0.004), respectively. Receiver operating curve analysis revealed higher predictive power for CHA₂DS₂-VASc score compared to API (area under the curve: 0.756; p=0.014 vs. 0.568; p=0.045). Conclusion: CHA₂DS₂-VASc and API are valuable predictors of one-year mortality after ischemic stroke. CHA2DS2-VASc score, which includes embolism risk factors, has stronger sensitivity and specificity for predicting poor outcomes compared to lipid parameters.

Bagcilar Medical BulletinVol. 10(1)
Good health and well-being
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare
2.94
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.

Comparative Prognostic Value of CHA2DS2-VASc Score and Atherogenic Plasma Index for One-year Mortality Prediction in Ischemic Stroke Patients — Doğaç Okşen, Muzaffer Aslan, et al. · Bagcilar Medical Bulletin (2025) | TGRS Research Map | TGRS