Prognostic impact of Atrial Fibrillation Pattern and other Clinical Biomarkers in patients with stroke admitted in a Tertiary Hospital in Cebu City from 2015-2022
https://doi.org/10.47895/amp.vi0.6751
- Author:
Sofia Maria S. Im
1
;
Ma. Teresa A. Cañete
1
Author Information
1. Section of Neurology, Department of Internal Medicine, Chong Hua Hospital, Cebu City, Cebu, Philippines
- Publication Type:Journal Article
- Keywords:
Pattern;
Clinical biomarkers
- MeSH:
Atrial Fibrillation;
Prognosis;
Stroke
- From:
Acta Medica Philippina
2024;58(4):52-58
- CountryPhilippines
- Language:English
-
Abstract:
Background:The effect of atrial fibrillation (AF) patterns and clinical biomarkers among patients with AF-related
stroke is still controversial.
Objectives:The objective of this study is to determine the association of the pattern of AF and markers on routine blood tests with the outcome of patients after an AF-related stroke.
Methods:This is a retrospective cohort study of patients with stroke and AF admitted in a tertiary hospital in Cebu City from 2015-2022. Patients’ baseline characteristics, laboratory tests, ECG, and radiologic data were collected. Descriptive statistics such as mean and frequency were computed. The Kaplan–Meier method and the log-rank test were used to calculate the incidence time. The Cox regression analysis was used to determine factors associated with survival. A stepwise regression technique was used in model building.
Results:The mortality rate of patients with AF-related stroke was 0.02. A Kaplan Meier survival estimate shows that patients with paroxysmal AF have better survival. Upon model building of variables, age, red cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), platelet count, low density lipid cholesterol (LDL-C), and pattern of AF were predictive of mortality in patients with AF-related stroke.
Conclusions:Among AF-related stroke patients admitted at a tertiary hospital in Cebu City, pattern of AF, age, RDW, NLR, platelet count, and LDL-C were associated with mortality. The parameters associated with increased mortality could be easily assessed using an ECG, CBC, and lipid profile. These are all readily available and cost-efficient.
- Full text:6751-Article Text-105190-2-10-20240313.pdf
