Predictors of recurrent ischemic stroke: A retrospective cohort study

Introduction: Cerebrovascular events are one of the most common causes of disability and the third leading cause of death in developed countries. Herein, we aimed to investigate the potential underlying causes of recurrent ischemic stroke. Methods: This study was a retrospective cohort study conducted in Razi Hospital, Tabriz, Iran between March 2018 and September 2020. Patients with the diagnosis of recurrent ischemic stroke during the study period were eligible to be included. Baseline characteristics and data on the recurrence were collected using chart reviews. Also, binary logistic regression was used to examine the factors related to recurrence. Results: Among one hundred participants with a mean age of 68.88 years, 59% were male. Hypertension, diabetes, heart disease, smoking, and hyperlipidemia were identified in 79%, 42%, 24%, 15%, and 15%, respectively. The average recurrence time of stroke was about 2.52 years. According to our findings, a significant relationship between the history of heart diseases and ischemic stroke recurrence was observed (risk ratio: 0.10: 95% confidence interval: 0.03-0.33). Conclusion: We found no significant association between ischemic stroke recurrence and underlying diseases except for heart diseases. Further large-scale observational studies and meta-analyses are recommended to evaluate the possible association.

Authors

Institutions

Publication Details

Journal
Journal of Research in Clinical Medicine
Published
2024-11-06
DOI
https://doi.org/10.34172/jrcm.33460
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of recurrent ischemic stroke: A retrospective cohort study

Yalda Sadeghpour, Sheida Shaafi, Seyed Aria Nejadghaderi, Zahra Masroor
Journal of Research in Clinical Medicine
Acute Ischemic Stroke Management
article

Predictors of recurrent ischemic stroke: A retrospective cohort study

Yalda Sadeghpour, Sheida Shaafi, Seyed Aria Nejadghaderi, Zahra Masroor
article en

Abstract

Introduction: Cerebrovascular events are one of the most common causes of disability and the third leading cause of death in developed countries. Herein, we aimed to investigate the potential underlying causes of recurrent ischemic stroke. Methods: This study was a retrospective cohort study conducted in Razi Hospital, Tabriz, Iran between March 2018 and September 2020. Patients with the diagnosis of recurrent ischemic stroke during the study period were eligible to be included. Baseline characteristics and data on the recurrence were collected using chart reviews. Also, binary logistic regression was used to examine the factors related to recurrence. Results: Among one hundred participants with a mean age of 68.88 years, 59% were male. Hypertension, diabetes, heart disease, smoking, and hyperlipidemia were identified in 79%, 42%, 24%, 15%, and 15%, respectively. The average recurrence time of stroke was about 2.52 years. According to our findings, a significant relationship between the history of heart diseases and ischemic stroke recurrence was observed (risk ratio: 0.10: 95% confidence interval: 0.03-0.33). Conclusion: We found no significant association between ischemic stroke recurrence and underlying diseases except for heart diseases. Further large-scale observational studies and meta-analyses are recommended to evaluate the possible association.

Journal of Research in Clinical MedicineVol. 12
Islamic Azad University of Tabriz (IR), Tabriz University of Medical Sciences (IR), Kerman University of Medical Sciences (IR)
Good health and well-being
Openalex Percentile: Top 70%
Acute Ischemic Stroke Management
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.