Repository of Research and Investigative Information

Repository of Research and Investigative Information

دانشگاه علوم پزشکی و خدمات بهداشتی درمانی زنجان

Modeling survival in patients with brain stroke in the presence of competing risks

(2021) Modeling survival in patients with brain stroke in the presence of competing risks. Journal of Preventive Medicine and Public Health. pp. 55-62. ISSN 19758375

[img] Text
jpmph-20-463.pdf

Download (371kB)

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Objectives: After heart disease, brain stroke (BS) is the second most common cause of death worldwide, underscoring the importance of understanding preventable and treatable risk factors for the outcomes of BS. This study aimed to model the survival of patients with BS in the presence of competing risks. Methods: This longitudinal study was conducted on 332 patients with a definitive diagnosis of BS. Demographic characteristics and risk factors were collected by a validated checklist. Patients' mortality status was investigated by telephone follow-up to identify deaths that may be have been caused by stroke or other factors (heart disease, diabetes, high cholesterol, etc.). Data were analyzed by the Lunn-McNeil approach at alpha=0.1. Results: Older age at diagnosis (59-68 years: Adjusted hazard ratio aHR, 2.19; 90% confidence interval CI, 1.38 to 3.48; 69-75 years: AHR, 5.04; 90% CI, 3.25 to 7.80; �76 years: AHR, 5.30; 90% CI, 3.40 to 8.44), having heart disease (aHR, 1.65; 90% CI, 1.23 to 2.23), oral contraceptive pill use (women only) (aHR, 0.44; 90% CI, 0.24 to 0.78) and ischemic stroke (aHR, 0.52; 90% CI, 0.36 to 0.74) were directly related to death from BS. Older age at diagnosis (59-68 years: AHR, 21.42; 90% CI, 3.52 to 130.39; 75-69 years: AHR, 16.48; 90% CI, 2.75 to 98.69; �76 years: AHR, 26.03; 90% CI, 4.06 to 166.93) and rural residence (aHR, 2.30; 90% CI, 1.15 to 4.60) were directly related to death from other causes. Significant risk factors were found for both causes of death. Conclusions: BS-specific and non-BS-specific mortality had different risk factors. These findings could be utilized to prescribe optimal and specific treatment. © 2021 Korean Society for Preventive Medicine. All rights reserved.

Item Type: Article
Keywords: Models; Risk factors; Stroke; Survival analysis
Page Range: pp. 55-62
Journal or Publication Title: Journal of Preventive Medicine and Public Health
Abstract and Indexing: Pubmed, Scopus
Quartile : Q2
Volume: 54
Number: 1
Publisher: Korean Society for Preventive Medicine
Identification Number: https://doi.org/10.3961/JPMPH.20.463
ISSN: 19758375
Depositing User: خانم فائزه مظفری
URI: http://repository.zums.ac.ir/id/eprint/7989

Actions (login required)

View Item View Item