The Epidemiology of Stroke in the Middle East

Overview

Journal Eur Stroke J

Specialties Cardiology & Vascular Diseases
Neurology

Date 2019 Apr 23

PMID 31008279

Citations 43

Authors

Maya El-Hajj

Pascale Salameh

Samar Rachidi

Hassan Hosseini

Affiliations

Soon will be listed here.

Abstract

Purpose: The purpose of this paper is to review and synthesize data from different countries in the Middle East on stroke and its potential risk factors.

Method: A systematic review of all published stroke articles in the Middle East between 1980 and May 2015 was conducted.

Findings: Sixty-four papers were included in the review. The incidence rate for all strokes ranged between 22.7 and 250 per 100,000 population per year. The prevalence rate for stroke ranged between 508 and 777 per 100,000 population. Among studies reporting gender differences, 75% reported a high male-to-female ratio among stroke patients. The mean age of stroke was within the sixth and the seventh decade. Ischemic stroke was the most reported type followed by intracerebral hemorrhage and subarachnoid hemorrhage. Hypertension was the most reported risk factor followed by diabetes. The overall case-fatality rate within one month was 12-32%.

Discussion: During the last decades, there was an increase in stroke incidence and mortality rates in the Middle East. The Middle East faces low rates of self-awareness and control of noncommunicable diseases and also lacks knowledge for stroke risk factors, awareness, causes, and symptoms.

Conclusion: There is an urgent need to develop more efficient and accurate methods to measure stroke in the Middle East. There is also a significant call to increase public awareness and implement interventions on stroke and its risk factors and symptoms to help people understand the negative impact of stroke on quality of life and potentially prevent this disease.

Citing Articles

Modifiable Risk Factors for Stroke in Syria: A Nationwide Multi-centre Case-Control Study.

Albitar M, Maya S, Al Ashabia K, Hamzeh G, Kakaje A Sci Rep. 2025; 15(1):115.

PMID: 39747952 PMC: 11695822. DOI: 10.1038/s41598-024-83569-z.

Machine learning-based prediction of one-year mortality in ischemic stroke patients.

Abujaber A, Yaseen S, Imam Y, Nashwan A, Akhtar N Oxf Open Neurosci. 2024; 3:kvae011.

PMID: 39569400 PMC: 11576476. DOI: 10.1093/oons/kvae011.

The one-year incidence of stroke in patients with atrial fibrillation in Jordan and its associated factors.

Al-Shatanawi T, Alkouri O, Khader Y, AlSalamat H, Qaladi O, Jarrah M Front Med (Lausanne). 2024; 11:1408249.

PMID: 39135714 PMC: 11317243. DOI: 10.3389/fmed.2024.1408249.

The Effect of the Charlson Comorbidity Index On In-Hospital Complications, Hospital Length of Stay, Mortality, and Readmissions Among Patients Hospitalized for Acute Stroke.

Shaikh N, Mohammed A, Seddiq M, Kidwai S, Shahzad D, Mahmoud M Cureus. 2024; 16(5):e60112.

PMID: 38864047 PMC: 11164611. DOI: 10.7759/cureus.60112.

Machine learning-based prognostication of mortality in stroke patients.

Abujaber A, Albalkhi I, Imam Y, Nashwan A, Akhtar N, Alkhawaldeh I Heliyon. 2024; 10(7):e28869.

PMID: 38601648 PMC: 11004568. DOI: 10.1016/j.heliyon.2024.e28869.

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