| Literature DB >> 35462861 |
Mohamed Ahmed Nour1,2,3,4, Saloua Mrabet1,2,3, Mouled Ali Maidal4, Alya Gharbi1,2,3, Youssef Abida1, Amira Souissi1,2,3, Amina Gargouri1,2,3, Imen Kacem1,2,3, Amina Nasri1,2,3, Riadh Gouider1,2,3.
Abstract
Background: Stroke is a neurological emergency affecting both developed and developing countries. In Djibouti, stroke is the fourth leading cause of death. Our objective was to describe the demographic, clinical, paraclinical profile of stroke in Djibouti and identify the possible underlying risk factors.Entities:
Keywords: Epidemiology, Cardiovascular risk factors; Stroke, Djibouti, Khat
Year: 2022 PMID: 35462861 PMCID: PMC9020134 DOI: 10.1016/j.afjem.2022.03.002
Source DB: PubMed Journal: Afr J Emerg Med ISSN: 2211-419X
Distribution of history and toxic habits according to gender.
| Gender | ||||
|---|---|---|---|---|
| N | 70 | 50 | 20 | |
| Personal history of stroke | 8(11%) | 6(12%) | 2(10%) | 0.588 |
| Personal history of transient ischemic attack | 1(1%) | 1(2%) | 0 | |
| Hypertension | 51(73%) | 41(82%) | 10(50%) | 0.009 |
| Diabetes mellitus | 21(30%) | 14(28%) | 7(35%) | 0.381 |
| History of hypercholesterolemia | 15(21%) | 8(16%) | 7(35%) | 0.079 |
| Coronary artery disease | 8(11%) | 7(14%) | 1(5%) | |
| Heart failure | 2(3%) | 2(4%) | 0 | |
| Valvular heart disease | 1(1%) | 1(2%) | 0 | |
| Obesity | 3(4%) | 0 | 3(15%) | 0.021 |
| Tobacco use | 35(50%) | 32(64%) | 3(9%) | <10-3 |
| Khat chewing | 44(64%) | 42(84%) | 2(10%) | <10-3 |
| Alcohol | 1(1%) | 1(2%) | 0 | |
Characteristics of khat consumption.
| Values | P | ||
|---|---|---|---|
| Prevalence of khat consumption, N (%) | 44 (63) | ||
| Gender | M, N (%)F, N (%) | 42 (95)2 (5) | <10−3 |
| Average consumption frequency, Day / week | 5,52 | ||
| Daily consumption, N (%) | 24 (34) | ||
| Consumption time before stroke, Year | 34,87 | ||
| Weaning, N (%) | 3 (7) | ||
Fig. 1Personal history according to the type of stroke.
Fig. 2Distribution of patients according to the delay of consultation.
Comparison of stroke risk factors in our study and other previous studies.
| Author, country, year | N | Hypertension% | Diabetes mellitus% | Hypercholesterolemia% | History of stroke% | Heredity% |
|---|---|---|---|---|---|---|
| Bamekhlahetal., Yémen, 2014 | 774 | 57,2 | 44,8 | 8,7 | 10,6 | 13,4 |
| Limboleet al., Congo, 2017 | 166 | 84,3 | 36,1 | 45,2 | - | - |
| Deresse and Shaweno, Ethiopia, 2015 | 163 | 50,9 | 7,4 | 38,5 | 2,5 | 1,2 |
| Sylajaetal., India, 2018 | 2066 | 60.8 | 35.7 | 14.4 | 19.8 | 15,2 |
| Marroneet al., Brazil, 2011 | 688 | 75,1 | 22,6 | 47,1 | - | 16,4 |
| Omori et al., Japan, 2012 | 1087 | 70 | 39,8 | 50 | 21,3 | 30 |
| Ben Mahjoub et al., Tunisia, 2017 | 107 | 62 | 35 | - | - | - |
| Our study, Djibouti, 2017 | 70 | 73 | 30 | 21 | 11 | 13 |