Literature DB >> 34587795

Risk Factor Characterization of Ischemic Stroke Subtypes Among West Africans.

Fred S Sarfo1, Bruce Ovbiagele2, Onoja Akpa3,4, Albert Akpalu5, Kolawole Wahab6, Reginald Obiako7, Morenikeji Komolafe4, Lukman Owolabi8, Godwin Ogbole9, Benedict Calys-Tagoe10, Adekunle Fakunle11, Taofeek Sanni12, Gebregziabher Mulugeta13, Salaam Abdul14, Adeseye A Akintunde15, Samuel Olowookere4, Ezinne O Uvere11, Philip Ibinaiye7, Joshua Akinyemi5, Kelechukwu Uwanuruochi16, Balogun Olayemi7, Olufemi A Odunlami17, Esther Abunimye8, Oyedunni Arulogun18, Suleiman Y Isah8, Sani A Abubakar7, Adebayo Oladimeji, Philip Adebayo19, Vincent Shidali20, Innocent I Chukwuonye16, Josephine Akpalu10, Moyinoluwalogo M Tito-Ilori11, Osahon J Asowata2,3,18, Emmanuel O Sanya6, Ganiyu Amusa14, Ugochukwu Onyeonoro16, James A Ogunmodede6, Abdullateef G Sule7, Cynthia Akisanya17, Yaw Mensah21, Olalekan I Oyinloye6, Lambert Appiah22, Atinuke M Agunloye5, Godwin O Osaigbovo14, Eunice Olabinri12, Philip M Kolo6, Obiora Okeke16, Abiodun M Adeoye5, Olabamiji Ajose5, Carolyn Jenkins13, Daniel T Lackland13, Adedeji A Egberongbe23, Olaleye Adeniji17, Osimhiarherhuo Ohifemen Adeleye17, Hemant K Tiwari24, Donna Arnett25, Ruth Y Laryea10, Taiwo Olunuga17, Kazeem S Akinwande17, Lucius Imoh14, Okechukwu S Ogah, Ezinne S Melikam, Adeyemo Adebolaji10, Wisdom Oguike7, Olumayowa Ogunronbi16, Wasiu Adeniyi17, Obiabo Y Olugbo26, Abiodun H Bello6, Kenneth A Ohagwu16, Luqman Ogunjimi27, Francis Agyekum28, Henry Iheonye29, Julius Adesina17, Samuel Diala11, Hamisu A Dambatta8, Joyce Ikubor25, Arti Singh1, Sheila Adamu22, Vida Obese22, Nathaniel Adusei22, Dorcas Owusu1, Michael Ampofo22, Raelle Tagge2, Richard Efidi, Bimbo Fawale4, Joseph Yaria, Rufus Akinyemi17, Mayowa Owolabi11.   

Abstract

BACKGROUND AND
PURPOSE: To identify the qualitative and quantitative contributions of conventional risk factors for occurrence of ischemic stroke and its key pathophysiologic subtypes among West Africans.
METHODS: The SIREN (Stroke Investigative Research and Educational Network) is a multicenter, case-control study involving 15 sites in Ghana and Nigeria. Cases include adults aged ≥18 years with ischemic stroke who were etiologically subtyped using the A-S-C-O-D classification into atherosclerosis, small-vessel occlusion, cardiac pathology, other causes, and dissection. Controls were age- and gender-matched stroke-free adults. Detailed evaluations for vascular, lifestyle, and psychosocial factors were performed. We used conditional logistic regression to estimate adjusted odds ratios with 95% CI.
RESULTS: There were 2431 ischemic stroke case and stroke-free control pairs with respective mean ages of 62.2±14.0 versus 60.9±13.7 years. There were 1024 (42.1%) small vessel occlusions, 427 (17.6%) large-artery atherosclerosis, 258 (10.6%) cardio-embolic, 3 (0.1%) carotid dissections, and 719 (29.6%) undetermined/other causes. The adjusted odds ratio (95% CI) for the 8 dominant risk factors for ischemic stroke were hypertension, 10.34 (6.91-15.45); dyslipidemia, 5.16 (3.78-7.03); diabetes, 3.44 (2.60-4.56); low green vegetable consumption, 1.89 (1.45-2.46); red meat consumption, 1.89 (1.45-2.46); cardiac disease, 1.88 (1.22-2.90); monthly income $100 or more, 1.72 (1.24-2.39); and psychosocial stress, 1.62 (1.18-2.21). Hypertension, dyslipidemia, diabetes were confluent factors shared by small-vessel, large-vessel and cardio-embolic subtypes. Stroke cases and stroke-free controls had a mean of 5.3±1.5 versus 3.2±1.0 adverse cardio-metabolic risk factors respectively (P<0.0001).
CONCLUSIONS: Traditional vascular risk factors demonstrate important differential effect sizes with pathophysiologic, clinical and preventative implications on the occurrence of ischemic stroke among indigenous West Africans.

Entities:  

Keywords:  atherosclerosis; dyslipidemia; hypertension; ischemic stroke; risk factors

Mesh:

Year:  2021        PMID: 34587795      PMCID: PMC8712357          DOI: 10.1161/STROKEAHA.120.032072

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


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