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Sarfo FS, Akpa O, Ovbiagele B, Akpalu A, Wahab K, Komolafe M, Obiako R, Owolabi L, Osaigbovo GO, Jenkins C, Ogbole G, Fakunle A, Tiwari HK, Arulogun O, Arnett DK, Asowata O, Ogah O, Akinyemi RO, Owolabi MO. Influence of age on links between major modifiable risk factors and stroke occurrence in West Africa. J Neurol Sci 2021; 428:117573. [PMID: 34260999 PMCID: PMC9980381 DOI: 10.1016/j.jns.2021.117573] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 07/03/2021] [Accepted: 07/06/2021] [Indexed: 01/30/2023]
Abstract
Background The burden of stroke in Africa is high. Understanding how age associates with major modifiable stroke risk factors could inform tailored demographic stroke prevention strategies. Purpose To quantify the magnitude and direction of the effect sizes of key modifiable stroke risk factors according to three age groups: <50 years (young), 50-65 years (middle age) and > 65 years (elderly) in West Africa. Methods This was a case-control study involving 15 sites in Ghana and Nigeria. Cases included adults aged ≥18 years with CT/MRI scan-typed stroke. Controls were age-and gender-matched stroke-free adults. Detailed evaluations for vascular, lifestyle and psychosocial factors were performed. We estimated adjusted odds ratios (aOR) using conditional logistic regression and population attributable risk (PAR) with 95% Confidence Interval of vascular risk factors by age groups. Results Among 3553 stroke cases, 813 (22.9%) were young, 1441 (40.6%) were middle-aged and 1299 (36.6%) were elderly. Among the 5 co-shared risk factors, dyslipidemia with PAR and aOR (95%CI) of 62.20% (52.82-71.58) and 4.13 (2.64-6.46) was highest among the young age group; hypertension with PAR of 94.31% (91.82-96.80) and aOR of 28.93 (15.10-55.44) was highest among the middle-age group. Diabetes with PAR of 32.29%(27.52-37.05) and aOR of 3.49 (2.56-4.75); meat consumption with PAR of 42.34%(32.33-52.35) and aOR of 2.40 (1.76, 3.26); and non-consumption of green vegetables, PAR of 16.81%(12.02-21.60) and aOR of 2.23 (1.60-3.12) were highest among the elderly age group. However confidence intervals of risk estimates overlapped across age groups. Additionally, among the young age group cigarette smoking, psychosocial stress and cardiac disease were independently associated with stroke. Furthermore, education, stress, physical inactivity and salt intake were associated with stroke in the middle-age group while cardiac disease was associated with stroke in the elderly age group. Conclusion There is a differential influence of age on the associations of major risk factors with stroke in this West African cohort. Targeting modifiable factors predominant within an age group may be more effective as a stroke prevention strategy.
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Affiliation(s)
- Fred S Sarfo
- Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
| | - Onoja Akpa
- College of Medicine, University of Ibadan, Nigeria
| | - Bruce Ovbiagele
- Weill Institute for Neurosciences, School of Medicine, University of California San-Francisco, USA
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Sarfo FS, Akinyemi J, Akpalu A, Wahab K, Yaria J, Adebayo O, Komolafe M, Obiako R, Owolabi L, Osaigbovo GO, Jenkins C, Mensah Y, Ogbole G, Calys-Tagoe B, Adebayo P, Appiah L, Singh A, Fakunle A, Uvere E, Hemant T, Balogun O, Adeleye O, Fawale B, Abdulwasiu A, Ogunjimi L, Akinola O, Arulogun O, Donna A, Ogah O, Akinyemi R, Ovbiagele B, Owolabi MO. Frequency and factors associated with post-stroke seizures in a large multicenter study in West Africa. J Neurol Sci 2021; 427:117535. [PMID: 34130063 PMCID: PMC8325635 DOI: 10.1016/j.jns.2021.117535] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 06/06/2021] [Accepted: 06/07/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND Post-stroke seizures (PSS) are associated with significant morbidity and mortality across the globe. There is a paucity of data on PSS in Africa. PURPOSE To assess the frequency and factors associated with PSS by stroke types across 15 hospitals in Nigeria and Ghana. METHODS We analyzed data on all stroke cases recruited into the Stroke Investigative Research and Educational Network (SIREN). We included adults aged ≥18 years with radiologically confirmed ischemic stroke (IS) or intracerebral hemorrhage (ICH). PSS were defined as acute symptomatic seizures occurring at stroke onset and/or during acute hospitalization up until discharge. We used logistic regression to estimate adjusted odds ratios (aOR) with 95% Confidence Interval. RESULTS Among 3344 stroke patients, 499 (14.9%) had PSS (95% CI: 13.7-16.2%). The mean duration of admission in days for those with PSS vs no PSS was 17.4 ± 28.6 vs 15.9 ± 24.7, p = 0.72. There were 294(14.1%) PSS among 2091 ischemic strokes and 159(17.7%) among 897 with ICH, p = 0.01. The factors associated with PSS occurrence were age < 50 years, aOR of 1.59 (1.08-2.33), National Institute of Health Stroke Score (NIHSS), 1.29 (1.16-1.42) for each 5 units rise and white cell count 1.07 (1.01-1.13) for each 10^3 mm3 rise. Factors associated with PSS in ischemic were NIHSS score, aOR of 1.17 (1.04-1.31) and infarct volume of 10-30 cm3 aOR of 2.17(1.37-3.45). Among ICH, associated factors were alcohol use 5.91 (2.11-16.55) and lobar bleeds 2.22 (1.03-4.82). CONCLUSION The burden of PSS among this sample of west Africans is substantial and may contribute to poor outcomes of stroke in this region. Further longitudinal studies are required to understand the impact on morbidity and mortality arising from PSS in Africa.
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Affiliation(s)
- Fred S Sarfo
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
| | - Joshua Akinyemi
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria
| | - Albert Akpalu
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | - Kolawole Wahab
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | | | | | - Morenike Komolafe
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | - Reginald Obiako
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | - Lukman Owolabi
- Department of Medicine, Aminu Kano Teaching Hospital, Kano, Nigeria
| | | | | | - Yaw Mensah
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Godwin Ogbole
- Department of Radiology, University of Ibadan, Nigeria
| | - Benedict Calys-Tagoe
- Department of Community Health, University of Ghana Medical School, Accra, Ghana
| | - Philip Adebayo
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | - Lambert Appiah
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Arti Singh
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | | | - Ezinne Uvere
- College of Medicine, University of Ibadan, Nigeria
| | - Tiwari Hemant
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | - Bimbo Fawale
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | | | - Luqman Ogunjimi
- Department of Pharmacology and Therapeutics, Obafemi Awolowo College of Health Sciences, Olabisi Onabanjo University, Remo Campus, Shagamu, Ogun State, Nigeria
| | - Onasanya Akinola
- Department of Pharmacology and Therapeutics, Obafemi Awolowo College of Health Sciences, Olabisi Onabanjo University, Remo Campus, Shagamu, Ogun State, Nigeria
| | | | - Arnette Donna
- College of Public Health, University of Kentucky, USA
| | | | - Rufus Akinyemi
- Federal Medical Centre, Abeokuta, Nigeria; Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Nigeria
| | - Bruce Ovbiagele
- Weill Institute for Neurosciences, School of Medicine, University of California San-Francisco, USA
| | - Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Nigeria; Department of Medicine, University of Ibadan, Nigeria.
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