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Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study

BACKGROUND: Limited information exists about the incidence of first-ever stroke at the population level, particularly in low- and middle-income countries (LMIC). Longitudinal data from the CRONICAS Cohort Study includes both altitude and urbanization and allows a detailed assessment of stroke incide...

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Autores principales: Lazo-Porras, Maria, Bernabe-Ortiz, Antonio, Gilman, Robert H., Checkley, William, Smeeth, Liam, Miranda, J. Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880839/
https://www.ncbi.nlm.nih.gov/pubmed/35224529
http://dx.doi.org/10.1016/j.lana.2021.100083
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author Lazo-Porras, Maria
Bernabe-Ortiz, Antonio
Gilman, Robert H.
Checkley, William
Smeeth, Liam
Miranda, J. Jaime
author_facet Lazo-Porras, Maria
Bernabe-Ortiz, Antonio
Gilman, Robert H.
Checkley, William
Smeeth, Liam
Miranda, J. Jaime
author_sort Lazo-Porras, Maria
collection PubMed
description BACKGROUND: Limited information exists about the incidence of first-ever stroke at the population level, particularly in low- and middle-income countries (LMIC). Longitudinal data from the CRONICAS Cohort Study includes both altitude and urbanization and allows a detailed assessment of stroke incidence in resource constrained settings. The aim of this study was to estimate the incidence and explore risk factors of first-ever stroke at the population level in Peru. METHODS: Stroke was defined using a standardised approach based on information from cohort participants or family members. This information was adjudicated centrally by trained physicians using common definitions. Time of follow-up was calculated as the difference between date of enrolment and the reported date of the stroke event. Unstandardised and age-standardised, first-ever stroke incidence rate and 95% confidence intervals (95% CI) were calculated. Generalized linear models, assuming Poisson distribution and link log, were utilized to determine potential factors to develop stroke. FINDINGS: 3,601 individuals were originally enrolled in the cohort and 2,471 provided data for the longitudinal analysis. The median time of follow-up was 7.0 (range: 1 - 9) years, accruing a total of 17,308 person-years. During follow-up, there were 25 incident cases of stroke, resulting in an age-standardised incidence of stroke of 98.8 (95% CI: 63.8–154.0) per 100,000 person-years. After adjustment by age and sex, stroke incidence was higher among people with hypertension (incidence risk ratio (IRR) = 5.18; 95% CI: 1.89 – 14.16), but lower among people living at high altitude (IRR = 0.09; 95% CI: 0.01 – 0.63). INTERPRETATION: Our results indicate a high incidence of first-ever strokes in Peruvian general population. These results are consistent with the estimates found in previous LMIC reports. Our study also found a contributing role of hypertension, increasing the risk of having a first-ever stroke. This work further advances the field of stroke epidemiology by identifying high altitude as a factor related to lower incidence of stroke in a longitudinal study. However, this information needs to be considered with cautions because of the study limitations.
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spelling pubmed-88808392022-02-25 Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study Lazo-Porras, Maria Bernabe-Ortiz, Antonio Gilman, Robert H. Checkley, William Smeeth, Liam Miranda, J. Jaime Lancet Reg Health Am Articles BACKGROUND: Limited information exists about the incidence of first-ever stroke at the population level, particularly in low- and middle-income countries (LMIC). Longitudinal data from the CRONICAS Cohort Study includes both altitude and urbanization and allows a detailed assessment of stroke incidence in resource constrained settings. The aim of this study was to estimate the incidence and explore risk factors of first-ever stroke at the population level in Peru. METHODS: Stroke was defined using a standardised approach based on information from cohort participants or family members. This information was adjudicated centrally by trained physicians using common definitions. Time of follow-up was calculated as the difference between date of enrolment and the reported date of the stroke event. Unstandardised and age-standardised, first-ever stroke incidence rate and 95% confidence intervals (95% CI) were calculated. Generalized linear models, assuming Poisson distribution and link log, were utilized to determine potential factors to develop stroke. FINDINGS: 3,601 individuals were originally enrolled in the cohort and 2,471 provided data for the longitudinal analysis. The median time of follow-up was 7.0 (range: 1 - 9) years, accruing a total of 17,308 person-years. During follow-up, there were 25 incident cases of stroke, resulting in an age-standardised incidence of stroke of 98.8 (95% CI: 63.8–154.0) per 100,000 person-years. After adjustment by age and sex, stroke incidence was higher among people with hypertension (incidence risk ratio (IRR) = 5.18; 95% CI: 1.89 – 14.16), but lower among people living at high altitude (IRR = 0.09; 95% CI: 0.01 – 0.63). INTERPRETATION: Our results indicate a high incidence of first-ever strokes in Peruvian general population. These results are consistent with the estimates found in previous LMIC reports. Our study also found a contributing role of hypertension, increasing the risk of having a first-ever stroke. This work further advances the field of stroke epidemiology by identifying high altitude as a factor related to lower incidence of stroke in a longitudinal study. However, this information needs to be considered with cautions because of the study limitations. Elsevier 2021-10-30 /pmc/articles/PMC8880839/ /pubmed/35224529 http://dx.doi.org/10.1016/j.lana.2021.100083 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Lazo-Porras, Maria
Bernabe-Ortiz, Antonio
Gilman, Robert H.
Checkley, William
Smeeth, Liam
Miranda, J. Jaime
Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study
title Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study
title_full Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study
title_fullStr Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study
title_full_unstemmed Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study
title_short Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study
title_sort population-based stroke incidence estimates in peru: exploratory results from the cronicas cohort study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880839/
https://www.ncbi.nlm.nih.gov/pubmed/35224529
http://dx.doi.org/10.1016/j.lana.2021.100083
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