Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study
Summary: 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 str...
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oai:doaj.org-article:8674e3899838411991da9b6927c2cf1d2021-12-02T05:04:37ZPopulation-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study2667-193X10.1016/j.lana.2021.100083https://doaj.org/article/8674e3899838411991da9b6927c2cf1d2022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667193X2100079Xhttps://doaj.org/toc/2667-193XSummary: 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.Maria Lazo-PorrasAntonio Bernabe-OrtizRobert H. GilmanWilliam CheckleyLiam SmeethJ. Jaime MirandaElsevierarticleStrokeIncidencePeruRisk FactorsHypertensionPublic aspects of medicineRA1-1270ENThe Lancet Regional Health. Americas, Vol 5, Iss , Pp 100083- (2022) |
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Stroke Incidence Peru Risk Factors Hypertension Public aspects of medicine RA1-1270 |
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Stroke Incidence Peru Risk Factors Hypertension Public aspects of medicine RA1-1270 Maria Lazo-Porras Antonio Bernabe-Ortiz Robert H. Gilman William Checkley Liam Smeeth J. Jaime Miranda Population-based stroke incidence estimates in Peru: Exploratory results from the CRONICAS cohort study |
description |
Summary: 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. |
format |
article |
author |
Maria Lazo-Porras Antonio Bernabe-Ortiz Robert H. Gilman William Checkley Liam Smeeth J. Jaime Miranda |
author_facet |
Maria Lazo-Porras Antonio Bernabe-Ortiz Robert H. Gilman William Checkley Liam Smeeth J. Jaime Miranda |
author_sort |
Maria Lazo-Porras |
title |
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_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_sort |
population-based stroke incidence estimates in peru: exploratory results from the cronicas cohort study |
publisher |
Elsevier |
publishDate |
2022 |
url |
https://doaj.org/article/8674e3899838411991da9b6927c2cf1d |
work_keys_str_mv |
AT marialazoporras populationbasedstrokeincidenceestimatesinperuexploratoryresultsfromthecronicascohortstudy AT antoniobernabeortiz populationbasedstrokeincidenceestimatesinperuexploratoryresultsfromthecronicascohortstudy AT roberthgilman populationbasedstrokeincidenceestimatesinperuexploratoryresultsfromthecronicascohortstudy AT williamcheckley populationbasedstrokeincidenceestimatesinperuexploratoryresultsfromthecronicascohortstudy AT liamsmeeth populationbasedstrokeincidenceestimatesinperuexploratoryresultsfromthecronicascohortstudy AT jjaimemiranda populationbasedstrokeincidenceestimatesinperuexploratoryresultsfromthecronicascohortstudy |
_version_ |
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