Impact of temperature changes between neighboring days on ischemic stroke
Objective To assess the effect of temperature changes between neighboring days on the risk of ischemic stroke outpatient visits.Methods A distributional lag nonlinear model combined with a Poisson generalised linear regression model was used to analyse the relationship between temperature changes between neighboring days and ischemic stroke outpatient visits at a large tertiary hospital in Hefei city,with corrections for relevant environmental factors and stratified by different gender and age groups.Results In this study,there were 32 560 ischemic stroke patients,with an average of 17.8 ischemic stroke visits per day.Exposure relationship curves show significant association between TCN and ischemic stroke outpatient visits.The relative risk over 0-7days Reached 1.796(95％CI:1.150-2.805)for extreme negative temperature changes between neighboring days(5th percentile),whereas the relative risk of extreme positive temperature changes between neighboring days(95th percentile)was 0.686(95％CI:0.499-0.945)and maximized at a cumulative lag of 6 days.Subgroup studies revealed that men and ischemic stroke patients over the age of 65 were more vulnerable to negative temperature changes between neighboring days.Conclusions Temperature changes between neighboring days and is-chemic stroke are nonlinearly related in Hefei;with negative temperature changes between neighboring days increases the likelihood for ischemic stroke patients,watch for ischemic stroke when temperature drops suddenly;and positive temperature changes between neighboring days decreases the risk of ischemic stroke patients,who require protection from heat and other health concerns induced by rising temperature.
Ischemic strokeTemperature changes between neighboring daysDistributed lag nonlinear modelTime-series study
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NSTL
万方数据
