2022
DOI: 10.1016/j.envres.2021.112229
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Can weather help explain 'why now?': The potential role of hourly temperature as a stroke trigger

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Cited by 10 publications
(11 citation statements)
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“…17 Interestingly, although COVID-19 is an independent predictor of poor outcomes in patients with stroke due to large vessel occlusion, 18 we found no differences in outcomes during the COVID-19 pandemic period, probably because not all patients of this period were infected by the virus. By contrast, other studies have found a higher incidence of ischemic stroke during higher hourly temperatures, 19 in summer with higher solar radiation, 20 or in spring and early fall. 21 Chen et al 15 studied 112 patients with ischemic stroke.…”
Section: Weather and Outcomesmentioning
confidence: 60%
“…17 Interestingly, although COVID-19 is an independent predictor of poor outcomes in patients with stroke due to large vessel occlusion, 18 we found no differences in outcomes during the COVID-19 pandemic period, probably because not all patients of this period were infected by the virus. By contrast, other studies have found a higher incidence of ischemic stroke during higher hourly temperatures, 19 in summer with higher solar radiation, 20 or in spring and early fall. 21 Chen et al 15 studied 112 patients with ischemic stroke.…”
Section: Weather and Outcomesmentioning
confidence: 60%
“…The smaller sample size and single-center design of the study by Vodonos et al might account for the observed differences from the present findings. Similar exposure time windows were identified in another multicenter study conducted in the US, which included 578 181 patients with ischemic stroke . The study by Rowland et al found that higher temperature within a 7-hour period after exposure was associated with an increase in stroke onset risk, with a 10 °C temperature increase over 7 hours corresponding to a 5.1% (95% CI, 3.8%-6.4%) increase in stroke onset risk.…”
Section: Discussionmentioning
confidence: 99%
“…5,13,14 To date, only 1 multicenter study has investigated the associations between ambient heat and AIS at an hourly level. 15 However, that study applied the delay time prior to hospitalization instead of the specific AIS onset time for exposure matching, resulting in inevitable exposure misclassification. Furthermore, although prior evidence suggested that heat-related AIS is more likely to occur at the subdaily level, 14,16,17 few studies have directly evaluated the sensitive time windows at the hourly level, which is helpful for designing heat-related warning systems.…”
Section: Introductionmentioning
confidence: 99%
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“…DLNMs can capture complex exposure-lag-response relationships by simultaneously adjusting for exposure at each lag, via non-linear terms such as natural splines. This type of model has been used in other studies on the lagged effects of air pollution and temperature on health outcomes 31 36 . In a DLNM, lagged exposure is represented as a crossbasis term, a combined basis matrix for the exposure dimension and lag dimension.…”
Section: Methodsmentioning
confidence: 99%