Abstract：
UNASSIGNED: Stroke risks associated with rapid climate change remain controversial due to a paucity of evidence.
UNASSIGNED: To examine the risk of subarachnoid hemorrhage (SAH), intracranial hemorrhage (ICH), and ischemic stroke (IS) associated with meteorological parameters.
UNASSIGNED: In this time-stratified case-crossover study, adult patients hospitalized for their first stroke between 2011 and 2020 from the insurance claims data in Taiwan were identified. The hospitalization day was designated as the case period, and three or four control periods were matched by the same day of the week and month of each case period. Daily mean and 24-h variations in ambient temperature, relative humidity, air pressure, and apparent temperature were measured. Conditional logistic regression models were applied to assess the risk of stroke associated with exposure to weather variables, using the third quintile as a reference, controlling for air pollutant levels.
UNASSIGNED: There were 7161 patients with SAH, 40,426 patients with ICH, and 107,550 patients with IS. There was an inverse linear relationship between mean daily temperature and apparent temperature with ICH. Elevated mean daily atmospheric pressure was associated with an increased risk of ICH. A greater decrease in apparent temperature over a 24-h period was associated with increased risk of ICH but decreased risk of IS (odds ratio (95% confidence interval) for the first vs. third quintile of changes in apparent temperature, 1.141 (1.053-1.237) and 0.946 (0.899-0.996), respectively).
UNASSIGNED: There were considerable differences in short-term associations between meteorological parameters and three main pathological types of strokes.
UNASSIGNED: The authors have no permission to share the data.
UNASSIGNED: To examine the risk of subarachnoid hemorrhage (SAH), intracranial hemorrhage (ICH), and ischemic stroke (IS) associated with meteorological parameters.
UNASSIGNED: In this time-stratified case-crossover study, adult patients hospitalized for their first stroke between 2011 and 2020 from the insurance claims data in Taiwan were identified. The hospitalization day was designated as the case period, and three or four control periods were matched by the same day of the week and month of each case period. Daily mean and 24-h variations in ambient temperature, relative humidity, air pressure, and apparent temperature were measured. Conditional logistic regression models were applied to assess the risk of stroke associated with exposure to weather variables, using the third quintile as a reference, controlling for air pollutant levels.
UNASSIGNED: There were 7161 patients with SAH, 40,426 patients with ICH, and 107,550 patients with IS. There was an inverse linear relationship between mean daily temperature and apparent temperature with ICH. Elevated mean daily atmospheric pressure was associated with an increased risk of ICH. A greater decrease in apparent temperature over a 24-h period was associated with increased risk of ICH but decreased risk of IS (odds ratio (95% confidence interval) for the first vs. third quintile of changes in apparent temperature, 1.141 (1.053-1.237) and 0.946 (0.899-0.996), respectively).
UNASSIGNED: There were considerable differences in short-term associations between meteorological parameters and three main pathological types of strokes.
UNASSIGNED: The authors have no permission to share the data.
摘要：
背景：由于缺乏证据，与快速气候变化相关的卒中风险仍然存在争议。
目的：为了检查蛛网膜下腔出血（SAH）的风险，颅内出血（ICH），和缺血性卒中（IS）与气象参数相关。
方法：在这个时间分层的病例交叉研究中，从台湾的保险索赔数据中确定了2011年至2020年间首次卒中住院的成年患者.住院日被指定为病例期，三个或四个对照期与每个病例期的一周和月份的同一天相匹配。环境温度的每日平均和24小时变化，相对湿度,空气压力,和表观温度进行测量。应用条件逻辑回归模型来评估与暴露于天气变量相关的中风风险。使用第三个五分之一作为参考，控制空气污染物水平。
结果：有7161例SAH患者，40,426名ICH患者，和107,550名IS患者。平均日温度和表观温度与ICH呈反线性关系。平均每日大气压升高与ICH风险增加相关。在24小时内，表观温度的更大下降与ICH的风险增加有关，但与IS的风险降低有关（第一次与第一次比较的比值比[95％置信区间]表观温度变化的第三个五分之一，1.141[1.053-1.237]和0.946[0.899-0.996]，分别)。
结论：气象参数与中风的三种主要病理类型之间的短期关联存在相当大的差异。数据访问声明：作者无权共享数据。
目的：为了检查蛛网膜下腔出血（SAH）的风险，颅内出血（ICH），和缺血性卒中（IS）与气象参数相关。
方法：在这个时间分层的病例交叉研究中，从台湾的保险索赔数据中确定了2011年至2020年间首次卒中住院的成年患者.住院日被指定为病例期，三个或四个对照期与每个病例期的一周和月份的同一天相匹配。环境温度的每日平均和24小时变化，相对湿度,空气压力,和表观温度进行测量。应用条件逻辑回归模型来评估与暴露于天气变量相关的中风风险。使用第三个五分之一作为参考，控制空气污染物水平。
结果：有7161例SAH患者，40,426名ICH患者，和107,550名IS患者。平均日温度和表观温度与ICH呈反线性关系。平均每日大气压升高与ICH风险增加相关。在24小时内，表观温度的更大下降与ICH的风险增加有关，但与IS的风险降低有关（第一次与第一次比较的比值比[95％置信区间]表观温度变化的第三个五分之一，1.141[1.053-1.237]和0.946[0.899-0.996]，分别)。
结论：气象参数与中风的三种主要病理类型之间的短期关联存在相当大的差异。数据访问声明：作者无权共享数据。
