López-Bueno J A, Díaz J, Padrón-Monedero A, Martín M A Navas, Linares C
Climate Change, Health and Urban Environment Reference Unit, National School of Public Health, Carlos III Institute of Health, Madrid, Spain.
Climate Change, Health and Urban Environment Reference Unit, National School of Public Health, Carlos III Institute of Health, Madrid, Spain.
Sci Total Environ. 2023 Dec 10;903:166646. doi: 10.1016/j.scitotenv.2023.166646. Epub 2023 Aug 29.
While some studies report a possible association between heat waves and kidney disease and kidney-related conditions, there still is no consistent scientific consensus on the matter or on the role played by other variables, such as air pollution and relative humidity. Ecological retrospective time series study 01-01-2013 to 31-12-2018). Dependent variables: daily emergency hospitalisations due to kidney disease (KD), acute kidney injury (AKI), lithiasis (L), dysnatraemia (DY) and hypovolaemia (HPV). Independent variables: maximum and minimum daily temperature (Tmax, Tmin, °C), and daily relative humidity (RH, %). Other variables were also calculated, such as the daily temperature for risk of kidney disease (Theat, °C) and low daily hazardous relative humidity (HRH%). As variables of air pollution, we used the daily mean concentrations of PM, PM, NO and O in μg/m3. Based on these, we then calculated their daily excesses over World Health Organisation (WHO) guideline levels (PM, PM, NO and O respectively). Poisson family generalised linear models (GLMs) (link = log) were used to calculate relative risks (RRs), and attributable risks and attributable admissions. In the models, we controlled for the covariates included: seasonalities, trend, autoregressive component, day of the week, month and year. A statistically significant association was found between Theat and all the dependent variables analysed. The greatest AKI disease burden was attributable to Theat (2.2 % (1.7, 2.6) of attributable hospital admissions), followed by NO (1.7 % (0.9, 3.4)) and HRH (0.8 (0.6, 1.1)). In the case of hypovolaemia and dysnatraemia, the greatest disease burden again corresponded to Theat, with 6.9 % (6.2, 7.6) and 5.7 (4.8, 6.6) of attributable hospital admissions respectively. Episodes of extreme heat exacerbate daily emergency hospital admissions due to kidney disease and kidney-related conditions; and attributable risks are likewise seen for low relative humidity and high ozone levels.
虽然一些研究报告了热浪与肾脏疾病及肾脏相关病症之间可能存在关联,但在这个问题上,以及在空气污染和相对湿度等其他变量所起的作用方面,仍未达成一致的科学共识。生态回顾性时间序列研究(2013年1月1日至2018年12月31日)。因变量:因肾脏疾病(KD)、急性肾损伤(AKI)、结石(L)、血钠异常(DY)和血容量过低(HPV)导致的每日急诊住院人数。自变量:每日最高和最低气温(Tmax、Tmin,摄氏度),以及每日相对湿度(RH,%)。还计算了其他变量,如肾脏疾病风险的每日气温(Theat,摄氏度)和每日低危险相对湿度(HRH%)。作为空气污染变量,我们使用了每立方米微克数表示的PM、PM、NO和O的每日平均浓度。基于这些数据,我们随后计算了它们相对于世界卫生组织(WHO)指导水平(分别为PM、PM、NO和O)的每日超标量。使用泊松族广义线性模型(GLMs)(链接=对数)来计算相对风险(RRs)、归因风险和归因入院人数。在模型中,我们对包括季节性、趋势、自回归成分、星期几、月份和年份在内的协变量进行了控制。在Theat与所有分析的因变量之间发现了具有统计学意义的关联。最大的急性肾损伤疾病负担归因于Theat(归因住院人数的2.2%(1.7,2.6)),其次是NO(1.7%(0.9,3.4))和HRH(0.8(0.6,1.1))。在血容量过低和血钠异常的情况下,最大的疾病负担同样对应于Theat,分别占归因住院人数的6.9%(6.2,7.6)和5.7(4.8,6.6)。极端高温事件会加剧因肾脏疾病和肾脏相关病症导致的每日急诊住院人数;低相对湿度和高臭氧水平也存在归因风险。