Division of Thoracic Surgery, S. Croce e Carle Hospital, Cuneo, Italy.
J Thorac Dis. 2010 Mar;2(1):9-15.
Spontaneous pneumothoraces (SP) tend to occur in clusters which have been related to atmospheric pressure variations and thunderstorm insurgence. We examined the influence of standard meteorological parameter variations and concentrations of the major air pollutants on incidence of spontaneous pneumothorax (SP) in a highly developed industrial area (Turin, Italy).
From October 2002 to December 2007, 591 SP patients were prospectively evaluated. For each day, standard weather parameters and concentration of air pollutants were recorded.
The total number of admissions for SP was 591. The number of days with admissions was 363, which represents the 19% of the total number of days in the study period (1918). Eighty-one percent of days with SP admissions were clusterized. Results of statistical analysis showed that the sequence of SP events was not random. There was relationship between SP and daily wind speed (WS) minimum, daily standard deviation of NO(2), NO(2), CO(2) daily maximum and minimum, O3 daily minimum, daily mean CO(2) (p = 0.01), daily NO(2) minimum (p = 0.001). Multiple regression analysis has shown relationship between number of SP admissions and increase of daily mean and minimum NO(2) (p = 0.001), decrease of NO(2) standard deviation (p = 0.01), decrease of daily mean and minimum O(3) (p = 0.01), and of maximum of NO (p = 0.001), increase of daily O(3) standard deviation (p = 0.05). Daily decrement of standard deviation of temperature (p = 0.01) and increment ofWS anomalies and minima (p = 0.01) were also significant.
Meteorological parameters and atmospheric pollutants might explain cluster hospitalization.
自发性气胸(SP)往往呈群集性发生,与大气压变化和雷暴侵袭有关。我们研究了标准气象参数变化和主要空气污染物浓度对高度发达工业区(意大利都灵)自发性气胸(SP)发病率的影响。
从 2002 年 10 月至 2007 年 12 月,前瞻性评估了 591 例 SP 患者。记录了每天的标准气象参数和空气污染物浓度。
SP 总住院人数为 591 例。SP 住院天数为 363 天,占研究期间总天数(1918 天)的 19%。81%的 SP 住院天数呈群集性。统计分析结果表明,SP 事件序列并非随机。SP 与每日风速(WS)最小值、每日二氧化氮(NO2)标准差、NO2、CO2 日最大值和最小值、O3 日最小值、每日平均 CO2(p = 0.01)、每日 NO2 最小值(p = 0.001)有关。多元回归分析显示,SP 住院人数与每日平均和最低 NO2 增加(p = 0.001)、NO2 标准差降低(p = 0.01)、每日平均和最低 O3 降低(p = 0.01)、NO 最大(p = 0.001)、每日 O3 标准差增加(p = 0.05)有关。每日温度标准差下降(p = 0.01)和 WS 异常值和最小值增加(p = 0.01)也有显著意义。
气象参数和大气污染物可能解释了群集性住院。