TY - JOUR T1 - Neural networks analysis of spontaneous pneumothorax development JF - European Respiratory Journal JO - Eur Respir J VL - 40 IS - Suppl 56 SP - 183 AU - Luca Bertolaccini AU - Lucia Boschetto AU - Claudio Cassardo AU - Andrea Viti AU - Alberto Terzi Y1 - 2012/09/01 UR - http://erj.ersjournals.com/content/40/Suppl_56/183.abstract N2 - Spontaneous pneumothoraces (SP) tend to cluster. Correlations between SP and atmospheric variations were reported by previous studies. In our work SP correlation with meteo variables and air pollutants in Cuneo County was analyzed.2004-2010, 451 SP patients were prospectively evaluated. For each day of analyzed period, meteo parameters and pollutants were recorded. Statistics on SP evaluated distribution characteristics, spectral autocorrelation and spectral analysis; multivariate regression techniques were performed using artificial neural networks.Analysis of seasonal distributions showed no significant correlation. Spectral analysis showed that SP events were not random. Correlations between meteo-environmental variables were analyzed through linear tests.View this table:Linear tests on meteo variables and pollutantsNeural networks showed some variables may predict SP insurgence.View this table:Multivariate regressionSP occurrence significantly increases in warm windy days with high atmospheric pressure and high NO2 concentration. These data don't affect SP treatment; nevertheless, they add information on SP tendency to cluster. ER -