title: [EpiAir health data].
abstract: BACKGROUND
  the EpiAir (Air pollution and health: epidemiological surveillance and prevention) Project has been conducted in 10 Italian cities. In this paper we describe the health data used to detect adverse health effects associated with air pollution exposure (mortality and hospital discharge databases) and to identify comorbidities (based on hospital discharge databases) as susceptibility factors to the effects of air pollution.
  
  
  METHODS
  for each city, we performed descriptive analyses of mortality data included in the study.We considered subjects aged 35+ years old, resident and deceased within the cities in the study period (2001-2005) for non-accidental causes. For each deceased subject, information were collected on hospital discharge diagnoses in the previous 2-year period. Urgent hospital admissions of subjects resident in nine cities and hospitalized within the city for specific diseases (including cardiac, cerebrovascular and respiratory conditions) were also included as endpoints. Annual mean raw death and hospitalization rates were calculated for each city.
  
  
  RESULTS
  276,205 deaths and 701,902 urgent hospital admissions have been included in the study. Annual mean crude death rates for non accidental causes in the population aged +35 yrs resident and deceased in the municipalities ranged from 12.1 and 15.7 per 1,000 residents.The percentage of deceased subjects with at least one of the selected comorbidities ranged from 32 to 48%. Annual mean crude urgent hospitalization rates in the resident population ranged from 5.5 to 11.7 per 1,000 residents for cardiac diseases; 1.7 to 3.7 per 1,000 residents for cerebrovascular diseases and 3.3 to 10.7 per 1,000 residents for respiratory diseases. Several factors can explain the between-cities differences observed, especially in the hospitalization rates, including availability and variability in the health care services utilization.
  
  
  CONCLUSIONS
  an epidemiological surveillance system based on health databases has to take into account the observed differences.
authors.affiliation: Azienda ospedaliero-universitaria S. Giovanni Battist e CPO Piemonte, Torino. claudia.galassi@cpo.it
authors.forename: Claudia
authors.initials: C
authors.lastname: Galassi
authors.forename: Annunziata
authors.initials: A
authors.lastname: Faustini
authors.forename: Paola
authors.initials: P
authors.lastname: Colais
authors.forename: Massimo
authors.initials: M
authors.lastname: Stafoggia
authors.forename: Giovanna
authors.initials: G
authors.lastname: Berti
authors.forename: Annibale
authors.initials: A
authors.lastname: Biggeri
authors.forename: Luigi
authors.initials: L
authors.lastname: Bisanti
authors.forename: Achille
authors.initials: A
authors.lastname: Cernigliaro
authors.forename: Monica
authors.initials: M
authors.lastname: Chiusolo
authors.forename: Sandra
authors.initials: S
authors.lastname: Mallone
authors.forename: Paolo
authors.initials: P
authors.lastname: Pandolfi
authors.forename: Maria
authors.initials: M
authors.lastname: Serinelli
authors.forename: Roberta
authors.initials: R
authors.lastname: Tessari
authors.forename: Maria Angela
authors.initials: MA
authors.lastname: Vigotti
authors.forename: Francesco
authors.initials: F
authors.lastname: Forastiere
mesh_terms: D000397:Air Pollution / Q000009:adverse effects* / Q000032:analysis*; D004781:Environmental Exposure / Q000009:adverse effects*; D004813:Epidemiology; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D007558:Italy; D011159:Population Surveillance; D014504:Urban Health