title: [Analysis of laboratory tests results for Salmonella infections performed since 2008 to 2014 in Poland].
abstract: BACKGROUND
  Next to official surveillance system in Poland, established by Public Statistic Act in 1995, other surveillance data collection system exists - historically connected with Ministry of Health Decree, which is not in force from 1995 y. Data in this system comes from National Sanitary Inspection laboratories and contains results of clinical samples examinations for Salmonella and Shigella presence.
  
  
  METHODS
  Analysed data were collected since 2007 to 2014 y. Database has been created, which contains data - results of Salmonella / Shigella (SS) detection in faecal samples, rectal swabs, urine samples, blood samples collected from patients, people exposed in outbreaks, Salmonella carriers, food workers and other people.
  
  
  RESULTS
  The number of performed tests for SS in 2014 is 447033. Systematic decrease of this number has been observed since 2008. Most common material tested for SS was stool samples, then rectal swabs. Number of Salmonella identification going down each year during analysed time. The highest decrease in group of sick people has been observed. Most common serotype in 2008-2014 years was S. Enteritidis, then S. Typhimurium. Only in 2010 y. second most common serotype was S. Mbandaka. In 2014 y. highest number of S. enterica 1,4,[5],12:i:- has been observed (37 cases).
  
  
  CONCLUSIONS
  The reason of decreased number of performed SS test and positive Salmonella results is unclear. One of theories is decreased level of quality of SS diagnostic. From the other hand, decreased number of false-positive Salmonella identification outside of National Sanitary Inspection laboratories is observed. This demonstrates improving quality of Salmo nella diagnostic in laboratories performing such tests. High disproportion between number of Salmonella cases in described database and official notification system is observed. It comes from, that both systems collect different data. Both systems could exist independently and could supplement each-other.
authors.forename: Grzegorz
authors.initials: G
authors.lastname: Madajczak
mesh_terms: D015373:Bacterial Typing Techniques / Q000706:statistics & numerical data*; D001769:Blood / Q000382:microbiology; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D005243:Feces / Q000382:microbiology; D005260:Female; D006801:Humans; D008297:Male; D011044:Poland / Q000453:epidemiology; D012475:Salmonella / Q000145:classification* / Q000302:isolation & purification; D012480:Salmonella Infections / Q000175:diagnosis / Q000453:epidemiology* / Q000382:microbiology*; D012477:Salmonella enteritidis / Q000302:isolation & purification; D012486:Salmonella typhimurium / Q000302:isolation & purification; D012703:Serotyping; D013045:Species Specificity; D014556:Urine / Q000382:microbiology