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Nosocomial mycobacterial pseudoinfection in a Georgia hospital

Infection Control : IC
|December 1, 1984
PubMed

Insights

Nosocomial pseudoepidemics, or false infection outbreaks, can occur in hospitals. This study identified a laboratory technician as a likely source of contamination leading to a pseudoepidemic of nontuberculous mycobacteria.

Area of Science:

  • Medical Microbiology
  • Infectious Disease Epidemiology
  • Hospital-Acquired Infections

Background:

  • Nosocomial pseudoepidemics arise from either pseudoinfections or artificial clusters of true infections.
  • Nontuberculous mycobacteria (NTM) were isolated from seven patients at a single hospital between October 1980 and January 1981.
  • Clinical presentations did not consistently align with mycobacterial disease, prompting an investigation into potential pseudoinfections.

Purpose of the Study:

  • To investigate the cause of a suspected nosocomial pseudoepidemic.
  • To identify a potential common source of contamination for NTM isolates.
  • To determine if laboratory procedures contributed to the observed pseudoepidemic.

Main Methods:

  • Retrospective analysis of NTM isolates from patient specimens.
  • Comparison of specimen contamination rates based on laboratory personnel processing.
  • Epidemiological investigation to identify potential sources of contamination.

Main Results:

  • A significant association was found between specimen processing by one specific microbiology laboratory technician and positive NTM results.
  • 27% of specimens processed by the implicated technician were positive, compared to 1% for other technicians.
  • No specific mechanism of contamination was identified, despite the strong association with one technician.

Conclusions:

  • The investigation strongly suggested that specimen contamination linked to a single laboratory technician caused the nosocomial pseudoepidemic.
  • Clinical and laboratory discrepancies should prompt suspicion and investigation of pseudoepidemics.
  • Enhanced laboratory quality control measures are crucial to prevent false infection outbreaks.

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