Measuring the impact of multidrug resistance in nosocomial infection

Area of Science:

• Infectious Diseases
• Clinical Epidemiology
• Medical Microbiology

Background:

• Nosocomial infections pose a significant threat, with multidrug resistance (MDR) complicating patient outcomes.
• Accurate measurement of MDR's impact is hindered by various confounding factors.
• Understanding these confounders is vital for effective infection control and treatment strategies.

Purpose of the Study:

• To review potential confounders affecting the measurement of multidrug resistance's impact in nosocomial infections.
• To discuss methodological approaches for addressing confounding in this context.
• To highlight current findings on how MDR influences patient outcomes in hospital-acquired infections.

Main Methods:

• Literature review of studies examining multidrug resistance in nosocomial infections.
• Discussion of statistical techniques for confounding adjustment, including multivariable regression and matched cohort studies.
• Synthesis of findings from recent research on MDR and patient outcomes.

Main Results:

• Comparisons of outcomes between MDR and susceptible infections are confounded by differences in disease severity, exposure duration, pathogen type, infection type, and empirical therapy.
• Multivariable regression and matched cohort studies can mitigate confounding effects.
• Recent literature on MDR's impact (e.g., MRSA, VRE, ESBLs) shows conflicting results, highly dependent on confounder adjustment.

Conclusions:

• The impact of multidrug resistance on nosocomial infection outcomes is variable.
• Conclusions are premature and potentially false if confounding variables are not accurately accounted for.
• Study population, infection type, pathogen, and therapy appropriateness significantly influence observed MDR effects.