Antibiotic Resistance in the Elderly: Mechanisms, Risk Factors, and Solutions

Nikolaos Theodorakis1,2, Georgios Feretzakis3, Christos Hitas1

  • 1Department of Cardiology, 65+ Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.

Microorganisms
|October 26, 2024
PubMed

Insights

Antibiotic resistance in the elderly is a growing concern. New antibiotics, therapies, diagnostics, vaccines, and machine learning offer hope for combating multidrug-resistant organisms (MDROs) in this vulnerable population.

Area of Science:

  • Infectious Diseases
  • Gerontology
  • Microbiology
  • Pharmacology
  • Biotechnology

Background:

  • Antibiotic resistance is a critical global health threat, disproportionately affecting the elderly.
  • Aging-related factors such as immunosenescence, frailty, and multimorbidity exacerbate the risk and severity of multidrug-resistant organism (MDRO) infections in older adults.
  • MDRO infections in the elderly lead to increased morbidity, mortality, and healthcare expenditures.

Purpose of the Study:

  • To review the mechanisms of antibiotic resistance in key bacterial pathogens relevant to the elderly population.
  • To explore novel strategies for mitigating MDRO infections in aging individuals.
  • To highlight the role of advanced diagnostics, innovative therapies, and machine learning in addressing this challenge.

Main Methods:

  • Comprehensive literature review of mechanisms of antibiotic resistance.
  • Analysis of aging-related factors influencing susceptibility to MDROs.
  • Evaluation of emerging therapeutic and diagnostic technologies.
  • Exploration of machine learning applications in antimicrobial resistance.

Main Results:

  • Aging significantly increases vulnerability to MDROs due to physiological changes.
  • Next-generation antibiotics (e.g., teixobactin, cefiderocol), bacteriophage therapy, and antivirulence treatments show promise.
  • Advanced diagnostics (NAATs, NGS) enable rapid pathogen identification.
  • Vaccine development and machine learning offer personalized prevention and treatment strategies.

Conclusions:

  • A multidisciplinary approach integrating novel diagnostics, therapeutics, and machine learning is essential.
  • Targeted interventions are crucial to combat antibiotic resistance in the aging population.
  • Proactive strategies are needed to reduce the burden of MDROs in elderly healthcare settings.

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