Infectious Disease Management through Point-of-Care Personalized Medicine Molecular Diagnostic Technologies

Journal of Personalized Medicine

Luc Bissonnette¹ 

[1]Département de microbiologie-infectiologie et d'immunologie, Faculté de médecine, Université Laval, Centre de recherche du CHUQ, 2705 Laurier blvd., Québec City (Québec), G1V 4G2, Canada

[2] E-Mail:

关键词: infectious diseases;    molecular diagnostics;    point-of-care;    personalized medicine;   

DOI  :  10.3390/jpm2020050

来源: mdpi

【 摘 要 】

Infectious disease management essentially consists in identifying the microbial cause(s) of an infection, initiating if necessary antimicrobial therapy against microbes, and controlling host reactions to infection. In clinical microbiology, the turnaround time of the diagnostic cycle (>24 hours) often leads to unnecessary suffering and deaths; approaches to relieve this burden include rapid diagnostic procedures and more efficient transmission or interpretation of molecular microbiology results. Although rapid nucleic acid-based diagnostic testing has demonstrated that it can impact on the transmission of hospital-acquired infections, we believe that such life-saving procedures should be performed closer to the patient, in dedicated 24/7 laboratories of healthcare institutions, or ideally at point of care. While personalized medicine generally aims at interrogating the genomic information of a patient, drug metabolism polymorphisms, for example, to guide drug choice and dosage, personalized medicine concepts are applicable in infectious diseases for the (rapid) identification of a disease-causing microbe and determination of its antimicrobial resistance profile, to guide an appropriate antimicrobial treatment for the proper management of the patient. The implementation of point-of-care testing for infectious diseases will require acceptance by medical authorities, new technological and communication platforms, as well as reimbursement practices such that time- and life-saving procedures become available to the largest number of patients.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.