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Critical insights from recent outbreaks of Mycoplasma pneumoniae: decoding the challenges and effective interventions strategies

Critical insights from recent outbreaks of Mycoplasma pneumoniae: decoding the challenges and effective interventions strategies
Critical insights from recent outbreaks of Mycoplasma pneumoniae: decoding the challenges and effective interventions strategies

OBJECTIVES: Mycoplasma pneumoniae (M. pneumoniae) continues to pose a significant disease burden on global public health as a respiratory pathogen. The antimicrobial resistance among M. pneumoniae strains has complicated the outbreak control efforts, emphasizing the need for robust surveillance systems and effective antimicrobial stewardship programs.

DESIGN: This review comprehensively investigates studies stemming from previous outbreaks to emphasize the multifaceted nature of M. pneumoniae infections, encompassing epidemiological dynamics, diagnostic innovations, antibiotic resistance, and therapeutic challenges.

RESULTS: We explored the spectrum of clinical manifestations associated with M. pneumoniae infections, emphasizing the continuum of disease severity and the challenges in gradating it accurately. Artificial intelligence and machine learning have emerged as promising tools in M. pneumoniae diagnostics, offering enhanced accuracy and efficiency in identifying infections. However, their integration into clinical practice presents hurdles that need to be addressed. Further, we elucidate the pivotal role of pharmacological interventions in controlling and treating M. pneumoniae infections as the efficacy of existing therapies is jeopardized by evolving resistance mechanisms.

CONCLUSION: Lessons learned from previous outbreaks underscore the importance of adaptive treatment strategies and proactive management approaches. Addressing these complexities demands a holistic approach integrating advanced technologies, genomic surveillance, and adaptive clinical strategies to effectively combat this pathogen.

Humans, Mycoplasma pneumoniae/drug effects, Disease Outbreaks, Pneumonia, Mycoplasma/epidemiology, Anti-Bacterial Agents/therapeutic use, Drug Resistance, Bacterial, Artificial Intelligence, Antimicrobial Stewardship
1201-9712
Kant, Ravi
7701bda0-8d8b-4c7b-b988-75f6da612e2a
Kumar, Naveen
3d05f0ac-36b5-464f-b89d-a1f722c6ceb2
Malik, Yashpal Singh
a8123b36-b5ab-4d3a-a3ca-1bbef3f77c2f
Everett, Dean
526edf0b-c78b-4a2f-8005-38d48196c2bb
Saluja, Daman
c632b624-e87e-4d82-a045-5e3af0dd8439
Launey, Thomas
e87f8eca-f0e3-42fe-a384-1860651d721f
Kaushik, Rahul
adec7cab-74bd-4ff9-ad9d-3757512efc23
Kant, Ravi
7701bda0-8d8b-4c7b-b988-75f6da612e2a
Kumar, Naveen
3d05f0ac-36b5-464f-b89d-a1f722c6ceb2
Malik, Yashpal Singh
a8123b36-b5ab-4d3a-a3ca-1bbef3f77c2f
Everett, Dean
526edf0b-c78b-4a2f-8005-38d48196c2bb
Saluja, Daman
c632b624-e87e-4d82-a045-5e3af0dd8439
Launey, Thomas
e87f8eca-f0e3-42fe-a384-1860651d721f
Kaushik, Rahul
adec7cab-74bd-4ff9-ad9d-3757512efc23

Kant, Ravi, Kumar, Naveen, Malik, Yashpal Singh, Everett, Dean, Saluja, Daman, Launey, Thomas and Kaushik, Rahul (2024) Critical insights from recent outbreaks of Mycoplasma pneumoniae: decoding the challenges and effective interventions strategies. International Journal of Infectious Diseases, 147, [107200]. (doi:10.1016/j.ijid.2024.107200).

Record type: Review

Abstract

OBJECTIVES: Mycoplasma pneumoniae (M. pneumoniae) continues to pose a significant disease burden on global public health as a respiratory pathogen. The antimicrobial resistance among M. pneumoniae strains has complicated the outbreak control efforts, emphasizing the need for robust surveillance systems and effective antimicrobial stewardship programs.

DESIGN: This review comprehensively investigates studies stemming from previous outbreaks to emphasize the multifaceted nature of M. pneumoniae infections, encompassing epidemiological dynamics, diagnostic innovations, antibiotic resistance, and therapeutic challenges.

RESULTS: We explored the spectrum of clinical manifestations associated with M. pneumoniae infections, emphasizing the continuum of disease severity and the challenges in gradating it accurately. Artificial intelligence and machine learning have emerged as promising tools in M. pneumoniae diagnostics, offering enhanced accuracy and efficiency in identifying infections. However, their integration into clinical practice presents hurdles that need to be addressed. Further, we elucidate the pivotal role of pharmacological interventions in controlling and treating M. pneumoniae infections as the efficacy of existing therapies is jeopardized by evolving resistance mechanisms.

CONCLUSION: Lessons learned from previous outbreaks underscore the importance of adaptive treatment strategies and proactive management approaches. Addressing these complexities demands a holistic approach integrating advanced technologies, genomic surveillance, and adaptive clinical strategies to effectively combat this pathogen.

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More information

Accepted/In Press date: 2 August 2024
e-pub ahead of print date: 5 August 2024
Published date: 1 October 2024
Additional Information: Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Keywords: Humans, Mycoplasma pneumoniae/drug effects, Disease Outbreaks, Pneumonia, Mycoplasma/epidemiology, Anti-Bacterial Agents/therapeutic use, Drug Resistance, Bacterial, Artificial Intelligence, Antimicrobial Stewardship

Identifiers

Local EPrints ID: 501551
URI: http://eprints.soton.ac.uk/id/eprint/501551
ISSN: 1201-9712
PURE UUID: dd26d2c8-76e7-4975-a085-0ee889b81f75
ORCID for Ravi Kant: ORCID iD orcid.org/0009-0007-6348-4638

Catalogue record

Date deposited: 03 Jun 2025 17:00
Last modified: 04 Jun 2025 02:13

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Contributors

Author: Ravi Kant ORCID iD
Author: Naveen Kumar
Author: Yashpal Singh Malik
Author: Dean Everett
Author: Daman Saluja
Author: Thomas Launey
Author: Rahul Kaushik

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