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Background <p>Effective surveillance of prevalent infections, pathogen distribution, and treatment patterns help inform patient management and enhance outcomes. The Comprehensive Online Database for Antimicrobial Resistance (CODAR) pilot study aimed to provide insights into epidemiology, existing treatment strategies, and outcomes.</p> Methods <p>This surveillance study (February 2023–2024) across 21 hospitals in India, Mexico, Saudi Arabia, Spain, and the United Kingdom (UK) evaluated pathogen distribution, antimicrobial treatments, and survival rates in hospitalised patients using electronic health records and hospital reports.</p> Results <p>Among 8060 eligible patient records, 7434 (92.2%) with complete data were included in this analysis. Urinary tract infections (UTI), predominantly occurring in female patients (59.0%), were the most prevalent across countries (29.0%). Comorbidities such as vascular and metabolic and nutritional disorders were most commonly observed across countries included in this study. Meropenem and amoxicillin-clavulanate were most commonly used antimicrobials in India and the UK, respectively, across most infection types. Patients with skin and skin structure infections had the highest survival rates (94.4%) and shortest hospital stay (mean [standard deviation], 20.6 [33.53] days), whereas those with bloodstream infections (BSI, 81.7%), mixed infections (82.1%), and lower respiratory tract infections (LRTI, 83.3%) had relatively lower survival rates. Low proportion of patients alive (≤55.0%) with both monotherapy and combination therapy were observed with Acinetobacter baumannii (LRTI), Klebsiella pneumoniae (LRTI and BSI), and Escherichia coli (UTI) in India and Staphylococcus aureus (SSSI) and Enterococcus faecium (UTI) in the UK.</p> Conclusion <p>Low survival rates associated with infections caused by specific pathogens highlight challenges in managing these infections, necessitating ongoing surveillance for effective infection control with suitable antimicrobial therapies to enhance patient care.</p>

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Analysis of Infection Types, Pathogens, Antimicrobial Treatment, and Clinical Outcomes Data in Hospitalised Patients: Comprehensive Online Database for Antimicrobial Resistance (CODAR) Retrospective Pilot Study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月21日

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  • Andy Townsend,
  • Naglaa Mohamed,
  • Alona Kuraieva,
  • Kristi Kuper,
  • Alexandra Passarelli,
  • Lili Jiang,
  • Katherine Perez,
  • Russell Outlaw,
  • Vaughan Reed,
  • Neera Hobson,
  • Wendy Wilkinson,
  • Stuart Bond,
  • Jade Lee-Milner,
  • Kuldeep Kumar,
  • Anu Gupta,
  • Ravneet Kaur,
  • Yashesh Paliwal,
  • Rafael Franco-Cendejas,
  • Alexandra Martin-Onraët,
  • Juan Luis Mosqueda-Gómez,
  • Vicente Estrada,
  • Ali Somily,
  • Anthony Wilson,
  • Tim Felton,
  • Mahableshwar Albur

摘要

Background

Effective surveillance of prevalent infections, pathogen distribution, and treatment patterns help inform patient management and enhance outcomes. The Comprehensive Online Database for Antimicrobial Resistance (CODAR) pilot study aimed to provide insights into epidemiology, existing treatment strategies, and outcomes.

Methods

This surveillance study (February 2023–2024) across 21 hospitals in India, Mexico, Saudi Arabia, Spain, and the United Kingdom (UK) evaluated pathogen distribution, antimicrobial treatments, and survival rates in hospitalised patients using electronic health records and hospital reports.

Results

Among 8060 eligible patient records, 7434 (92.2%) with complete data were included in this analysis. Urinary tract infections (UTI), predominantly occurring in female patients (59.0%), were the most prevalent across countries (29.0%). Comorbidities such as vascular and metabolic and nutritional disorders were most commonly observed across countries included in this study. Meropenem and amoxicillin-clavulanate were most commonly used antimicrobials in India and the UK, respectively, across most infection types. Patients with skin and skin structure infections had the highest survival rates (94.4%) and shortest hospital stay (mean [standard deviation], 20.6 [33.53] days), whereas those with bloodstream infections (BSI, 81.7%), mixed infections (82.1%), and lower respiratory tract infections (LRTI, 83.3%) had relatively lower survival rates. Low proportion of patients alive (≤55.0%) with both monotherapy and combination therapy were observed with Acinetobacter baumannii (LRTI), Klebsiella pneumoniae (LRTI and BSI), and Escherichia coli (UTI) in India and Staphylococcus aureus (SSSI) and Enterococcus faecium (UTI) in the UK.

Conclusion

Low survival rates associated with infections caused by specific pathogens highlight challenges in managing these infections, necessitating ongoing surveillance for effective infection control with suitable antimicrobial therapies to enhance patient care.