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Clinical predictors of mortality in patients with pseudomonas aeruginosa infection.
Frem, Jim Abi; Doumat, George; Kazma, Jamil; Gharamti, Amal; Kanj, Souha S; Abou Fayad, Antoine G; Matar, Ghassan M; Kanafani, Zeina A.
Affiliation
  • Frem JA; Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.
  • Doumat G; Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.
  • Kazma J; Department of Obstetrics & Gynecology, George Washington University School of Medicine, Washington, District of Columbia, United States of America.
  • Gharamti A; Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.
  • Kanj SS; Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.
  • Abou Fayad AG; Department of Experimental Pathology, Immunology, and Microbiology, American University of Beirut, Beirut, Lebanon.
  • Matar GM; WHO Collaborating Center for Reference and Research on Bacterial Pathogens, American University of Beirut, Beirut, Lebanon.
  • Kanafani ZA; Department of Experimental Pathology, Immunology, and Microbiology, American University of Beirut, Beirut, Lebanon.
PLoS One ; 18(4): e0282276, 2023.
Article in En | MEDLINE | ID: mdl-37115776
ABSTRACT

BACKGROUND:

Infections caused by Pseudomonas aeruginosa are difficult to treat with a significant cost and burden. In Lebanon, P. aeruginosa is one of the most common organisms in ventilator-associated pneumonia (VAP). P. aeruginosa has developed widespread resistance to multiple antimicrobial agents such as fluoroquinolones and carbapenems. We aimed at identifying risk factors associated for P. aeruginosa infections as well as identifying independent risk factors for developing septic shock and in-hospital mortality.

METHODS:

We used a cross-sectional study design where we included patients with documented P. aeruginosa cultures who developed an infection after obtaining written consent. Two multivariable regression models were used to determine independent predictors of septic shock and mortality.

RESULTS:

During the observed period of 30 months 196 patients were recruited. The most common predisposing factor was antibiotic use for more than 48 hours within 30 days (55%). The prevalence of multi-drug resistant (MDR) P. aeruginosa was 10%. The strongest predictors of mortality were steroid use (aOR = 3.4), respiratory failure (aOR = 7.3), identified respiratory cultures (aOR = 6.0), malignancy (aOR = 9.8), septic shock (aOR = 18.6), and hemodialysis (aOR = 30.9).

CONCLUSION:

Understanding resistance patterns and risk factors associated with mortality is crucial to personalize treatment based on risk level and to decrease the emerging threat of antimicrobial resistance.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pseudomonas Infections / Shock, Septic / Pneumonia, Ventilator-Associated Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Lebanon

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pseudomonas Infections / Shock, Septic / Pneumonia, Ventilator-Associated Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Lebanon