Multivariate regression reveals linear correlation between ICU Klebsiella pneumoniae resistance and antibiotic use
Abstract
INTRODUCTION: This study investigated the macro-quantitative correlation between Klebsiella pneumoniae resistance rates and concurrent antimicrobial use in the intensive care unit (ICU), to guide treatment for chronic refractory infections caused by this pathogen, by optimizing outcomes for critically ill patients while curbing bacterial resistance spread or transmission.
METHODOLOGY: A retrospective analysis was conducted on the resistance rate of K. pneumoniae and the concurrent use of antimicrobial agents in the ICU. A multiple linear regression model was employed to analyze whether there was an independent linear correlation between the two, and to identify the relevant factors.
RESULTS: 936 K. pneumoniae isolates were identified in the ICU between 2020 and 2024, representing 20.45% (936/4,577) of all bacterial isolates recovered from the ICU. The resistance rates to most antimicrobial agents, except for tigecycline and trimethoprim-sulfamethoxazole, exceeded 65%, indicating a severe resistance situation. Multiple linear regression analysis revealed that the resistance rates of K. pneumoniae to imipenem, piperacillin-tazobactam, and ceftazidime were independently linear correlated only with piperacillin-tazobactam defined daily doses (DDDs), with regression coefficients (β) of 0.221, 0.224, and 0.166, respectively. The resistance rates to ceftriaxone, cefoperazone-sulbactam, and ertapenem were positively correlated with piperacillin-tazobactam DDDs. Resistance to…
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Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.
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