Antimicrobial Resistance in Ventilator-Associated Pneumonia: Predictive Microbiology and Evidence-Based Therapy

被引:30
作者
Alnimr, Amani [1 ]
机构
[1] King Fahad Hosp Univ, Imam Abdulrahman Bin Faisal Univ, Coll Med, Dept Microbiol, Dammam, Saudi Arabia
关键词
Early effective therapy; Window; Drug-resistant organism; Novel diagnostics; BLOOD-STREAM INFECTIONS; INTENSIVE-CARE UNITS; GRAM-NEGATIVE BACTERIA; ANTIBIOTIC-RESISTANCE; RISK-FACTORS; PSEUDOMONAS-AERUGINOSA; ATTRIBUTABLE MORTALITY; CARBAPENEM RESISTANCE; NOSOCOMIAL INFECTION; PROGNOSTIC-FACTORS;
D O I
10.1007/s40121-023-00820-2
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Ventilator-associated pneumonia (VAP) is a serious intensive care unit (ICU)-related infection in mechanically ventilated patients that is frequent, as more than half of antibiotics prescriptions in ICU are due to VAP. Various risk factors and diagnostic criteria for VAP have been referred to in different settings. The estimated attributable mortality of VAP can go up to 50%, which is higher in cases of antimicrobial-resistant VAP. When the diagnosis of pneumonia in a mechanically ventilated patient is made, initiation of effective antimicrobial therapy must be prompt. Microbiological diagnosis of VAP is required to optimize timely therapy since effective early treatment is fundamental for better outcomes, with controversy continuing regarding optimal sampling and testing. Understanding the role of antimicrobial resistance in the context of VAP is crucial in the era of continuously evolving antimicrobial-resistant clones that represent an urgent threat to global health. This review is focused on the risk factors for antimicrobial resistance in adult VAP and its novel microbiological tools. It aims to summarize the current evidence-based knowledge about the mechanisms of resistance in VAP caused by multidrug-resistant bacteria in clinical settings with focus on Gram-negative pathogens. It highlights the evidence-based antimicrobial management and prevention of drug-resistant VAP. It also addresses emerging concepts related to predictive microbiology in VAP and sheds lights on VAP in the context of coronavirus disease 2019 (COVID-19).
引用
收藏
页码:1527 / 1552
页数:26
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