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Individualized antibiotic therapy in patients with ventilator-associated pneumonia
Gürdal Yilmaz1, Sedat Salyan2, Firdevs Aksoy1
1Department of Infectious Diseases and Clinical Microbiology, Karadeniz Technical University Medical Faculty, Trabzon, Turkey.
Abstract:
The optimal duration of the treatment of ventilator-associated pneumonia (VAP) is still the subject of debate. While 1 week treatment has been reported as possibly sufficient, patients generally receive antibiotic therapy for 10 to 14 days. The purpose of our study was to investigate whether length of treatment in patients with VAP can be reduced with an individualized therapeutic strategy. The study was performed prospectively with patients diagnosed with VAP in our hospital's intensive care units between 1 January and 31 December 2015. Duration of antibiotic therapy was determined with 5 day clinical evaluation according to previously established criteria. Patients were divided into two groups depending on length of treatment, short (7-10 days) and long treatment (>10 days). Nineteen patients received 7 to 10 day antibiotic therapy, and 30 received >10 day antibiotic therapy. Demographic and clinical characteristics, Glasgow Coma Scale score, CPIS and the PaO2/FiO2 ratio at the time of diagnosis of VAP were statistically similar between the two groups (P>0.05). A second VAP attack occurred post-treatment in three patients receiving short-term treatment and in four receiving long-term treatment (P=0.561). The numbers of antibiotic-free days were 15.6±6.2 in the short-term treatment group and 8.3±7.5 in the long-term group (P<0.0001). One of the patients receiving short-term treatment died within 28 days after treatment, and four of the patients receiving long-term treatment (P=0.348) did so. The most commonly observed micro-organisms in both groups were Acinetobacterbaumannii and Pseudomonasaeruginosa. Short-term treatment can be administered in cases with early clinical and laboratory response started on VAP treatment by considering individual characteristics and monitoring fever, CPIS, the PaO2/FiO2 ratio, C-reactive protein and procalcitonin values.
Insights
Shortening antibiotic therapy for ventilator-associated pneumonia (VAP) to 7-10 days is feasible. This individualized approach significantly increases antibiotic-free days without compromising patient outcomes, offering a potential new standard for VAP treatment.
Area of Science:
- Critical Care Medicine
- Infectious Diseases
- Pulmonology
Background:
- The optimal duration for treating ventilator-associated pneumonia (VAP) remains debated, with current practices often exceeding 10-14 days.
- Previous research suggests a 1-week treatment course may be sufficient for VAP.
Purpose of the Study:
- To evaluate the efficacy of an individualized therapeutic strategy for reducing the duration of antibiotic treatment in VAP patients.
Main Methods:
- A prospective study involving VAP patients in intensive care units from January to December 2015.
- Antibiotic treatment duration was individualized based on clinical evaluation, with patients categorized into short (7-10 days) and long (>10 days) treatment groups.
- Demographic, clinical characteristics, Glasgow Coma Scale, CPIS, and PaO2/FiO2 ratios were compared between groups.
Main Results:
- Nineteen patients received short-term (7-10 days) and 30 received long-term (>10 days) antibiotic therapy; groups were similar in baseline characteristics.
- Short-term treatment resulted in significantly more antibiotic-free days (15.6±6.2 vs. 8.3±7.5, P<0.0001).
- Recurrence rates and 28-day mortality were not significantly different between short-term and long-term treatment groups.
Conclusions:
- Individualized, shorter antibiotic treatment durations (7-10 days) are effective for VAP when patients show an early clinical response.
- Monitoring key clinical and laboratory markers (fever, CPIS, PaO2/FiO2, CRP, procalcitonin) is crucial for guiding individualized VAP treatment.
- This strategy can increase antibiotic-free days, potentially reducing antibiotic resistance and healthcare costs.
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