Association between high vancomycin minimum inhibitory concentration and clinical outcomes in patients with methicillin-resistant Staphylococcus aureus bacteraemia - A retrospective cohort study.
Khawaja M TalhaHassan IshaqRommel RameshWajeeha TariqVerda ArshadLarry M BaddourM Rizwan SohailRaj PalrajPublished in: European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology (2021)
The purpose of this study is to determine the role of high (≥ 1.5 mg/L) vancomycin minimum inhibitory concentration (VMIC) in predicting clinical outcomes in patients with methicillin-resistant Staphylococcus aureus bacteraemia (MRSAB). A retrospective study was conducted at Mayo Clinic, Minnesota. Patients ≥ 18 years with a 3-month follow-up were included. Outcomes were defined as 30-day all-cause in-hospital mortality, median duration of bacteraemia, metastatic infectious complications, and relapse of MRSAB. A total of 475 patients with MRSAB were identified, and 93 (19.6%) of them had high VMIC isolates. Sixty-four percent of patients were male with a mean age of 69.0 years. Active solid organ malignancy and skin and soft tissue infection as source of MRSAB were associated with high VMIC, while septic arthritis as a complication was significantly associated with low VMIC on multivariate analysis. Eighty-one (17.1%) patients died within 30 days of hospitalization, with no significant difference in mortality rates between the two groups. In-hospital mortality, median duration of bacteraemia, and metastatic infectious complications were not significantly associated with high VMIC MRSAB.
Keyphrases
- methicillin resistant staphylococcus aureus
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- squamous cell carcinoma
- small cell lung cancer
- staphylococcus aureus
- primary care
- prognostic factors
- risk factors
- coronary artery disease
- type diabetes
- metabolic syndrome
- insulin resistance
- weight loss
- wound healing
- data analysis
- free survival