Infective endocarditis by Klebsiella species: a systematic review.
Petros IoannouEugenia MiliaraStella BaliouDiamantis P KofteridisPublished in: Journal of chemotherapy (Florence, Italy) (2021)
This study aimed to systematically analyze all cases of infective endocarditis (IE) by Klebsiella species in the literature. A systematic review of PubMed, Scopus and Cochrane library (through 27th January 2021) for studies providing epidemiological, clinical, microbiological as well as treatment data and outcomes of IE by Klebsiella species was performed. In this review, a total of 66 studies were included, providing data for 67 patients. A prosthetic valve was present in 16.4%, while the most common causative pathogen was K. pneumoniae followed by K. oxytoca. The aortic valve was the most commonly infected intracardiac site, followed by the mitral valve. The diagnosis was based on transthoracic echocardiography in 46.2%, while the diagnosis was set at autopsy in 9.2% of included patients. Blood cultures were positive in 93.8%. Fever and sepsis were the most frequent clinical presentations, followed by embolic phenomena, paravalvular abscess, and heart failure. Cephalosporins, aminoglycosides, and carbapenems were the most frequently used antimicrobials. Surgical treatment along with antimicrobials was performed in 37.3% of included patients. Clinical cure was noted in 80.3%, while the overall mortality was 19.4%. Infection at the aortic valve was independently associated with mortality by IE. This systematic review gives a comprehensive description of IE by Klebsiella and provides information on epidemiology, clinical manifestations, therapeutic strategies and their outcomes.
Keyphrases
- aortic valve
- systematic review
- ejection fraction
- end stage renal disease
- heart failure
- mitral valve
- aortic stenosis
- transcatheter aortic valve replacement
- transcatheter aortic valve implantation
- newly diagnosed
- aortic valve replacement
- randomized controlled trial
- computed tomography
- prognostic factors
- left ventricular
- pulmonary hypertension
- risk factors
- electronic health record
- deep learning
- type diabetes
- metabolic syndrome
- candida albicans
- smoking cessation