Prediction scoring model for acquired acinetobacter baumannii pneumonia in hospital
A technology of Acinetobacter baumannii and predictive scoring, applied in the field of biomedicine, can solve problems such as limited treatment options and poor prognosis, achieve good discrimination ability, increase probability, and improve prognosis
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[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are the embodiment of the present invention Some, but not all, embodiments.
[0027] For patients with severe hospital-acquired pneumonia (HAP), it is a great challenge for physicians to formulate the most appropriate empiric antimicrobial regimen for patients until positive bacterial culture results are available, making treatment selection very difficult due to severe antimicrobial resistance. limited, often with poor prognosis; the most common pathogen of HAP is mainly Acinetobacter baumannii (ABA), which is highly resistant to carbapenems and other commonly used clinical antibiotics, so for ABA-HAP patients, Commonly used antibacterial drug...
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