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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

Pending Publication Date: 2022-04-08
AIR FORCE MEDICAL UNIV
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Problems solved by technology

[0002] For patients with severe HAP, it is a great challenge for physicians to formulate the most appropriate empiric antimicrobial therapy for patients before positive bacterial culture results, due to severe antimicrobial resistance, the treatment options are very limited, and the prognosis is often poor ; carbapenem antibiotics are considered to be the first choice and one of the commonly used drugs for the treatment of severe HAP. However, several large-scale epidemiological surveys in China have shown that the most common pathogenic bacteria of HAP is mainly Acinetobacter baumannii, while Acinetobacter baumannii is highly resistant to carbapenems. According to the 2018 CHINET National Bacterial Resistance Surveillance Network, the national level of CR-ABA is 56.1%.

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  • Prediction scoring model for acquired acinetobacter baumannii pneumonia in hospital
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  • Prediction scoring model for acquired acinetobacter baumannii pneumonia in hospital

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Embodiment Construction

[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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Abstract

The invention discloses a prediction scoring model for acquired acinetobacter baumannii pneumonia in a hospital, and the scoring model is based on N independent risk factors, gives different scores to each independent risk factor, carries out the superposition of the scores of each independent risk factor, calculates a total score, and carries out the prediction of the acquired acinetobacter baumannii pneumonia. The prediction scoring model has good discrimination capability, is helpful for a clinician to decide initial empirical antibacterial treatment and implement specific intervention measures, increases the probability that a patient accepts early proper empirical antibacterial treatment, reduces the case fatality rate of the patient, and improves the clinical experience of the clinician. The prognosis is improved.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a prediction scoring model for hospital-acquired Acinetobacter baumannii pneumonia. Background technique [0002] For patients with severe HAP, it is a great challenge for physicians to formulate the most appropriate empiric antimicrobial therapy for patients before positive bacterial culture results, due to severe antimicrobial resistance, the treatment options are very limited, and the prognosis is often poor ; carbapenem antibiotics are considered to be the first choice and one of the commonly used drugs for the treatment of severe HAP. However, several large-scale epidemiological surveys in China have shown that the most common pathogenic bacteria of HAP is mainly Acinetobacter baumannii, while Acinetobacter baumannii is highly resistant to carbapenems. In 2018, CHINET National Bacterial Resistance Surveillance Network showed that the national level of CR-ABA was 56.1%. ...

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Application Information

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IPC IPC(8): G16H50/20G16H50/50G16H50/80
Inventor 孙康潘蕾李王平金发光
Owner AIR FORCE MEDICAL UNIV
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