A Nomogram for Predicting the Effectiveness of Consultations on Multi-Drug Resistant Infections: An Exploration for Clinical Pharmacy Services

A nomogram model was developed to predict the risk of consultation failure and was shown to be good accuracy and good prediction efficiency, which can provide proactive interventions to improve outcomes for potentially treatment ineffective patients.

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Publication Details

Journal
Infection and Drug Resistance
Published
2024-08-01
DOI
https://doi.org/10.2147/idr.s470883
Citations
3
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.89

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article

A Nomogram for Predicting the Effectiveness of Consultations on Multi-Drug Resistant Infections: An Exploration for Clinical Pharmacy Services

Hui Ao, Huizhu Song, Jing Li
3 citations
Infection and Drug Resistance
Antibiotic Use and Resistance
0.89
article

A Nomogram for Predicting the Effectiveness of Consultations on Multi-Drug Resistant Infections: An Exploration for Clinical Pharmacy Services

Hui Ao, Huizhu Song, Jing Li
article en
3 citations

Abstract

A nomogram model was developed to predict the risk of consultation failure and was shown to be good accuracy and good prediction efficiency, which can provide proactive interventions to improve outcomes for potentially treatment ineffective patients.

Infection and Drug ResistanceVol. Volume 17
Wuxi People's Hospital (CN), Nanjing Medical University (CN)
Nanjing Medical University
Openalex Percentile: Top 20%
Antibiotic Use and Resistance
0.89
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