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Development and Validation of a Model for Predicting the Risk of Death in Patients with Acinetobacter baumannii Infection: A Retrospective Study

Author(s) -
Hui Zhang,
Yayun Zhao,
Yu Zheng,
Qinxiang Kong,
Na Lv,
Yanyan Liu,
Dongmei Zhao,
Jiabin Li,
Ying Ye
Publication year - 2020
Publication title -
infection and drug resistance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.033
H-Index - 39
ISSN - 1178-6973
DOI - 10.2147/idr.s253143
Subject(s) - acinetobacter baumannii , medicine , receiver operating characteristic , nomogram , logistic regression , univariate , area under the curve , hypoalbuminemia , univariate analysis , multivariate analysis , intensive care medicine , multivariate statistics , statistics , biology , mathematics , genetics , bacteria , pseudomonas aeruginosa
This study aimed to develop and validate a personalized prediction model of death risk in patients with Acinetobacter baumannii ( A. baumannii ) infection and thus guide clinical research and support clinical decision-making.

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