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ORIGINAL RESEARCH

Derivation and Validation of a Predictive Scoring Model of Infections Due to Acinetobacter baumannii in Patients with Hospital Acquired Pneumonia by Gram-Negative Bacilli

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Pages 1055-1066 | Published online: 15 Mar 2022

Figures & data

Table 1 Patient Characteristics and Univariate Analysis Between ABA-HAP and Non-ABA-HAP Group

Table 2 Independent Risk Factors for Predicting ABA-HAP

Table 3 The Diagnostic Efficiency of the Predictive Scoring Model at Different Cutoff Values

Figure 1 The performance of the predictive scoring model in the derivation cohort. (A) ROC curve of the derivation cohort; (B) scores distribution of the different risk groups in the derivation cohort.

Figure 1 The performance of the predictive scoring model in the derivation cohort. (A) ROC curve of the derivation cohort; (B) scores distribution of the different risk groups in the derivation cohort.

Figure 2 The incidence of ABA-HAP in the low-risk, moderate-risk and high-risk groups.

Figure 2 The incidence of ABA-HAP in the low-risk, moderate-risk and high-risk groups.

Figure 3 The performance of the predictive scoring model in the validation cohort. (A) ROC curve of the validation cohort; (B) scores distribution of the different risk groups in the validation cohort.

Figure 3 The performance of the predictive scoring model in the validation cohort. (A) ROC curve of the validation cohort; (B) scores distribution of the different risk groups in the validation cohort.