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Fig. 4 | BMC Infectious Diseases

Fig. 4

From: Establishment of a novel scoring model for mortality risk prediction in HIV-infected patients with cryptococcal meningitis

Fig. 4

Mortality risk prediction rules for 169 HIV/CM inpatients in the validation cohort. A Interactive dot diagram. The total score calculated by the prediction model labels the vertical axis of the above plot, and the clinical outcome of a patient during hospitalization marks the horizontal axis. The scores for each patient are displayed as dots on two vertical axes. The horizontal line indicates the cut-off point with the best separation. When using a score of 5.5 as the cut-off value to predict the mortality risk of HIV/CM inpatients, the sensitivity of the risk scoring system was calculated to be 73.9% (95% CI, 0.516–0.898), and its specificity was 85.6% (95% CI, 0.789–0.909). B The ROC curve. Each point on the ROC curve represents a sensitivity/specificity pair corresponding to a particular decision threshold. The AUC is a measure of how well a parameter can distinguish between two groups (survivors/non- survivors). ROC, Receiver operator characteristic; AUC, area under the ROC curve; Sens, sensitivity; Spec, specificity

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