A nomogram to predict congestive heart failure in patients with acute kidney injury: a retrospective study based on the MIMIC-III database

Figures

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  Fig. 1. Follow chat of study population selection. MIMIC: Medical Information Mart for Intensive Care; ICD: International Classification of Diseases

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  Fig. 2. Nomogram for predicting the probability of congestive heart failure. Left column shows the points bar (top) and eight parameters, each to be scored with a vertical line to the points bar, according to the different parameter values. The sum of the points is calculated (total points range, 0–350), and a vertical line is drawn from the total points bar to the diagnostic possibility below, to obtain probability of congestive heart failure

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  Fig. 3. Receiver operating characteristic (ROC) curves for the nomogram 、 SOFA and APSIII, showing AUCs for predicting the probability of congestive heart failure. (A): training cohort; (B) validation cohort; AUC: area under the curve. APSIII: Acute physiology score III; SOFA: Sequential Organ Failure Assessment

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  Fig. 4. Calibration curves for predicting the probability of congestive heart failure. In both sets, the apparent curve and bias-corrected curve slightly deviated from reference line, but a good conformity between observation and prediction is observed. (A): Training cohort; (B): Validation cohort

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  Fig. 5. Decision-curve analysis of the nomogram for predicting the probability of congestive heart failure. In all figures the black line is above the red line and blue line, showing that the area under the curve is larger for the new nomogram model than for the SOFA and APSIII. (A): Training cohort; (B): Validation cohort; APSIII: Acute physiology score III; SOFA: Sequential Organ Failure Assessment; Black dotted line: nomogram model; Red dotted line: SOFA model; Blue dotted line: APSIII