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Fig. 2 | BMC Medicine

Fig. 2

From: Development and validation of a simple tool composed of items on dyspnea, respiration rates, and C-reactive protein for pneumonia prediction among acute febrile respiratory illness patients in primary care settings

Fig. 2

Development of a clinical model for pneumonia prediction in acute febrile patients. The odd ratios (A) and predictive values (B) of clinical characteristics were calculated for the prediction of pneumonia. Dyspnea and respiration rates > 20/min were two predictors that showed high odd ratios and had good performance on both PPV and NPV. C ROC curves for pneumonia prediction were analyzed among blood parameters. In these parameters, CRP yielded significantly higher accuracy than other parameters, with an AUC of 0.7249. D Predictive values of “Dyspnea + RR > 20/min” model and “Dyspnea + RR > 20/min + CRP” model were compared for pneumonia. The addition of CRP significantly improved the AUC from 0.7900 to 0.8716 (P < 0.01). CRP, C-reactive protein; RR, respiration rates; ROC, receiver operating characteristic; AUC, area under the curve; PPV, positive predictive value; NPV, negative predictive value

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