Figures & data
Table 1 General Characteristics of the Patients
Figure 1 Bar charts of non-survivor and survivor counts in older adults with CAP by different scores among four scoring systems. Each chart shows the proportion in CURB-65, MEWS, qSOFA and NEWS, respectively.
![Figure 1 Bar charts of non-survivor and survivor counts in older adults with CAP by different scores among four scoring systems. Each chart shows the proportion in CURB-65, MEWS, qSOFA and NEWS, respectively.](/cms/asset/5d42d5f3-ee0a-4a95-9968-65d215cfc05a/dcia_a_335315_f0001_b.jpg)
Figure 2 Bar charts of non-ICU and ICU counts in older adults with CAP by different scores among four scoring systems. Each chart shows the proportion in CURB-65, MEWS, qSOFA and NEWS, respectively.
![Figure 2 Bar charts of non-ICU and ICU counts in older adults with CAP by different scores among four scoring systems. Each chart shows the proportion in CURB-65, MEWS, qSOFA and NEWS, respectively.](/cms/asset/9ecfdd91-d906-4d4a-b9c6-085ed329c0e7/dcia_a_335315_f0002_b.jpg)
Table 2 The Multivariable Logistic Model for Mortality
Table 3 The Multivariable Logistic Model for ICU Admission
Table 4 The AUC of Predictive Factors for Mortality
Figure 3 Receiver operating characteristic (ROC) curves and corresponding area under the curve (AUC) statistics for the risk of the mortality in older CAP by CURB-65, qSOFA, MEWS and NEWS scoring systems. The cutoff value, sensitivity and specificity of CURB-65, qSOFA, MEWS and NEWS were (362.68%, 92.45%),(180.99%, 84.02%), (4, 80.28%, 87.36%), (5, 83.1%, 80.49%), respectively.
![Figure 3 Receiver operating characteristic (ROC) curves and corresponding area under the curve (AUC) statistics for the risk of the mortality in older CAP by CURB-65, qSOFA, MEWS and NEWS scoring systems. The cutoff value, sensitivity and specificity of CURB-65, qSOFA, MEWS and NEWS were (362.68%, 92.45%),(180.99%, 84.02%), (4, 80.28%, 87.36%), (5, 83.1%, 80.49%), respectively.](/cms/asset/fcf8abbb-c194-403e-be68-947c6155e28b/dcia_a_335315_f0003_c.jpg)
Figure 4 Receiver operating characteristic (ROC) curves and corresponding area under the curve (AUC) statistics for the risk of the Intensive Care Unit (ICU) admission in older CAP by CURB-65, qSOFA, MEWS and NEWS scoring systems. The cutoff value, sensitivity and specificity of CURB-65, qSOFA, MEWS and NEWS were (2, 96.08%, 56.54%), (1, 86.27%, 81.83%), (4, 90.2%, 85.56%), (7, 96.08%, 95.52%), respectively.
![Figure 4 Receiver operating characteristic (ROC) curves and corresponding area under the curve (AUC) statistics for the risk of the Intensive Care Unit (ICU) admission in older CAP by CURB-65, qSOFA, MEWS and NEWS scoring systems. The cutoff value, sensitivity and specificity of CURB-65, qSOFA, MEWS and NEWS were (2, 96.08%, 56.54%), (1, 86.27%, 81.83%), (4, 90.2%, 85.56%), (7, 96.08%, 95.52%), respectively.](/cms/asset/f9d9c0e8-a63d-47da-b3f3-42dab1514fb6/dcia_a_335315_f0004_c.jpg)
Table 5 The Cutoff Value of Predictive Factors for Mortality
Table 6 The AUC of Predictive Factors for ICU Admission
Table 7 The Cutoff Value of Predictive Factors for ICU Admission
Table 8 Comparison of ROC for Mortality
Figure 5 Comparison of ROC and AUC for selection of better scoring system to predict mortality in older CAP.
![Figure 5 Comparison of ROC and AUC for selection of better scoring system to predict mortality in older CAP.](/cms/asset/cb8e7156-a03b-439c-b22a-ab5d5bc74e51/dcia_a_335315_f0005_c.jpg)
Table 9 Comparison of ROC for ICU Admission