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Table 3 The predictive performance of prediction model, SOFA and SAPSII

From: A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study

Models

Sets

Accuracy (95% CI)

AUC (95% CI)

Sensitivity (95% CI)

Specificity (95% CI)

PPV (95% CI)

NPV (95% CI)

Established model

Testing set

0.705 (0.692–0.718)

0.812 (0.798–0.826)

0.798 (0.773–0.823)

0.682 (0.668–0.697)

0.385 (0.364–0.407)

0.931 (0.922–0.940)

 

Training set

0.732 (0.724–0.740)***

0.811 (0.802–0.820)

0.762 (0.745–0.779)*

0.724 (0.714–0.733)***

0.422 (0.407–0.437)**

0.920 (0.914–0.926) *

SOFA

Testing set

0.723 (0.711–0.736)

0.539 (0.518–0.559)***

0.232 (0.206–0.258)***

0.846 (0.835–0.857)***

0.273 (0.243–0.304)***

0.815 (0.803–0.827)***

SAPSII

Testing set

0.609 (0.595–0.623)***

0.609 (0.589–0.629)***

0.555 (0.524–0.586)***

0.623 (0.607–0.638)***

0.269 (0.249–0.288)***

0.848 (0.835–0.861)***

  1. AUC The area under of curve; CI Confidence interval; SOFA Sequential organ failure assessment; SAPS II Simplified acute physiology score II; PPV Positive predictive value; NPV Negative predictive value
  2. Taking established model-testing set as reference, the predictive performance of established model training set, SOFA-testing set and SAPSII-testing set was compared;
  3. *represents P < 0.05; **represents P < 0.01; ***represents P < 0.001
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BMC Pulmonary Medicine

ISSN: 1471-2466

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