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. 2014 May 29;14:42. doi: 10.1186/1472-6947-14-42

Table 4.

Performance of the ICD-9-CM-based and alternative models for identifying CABG SSIs (training data: medical center A)

  Sensitivity Specificity PPV NPV Accuracy
ICD-9-CM-based model
37.50% (9/24)
96.27% (956/993)
19.57% (9/46)
98.46% (956/971)
94.89% (965/1017)
Model 1
4.17% (1/24)
99.90% (992/993)
50.00% (1/2)
97.73% (992/1015)
97.64% (993/1017)
Model 2
54.17% (13/24)
96.78% (961/993)
28.89% (13/45)
98.87% (961/972)
95.77% (974/1017)
Model 3
100.00% (24/24)
3.22% (32/993)
2.44% (24/985)
100.00% (32/32)
5.51% (56/1017)
Model 4
100.00% (24/24)
94.56 (939/993)
30.77% (24/78)
100.00% (939/939)
94.69% (963/1017)
Model 5 87.50% (21/24) 99.40% (987/993) 77.78% (21/27) 99.70% (987/990) 99.12% (1008/1017)

% (numerator/denominator).

ICD-9-CM: The International Classification of Diseases, Ninth Revision, Clinical Modification; PPV: positive predictive value; NPV: negative predictive value. Model 1: the classification algorithms (strict); Model 2: the classification algorithms (moderate); Model 3: the classification algorithms (loose); Model 4: the multivariable regression model: Model 5: data mining-decision tree model.