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Table 5 Classification matrix for the four mortality prediction systems

From: Assessment of performance of four mortality prediction systems in a Saudi Arabian intensive care unit

 

Died

Survived

 

System

PD

PS

PD

PS

Sensitivity

Specificity

PPV

NPV

OCCR

Cutoff 10%

         

   MPM II0

286

24

334

324

92 (87–95)

49 (45–53)

46 (42–50)

93 (90–96)

63 (60–66)

   MPM II24

201

14

270

196

93 (89–96)

42 (38–47)

43 (38–47)

93 (89–96)

58 (55–62)

   APACHE II

206

9

278

188

96 (92–98)

40 (36–45)

43 (38–47)

95 (92–98)

58 (54–62)

   SAPS II

189

26

234

232

88 (83–92)

50 (45–54)

45 (40–50)

90 (86–93)

62 (58–65)

Cutoff 30%

         

   MPM II0

235

75

143

515

76 (71–80)

78 (75–81)

62 (57–67)

87 (84–89)

77 (75–80)

   MPM II24

169

46

134

332

79 (73–84)

71 (67–75)

56 (50–61)

88 (84–91)

74 (70–77)

   APACHE II

161

54

107

359

75 (69–81)

77 (73–81)

60 (54–66)

87 (83–90)

76 (73–80)

   SAPS II

140

75

99

367

65 (58–71)

79 (74–82)

59 (52–65)

83 (79–86)

74 (71–78)

Cutoff 50%

         

   MPM II0

189

121

58

600

61 (55–66)

91 (89–93)

77 (71–82)

83 (80–86)

82 (79–84)

   MPM II24

142

73

61

405

66 (59–72)

87 (84–90)

70 (63–76)

85 (81–87)

80 (77–83)

   APACHE II

110

105

53

413

51 (44–58)

89 (85–91)

67 (60–75)

80 (76–83)

77 (73–80)

   SAPS II

109

106

52

414

51 (44–58)

89 (86–92)

68 (60–75)

80 (76–83)

77 (73–80)

  1. Figures in parentheses are 95% confidence intervals. PD, predicted to die; PS, predicted to survive; PPV, positive predictive value; NPV, negative predictive value; OCCR, overall correct classification rate.