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Table 3 Performance criteria of 10-item brief geriatric assessment for the prediction of prolonged length hospital staya using artificial neural networks (i.e.; modified multilayer perceptron) based on age categories of participants (n = 1117)

From: Age effect on the prediction of risk of prolonged length hospital stay in older patients visiting the emergency department: results from a large prospective geriatric cohort study

Age categoriesb

Sensitivity

Specificity

PPV

NPV

  

AUROC

Number of individuals classified

 

(%)

(%)

(%)

(%)

LR+

LR-

TP

FP

FN

TN

≥  70 years

91.0

96.0

87.7

97.1

22.7

0.1

93.8

242

34

24

816

≥  75 years

89.7

97.8

93.4

96.5

41.0

0.1

93.7

253

18

29

805

≥  80 years

91.2

96.5

89.6

97.0

25.7

0.1

93.2

206

24

20

652

≥ 85 years

90.0

96.8

90.0

96.8

27.8

0.1

95.5

135

15

15

448

  1. PPV Positive predictive value, NPV Negative predictive value, LR+ Likelihood ratio of positive test, LR- Likelihood ratio of negative test, AUROC Area under receiver operating characteristic curve, TP True positive, FP False positive, TN True negative, FN False negative
  2. aDefined as being in the highest tertile of length of hospital stay (i.e., > 13 days)
  3. bonly combinations involving at least 10 participants were considered