Quality of life before intensive care unit admission is a predictor of survival

Table 2 Statistical characteristics of mortality prediction models in ICU patients

Characteristic	Model A	Model B	Model C	Model D	Model E
Sensitivity	0.45	0.50	0.44	0.52	0.56
Specificity	0.80	0.81	0.84	0.81	0.82
PPV	0.58	0.62	0.63	0.63	0.66
NPV	0.70	0.72	0.70	0.73	0.75
AUC	0.719	0.736	0.721	0.760	0.768
LR + (95% CI)	2.24 (1.66 to 3.02)	2.59 (1.93 to 3.48)	2.71 (1.95 to 3.77)	2.69 (2.00 to 3.60)	3.07 (2.28 to 4.12)
LR - (95% CI)	0.69 (0.59 to 0.80)	0.62 (0.52 to 0.73)	0.67 (0.58–0.78)	0.59 (0.50 to 0.71)	0.54 (0.45 to 0.65)

Model A included the general health item of the 36-item Short-form (SF-36), age and sex. Model B included the physical component score (PCS), mental component score (MCS), age and sex. Model C included the Acute Physiology and Chronic Health Evaluation (APACHE) II score, age and sex. Model D included the general health item of the SF-36, APACHE II score, age and sex. Model E included PCS, MCS, APACHE II score, age and sex. AUC, area under the curve; CI, confidence interval; HRQOL, health-related quality of life; ICU, intensive care unit; LR, likelihood ratio (+positive, -negative); NPV, negative predictive value; PPV, positive predictive value.

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