Table 2.
Predictive and discriminative capacities of the frailty phenotype and the SFNR-frailty index for clinical outcomes (n=334): Univariate analyses and AUC
| Frailty phenotypec) | OR (95%CI)a) | AUC (95% CI)b) | Sensitivity | Specificity | PPV | NPV | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Non-home discharge | 2.3 (1.3, 3.9)* | 0.65 (0.59, 0.72) | 55/81 | 67.9% | 124/239 | 51.9% | 55/170 | 32.4% | 124/150 | 82.7% |
| Functional decline | 2.6 (1.5, 4.8)* | 0.63 (0.56, 0.70) | 45/63 | 71.4% | 132/257 | 51.4% | 45/170 | 26.5% | 132/150 | 88.0% |
| SFNR-frailty index | ||||||||||
| Non-home discharge | 6.2 (3.0, 12.8)* | 0.76 (0.71, 0.82) | 76/85 | 89.4% | 105/249 | 42.2% | 76/220 | 34.6% | 105/114 | 92.1% |
| Functional decline | 2.8 (1.4, 5.5)* | 0.66 (0.59, 0.74) | 55/67 | 82.0% | 102/267 | 38.2% | 55/220 | 25.0% | 102/114 | 89.5% |
Abbreviations: OR, Odds ratio; CI, confidence interval; AUC, area under the receiver operating curve; PPV, positive predictive value; NPV, negative predictive value; *p-value<0.01 for univariate logistic regression model; a) Odds ratio (95%CI) calculated from univariate logistic regression model; all frailty instruments (dependent variables) included as binary variables (frail vs. non-frail); b) AUC calculated from Receiver operating characteristic curve (ROC); frailty instruments coded as ordinal variables (clinical frailty phenotype) or continuous variable (FI); c) N=320, (n=14 missing)