Lc. Walter et al., Development and validation of a prognostic index for 1-year mortality in older adults after hospitalization, J AM MED A, 285(23), 2001, pp. 2987-2994
Citations number
39
Categorie Soggetti
General & Internal Medicine","Medical Research General Topics
Context For many elderly patients, an acute medical illness requiring hospi
talization is followed by a progressive decline, resulting in high rates of
mortality in this population during the year following discharge. However,
few prognostic indices have focused on predicting posthospital mortality i
n older adults.
Objective To develop and validate a prognostic index for 1 year mortality o
f older adults after hospital discharge using information readily available
at discharge.
Design Data analyses derived from 2 prospective studies with 1-year of foll
ow-up, conducted in 1993 through 1997.
Setting and Patients We developed the prognostic index in 1495 patients age
d at least 70 years who were discharged from a general medical service at a
tertiary care hospital (mean age, 81 years; 67% female) and validated it i
n 1427 patients discharged from a separate community teaching hospital (mea
n age, 79 years; 61 % female).
Main Outcome Measure Prediction of 1-year mortality using risk factors such
as demographic characteristics, activities of daily living (ADL) dependenc
y, comorbid conditions, length of hospital stay, and laboratory measurement
s.
Results In the derivation cohort, 6 independent risk factors for mortality
were identified and weighted using logistic regression: male sex (1 point);
number of dependent ADLs at discharge (1-4 ADLs, 2 points; all 5 ADLs, 5 p
oints); congestive heart failure (2 points); cancer (solitary, 3 points; me
tastatic, 8 points); creatinine level higher than 3.0 mg/dL (265 mu mol/L)
(2 points); and low albumin level (3.0-3.4 g/dL, 1 point; <3.0 g/dL. 2 poin
ts). Several variables associated with 1-year mortality in bivariable analy
ses, such as age and dementia, were not independently associated with morta
lity after adjustment for functional status. We calculated risk scores for
patients by adding the points of each independent risk factor present. In t
he derivation cohort, 1-year mortality was 13% in the lowest-risk group (0-
1 point), 20% in the group with 2 or 3 points, 37% in the group with 4 to 6
points, and 68% in the highest-risk group (>6 points). in the validation c
ohort, 1-year mortality was 4% in the lowest-risk group, 19% in the group w
ith 2 or 3 points, 34% in the group with 4 to 6 points, and 64% in the high
est-risk group. The area under the receiver operating characteristic curve
for the point system was 0.75 in the derivation cohort and 0.79 in the vali
dation cohort.
Conclusions Our prognostic index, which used 6 risk factors known at discha
rge and a simple additive point system to stratify medical patients 70 year
s or older according to 1-year mortality after hospitalization, had good di
scrimination and calibration and generalized well in an independent sample
of patients at a different site. These characteristics suggest that our ind
ex may be useful for clinical care and risk adjustment.