02685nas a2200337 4500008004100000022001400041245008200055210006900137260001300206300001000219490000700229520173900236653003101975653000902006653001602015653002102031653001102052653001802063653001102081653000902092653002402101653001402125653003002139653003202169100002002201700002402221700002402245700002002269700002202289856003602311 2008 eng d a1079-500600aA physiologic index of comorbidity: relationship to mortality and disability.0 aphysiologic index of comorbidity relationship to mortality and d c2008 Jun a603-90 v633 a

BACKGROUND: In older adults, there is often substantial undiagnosed chronic disease detectable on noninvasive testing, not accounted for by most comorbidity indices. We developed a simple physiologic index of comorbidity by scoring five noninvasive tests across the full range of values. We examined the predictive validity of this index for mortality and disability.

METHODS: There were 2928 (mean age 74.5 years, 60% women, 85% white, and 15% black) participants in the Cardiovascular Health Study (1992-1993) who had carotid ultrasound, pulmonary function testing, brain magnetic resonance scan, serum cystatin-C, and fasting glucose. These were combined into a single physiologic index of comorbid chronic disease on a scale of 0-10. Cox proportional hazard models were used to predict mortality, mobility limitation, and activities of daily living (ADL) difficulty after a maximum of 9 years.

RESULTS: The range of the physiologic index was quite broad, with very few individuals having total scores of either 0 or 10. Those with an index of 7-10 had a hazard ratio of 3.80 (95% confidence interval, 2.82-5.13) for mortality compared to those with scores of 0-2, after adjustment for demographics, behavioral risk factors, and clinically diagnosed conditions. Associations with mobility limitation and ADL difficulty were also significant. The index explained about 40% of the age effect on mortality risk.

CONCLUSION: Older adults with low levels of markers of chronic disease are rather rare but have remarkably good health outcomes. The ability of such an index to distinguish usual from low risk might provide an opportunity to better understand optimal health in old age.

10aActivities of Daily Living10aAged10aComorbidity10aDisabled Persons10aFemale10aHealth Status10aHumans10aMale10aMobility Limitation10aMortality10aPredictive Value of Tests10aProportional Hazards Models1 aNewman, Anne, B1 aBoudreau, Robert, M1 aNaydeck, Barbara, L1 aFried, Linda, F1 aHarris, Tamara, B uhttps://chs-nhlbi.org/node/1037