Functional Assessment of the Older Patient With Cancer

July 1, 2008

The population of the United States and other industrialized nations is aging rapidly. The increased life span allows for longer exposure to carcinogens and the accumulation of genetic alterations. Thus, the incidence of cancer is increasing along with the aging of the population.

Cancer is a disease associated with aging. As the population ages worldwide, the number of older adults with cancer is dramatically increasing. In both the geriatric and oncology literature, an individual's functional status is one of the strongest predictors of overall survival and resource requirement. However, the measures traditionally used in oncology practice to assess functional status in patients of all ages-and to determine the course of treatment-do not identify the subtle degrees of functional impairment that predict morbidity and mortality in the geriatric population. This article describes the tools used by geriatricians to assess physical function, and outlines their prognostic significance for the patient with cancer. Including these tools in daily oncology practice could help physicians to better assess and treat vulnerable older adults.

The population of the United States and other industrialized nations is aging rapidly. The increased life span allows for longer exposure to carcinogens and the accumulation of genetic alterations. Thus, the incidence of cancer is increasing along with the aging of the population. Patients aged ≥ 65 years account for approximately 60% of new cancer cases and 70% of all cancer mortality annually.[1]

Health and functional ability vary more in older adults than in younger patients. Even without the presence of actual disease, aging itself causes gradual, progressive loss in the biologic reserve necessary for the body to maintain physiologic homeostasis under stress, a phenomenon called “homeostenosis.” Even in healthy and highly functioning older adults, there is some degree of loss in the ability to tolerate stress. In addition, many older adults have one or more chronic medical conditions, which further decrease their organs' reserve and ability to respond to stress. Over time, increasing homeostenosis contributes to a gradual but progressive decline in the ability to function in the environment and to tolerate illness and disease.

In the general geriatric population, functional status and level of dependency have been found to predict survival.[2] For the older adult with cancer, then, the oncologist must be able to stage not only the cancer but also consider how a patient's functional status may affect the ability to tolerate and respond to treatment.[3] To accommodate this variable homeostenosis in older patients with cancer and increase their chances for survival, treatment plans need to be more individualized than for the younger population.

Many oncologists use the Karnofsky performance status score (KPS) or Eastern Cooperative Oncology Group (ECOG) scale to assess a patient's ability to perform daily tasks. However, with older patients, these scales often miss subtle degrees of functional impairment.[4] While about 80% of older adults with cancer have an ECOG performance status of 0 or 1 at the time of diagnosis, more than 50% of these patients require assistance with instrumental activities of daily living such as driving, shopping, and managing finances.[5] This functional dependence can have a negative impact on treatment tolerance and survival.[6] For the older adult with cancer, a broader assessment of function is needed.

Geriatricians use standardized assessment tools to distinguish clinical functional age from chronologic age; this is referred to as a comprehensive geriatric assessment (CGA). In the older adult with cancer, the goal of such an assessment would be to identify subtle functional issues that might contribute to morbidity and mortality independent of cancer therapy.

This article identifies some of the tools utilized by geriatricians in assessing the functional status of older adults. We also review the literature that supports the validity of these tools in the general geriatric population and, if available, in the geriatric oncology population. With these tools, oncologists could identify problems that, if modified, would potentially improve the older adult's ability to tolerate treatment.

Measures for Assessing Physical Function in the Geriatric Population

Self-Report Tools

Domains Assessed

Predicted Clinical Outcome

IADLs

Telephone use, transportation, shopping, meal preparation, housework, taking medications, handling finances

Impairment in < 1 increases the odds of nursing home placement or mortality 7-fold at 6 yr of follow-up.[8]

ADLs

Ambulation, bathing, dressing, toileting, transfer from bed to chair, continence, feeding

Impairment in 1 or 2 ADLs increases the odds of nursing home placement 10-fold or mortality 9-fold at 6 yr of follow-up.[8]

Stair climbing

Ability to climb flight of stairs

Having difficulty increases risk of mortality 3-fold at 2 yr.[64]

Walking

Ability to walk several blocks

Having difficulty increases risk of mortality 4-fold at 2 yr.[64]

Performance-Based Tools

Gait speed, 4 m

Decline of 0.1 m/s from baseline at 1 yr increases the 5-yr risk of mortality by 2.23 times.[17]

Gait speed, 400 m

Participants in the poorest quartile of functional capacity (> 362 s) had a 3-fold increased risk of death at 5 yr of follow-up compared with those in the best quartile (< 290 s).[65]

Get Up and Go test

Sit in a chair with arms folded across the chest, stand, walk forward 3 m, turn, walk back to chair, sit, all without using arms for support.

Subjects needing > 30 s were dependent in transfers and needed assistance to climb stairs.[15]

SPPB

Walk 8 ft at usual walking speed, rise from straight chair 5 times as quickly as possible, side by side stand for 10 s, semitandem stand for 10 s, and full-tandem stand for 10 s.

Scores of 4–6 were 3.2–7.4 times more likely to reflect ADL impairment; scores of 7–9 were 1.4–3.3 times more likely to reflect ADL impairment.[13] Those with decline of 1 point from baseline at 1 yr were 1.8 times more likely to die within 5 yr.[17]

ADLs = activities of daily living; IADLs = instrumental activities of daily living; m = meters; s = seconds; SPPB = Short Physical Performance Battery.

 

Tools for Assessing Physical Function in the Geriatric Population

Self-Reported Physical Function

Geriatricians evaluate function by scoring the need for assistance with instrumental activities of daily living (IADLs) and basic activities of daily living (ADLs). IADLs encompass complex skills that are necessary for maintaining independence in the community, such as using the telephone; taking transportation; doing shopping, housework, and laundry; taking medications; and managing finances. ADLs encompass more basic functions required to maintain independence in the home, including bathing, dressing, toileting, feeding oneself, transferring from a bed or a chair, and maintaining continence (Table 1).

In the general geriatric population, requiring assistance with IADLs and ADLs has foreshadowed both further functional decline and mortality.[2,7] A study of community-dwelling older adults found that those who were impaired in one or more IADLs at the start of the study had almost sevenfold greater odds of being admitted to a nursing home within the next 6 years. However, if the respondents were dependent in one or two ADLs at the start of the study, they had almost 10-fold greater odds of being institutionalized.[8] In terms of mortality, community-dwelling older adults who were dependent in at least one IADL had almost a sevenfold greater risk of dying over the 6-year follow-up period compared with subjects who had no impairment.[8]

In older adults with cancer, independence in IADLs has been associated with improved treatment tolerance and improved survival. In a study of patients aged ≥ 70 years with advanced non–small-cell lung cancer receiving chemotherapy, independence in IADLs before starting treatment was associated with higher quality of life and improved overall survival.[9] In a smaller study of patients with ovarian cancer aged ≥70, functional dependence, defined as living at home with assistance or living in an assisted-care facility, independently predicted the risk of toxicity from chemotherapy.[6]

ADL dependence and how it affects outcomes has not been established in studies of outpatient cancer care for older adults, likely because most of this population does not require assistance with ADLs. However, the story for hospitalized older adults with cancer is more compelling. In a study of older adults with cancer admitted to an acute care for elders (ACE) unit, 45% required assistance in ADLs.[10] This has significant implications for these patients, as previous studies have demonstrated that the presence of impairment in ADLs increases the risk of mortality for hospitalized older adults.[7,11]

Performance-Based Measures of Physical Function

Older adults who are beginning to experience functional decline may not always detect and subsequently report early changes in function. Thus, while the IADL and ADL scales are convenient in a busy office setting because of their quick and easy administration, some studies have indicated that performance-based measures more accurately identify limitations in function than those relying on self-report.[12,13]

• Short Physical Performance Battery-A simple, standardized examination of physical function is the Short Physical Performance Battery (SPPB). It involves five directly observed tests that can be conducted by a member of the office staff (Table 2): walking 8 ft at the patient's usual walking speed; rising from a chair and returning to the seated position 5 times; and standing for 10 seconds with the feet together (in the side-by-side position), semitandem position (heel of one foot placed to the side of the first toe of the other foot), and tandem position (heel of one foot directly in front of the toes of the other foot).[13] Total scores range from 0 to 12, with higher scores indicating better function.

In a study of more that 5,000 subjects aged ≥ 71, increasing SPPB performance scores were associated with a stepwise decline in the mortality rate. Subjects who scored in the 25th percentile were more than twice as likely to die as those in the 75th percentile (a 5-point difference in scores). As decline in mobility has been correlated with progressive loss of other functions, it is particularly telling that low SPPB scores predict disability in ADLs at 1 and 4 years of follow-up.[14]

• Timed Up and Go Test-The Timed Up and Go (or Get Up and Go) test is a performance-based measure of functional mobility. To perform the test, the older adult sits in a chair with arms folded across the chest. While being timed with a stopwatch, the patient stands, walks forward 3 meters, turns, walks back to the chair, and sits, all the while without using the arms for support.

In a study of community-dwelling older adults ranging in age from 70 to 84 years, the mean time to complete the test was 8.5 seconds. Patients who were able to perform the test in less than 20 seconds tended to be independent in transfers. Older adults who required 30 or more seconds were more likely to require assistance with chair and toilet transfers, were at high risk for falls, and the majority could not climb stairs. The 25% of subjects who required between 20 and 29 seconds to complete the test varied widely in their balance, gait speed, and functional abilities. In this “grey zone” group, further individual assessment was needed to clarify functional ability. Scores on the Timed Up and Go correlated with measures of balance and gait speed.[15]

• Walking Speed-Several studies in the geriatric literature have indicated that gait speed is a valid functional indicator, and its simplicity is attractive for the clinical setting. An office staff member simply times patients walking at their usual speed for 4 meters marked on the floor with tape. In a prospective cohort study of 487 community-dwelling older adults, 41% of “slow walkers” (gait speed < 0.6 m/s) were admitted to the hospital at least once in the ensuing 12 months, compared with 26% of medium-speed walkers (0.6–1.0 m/s) and only 11% of “fast walkers” (> 1.0 m/s).[16] A decrease in walking speed by 0.1 m/s within 1 year is associated with a higher mortality rate at 5 years.[17] We found no studies of gait speed specific to the older adult cancer population; nevertheless, it provides a simple performance-based measure for the office setting, and merits further study.

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Other Geriatric Issues Important to Cancer Treatment

As previously described, older adults constitute a complex population with considerable variability in degree of wellness and ability to tolerate cancer treatment. Just examining functional ability with one of the tests mentioned will not give a complete picture. Issues such as memory impairment, malnutrition, and depression, often referred to as “geriatric syndromes,” are also prevalent in older adults and should be considered as well.

Cognitive Function

Cognitive impairment and dementia are diseases that predominantly strike older adults. In studies where comprehensive geriatric assessments were conducted in older patients with cancer, as many as 25% to 50% of the subjects screened positive for cognitive abnormalities.[5] However, a positive screen for cognitive impairment does not diagnose dementia; further testing and work-up are recommended. If a patient screens positive for memory impairment, referral to geriatrics, neurology, or psychiatry should be considered.

Previous studies have demonstrated an association between physical and cognitive function in older adults.[18-21] Fitzpatrick and colleagues studied 3,035 healthy older adults with a mean age of 78.6 and found an association between low cognitive score on the Modified Mini-Mental Status exam and the slowest quartile on a walking test.[20] Coppin and colleagues studied 737 older adults, mean age 72.7, and found an association between poor executive function and slow gait speed.[21] In the Women's Health and Aging Study, difficulties in executive function were associated with slower performance on tasks of higher-order IADLs.[22]

Other studies have demonstrated that changes in cognitive status are associated with longitudinal changes in physical function and subsequent disability. The MacArthur Research Network on Successful Aging Community Study evaluated changes in physical and cognitive function over a 7-year period in a cohort of high-functioning older adults. This study found that declines in cognitive function were associated with declines in routine physical tasks such as walking at a normal pace, as well as demanding physical tasks such as standing on one leg.[19] In a community-based longitudinal study of 977 individuals aged < 65, cognitive status predicted functional limitations (upper and lower body) as well as disability in ADLs. Atkinson and colleagues studied 2,349 older adults, mean age 75.6, and found that global and executive cognitive function predicted declines in gait speed.[23]

• Implications for Cancer Patients-Cognitive function has significant practical implications for a patient receiving cancer therapy. In the presence of memory impairment, the patient will have difficulty understanding and remembering treatment instructions, potentially affecting compliance with oral cancer therapy or supportive medications. Patients with cognitive impairment may have difficulty remembering the signs and symptoms of cancer or cancer therapy side effects that warrant medical attention, or may have trouble remembering appointments. In more advanced cases of dementia, the capacity of patients to make decisions regarding treatment also becomes problematic. These issues help explain the association of dementia with increased mortality across all older populations.[24] Identifying and enlisting the patient's social support network or community-based support systems (such as a visiting nurse) are critical in optimizing results and minimizing complications from cancer therapy.

A second issue with cognitive complaints in older adults with cancer is the current lack of understanding of whether the cognitive problem is from a preexisting condition or if it is cancer- or cancer therapy–related. Complaints of cognitive dysfunction following cancer treatment have been described, particularly among breast cancer survivors. However, few studies have specifically focused on the association between cancer therapy and cognitive function in older adults or those with preexisting cognitive problems.[25,26] A recent review of published studies did not conclusively show an association between cancer treatment and subsequent development of dementia.[27] This deserves further research because of its important survivorship implications.

Simple, valid screening tests for cognitive impairment include the Mini-Mental Status exam.[28] Other shorter screening tests include the Six-item Screener,[29] the Clock-Draw test,[30] and the Blessed Orientation-Memory-Concentration test.[31]

Table 2

Short Physical Performance Battery for Testing Physical Function in Older Adults

Score

Physical Performance Tests

Standing Balance Tests

Side-by-Side

Semitandem

Full-Tandem

0

• < 10 s
• Tried but unable
• Not attempted

• < 10 s
• Tried but unable
• Not attempted

-

1

10 s

• < 10 s
• Tried but unable
• Not attempted

-

2

-

10 s

• < 3 s
• Tried but unable
• Not attempted

3

-

10 s

< 3 s to < 10 s

4

-

10 s

10 s

Walking 8 ft

1

> 5.7 s

2

4.1–5.6 s

3

3.2–4.0 s

4

< 3.1 s

Sit to Stand From Chair 5 Times

1

> 16.7 s

2

13.7–16.6 s

3

11.2–13.6 s

4

< 11.1 s

s = seconds.

Source: Guralnik JM et al.[13]

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Comorbidity

The typical older oncology patient has multiple noncancer conditions (comorbidities), and the complexity of comorbidity increases with age.[32] Accordingly, older patients are more likely to take multiple medications, to suffer significant impairments and symptomatic limitations related to their comorbidity, and to have less functional reserve in the face of the stresses related to the primary cancer and its treatment.[33-37] Despite widespread recognition that comorbidity is clinically relevant, the application of this concept is more complex in daily practice.

Comorbidity is frequently considered in terms of an index, or as the total number of noncancer conditions, and even a simple method of counting chronic conditions provides an estimation of life expectancy among patients with cancer.[38] Other commonly used tools include the Charlson Comorbidity Index, which weighs the number and severity of comorbid medical conditions as well as the age of the patient.[39,40] The Adult Comorbidity Evaluation–27 weighs each comorbid condition according to level of severity and then generates an overall comorbidity score based on the severity of the highest-rank ailment.[41] Both of these comorbidity indexes can be abstracted from a chart review.[39,40] Other comorbidity indexes use patient self-report to capture illnesses, age, and physical function in order to stratify the risk of mortality among community-dwelling older adults.[42]

While these tools are helpful when the goal is estimation of life expectancy or risk adjustment across hospitals or providers, it is unlikely that a single index will capture the complexity of a heterogeneous population of older adults across different types of cancer.[43-45] More importantly, combining conditions into a single score fails to capture the clinical complexities of caring for adults with multiple chronic conditions or the variation in the clinical relevance of these conditions across patients.[38,46,47] Clinical decision-making in older persons with cancer would benefit from a better understanding of the impact that specific conditions, as well as combinations of conditions, have on patient outcomes.

Nutrition/Weight Loss

Screening for malnutrition is warranted in older adults with cancer. Among community-dwelling older adults in the general population, the prevalence of malnutrition is low (mean: 2%, range: 0%–8%), although the risk of malnutrition is high (mean: 24%, range: 8%–76%). However, studies of hospitalized older adults found a mean prevalence of malnutrition of 23% (range: 1%–74%).[48] Weight loss and poor nutritional status are associated with poorer response to therapy and decreased survival.[49,50]

Several tools can provide nutritional screening. One that has been well validated to correlate with clinical assessment and objective indicators of nutritional status is the Mini Nutritional Assessment (MNA), which evaluates dietary intake, anthrometrics, self-perceived nutrition and health, and a general assessment of lifestyle, mobility, medications, and cognition.[51] The MNA–Short Form (MNA-SF) was validated to employ a two-step screening process, with lower scores indicating higher risk for malnutrition. If the score is ≥ 12, the patient is at low risk for malnutrition and no further assessment is needed at that time. If the score is ≤ 11, the rest of the MNA should be completed to determine whether the patient is malnourished or is at risk of becoming so, and the patient should be referred to a dietitian for assistance.[48]

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Polypharmacy

Normal physiologic changes that accompany aging can also cause changes in the pharmacokinetics and pharmacodynamics of cancer therapy. Older adults lose muscle and gain fat as they age. Total body water decreases while percentage of body fat increases, a fact that alters the distribution of drugs in the body. In addition, renal clearance decreases, even if no elevation in blood urea nitrogen or creatinine is detected. Finally, with increasing age, blood flow to the liver is less vigorous than at younger ages, and the liver shrinks in size. These changes have an impact on hepatic metabolism.

As the body ages, it can accumulate chronic diseases such as diabetes mellitus and hypertension. Many older adults who present with a new cancer diagnosis are already taking multiple medications, and cancer treatment and its side effects will likely add more. While there have been few studies about the impact of polypharmacy in cancer treatment, we do know from geriatric literature that the more medications someone is taking, the higher the risk of an adverse drug reaction (ADR).[52,53]

A thorough review of a patient's medications, both prescribed and over-the-counter, can help decrease the risk of ADRs. Such an assessment allows for the identification of potential drug interactions or the need for dose adjustments to accommodate age-related changes in organ function, as well as the elimination of unnecessary medications. Having the patient bring all medication bottles to an outpatient visit provides the most accurate picture of what the person has access to and is taking. It can also corroborate compliance with a treatment regimen.

Psychosocial Support

In recent years, cancer care has moved from the inpatient to the outpatient setting. While beneficial on many levels for both the patient and the health-care system, this shift has thrust family and friends into caregiving roles that were previously performed by trained hospital staff. This can be particularly problematic for patients who have no social network of support, and it may be why such isolation has been associated with a greater mortality risk.[54] Asking simple questions such as: “Who would you call in an emergency?” and “Who is available to help you in times of need?” can help identify patients who are socially isolated.

Depression has been shown to increase the risk of functional decline and increase health-care resource use. It is also associated with poorer survival for cancer patients. While some studies have demonstrated that a more comprehensive screen for depression is needed,[55] other studies have demonstrated that an effective screening tool for depression is to simply ask the patient if he or she feels depressed or sad.[56,57] A positive answer should be followed with further questioning for common depressive symptoms, such as anhedonia, changes in sleep patterns, crying spells, etc. The oncologist can then ask if the patient would be interested in counseling, medication, or both. These few questions can help guide the plan for further evaluation and treatment of a mood disorder.

Integrating Geriatric Assessment Tools Into Oncology Practice

In this article we reviewed some practical tools for assessing the functional status of older adults with cancer, as well as highlighted other domains that may affect an older adult's ability to tolerate cancer therapy. A comprehensive geriatric assessment and intervention has proven clinical benefit for optimizing health outcomes as well as improving function and quality of life in older adults.[58,59]

The feasibility of including a geriatric assessment[60] as part of the baseline evaluation of older adults on clinical trials is being studied by the Cancer and Leukemia Group B Cancer in the Elderly Committee. Other approaches have been described in the literature, including a mailed geriatric assessment completed by the patient prior to an office visit, a primarily self-administered geriatric assessment, or an abbreviated geriatric assessment.[5,60-63] Studies are underway to evaluate which domains and questions from a geriatric assessment are predictive for the risk of chemotherapy toxicity. These data can guide subsequent studies of interventions to help improve tolerance to cancer therapy in older adults. Ultimately, the integration of knowledge learned in the fields of both geriatrics and oncology will optimize cancer care for older adults.

This article is reviewed here:

Translation Requires Evidence: Does Cancer-Specific CGA Lead to Better Care and Outcomes?

Disclosures:

Financial Disclosure:The authors had no conflicts of interest to disclose.
Dr. Schubert's efforts are supported by the US Department of Health and Human Services, Health Resources and Services Administration, Bureau of Health Professions Geriatric Academic Career Award Program. Dr. Gross's efforts are supported by a Beeson Career Development Award (1 K08 AG24842 (Paul Beeson Career Development Award in Aging Research). Dr. Hurria's efforts are supported by K23 AG026749-01 (Paul Beeson Career Development Award in Aging Research), and American Society of Clinical Oncology-Association of Specialty Professors-Junior Development Award in Geriatric Oncology.

References:

References
1. Ries LAG, Harkins D, Krapcho M, et al: SEER Cancer Statistics Review, 1975-2003. National Cancer Institute; Bethesda, Md; 2006.
2. Reuben DB, Rubenstein LV, Hirsch SH, et al: Value of functional status as a predictor of mortality: Results of a prospective study. Am J Med 93:663-669, 1992.
3. Balducci L, Beghe C: The application of the principles of geriatrics to the management of the older person with cancer. Crit Rev Oncol Hematol 35:147-154, 2000.
4. Repetto L, Fratino L, Audisio RA, et al: Comprehensive geriatric assessment adds information to Eastern Cooperative Oncology Group performance status in elderly cancer patients: An Italian Group for Geriatric Oncology Study. J Clin Oncol 20:494-502, 2002.
5. Extermann M, Hurria A: Comprehensive geriatric assessment for older patients with cancer. J Clin Oncol 25:1824-1831, 2007.
6. Freyer G, Geay JF, Touzet S, et al: Comprehensive geriatric assessment predicts tolerance to chemotherapy and survival in elderly patients with advanced ovarian carcinoma: A GINECO study. Ann Oncol 16:1795-1800, 2005.
7. Ponzetto M, Maero B, Maina P, et al: Risk factors for early and late mortality in hospitalized older patients: The continuing importance of functional status. J Gerontol A Biol Sci Med Sci 58:1049-1054, 2003.
8. Mor V, Wilcox V, Rakowski W, et al: Functional transitions among the elderly: Patterns, predictors, and related hospital use. Am J Public Health 84:1274-1280, 1994.
9. Maione P, Perrone F, Gallo C, et al: Pretreatment quality of life and functional status assessment significantly predict survival of elderly patients with advanced non-small-cell lung cancer receiving chemotherapy: A prognostic analysis of the multicenter Italian lung cancer in the elderly study. J Clin Oncol 23:6865-6872, 2005.
10. Flood KL, Carroll MB, Le CV, et al: Geriatric syndromes in elderly patients admitted to an oncology-acute care for elders unit. J Clin Oncol 24:2298-2303, 2006.
11. Cohen HJ, Saltz CC, Samsa G, et al: Predictors of two-year post-hospitalization mortality among elderly veterans in a study evaluating a geriatric consultation team. J Am Geriatr Soc 40:1231-1235, 1992.
12. Brach JS, VanSwearingen JM, Newman AB, et al: Identifying early decline of physical function in community-dwelling older women: performance-based and self-report measures. Phys Ther 82:320-328, 2002.
13. Guralnik JM, Simonsick EM, Ferrucci L, et al: A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 49:M85-M94, 1994.
14. Guralnik JM, Ferrucci L, Simonsick EM, et al: Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Engl J Med 332:556-561, 1995.
15. Podsiadlo D, Richardson S: The timed “Up & Go”: A test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 39:142-148, 1991.
16. Studenski S, Perera S, Wallace D, et al: Physical performance measures in the clinical setting. J Am Geriatr Soc 51:314-322, 2003.
17. Perera S, Studenski S, Chandler JM, et al: Magnitude and patterns of decline in health and function in 1 year affect subsequent 5-year survival. J Gerontol A Biol Sci Med Sci 60:894-900, 2005.
18. Malmstrom TK, Wolinsky FD, Andresen EM, et al: Cognitive ability and physical performance in middle-aged African Americans. J Am Geriatr Soc 53:997-1001, 2005.
19. Tabbarah M, Crimmins EM, Seeman TE: The relationship between cognitive and physical performance: MacArthur Studies of Successful Aging. J Gerontol A Biol Sci Med Sci 57:M228-M235, 2002.
20. Fitzpatrick AL, Buchanan CK, Nahin RL, et al: Associations of gait speed and other measures of physical function with cognition in a healthy cohort of elderly persons. J Gerontol A Biol Sci Med Sci 62:1244-1251, 2007.
21. Coppin AK, Shumway-Cook A, Saczynski JS, et al: Association of executive function and performance of dual-task physical tests among older adults: Analyses from the InChianti study. Age Ageing 35:619-624, 2006.
22. Carlson MC, Fried LP, Xue QL, et al: Association between executive attention and physical functional performance in community-dwelling older women. J Gerontol B Psychol Sci Soc Sci 54:S262-S270, 1999.
23. Atkinson HH, Rosano C, Simonsick EM, et al: Cognitive function, gait speed decline, and comorbidities: The health, aging and body composition study. J Gerontol A Biol Sci Med Sci 62:844-850, 2007.
24. Larson EB, Shadlen MF, Wang L, et al: Survival after initial diagnosis of Alzheimer disease. Ann Intern Med 140:501-509, 2004.
25. Hurria A, Goldfarb S, Rosen C, et al: Effect of adjuvant breast cancer chemotherapy on cognitive function from the older patient's perspective. Breast Cancer Res Treat 98:343-348, 2006.
26. Hurria A, Rosen C, Hudis C, et al: Cognitive function of older patients receiving adjuvant chemotherapy for breast cancer: A pilot prospective longitudinal study. J Am Geriatr Soc 54:925-931, 2006.
27. Sirigirireddy V, Boustani M, Hannah N, et al: Post-chemotherapy acute and chronic cognitive deficits. American Geriatrics Society 2007 Annual Scientific Meeting (abstract C130). J Am Geriatr Soc 55(suppl 1):S156, 2007.
28. Folstein MF, Folstein SE, McHugh PR:“Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12:189-198, 1975.
29. Callahan CM, Unverzagt FW, Hui SL, et al: Six-item screener to identify cognitive impairment among potential subjects for clinical research. Med Care 40:771-781, 2002.
30. Sunderland T, Hill JL, Mellow AM, et al: Clock drawing in Alzheimer's disease. A novel measure of dementia severity. J Am Geriatr Soc 37:725-759, 1989.
31. Katzman R, Brown T, Fuld P, et al: Validation of a short
Orientation-Memory-Concentration Test of cognitive impairment. Am J Psychiatry 140:734-739, 1983.
32. Extermann M: Measurement and impact of comorbidity in older cancer patients. Crit Rev Oncol Hematol 35:181-200, 2000.
33. Extermann M, Overcash J, Lyman GH, et al: Comorbidity and functional status are independent in older cancer patients. J Clin Oncol 16:1582-1587, 1998.
34. Balducci L, Extermann M: Management of cancer in the older person: A practical approach. Oncologist 5:224-237, 2000.
35. Extermann M: Studies of comprehensive geriatric assessment in patients with cancer. Cancer Control 10:463-468, 2003.
36. Linjakumpu T, Hartikainen S, Klaukka T, et al: Use of medications and polypharmacy are increasing among the elderly. J Clin Epidemiol 55:809-817, 2002.
37. Corcoran M: Polypharmacy in the older patient with cancer. Cancer Control 4:419-428, 1997.
38. Gross CP, McAvay GJ, Krumholz HM, et al: The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: Implications for screening. Ann Intern Med 145:646-653, 2006.
39. Charlson M, Szatrowski TP, Peterson J, et al: Validation of a combined comorbidity index. J Clin Epidemiol 47:1245-1251, 1994.
40. Charlson ME, Pompei P, Ales KL, et al: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373-383, 1987.
41. Piccirillo JF, Tierney RM, Costas I, et al: Prognostic importance of comorbidity in a hospital-based cancer registry. JAMA 291:2441-2447, 2004.
42. Lee SJ, Lindquist K, Segal MR, et al: Development and validation of a prognostic index for 4-year mortality in older adults. JAMA 295:801-808, 2006.
43. Krumholz H, Chen J, Wang Y, et al: Comparing AMI mortality among hospitals in patients 65 years of age and older. Circulation 99:2986-2992, 1999.
44. Fleming ST, Pearce KA, McDavid K, et al: The development and validation of a comorbidity index for prostate cancer among Black men. J Clin Epidemiol 56:1064-1075, 2003.
45. Byles JE, D'Este C, Parkinson L, et al: Single index of multimorbidity did not predict multiple outcomes. J Clin Epidemiol 58:997-1005, 2005.
46. Lemmens V, Janssen-Heijnen M, Houterman S, et al: Which comorbid conditions predict complications after surgery for colorectal cancer? World J Surg 31:192-99, 2007.
47. Cho CY, Alessi CA, Cho M, et al: The association between chronic illness and functional change among participants in a comprehensive geriatric assessment program. J Am Geriatr Soc 46:677-682, 1998.
48. Guigoz Y: The Mini Nutritional Assessment (MNA) review of the literature-what does it tell us? J Nutr Health Aging 10:466-487 (incl discussion), 2006.
49. Dewys WD, Begg C, Lavin PT, et al: Prognostic effect of weight loss prior to chemotherapy in cancer patients. Eastern Cooperative Oncology Group. Am J Med 69:491-497, 1980.
50. Newman AB, Yanez D, Harris T, et al: Weight change in old age and its association with mortality. J Am Geriatr Soc 49:1309-1318, 2001.
51. Guigoz Y, Vellas B, Garry PJ: Assessing the nutritional status of the elderly: The Mini Nutritional Assessment as part of the geriatric evaluation. Nutr Rev 54:S59-S65, 1996.
52. Field TS, Gurwitz JH, Avorn J, et al: Risk factors for adverse drug events among nursing home residents. Arch Intern Med 161:1629-1634, 2001.
53. Field TS, Gurwitz JH, Harrold LR, et al: Risk factors for adverse drug events among older adults in the ambulatory setting. J Am Geriatr Soc 52:1349-1354, 2004.
54. Seeman TE, Berkman LF, Kohout F, et al: Intercommunity variations in the association between social ties and mortality in the elderly. A comparative analysis of three communities. Ann Epidemiol 3:325-335, 1993.
55. Osborn DP, Fletcher AE, Smeeth L, et al: Performance of a single screening question for depression in a representative sample of 13 670 people aged 75 and over in the UK: Results from the MRC trial of assessment and management of older people in the community. Fam Pract 20:682-684, 2003.
56. Mahoney J, Drinka TJ, Abler R, et al: Screening for depression: Single question versus GDS. J Am Geriatr Soc 42:1006-1008, 1994.
57. Chochinov HM, Wilson KG, Enns M, et al: “Are you depressed?” Screening for depression in the terminally ill. Am J Psychiatry 154:674-676, 1997.
58. Stuck AE, Siu AL, Wieland GD, et al: Comprehensive geriatric assessment: A meta-analysis of controlled trials. Lancet 342:1032-1036, 1993.
59. Cohen HJ, Feussner JR, Weinberger M, et al: A controlled trial of inpatient and outpatient geriatric evaluation and management. N Engl J Med 346:905-912, 2002.
60. Hurria A, Gupta S, Zauderer M, et al: Developing a cancer-specific geriatric assessment: A feasibility study. Cancer 104:1998-2005, 2005.
61. Ingram SS, Seo PH, Martell RE, et al: Comprehensive assessment of the elderly cancer patient: The feasibility of self-report methodology. J Clin Oncol 20:770-775, 2002.
62. Hurria A, Lichtman SM, Gardes J, et al: Identifying vulnerable older adults with cancer: Integrating geriatric assessment into oncology practice. J Am Geriatr Soc 55:1604-1608, 2007.
63. Overcash J, Extermann M, Parr J, et al: Validity and reliability of the FACT-G scale for use in the older person with cancer. Am J Clin Oncol 24:591-596, 2001.
64. Carey EC, Walter LC, Lindquist K, et al: Development and validation of a functional morbidity index to predict mortality in community-dwelling elders. J Gen Intern Med 19:1027-1033, 2004.
65. Newman AB, Simonsick EM, Naydeck BL, et al: Association of long-distance corridor walk performance with mortality, cardiovascular disease, mobility limitation, and disability. JAMA 295:2018-2026, 2006.