Dynamic frailty risk assessment among older adults with multiple myeloma: A population-based cohort study.

Multiple myeloma (MM) is a cancer of older adults and those who are more frail are at high risk of poor outcomes. Current tools for identifying and categorizing frail patients are often static and measured only at the time of diagnosis. The concept of dynamic frailty (i.e. frailty changing over time) is largely unexplored in MM. In our study, adults with newly-diagnosed MM who received novel drugs between the years 2007-2014 were identified in the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked databases. Using a previously published cumulative deficit approach, a frailty index score was calculated at diagnosis and each landmark interval (1-yr, 2-yr, 3-yr post diagnosis). The association of frailty with overall survival (OS) both at baseline and at each landmark interval as well as factors associated with worsening frailty status over time were evaluated. Overall, 4617 patients were included. At baseline, 39% of the patients were categorized as moderately frail or severely frail. Among those who had 3 years of follow-up, frailty categorization changed post diagnosis in 93% of the cohort (78% improved and 72% deteriorated at least at one time point during the follow up period). In a landmark analysis, the predictive ability of frailty at the time of diagnosis decreased over time for OS (Harrell's C Statistic 0.65 at diagnosis, 0.63 at 1-yr, 0.62 at 2-yr, and 0.60 at 3-yr) and was inferior compared to current frailty status at each landmark interval. Our study is one of the first to demonstrate the dynamic nature of frailty among older adults with MM. Frailty may improve or deteriorate over time. Current frailty status is a better predictor of outcomes than frailty status at time of diagnosis, indicating the need for re-measurement in this high-risk patient population.

Integrating Geriatric Assessment Measures into National Cancer Institute Clinical Trials.

To improve the care of older adults with cancer, the traditional approach to clinical trial design needs to be reconsidered. Older adults are underrepresented in clinical trials with limited or no information on geriatric-specific factors, such as cognition or comorbidities. To address this knowledge gap and increase relevance of therapeutic clinical trial results to the real-life population, integration of aspects relevant to older adults is needed in oncology clinical trials. Geriatric assessment (GA) is a multidimensional tool comprising validated measures assessing specific health domains that are more frequently affected in older adults, including aspects related to physical function, comorbidity, medication use (polypharmacy), cognitive and psychological status, social support, and nutritional status. There are several mechanisms for incorporating either the full GA or specific GA measures into oncology therapeutic clinical trials to contribute to the overarching goal of the trial. Mechanisms include utilizing GA measures to better characterize the trial population, define trial eligibility, allocate treatment receipt within the context of the trial, develop predictive models for treatment outcomes, guide supportive care strategies, personalize care delivery, and assess longitudinal changes in GA domains. The objective of this manuscript is to review how GA measures can contribute to the overall goal of a clinical trial, to provide a framework to guide the selection and integration of GA measures into clinical trial design, and ultimately enable accrual of older adults to clinical trials by facilitating the design of trials tailored to older adults treated in clinical practice.

Communication About Fall Risk in Community Oncology Practice: The Role of Geriatric Assessment.

PURPOSE: Falls are a modifiable source of morbidity for older adults with cancer, yet are underassessed in oncology practice. In this secondary analysis of a nationwide cluster-randomized controlled trial, we examined characteristics associated with patient-oncologist conversations about falls, and whether oncologist knowledge of geriatric assessment (GA) resulted in more conversations. METHODS: Eligible patients (ClinicalTrials.gov identifier: NCT02107443) were age ≥ 70 years, had stage III/IV solid tumor or lymphoma, were being treated with noncurative treatment intent, and ≥ 1 GA domain impairment. Patients in both arms underwent GA. At practices randomly assigned to the intervention arm, oncologists were provided a GA summary with management recommendations. In both arms, patients had one clinical encounter audio-recorded, transcribed, and coded to categorize whether a conversation about falls occurred. Generalized linear mixed models adjusted for arm, practice site, and other important covariates were used to generate proportions and odds ratios (ORs) from the full sample. RESULTS: Of 541 patients (intervention N = 293 and usual care N = 248, mean age: 77 years, standard deviation: 5.3), 528 had evaluable audio recordings. More patients had conversations about falls in the intervention versus usual care arm (61.3% v 10.3%, P < .001). Controlling for the intervention and practice site, history of falls (OR, 2.1; 95% CI, 1.3 to 3.6; P = .005) and impaired physical performance (OR, 4.7; 95% CI, 1.7 to 12.8; P = .002) were significantly associated with patient-oncologist conversations about falls. CONCLUSION: GA intervention increased conversations about falls. History of falls and impaired physical performance were associated with patient-oncologist conversations about falls in community oncology practice.

Development and validation of a prediction model for 1-year mortality among older adults with Hodgkin Lymphoma who receive dose-intense chemotherapy.

BACKGROUND: Older adults with Hodgkin Lymphoma (HL) have poorer outcomes than younger patients. There are little data about which baseline patient and disease factors inform prognosis among older patients. We sought to create a prediction model for 1-year mortality among older patients with new HL who received dose-intense chemotherapy. METHODS: We included adults ≥65 years old with a new diagnosis of classical HL between 2000-2013 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare dataset who received full-regimen chemotherapy. Through a non-random 2:1 split, we created development and validation cohorts. Multiple imputation was used for missing data. Using stepwise selection and logistic regression, we identified predictive variables for 1-year mortality. The model was applied to the validation cohort. A final model was then fit in the full cohort. RESULTS: We included 1315 patients. In the development cohort (n = 813), we identified significant predictors of 1-year mortality including age, Charlson comorbidity index (CCI), B symptoms at diagnosis, and advanced stage at diagnosis. The c-statistic was 0.70. When this model was applied to the validation cohort (n = 502), the c-statistic was 0.65. Predictors of 1-year mortality in the final model were CCI (OR = 1.41), B symptoms (OR = 1.54), advanced stage (OR = 1.44), and older age at diagnosis (OR = 1.33). CONCLUSION: We present a prediction model for use among older adults with HL who receive intensive chemotherapy. We identify risk factors for death within 1 year of diagnosis. Future work will build upon prognostication and shared decision-making after diagnosis for this population.

A deficit-accumulation frailty index predicts survival outcomes in patients with gynecologic malignancy.

OBJECTIVE: To determine the association between scores from a 25-item patient-reported Rockwood Accumulation of Deficits Frailty Index (DAFI) and survival outcomes in gynecologic cancer patients. METHODS: A frailty index was constructed from the SEER-MHOS database. The DAFI was applied to women age ≥ 65 diagnosed with all types of gynecologic cancers between 1998 and 2015. The impact of frailty status at cancer diagnosis on overall survival (OS) was analyzed using Kaplan-Meier curves and Cox proportional hazards regression. RESULTS: In this cohort (n = 1336) the median age at diagnosis was 74 (range 65-97). Nine hundred sixty-two (72%) women were Caucasian and 132 (10%) were African-American. Overall, 651(49%) of patients were considered frail. On multivariate analysis, frail patients had a 48% increased risk for death (aHR 1.48; 95% CI 1.29-1.69; P < 0.0001). Each 10% increase in frailty index was associated with a 16% increased risk of death (aHR, 1.16; 95% CI, 1.11 to 1.21; P < 0.0001). In subgroup analyses of the varying cancer types, the association of frailty status with prognosis was fairly consistent (aHR 1.15-2.24). The DAFI was more prognostic in endometrial (aHR 1.76; 95% CI 1.41-2.18, P < 0.0001) and vaginal/vulvar (aHR 1.94; 95% CI 1.34-2.81, P = 0.0005) cancers as well as patients with loco-regional disease (aHR 1.94; 95% CI 1.62-2.33, P < 0.0001). CONCLUSIONS: Frailty appears to be a significant predictor of mortality in gynecologic cancer patients regardless of chronological age. This measure of functional age may be of particular utility in women with loco-regional disease only who otherwise would have a favorable prognosis.

Bortezomib in first-line therapy is associated with falls in older adults with multiple myeloma.

BACKGROUND: Bortezomib is a common multiple myeloma therapy that can cause treatment-related peripheral neuropathy, a risk factor for falls. The relationship between bortezomib and falls in older patients with multiple myeloma is unknown. METHODS: We analyzed the SEER-Medicare database for patients aged 65 or older diagnosed with multiple myeloma between 2007 and 2013. Claims were analyzed for myeloma treatments, falls, and covariates of interest. We evaluated accidental falls occurring within 12 months after starting first-line multiple myeloma treatment with bortezomib. RESULTS: Bortezomib was used in first-line therapy for 2052 older adults with new diagnoses of multiple myeloma. Claims for falls were reported in 157 (8%) patients within 12 months after starting bortezomib, compared to 102 (5%) patients not receiving bortezomib (p < 0.001). Bortezomib was associated with a 36% increased risk of falls after controlling for covariates (aHR 1.36; 95% CI 1.05-1.75; p = 0.018). In a landmark analysis of those who survived 12 months after starting treatment, the median overall survival of those with a fall was 35.7 months compared to 49.1 months for those without (p < 0.0001). A fall in the first year after diagnosis was associated with a 26% increased risk in hazard for death (aHR 1.26; 95% CI 1.02-1.56; p = 0.033). CONCLUSION: In older adults with multiple myeloma, bortezomib was associated with an increased risk of having a diagnostic code for falls. Decreased overall survival was seen in those who fell within the year of starting therapy. Prospective trials involving fall assessments and fall-prevention interventions are needed in this population.

Burden of Treatment Among Older Adults With Newly Diagnosed Multiple Myeloma.

BACKGROUND: Multiple myeloma is an incurable hematologic malignancy with significant recent treatment advances; however, the magnitude of treatment burden among patients in the first year after diagnosis has yet to be fully researched and reported. PATIENTS AND METHODS: Patients with multiple myeloma newly diagnosed between 2007 and 2013 were identified in the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked databases. Treatment burden was captured as the number of total days with a health care encounter (including acute care and outpatient visits), oncology and nononcology physician visits, and the number of new prescriptions within the first year after diagnosis. Logistic regression was used to identify factors associated with high treatment burden. RESULTS: A total of 3065 patients were included in the analysis. There was a substantial burden of treatment within the first year after diagnosis (median, 77 days; interquartile range, 55-105 days), which was highest during the first 3 months. Patients with high comorbidities (adjusted odds ratio [aOR] 1.27 per 1-point increase in Charlson comorbidity index, P < .001), poor performance status (aOR 1.85, P < .001), myeloma-related end organ damage, particularly bone disease (aOR 2.28, P < .001), and those who underwent autologous stem-cell transplantation (aOR 2.41, P < .001) were more likely to have a higher treatment burden. CONCLUSION: There is considerable burden of treatment in patients with newly diagnosed multiple myeloma within the first year after diagnosis, particularly within the first 3 months. Future tailored interventions aimed at optimizing this treatment burden when possible while simultaneously providing support to manage it may improve patient-centered care.

Geriatric assessment and quality of life changes in older adults with newly diagnosed multiple myeloma undergoing treatment.

OBJECTIVE: Multiple myeloma (MM) is a cancer of older adults with a median age at diagnosis of 70 years. Our study aimed to understand the changes that occurred in geriatric domains and quality of life parameters as older adults underwent treatment for MM over 6-months following initial diagnosis. METHODS: This was a secondary analysis of a prospective cohort study of 40 adults aged ≥65 with newly-diagnosed MM who completed the Cancer and Aging Research Group geriatric assessment and the Functional Assessment of Cancer Therapy (General and subscale Gynecologic Oncology Group-Neurotoxicity) quality of life tool at baseline and at 6 months following treatment initiation. RESULTS: Thirty-six participants completed 6-months of follow-up. There was no significant change in geriatric domains, including dependence in instrumental activities of daily living (IADLs). Compared to baseline, mental health improved at 6-months of follow-up (Mental Health Inventory-17 score, median 77.1 versus 84.3 at baseline and 6-months respectively, p < .001). Objective physical performance as measured by the Timed Up and Go test showed a trend towards improvement (12.3 versus 11.0 s, p = .057) and remained stable or improved in almost all (30/32, 93.8%) of the adults using the minimum clinically important difference threshold. CONCLUSION: From baseline to 6-months of follow-up, older adults with MM showed improvement in mental health but otherwise remained stable with regards to function and overall quality of life. Timed Up and Go Test may provide a dynamic indicator of functional status and needs to be further evaluated in future studies.

The characteristics, treatment patterns, and outcomes of older adults aged 80 and over with multiple myeloma.

OBJECTIVES: Tremendous progress has been made in the treatment of multiple myeloma; however, the majority of this success has been demonstrated in younger patients. With 36% of patients >80 years-old at diagnosis, it is important to understand if older patients are receiving similar benefits. MATERIALS AND METHODS: We identified 2155 patients diagnosed with myeloma at age 80 or older in the Surveillance, Epidemiology, and End Results Program (SEER)-Medicare database from 2007 to 2013. A cohort of 2933 similar patients diagnosed with myeloma at age 70-79 was used for comparison using a difference-in-differences design. RESULTS: Only 51% of patients >80 years-old at diagnosis received systemic anti-myeloma treatment. Treatment was associated with a 26% decrease in hazard for death, independent of age, race, gender, poverty, comorbidities, and proxy measures of performance status. In the 70-79 cohort, treatment was associated with a 22% decrease in hazard for death. Based on the difference-in-differences design, there is no statistically significant difference in treatment benefit based on age cohort (p = .610). CONCLUSIONS: Anti-myeloma treatment produces a similar survival benefit among the oldest patients. The population over 80, when myeloma incidence peaks, is projected to triple over the next few decades. It is imperative that we continue to advance our understanding of the needs of this vulnerable subgroup of patients with myeloma.

Screening for cognitive impairment in older adults with hematological malignancies using the Montreal Cognitive Assessment and neuropsychological testing.

OBJECTIVES: The primary objective of the current study is to describe the prevalence and profile of cognitive domains affected in older adults with hematological malignancies evaluated for hematopoietic cell transplantation (HCT) using the Montreal Cognitive Assessment (MoCA) and neuropsychological tests. The secondary objective is to determine if a specific MoCA cut-off score would correlate with the identification of cognitive impairment detected by neuropsychological tests. This would facilitate interpretation of cognitive screening and referral of patients who would likely need further neuropsychological testing. MATERIALS AND METHODS: Fifty-one patients 60 years and older who were evaluated for HCT were assessed using a battery of standardized neuropsychological tests and MoCA. We analyzed Receiver Operating Characteristics (ROC) comparing MoCA scores and four different neuropsychological test criteria for cognitive impairment. RESULTS: The prevalence of cognitive impairment detected by neuropsychological tests was 53 to 70.6% using the criteria for patients with cancer by the International Cancer Cognition Task Force (ICCTF). The following cognitive domains were most affected: language, learning and memory, visuospatial skills, and executive function. MoCA is an appropriate screening test for cognitive impairment. Using the ICCTF criteria, 86 to 100% of patients are correctly classified as having significant cognitive impairment on neuropsychological tests using a cut-off score of 20 or less. CONCLUSION: There is a high prevalence of cognitive impairment identified by neuropsychological tests in older patients with hematological malignancies evaluated for HCT. Identification of an appropriate MoCA cut-off score in this population is important to identify patients who would benefit from further assessment.

Measuring cardiopulmonary complications of carfilzomib treatment and associated risk factors using the SEER-Medicare database.

BACKGROUND: Carfilzomib improves survival in patients with recurrent myeloma. Given the strict eligibility criteria in clinical trials, the actual frequency of cardiac adverse events (CAEs) and pulmonary adverse events (PAEs) and the risk factors associated with these AEs in the general population need to be established. METHODS: The authors extracted myeloma cases in the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database from 2000 through 2013 and corresponding claims through 2014. They then identified patients who received carfilzomib during their disease course. Subsequently, the International Classification of Diseases, Ninth Revision (ICD-9) was used to identify all the codes for CAEs, PAEs, and respiratory infections associated with carfilzomib use. Preexisting diagnoses corresponding to the CAEs and PAEs of interest were excluded to distinguish toxicity from comorbidity. Multivariate Cox regression was performed to determine those variables independently associated with the development of CAEs and PAEs. RESULTS: Of the 635 patients analyzed, the median age was 72 years (range, 36-94 years); 55% of the patients were male and 79% were white. The median duration of carfilzomib treatment was 58 days (range, 1-716 days). Overall, approximately 66% of the patients had codes for either CAEs or PAEs. In terms of CAEs, approximately 22% of patients developed hypertension, 15% developed peripheral edema, and 14% experienced heart failure. With regard to PAEs, approximately 28% of patients developed dyspnea, 15% developed cough, and 15% developed pneumonia. Only chronic obstructive pulmonary disease (COPD) was found to be independently associated with the development of CAEs. Patients with preexisting COPD were found to have a 40% increase in their hazard of developing CAEs (adjusted hazard ratio, 1.40; 95% CI, 1.03-1.90). CONCLUSIONS: In older adults with myeloma who are undergoing treatment with carfilzomib, new cardiac and pulmonary diagnoses were common. Patients with preexisting COPD were found to be at an increased risk of developing CAEs.

Cost differential associated with hospice use among older patients with multiple myeloma.

BACKGROUND: Hospice is an effective end-of-life care approach for patients with incurable illnesses such as multiple myeloma; however, it has been historically underutilized. In addition to improving quality of life, hospice enrollment reduces healthcare spending in many incurable illnesses but this has been unstudied in the myeloma population to date. MATERIAL AND METHODS: Retrospective analysis of myeloma cases diagnosed from 2007 to 2013 in the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked dataset. Included patients were: diagnosed at age 65 or older, received myeloma-directed therapy, had an overall survival >3 months, and were enrolled in Medicare the month preceding death. Costs included those paid by Medicare and patient copays during the 30 days preceding death. RESULTS: 2075 patients were included in the analysis. 56% were enrolled in hospice at end of life. Increasing age and female gender were associated with greater odds of hospice enrollment. Non-white race, Medicaid enrollment, and increasing comorbidities were associated with decreased odds. Hospice enrollment was associated with a $13,574 (p < .0001) decrease in costs; however, the maximal savings were observed by those enrolled >14 days prior to death. CONCLUSION: While improving quality of life should be the ultimate reason for increasing hospice utilization among patients with myeloma, there seems to be considerable cost implications as well.

Predicting venous thromboembolism in multiple myeloma: development and validation of the IMPEDE VTE score.

Venous thromboembolism (VTE) is a common cause of morbidity and mortality among patients with multiple myeloma (MM). The International Myeloma Working Group (IMWG) developed guidelines recommending primary thromboprophylaxis, in those identified at high-risk of VTE by the presence of risk factors. The National Comprehensive Cancer Network (NCCN) has adopted these guidelines; however, they lack validation. We sought to develop and validate a risk prediction score for VTE in MM and to evaluate the performance of the current IMWG/NCCN guidelines. Using 4446 patients within the Veterans Administration Central Cancer Registry, we used time-to-event analyses to develop a risk score for VTE in patients with newly diagnosed MM starting chemotherapy. We externally validated the score using the Surveillance, Epidemiology, End Results (SEER)-Medicare database (N = 4256). After identifying independent predictors of VTE, we combined the variables to develop the IMPEDE VTE score (Immunomodulatory agent; Body Mass Index ≥25 kg/m2 ; Pelvic, hip or femur fracture; Erythropoietin stimulating agent; Dexamethasone/Doxorubicin; Asian Ethnicity/Race; VTE history; Tunneled line/central venous catheter; Existing thromboprophylaxis). The score showed satisfactory discrimination in the derivation cohort, c-statistic = 0.66. Risk of VTE significantly increased as score increased (hazard ratio 1.20, P = <.0001). Within the external validation cohort, IMPEDE VTE had a c-statistic of 0.64. For comparison, when evaluating the performance of the IMWG/NCCN guidelines, the c-statistic was 0.55. In summary, the IMPEDE VTE score outperformed the current IMWG/NCCN guidelines and could be considered as the new standard risk stratification for VTE in MM.

Geriatric Assessment and Frailty Scores Predict Mortality in Myeloma: Systematic Review and Meta-analysis.

The incidence of multiple myeloma is increasing as the proportion of older adults is growing rapidly. A critical evaluation of the evidence available is needed to guide the management of older patients with myeloma. A systematic review was conducted to report the prognostic value of geriatric assessment and frailty scores in older patients with multiple myeloma. We conducted a literature search in February and August 2018. Two researchers extracted the data and assessed the quality of the studies. Geriatric assessment and frailty scores were defined as those evaluating at least 2 geriatric domains. Main outcomes were mortality or toxicity. We estimated the pooled hazard ratios (HR) with 95% confidence intervals (CIs) using a random-effects model. We screened titles and abstracts of 1672 citations for eligibility. Seven studies were included in the qualitative analysis, of which 3 were included in the meta-analysis. Two studies reported similar risks of hematologic adverse events in intermediate-fit and in frail patients compared to frail, but a significantly increased risk of nonhematologic adverse events in frail patients compared to fit patients. In meta-analysis, a significantly increased HR for death was observed in patients with activity of daily living score ≤ 4 (pooled HR = 1.576; 95% CI, 1.051-2.102; χ2 = 0.87; P = .647; I2 = 0). Patients classified as frail showed higher risk of death than fit patients (pooled HR = 2.169; 95% CI, 1.002-2.336; χ2 = 3.02; P = .221; I2 = 33.7%). GA and frailty score are effective in predicting mortality in older adults with myeloma.

Geriatric Assessment in Older Adults with Multiple Myeloma.

BACKGROUND/OBJECTIVES: The incidence of myeloma in older adults is increasing, yet little is known about geriatric impairments in these patients. We aimed to examine the prevalence of geriatric impairments in older adults with myeloma and the association between geriatric assessment and autologous stem cell transplant eligibility. DESIGN: Prospective cohort study. SETTING: Two academic medical centers. PARTICIPANTS: A total of 40 adults 65 years and older with newly diagnosed myeloma were enrolled. MEASUREMENT: Participants completed a primarily self-administered geriatric assessment, including measures of functional status, comorbidities, polypharmacy, psychosocial status, social support, quality of life, cognition, and physical performance. Outcomes were autologous stem cell transplant eligibility and receipt. RESULTS: Forty patients enrolled; their mean age was 71 years. Geriatric impairments were common: 62% reported dependence in one or more instrumental activities of daily living (IADL), 76.9% had polypharmacy (four or more medications), and 47.5% had one or more comorbidities. Median time on the Timed Up and Go was 13.3 ± 4.9 seconds. Those considered candidates for autologous stem cell transplant (N = 26) were younger, with fewer comorbidities, better performance status, and faster performance on the Timed Up and Go test. Factors independently associated with receiving autologous stem cell transplant (N = 21) included age and IADL dependence. CONCLUSION: Impairments in geriatric domains are common in this population, even among those considered to have a good performance status. Geriatric assessment domains are associated with both transplant eligibility and receipt. J Am Geriatr Soc 67:987-991, 2019.

Use of a comprehensive frailty assessment to predict morbidity in patients with multiple myeloma undergoing transplant.

Multiple myeloma (MM) is a disease of aging adults and autologous stem cell transplant (ASCT) is considered the standard of care. As the population ages a growing number of older adults will undergo ASCT and an objective approach to estimate physiologic reserve and transplant morbidity risk is warranted. Here, we evaluate assess p16INK4a (p16), a molecular aging biomarker, along with geriatric metrics to determine risk of transplant toxicity. METHODS: We prospectively evaluated 100 MM patients for frailty before and after ASCT using a Geriatric Assessment (GA) and collected T-cells for analysis of p16 using a custom nanostring codeset. RESULTS: Pre-transplant physical function was predicative of hospital length of stay (LOS). Each one-unit increase in physical function score, the average LOS decreased by 0.52 days (95% CI, -1.03-0.02); p = .04). Similarly, higher self-report of ADL/IADL (Human Activity Profile was associated with shorter LOS (0.65 less days (95% CI -1.15 to -0.15), p = .01). Patients with anxiety/depression (OR = 1.10 (95% CI 1.00-1.22), p = .056), lower handgrip strength (OR = 0.90 (95% CI 0.82-0.98), p = .02), falls (OR = 1.60 (95% CI 1.07-2.38), p = .02), or weight loss (OR = 5.65 (95% CI 1.17-25.24), p = .03) were more likely to be re-admitted. The estimated EFS at 1-year was 85% (95% CI, 75-91) with median follow-up of 15.7 months. Weight loss was a significant predictor of EFS (HR = 3.13 (95% CI 1.15-8.50), p = .03). Frailty assessment by self-reported fatigue minimally correlated with T-cell p16 expression (r = 0.28; p = .02). Age, Karnofsky Performance Status (KPS), or Hematopoietic cell transplantation-specific Co-Morbidity Index (HCT-CI) did not predict hospital LOS or readmissions. CONCLUSIONS: Our data illustrate that a GA can identify individuals with MM who are at greater risk for morbidity following ASCT.

Development of a Medicare Health Outcomes Survey Deficit-Accumulation Frailty Index and Its Application to Older Patients With Newly Diagnosed Multiple Myeloma.

Purpose: To develop a frailty index using the Rockwood Accumulation of Deficits approach for the Medicare Health Outcomes Survey (MHOS) and apply it in a subset of older patients with newly diagnosed multiple myeloma. Methods: Data from 2,692,361 patients without cancer, > 66 years of age, in SEER-MHOS linked databases between 1998 and 2009 were analyzed. A frailty index was constructed, resulting in a 25-item scale; cutoff values were created for individuals classified as frail. This frailty index was then applied to 305 patients with newly diagnosed myeloma in the database to predict overall survival. Results: In the derivation cohort of patients without cancer, the median age was 74 years and the mean frailty index was 0.23 (standard deviation, 0.17). Among patients without cancer, each 10% increase in frailty index (approximately three to four more deficits) was associated with a 40% increased risk for death (adjusted hazard ratio, 1.397; 95% CI, 1.396 to 1.399; P < .001). In the cohort of patients with newly diagnosed myeloma, the median age was 76 years an d the mean frailty index was 0.28 (standard deviation, 0.17). Each 10% increase in frailty index was associated with a 16% increased risk for death (adjusted hazard ratio, 1.159; 95% CI, 1.080 to 1.244; P < .001). Fifty-three percent of patients with multiple myeloma were considered frail. The estimated median overall survival of patients considered frail was 26.8 months, compared with 43.7 months (P = .015) for those who were not. Conclusion: The MHOS-based frailty index was prognostic for patients with multiple myeloma in predicting overall survival.