Volume 57, Issue 3 p. 492-498

A Comparison of Frailty Indexes for the Prediction of Falls, Disability, Fractures, and Mortality in Older Men

Kristine E. Ensrud MD, MPH

Kristine E. Ensrud MD, MPH

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Susan K. Ewing MS

Susan K. Ewing MS

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Peggy M. Cawthon PhD

Peggy M. Cawthon PhD

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Howard A. Fink MD, MPH

Howard A. Fink MD, MPH

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Brent C. Taylor PhD

Brent C. Taylor PhD

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Jane A. Cauley DrPH

Jane A. Cauley DrPH

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Thuy-Tien Dam MD

Thuy-Tien Dam MD

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Lynn M. Marshall ScD

Lynn M. Marshall ScD

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Eric S. Orwoll MD

Eric S. Orwoll MD

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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Steven R. Cummings MD

Steven R. Cummings MD

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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for the Osteoporotic Fractures in Men Research Group

for the Osteoporotic Fractures in Men Research Group

From the * Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California § Research Institute, California Pacific Medical Center, San Francisco, California Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, California ** Bone and Mineral Unit, Department of Medicine; and †† Division of Epidemiology, Department of Public Health and Preventive Medicine, Oregon Health Sciences University, Portland, Oregon.

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First published: 03 March 2009
Citations: 452
Address correspondence to Kristine E. Ensrud, VA Medical Center, One Veterans Drive, General Internal Medicine (111-0), Minneapolis, MN 55417. E-mail: [email protected]

Abstract

OBJECTIVES: To compare the validity of a parsimonious frailty index (components: weight loss, inability to rise from a chair, and poor energy (Study of Osteoporotic Fractures (SOF) index)) with that of the more complex Cardiovascular Health Study (CHS) index (components: unintentional weight loss, low grip strength, poor energy, slowness, and low physical activity) for prediction of adverse outcomes in older men.

DESIGN: Prospective cohort study.

SETTING: Six U.S. centers.

PARTICIPANTS: Three thousand one hundred thirty-two men aged 67 and older.

MEASUREMENTS: Frailty status categorized as robust, intermediate stage, or frail using the SOF index and criteria similar to those used in CHS index. Falls were reported three times for 1 year. Disability (≥1 new impairments in performing instrumental activities of daily living) ascertained at 1 year. Fractures and deaths ascertained during 3 years of follow-up. Analysis of area under the receiver operating characteristic curve (AUC) statistics compared for models containing the SOF index versus those containing the CHS index.

RESULTS: Greater evidence of frailty as defined by either index was associated with greater risk of adverse outcomes. Frail men had a higher age-adjusted risk of recurrent falls (odds ratio (OR)=3.0–3.6), disability (OR=5.3–7.5), nonspine fracture (hazard ratio (HR)=2.2–2.3), and death (HR=2.5–3.5) (P<.001 for all models). AUC comparisons revealed no differences between models with the SOF index and models with the CHS index in discriminating falls (AUC=0.63, P=.97), disability (AUC=0.68, P=.86), nonspine fracture (AUC=0.63, P=.90), or death (AUC=0.71 for model with SOF index and 0.72 for model with CHS index, P=.19).

CONCLUSION: The simple SOF index predicts risk of falls, disability, fracture, and mortality in men as well as the more-complex CHS index.