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Here - American Geriatrics Society

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P APER<br />

A BSTRACTS<br />

Paper Session<br />

Clinical Decision-Making<br />

Thursday, May 3<br />

7:30 am – 9:00 am<br />

P1<br />

Lagtime to Benefit for Colorectal Cancer Screening: A Survival<br />

Meta-Analysis.<br />

S. J. Lee, 1 W. J. Boscardin, 1,2 I. Stijacic-Cenzer, 1,2 J. Conell-Price, 1<br />

S. O’Brien, 1 L. C. Walter. 1,2 1. Division of <strong>Geriatrics</strong>, SFVAMC, UCSF,<br />

San Francisco, CA; 2. Department of Epidemiology and Biostatistics,<br />

University of California, San Francisco, San Francisco, CA.<br />

Supported By: Dr. Sei Lee was supported by Hartford <strong>Geriatrics</strong><br />

Health Outcomes Research Scholars Award, the Hellman Family<br />

Award for Early Career Faculty at UCSF and the KL2RR024130<br />

from the National Center for Research Resources, a component of<br />

the NIH.<br />

Dr. Louise Walter was supported by R01CA134425 from the<br />

National Cancer Institute, which was administered by the Northern<br />

California Institute for Research and Education.<br />

This work was supported with resources of the Veterans Affairs<br />

Medical Center, San Francisco, California.<br />

Background: Guidelines recommend targeting colorectal cancer<br />

(CRC) screening to healthy patients whose life expectancy exceeds<br />

the cancer screening’s lagtime to benefit (i.e. time between screening<br />

and when the benefits of screening are seen). However, the lagtime of<br />

CRC screening is uncertain. Our goal was to determine a pooled,<br />

quantitative estimate of the lagtime to benefit for CRC screening<br />

from randomized controlled trial (RCT) data.<br />

Methods: We conducted a survival meta-analysis of CRC<br />

screening RCTs focusing on older patients (age greater than 50) identified<br />

by Cochrane and USPSTF reviews as high quality. Four population-based<br />

RCTs of fecal occult blood testing from Denmark, England,<br />

Sweden, and the United States (n=327,043) were included in<br />

our meta-analysis.<br />

Results: 4.9 years (95%CI: 2.1 to 9.5) passed before one CRC<br />

death was prevented for 5000 persons screened (absolute risk reduction<br />

or ARR=0.0002). It took 10.4 years (95%CI: 6.1 to 16.6) before<br />

one CRC death was prevented for 1000 persons screened<br />

(ARR=0.001) and 14.6 years (95%CI: 9.7 to 21.2) for 2 CRC deaths<br />

to be prevented for 1000 persons screened (ARR=0.002).<br />

Conclusions:The lagtime to prevent one CRC death per 1000 persons<br />

screened is 10.4 years suggesting that CRC screening should be<br />

targeted toward patients with a life expectancy greater than ten years.<br />

P2<br />

Preferences for Deactivation of Implantable Cardioverter<br />

Defibrillators in the Setting of Advanced Illness.<br />

J. A. Dodson, 1 T. Fried, 1 P. H. Van Ness, 1 N. Goldstein, 2 R. Lampert. 1<br />

1. Yale University School of Medicine, New Haven, CT; 2. Mount Sinai<br />

School of Medicine, New York, NY.<br />

Background: Some implantable cardioverter defibrillator (ICD)<br />

recipients with advanced illness receive painful shocks at the end of<br />

life. The purpose of our study was to explore preferences for ICD deactivation<br />

in the setting of hypothetical advanced illness.<br />

Methods: We conducted a cross-sectional telephone survey of<br />

patients age ≥50 with ICDs followed in a single electrophysiology<br />

practice in New Haven, CT. Sociodemographic and clinical characteristics,<br />

as well as self-reported functional status, were obtained. Patients<br />

were then asked whether they would opt for ICD deactivation<br />

in five distinct scenarios: (1) permanently unable to get out of bed, (2)<br />

permanent memory problems, (3) burden to family members, (4) on<br />

breathing machine >1 month, (5) advanced incurable disease. Patients<br />

who answered “possibly yes” or “definitely yes” to any scenario<br />

were categorized as considering deactivation.<br />

Results: Surveys were completed in 100 patients. Mean age was 71<br />

years, 28% were female, and 18% were nonwhite.Among respondents,<br />

71 patients (71%) would consider ICD deactivation in one or more<br />

scenarios. Responses varied considerably by scenario. Patients considered<br />

deactivation most often in the setting of advanced incurable disease<br />

(61%), and least often if permanently unable to get out of bed<br />

(25%) (Figure). Patients were more likely to consider deactivation if<br />

they were white, had not received a prior ICD shock, or were disabled.<br />

Conclusions: The majority of patients with ICDs would consider<br />

deactivation in at least one scenario reflecting advanced illness.This preference<br />

was most common in the setting of incurable disease, but also not<br />

uncommon in the setting of cognitive impairment or burden to family.<br />

P3 Encore Presentation<br />

Self-rated Health and Walking Ability Predict 10-year Mortality in<br />

Older Women with Breast Cancer.<br />

J. A. Eng, 1,2 K. M. Clough-Gorr, 3,4 R. A. Silliman. 1,2 1. Medicine-<br />

<strong>Geriatrics</strong>, Boston University School of Medicine, Boston, MA; 2.<br />

Boston University School of Public Health, Boston, MA; 3. Institute<br />

of Social and Preventive Medicine, University of Bern, Bern,<br />

Switzerland; 4. National Institute for Cancer Epidemiology and<br />

Registration, Institute of Social and Preventive Medicine, University of<br />

Zurich, Zurich, Switzerland.<br />

Supported By: John A. Hartford Foundation, Health Resources and<br />

Services Administration (D01HP08796-05-00), National Institutes of<br />

Health (K05 CA92395), National Cancer Institute (R01 CA106979,<br />

R01 CA/AG 70818, R01 CA84506)<br />

Background: Self-rated health (SRH) and mobility predict mortality<br />

in general populations but have not been well-studied in older<br />

women with breast cancer. Methods: Women aged ≥65 years with primary<br />

stage I-IIIA breast cancer were enrolled at 4 sites. Data were<br />

collected over 10 years from medical records, annual interviews, and<br />

AGS 2012 ANNUAL MEETING<br />

S1

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