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Annual Meeting Proceedings Part 1 - American Society of Clinical ...

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6118 General Poster Session (Board #11C), Mon, 1:15 PM-5:15 PM<br />

Influence <strong>of</strong> hospital characteristics on immediate breast reconstruction<br />

following mastectomy. Presenting Author: Catherine A. Richards, Mailman<br />

School <strong>of</strong> Public Health, Columbia University, New York, NY<br />

Background: Immediate breast reconstruction (IBR) following mastectomy<br />

is underutilized in the U.S. Racial, economic and geographic factors are<br />

associated with lower rates <strong>of</strong> IBR. Prior research has explored the<br />

association <strong>of</strong> individual and surgeon-level factors with the use <strong>of</strong> IBR, with<br />

little attention paid to hospital characteristics. Methods: We analyzed data<br />

from the 2008 Nationwide Inpatient Sample (NIS), a 20% random sample<br />

<strong>of</strong> academic, public and private U.S. hospitals. We used ICD-9 codes to<br />

identify women diagnosed with invasive breast cancer or DCIS who<br />

underwent mastectomy, and IBR (natural or expander/implant). If a<br />

hospital performed at least one IBR during 2008, they were classified as<br />

performing reconstruction. Relative risk regression was used to assess the<br />

hospital factors associated with a hospital performing IBR. Results: Of the<br />

3,518 hospitals that performed mastectomy in 2008 only 50.4% performed<br />

at least one IBR. For hospitals that did not perform IBR, the average<br />

number <strong>of</strong> mastectomies was 5, compared to 35 at hospitals that did<br />

perform IBR (p�0.01). Among hospitals that did perform IBR, the mean<br />

proportion <strong>of</strong> mastectomy patients that had IBR was 34% (SD�20). In a<br />

multivariable adjusted model, urban/teaching (RR�3.47) and urban/nonteaching<br />

(RR�2.86) hospitals were significantly more likely to perform IBR<br />

compared to rural hospitals. Hospitals with a high proportion <strong>of</strong> privately<br />

insured patients (RR�1.10) were significantly more likely to perform IBR<br />

compared to hospitals with a low proportion <strong>of</strong> privately insured patients. In<br />

contrast, hospitals with a high proportion <strong>of</strong> publically insured patients<br />

(RR�0.24) and hospitals with a high proportion <strong>of</strong> female patients � 70<br />

years old (RR�0.75) were significantly less likely to perform IBR. Hospital<br />

region, hospital ownership status and the proportion <strong>of</strong> nonwhite patients<br />

were not significantly associated with IBR. Conclusions: Almost half <strong>of</strong> all<br />

U.S. hospitals where mastectomies are performed do not have any patients<br />

who have undergone IBR. The likelihood a hospital will perform IBR varies<br />

significantly by hospital characteristics.<br />

6120 General Poster Session (Board #11E), Mon, 1:15 PM-5:15 PM<br />

Do patient tracking, follow-up, and referral practices contribute to breast<br />

cancer disparities in a large urban area? Presenting Author: Christine B.<br />

Weldon, Center for Business Models in Healthcare, Chicago, IL<br />

Background: Chicago Black women are 62% more likely to die from breast<br />

(BC) cancer than White women. Previous data from 39 Chicago hospitals<br />

suggested significant quality deficits in breast cancer screening and<br />

treatment (Chicago Breast Cancer Quality Consortium, 2010). Patient<br />

tracking, follow up and referral practices may influence quality <strong>of</strong> care for<br />

minority women (Mojica et al, Cancer Control, 2007). Our goal is to<br />

evaluate tracking, follow up and referral practices during screening,<br />

diagnosis and treatment <strong>of</strong> BC at Chicago hospitals servicing Black women.<br />

Methods: Using the framework approach <strong>of</strong> qualitative research, we<br />

conducted interviews with providers <strong>of</strong> BC screening and care from 20<br />

Chicago institutions with Black patients averaging 50% <strong>of</strong> patient base (15<br />

community, 3 academic and 2 public hospitals). Informants included<br />

surgeons, medical oncologists, radiologists, mammography technicians,<br />

internists, nurses, administrators, and patient navigators. Interviews were<br />

transcribed, and thematic and statistical analyses were performed (simple<br />

frequencies and Fisher’s exact test). Results: Six <strong>of</strong> the 20 sites (30%)<br />

follow up with patients who did not show for a scheduled mammography<br />

visit. Five <strong>of</strong> these sites (83%, 5/6) have a low “no-show” rate (below 20%),<br />

compared to 4 sites (29%, 4/14) with low “no-show” rates among the 14<br />

sites without follow-up (p�0.05). Seven <strong>of</strong> the 20 sites (25%) direct<br />

diagnosed patients to their next step in care by providing referrals and<br />

guidance, while other 13 sites rely on a primary care physician or leave the<br />

patient without a clear care plan. BC patients at 6 <strong>of</strong> the 7 sites directing<br />

care (83%, 5/6) are referred to a mid- or high-volume surgeon (3� BC<br />

surgeries / month), compared to patients from only 1 <strong>of</strong> the 13 sites not<br />

directing care (p�0.001). Nine <strong>of</strong> the 20 sites track diagnosed BC patients<br />

through their care. Five <strong>of</strong> them (56%, 5/9) also track survivors, compared<br />

to none (0%, 0/11) <strong>of</strong> the 11 sites who do not track patients (p�0.008).<br />

Conclusions: Poor tracking, follow up and referral practices for breast<br />

cancer screening and treatment are associated with suboptimal care and<br />

may contribute to outcome disparities for Black women in Chicago.<br />

Health Services Research<br />

411s<br />

6119 General Poster Session (Board #11D), Mon, 1:15 PM-5:15 PM<br />

Why do cancer patients die in the emergency department (ED)? Analysis <strong>of</strong><br />

283 deaths in North Carolina EDs in 2008. Presenting Author: Ashley<br />

Nicole Leak, UNC Gillings School <strong>of</strong> Global Public Health, Department <strong>of</strong><br />

Health Policy and Management, Chapel Hill, NC<br />

Background: Emergency departments (ED) in the US are utilized by cancer<br />

patients for symptom management, treatment side effects, oncologic<br />

emergencies, and/or end <strong>of</strong> life care. EDs have become a place where acute<br />

care needs are addressed and there are discussions about end <strong>of</strong> life care.<br />

The purpose <strong>of</strong> this study was to describe characteristics <strong>of</strong> cancer patients<br />

who died in the ED, highlighting lung cancer patients and their ED visit<br />

characteristics. Methods: A secondary data analysis <strong>of</strong> ED visit data fromthe<br />

North Carolina Disease Event Tracking and Epidemiologic Collection Tool<br />

(NC DETECT), a population database <strong>of</strong> 110 <strong>of</strong> the 112 EDs in NC in 2008.<br />

This was a descriptive, retrospective analysis providing descriptive statistics<br />

<strong>of</strong> patient demographics including: sex, age at death, insurance,<br />

cancer type, and visit categories (hour, day, month). Free text chief<br />

complaints, as recorded by the health care provider, were cleaned and<br />

categorized. Results: There were37,760 ED visits by 27,644 patients<br />

associated with cancer; 283 (1%) <strong>of</strong> these visits resulted in death in the<br />

ED. The most common chief complaints <strong>of</strong> those who died were respiratory<br />

distress (17.3%), neurological changes (13.4%), and pain (5.7%). Of all<br />

cancer deaths, 63% were male with a mean age <strong>of</strong> 66 (SD 14.2). Over a<br />

third (N� 104, 36.7%) <strong>of</strong> cancer ED visits resulting in death had a code for<br />

lung cancer listed. Medicare was the insurance provided for almost half<br />

(47.3%) <strong>of</strong> these patients. Majority <strong>of</strong> deaths occurred on a patient’s first<br />

ED visit (70.9%). Although a third (34.7%) <strong>of</strong> deaths occurred during<br />

weekends, over a third (37.5%) occurred during weekday clinic hours.<br />

Conclusions: Even though deaths in the ED were infrequent, this study<br />

provides insight into reasons patients visit the ED. Some patients were<br />

enrolled in Hospice and/or had a DNR documented. This study can inform<br />

future research associated with precipitating factors leading up to the ED<br />

visit (e.g. worsening shortness <strong>of</strong> breath, location <strong>of</strong> care prior to ED visit).<br />

This study illustrates the importance <strong>of</strong> research on discussion <strong>of</strong> end <strong>of</strong> life<br />

care needs (advanced directives, code status, use <strong>of</strong> Hospice services) with<br />

cancer patients and their family before they reach the final stage <strong>of</strong> their<br />

disease.<br />

6121 General Poster Session (Board #11F), Mon, 1:15 PM-5:15 PM<br />

Competing event risk stratification may improve the design and efficiency<br />

<strong>of</strong> clinical trials: Secondary analysis <strong>of</strong> SWOG 8794. Presenting Author:<br />

Brent Shane Rose, Harvard University, Boston, MA<br />

Background: Efficiency <strong>of</strong> clinical trials may be improved by stratifying<br />

according to competing event risk. We aimed to test whether effect and<br />

sample size estimates would be altered when adjusting for competing event<br />

risk, using data from the SWOG 8794 trial <strong>of</strong> adjuvant radiation therapy<br />

(RT) for high-risk post-operative prostate cancer. Methods: The primary<br />

outcome was metastasis-free survival (MFS), defined as time to first<br />

occurrence <strong>of</strong> metastasis or death from any cause (i.e., competing mortality<br />

(CM)). We developed separate risk scores for time to metastasis and CM<br />

using backward stepwise competing risks regression. Risk factors for<br />

metastasis were PSA, Gleason score, and seminal vesicle invasion, and for<br />

CM were age, performance status, and Charlson comorbidity index.<br />

Treatment effects were estimated using Cox models adjusted for risk<br />

scores. We identified an enriched subgroup <strong>of</strong> 75 patients at high risk <strong>of</strong><br />

metastasis and low risk <strong>of</strong> CM, based on risk score cut<strong>of</strong>fs. Sample size<br />

estimates assumed type I and II error <strong>of</strong> 0.10 and 0.20, and accrual and<br />

follow-up times <strong>of</strong> 6 and 6 years. Results: The mean CM risk score was<br />

significantly lower in the RT vs. control arm (p�0.001). The effect <strong>of</strong> RT on<br />

MFS (HR 0.70; 95% CI, 0.53-0.92; p�0.010) was attenuated when<br />

controlling for metastasis and CM risk (HR 0.76; 95% CI, 0.58-1.00;<br />

p�0.049). The hazard for CM was reduced by RT (HR 0.82; 95% CI,<br />

0.59-1.14; p�0.24), but this effect was attenuated when controlling for<br />

CM risk (HR 0.94; 95% CI, 0.67-1.31; p�0.71). In contrast, there was no<br />

difference in the adjusted and unadjusted HRs for metastasis (0.50; 95%<br />

CI, 0.31-0.81; p�0.005 and 0.49; 95% CI, 0.30-0.81; p�0.005).<br />

Compared to the whole cohort, the enriched subgroup had the same<br />

baseline 10-year incidence <strong>of</strong> MFS (40%; 95% CI 22-57%), but a higher<br />

incidence <strong>of</strong> metastasis (30% (95% CI, 15-47%) vs. 20% (95% CI,<br />

15-26%)). A randomized trial in an enriched population could have<br />

achieved 80% power with 44% less patients (313 vs. 709 patients,<br />

respectively), due to the differing event composition. Conclusions: Stratification<br />

based on competing event risk may improve the design and<br />

efficiency <strong>of</strong> clinical trials. These findings should be externally validated.<br />

Visit abstract.asco.org and search by abstract for the full list <strong>of</strong> abstract authors and their disclosure information.

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