Patient Demographics and Referral Patterns for [F-18]Fluciclovine-PET Imaging at a Tertiary Academic Medical Center

2019 ◽  
Vol 16 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Samuel J. Galgano ◽  
Carli E. Calderone ◽  
Andrew M. McDonald ◽  
Jeffrey W. Nix ◽  
Mollie deShazo ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Medical Center ◽  
Academic Medical Center ◽  
Referral Patterns ◽  
Patient Demographics ◽  
Academic Medical

scholarly journals Disparities in PET imaging for prostate cancer at a tertiary academic medical center

2020 ◽  
pp. jnumed.120.251751
Author(s):  
Matthew D. Bucknor ◽  
Daphne Y. Lichtensztajn ◽  
Tracy K. Lin ◽  
Hala T. Borno ◽  
Scarlett L. Gomez ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Pet Imaging ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical

scholarly journals Race/Ethnicity, Primary Language, and Income Are Not Demographic Drivers of Mortality in Breast Cancer Patients at a Diverse Safety Net Academic Medical Center

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Divya A. Parikh ◽  
Rani Chudasama ◽  
Ankit Agarwal ◽  
Alexandar Rand ◽  
Muhammad M. Qureshi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Medical Center ◽  
Academic Medical Center ◽  
Safety Net ◽  
Primary Language ◽  
Breast Cancer Patients ◽  
Patient Demographics ◽  
Academic Medical ◽  
Race Ethnicity

Objective. To examine the impact of patient demographics on mortality in breast cancer patients receiving care at a safety net academic medical center.Patients and Methods. 1128 patients were diagnosed with breast cancer at our institution between August 2004 and October 2011. Patient demographics were determined as follows: race/ethnicity, primary language, insurance type, age at diagnosis, marital status, income (determined by zip code), and AJCC tumor stage. Multivariate logistic regression analysis was performed to identify factors related to mortality at the end of follow-up in March 2012.Results. There was no significant difference in mortality by race/ethnicity, primary language, insurance type, or income in the multivariate adjusted model. An increased mortality was observed in patients who were single (OR = 2.36, CI = 1.28–4.37,p=0.006), age > 70 years (OR = 3.88, CI = 1.13–11.48,p=0.014), and AJCC stage IV (OR = 171.81, CI = 59.99–492.06,p<0.0001).Conclusions. In this retrospective study, breast cancer patients who were single, presented at a later stage, or were older had increased incidence of mortality. Unlike other large-scale studies, non-White race, non-English primary language, low income, or Medicaid insurance did not result in worse outcomes.

Abstract 230: Factors Associated with Postarrest Withdrawal of Life-Sustaining Therapy

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Anne V Grossestreuer ◽  
David F Gaieski ◽  
Benjamin S Abella ◽  
Douglas J Wiebe ◽  
Jason S Haukoos ◽  
...  
Keyword(s):  
Cardiac Catheterization ◽  
Multivariate Regression ◽  
Medical Center ◽  
Academic Medical Center ◽  
Multivariate Regression Analysis ◽  
Patient Demographics ◽  
Shockable Rhythm ◽  
Academic Medical ◽  
Initial Rhythm ◽  
Hospital Stays

Background: Most successfully resuscitated cardiac arrest patients do not survive to hospital discharge. Many of those have withdrawal of life sustaining therapy (WLST) as a result of a poor neurologic prognosis. Objectives: Determine characteristics of patients who have WLST post-arrest and the differences in their post-arrest care. Methods: We identified comatose post-arrest adult patients from 27 hospitals between 2000-2014. We stratified patients by whether they had WLST and analyzed demographic, arrest, and post-arrest variables. Results: Of 1439 patients analyzed, 558 (39%) patients had WLST. These patients differed in demographic, arrest, and post-arrest characteristics and treatments (Table 1). In multivariate regression analysis, patients who had WLST were more likely to have post-arrest neurology consults (OR 3.5; 95% CI: 2.3-5.3), less likely to go to the cardiac catheterization (OR 0.3; 95% CI: 0.2-0.5) or electrophysiology labs (OR 0.3; 95% CI: 0.1-0.8), and had shorter hospital stays (OR 0.9; 95% CI: 0.8-0.9). When multivariate regression was limited to patient demographics and arrest characteristics, patients with WLST were older (OR 1.01; 95% CI: 1.00-1.02), had longer downtime (OR 1.01, 95% CI: 1.01-1.02), were more likely to be female (OR: 1.5; 95% CI: 1.2-2.0), were less likely to have an initial rhythm of VF/VT (OR 0.5; 95% CI: 0.4-0.7), and were less likely to have a witnessed arrest (OR 0.7; 95% CI: 0.5-0.9). Patients were less likely to have WLST at an academic medical center (OR 0.6, 95% CI: 0.4-1.0, p=0.04). Conclusions: Comatose post-arrest patients who had WLST in the hospital were older, were more likely to have a longer arrest downtime, be female, have an initial non-shockable rhythm, have an unwitnessed arrest, and less likely to be at an academic medical center. They are more likely to have post-arrest neurology consults, less likely to go to the cardiac catheterization or electrophysiology labs, and have a shorter hospital stay.

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