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Baird CE, Wulff-Burchfield E, Egan PC, Hugar LA, Vyas A, Trikalinos NA, Liu MA, Bélanger E, Olszewski AJ, Bantis LE, Panagiotou OA. Predictors of high-intensity care at the end of life among older adults with solid tumors: A population-based study. J Geriatr Oncol 2024; 15:101774. [PMID: 38676975 DOI: 10.1016/j.jgo.2024.101774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/05/2024] [Accepted: 04/12/2024] [Indexed: 04/29/2024]
Abstract
INTRODUCTION High-intensity end-of-life (EoL) care can be burdensome for patients, caregivers, and health systems and does not confer any meaningful clinical benefit. Yet, there are significant knowledge gaps regarding the predictors of high-intensity EoL care. In this study, we identify risk factors associated with high-intensity EoL care among older adults with the four most common malignancies, including breast, prostate, lung, and colorectal cancer. MATERIALS AND METHODS Using SEER-Medicare data, we conducted a retrospective analysis of Medicare beneficiaries aged 65 and older who died of breast, prostate, lung, or colorectal cancer between 2011 and 2015. We used multivariable logistic regression to identify clinical, demographic, socioeconomic, and geographic predictors of high-intensity EoL care, which we defined as death in an acute care hospital, receipt of any oral or parenteral chemotherapy within 14 days of death, one or more admissions to the intensive care unit within 30 days of death, two or more emergency department visits within 30 days of death, or two or more inpatient admissions within 30 days of death. RESULTS Among 59,355 decedents, factors associated with increased likelihood of receiving high-intensity EoL care were increased comorbidity burden (odds ratio [OR]:1.29; 95% confidence interval [CI]:1.28-1.30), female sex (OR:1.05; 95% CI:1.01-1.09), Black race (OR:1.14; 95% CI:1.07-1.23), Other race/ethnicity (OR:1.20; 95% CI:1.10-1.30), stage III disease (OR:1.11; 95% CI:1.05-1.18), living in a county with >1,000,000 people (OR:1.23; 95% CI:1.16-1.31), living in a census tract with 10%-<20% poverty (OR:1.09; 95% CI:1.03-1.16) or 20%-100% poverty (OR:1.12; 95% CI:1.04-1.19), and having state-subsidized Medicare premiums (OR:1.18; 95% CI:1.12-1.24). The risk of high-intensity EoL care was lower among patients who were older (OR:0.98; 95% CI:0.98-0.99), lived in the Midwest (OR:0.69; 95% CI:0.65-0.75), South (OR:0.70; 95% CI:0.65-0.74), or West (OR:0.81; 95% CI:0.77-0.86), lived in mostly rural areas (OR:0.92; 95% CI:0.86-1.00), and had poor performance status (OR:0.26; 95% CI:0.25-0.28). Results were largely consistent across cancer types. DISCUSSION The risk factors identified in our study can inform the development of new interventions for patients with cancer who are likely to receive high-intensity EoL care. Health systems should consider incorporating these risk factors into decision-support tools to assist clinicians in identifying which patients should be referred to hospice and palliative care.
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Affiliation(s)
- Courtney E Baird
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA.
| | - Elizabeth Wulff-Burchfield
- Medical Oncology Division and Palliative Medicine Division, Department of Internal Medicine, University of Kansas School of Medicine, University of Kansas Cancer Center, The University of Kansas Health System, Kansas City, KS, USA
| | - Pamela C Egan
- Department of Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Lee A Hugar
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Ami Vyas
- University of Rhode Island, College of Pharmacy, Department of Pharmacy Practice, Kingston, RI, USA
| | - Nikolaos A Trikalinos
- Division of Oncology, Department of Medicine, Washington University Medical School Campus, St. Louis, MO, USA; Siteman Cancer Center, St. Louis, MO, USA
| | - Michael A Liu
- Columbia University Medical Center, Herbert Irving Comprehensive Cancer Center, New York, NY, USA
| | - Emmanuelle Bélanger
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA
| | - Adam J Olszewski
- Department of Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Leonidas E Bantis
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Orestis A Panagiotou
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA
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Alam SM, Larson M, Srinivasan P, Genz N, Fleer R, Sardiu M, Thompson J, Lee E, Hamilton-Reeves J, Wulff-Burchfield E. Evaluation of sarcopenia in patients receiving intravesical Bacillus Calmette-Guérin for non-muscle invasive bladder cancer. Urol Oncol 2023; 41:431.e15-431.e20. [PMID: 37487846 DOI: 10.1016/j.urolonc.2023.05.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 05/17/2023] [Accepted: 05/30/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Sarcopenia is associated with adverse outcomes for patients with muscle invasive bladder cancer (MIBC), but less is known about its impact in the setting of non-muscle invasive bladder cancer (NMIBC). Sarcopenia, skeletal muscle density, and adipose tissue area have been studied as markers of malnutrition and can be determined radiographically. The purpose of this study is to characterize the prevalence of sarcopenia in patients with NMIBC receiving intravesical Bacillus Calmette-Guérin (BCG). METHODS Following institutional review board approval, patients with NMIBC having received intravesical BCG were identified using institutional pharmacy records. Patients having undergone computed tomography (CT) of the abdomen and pelvis within 90 days of treatment were included in the analysis. Using sliceOmatic 5.0 software, skeletal muscle area (cm2) was measured at the L3 level to calculate skeletal muscle index (SMI), a marker of sarcopenia. Subcutaneous, visceral, and intramuscular adipose tissue areas in addition to skeletal muscle density were also measured. Frailty was evaluated as a secondary aim using the 5-Item Modified Frailty Index (mFI-5). Using predefined cutoffs, the prevalence of sarcopenia was determined. Descriptive statistics were used to characterize frailty and secondary body composition characteristics. Statistical analysis was performed to evaluate the impact of sarcopenia on recurrence rate and progression. RESULTS A total of 308 patients having received BCG between 2015 and 2020 were identified, of which 90 met criteria for analysis. Nearly all (94%) patients completed at least 5 out of 6 BCG induction instillations. Median body mass index (kg/m2) was 27.64 (IQR 24.9, 30.5) for females and 27.7 (IQR 24.9, 30.66) for males. Median SMI (cm2/m2) was 49.44 (IQR 39.39, 55.17) for females and 49.58 (IQR 40.25, 55.58) for males. A majority (61%) of patients were found to be sarcopenic. High-risk frailty was identified 36% of patients. There was no association between sarcopenia and recurrence rate or progression. CONCLUSIONS Sarcopenia and frailty are highly prevalent amongst patients with NMIBC. A diagnosis of NMIBC represents a window of opportunity to identify and intervene on modifiable risk factors such as sarcopenia and frailty, which are associated with adverse outcomes in more advanced disease states.
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Affiliation(s)
- Syed M Alam
- Department of Urology, University of Kansas Health System, Kansas City, KS
| | - Matthew Larson
- Department of Urology, University of Kansas Health System, Kansas City, KS
| | | | - Nick Genz
- Department of Urology, University of Kansas Health System, Kansas City, KS
| | - Ryan Fleer
- Department of Pharmacy Practice, University of Kansas Health System, Kansas City, KS
| | - Mihaela Sardiu
- Department of Biostatistics, University of Kansas, Kansas City, KS
| | - Jeffrey Thompson
- Department of Biostatistics, University of Kansas, Kansas City, KS
| | - Eugene Lee
- Department of Urology, University of Kansas Health System, Kansas City, KS
| | - Jill Hamilton-Reeves
- Department of Urology, University of Kansas Health System, Kansas City, KS; Department of Dietetics and Nutrition, University of Kansas, Kansas City, KS; Department of Medicine, Division of Medical Oncology, University of Kansas, Kansas City, KS
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Ellis SD, Brooks JV, Birken SA, Morrow E, Hilbig ZS, Wulff-Burchfield E, Kinney AY, Ellerbeck EF. Determinants of targeted cancer therapy use in community oncology practice: a qualitative study using the Theoretical Domains Framework and Rummler-Brache process mapping. Implement Sci Commun 2023; 4:66. [PMID: 37308981 PMCID: PMC10259814 DOI: 10.1186/s43058-023-00441-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/25/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Precision medicine holds enormous potential to improve outcomes for cancer patients, offering improved rates of cancer control and quality of life. Not all patients who could benefit from targeted cancer therapy receive it, and some who may not benefit do receive targeted therapy. We sought to comprehensively identify determinants of targeted therapy use among community oncology programs, where most cancer patients receive their care. METHODS Guided by the Theoretical Domains Framework, we conducted semi-structured interviews with 24 community cancer care providers and mapped targeted therapy delivery across 11 cancer care delivery teams using a Rummler-Brache diagram. Transcripts were coded to the framework using template analysis, and inductive coding was used to identify key behaviors. Coding was revised until a consensus was reached. RESULTS Intention to deliver precision medicine was high across all participants interviewed, who also reported untenable knowledge demands. We identified distinctly different teams, processes, and determinants for (1) genomic test ordering and (2) delivery of targeted therapies. A key determinant of molecular testing was role alignment. The dominant expectation for oncologists to order and interpret genomic tests is at odds with their role as treatment decision-makers' and pathologists' typical role to stage tumors. Programs in which pathologists considered genomic test ordering as part of their staging responsibilities reported high and timely testing rates. Determinants of treatment delivery were contingent on resources and ability to offset delivery costs, which low- volume programs could not do. Rural programs faced additional treatment delivery challenges. CONCLUSIONS We identified novel determinants of targeted therapy delivery that potentially could be addressed through role re-alignment. Standardized, pathology-initiated genomic testing may prove fruitful in ensuring patients eligible for targeted therapy are identified, even if the care they need cannot be delivered at small and rural sites which may have distinct challenges in treatment delivery. Incorporating behavior specification and Rummler-Brache process mapping with determinant analysis may extend its usefulness beyond the identification of the need for contextual adaptation.
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Affiliation(s)
- Shellie D. Ellis
- University of Kansas School of Medicine, 3901 Rainbow Blvd., Kansas City, KS 66610 USA
| | - Joanna Veazey Brooks
- University of Kansas School of Medicine, 3901 Rainbow Blvd., Kansas City, KS 66610 USA
| | - Sarah A. Birken
- Wake Forest University School of Medicine, 525 Vine Street, Winston-Salem, NC 27101 USA
| | - Emily Morrow
- Kansas City Kansas Community College, 7250 State Ave., Kansas City, KS 66112 USA
| | - Zachary S. Hilbig
- University of Kansas School of Medicine, 3901 Rainbow Blvd., Kansas City, KS 66610 USA
| | | | - Anita Y. Kinney
- Rutgers Cancer Institute of New Jersey, Rutgers University, 195 Little Albany St., New Brunswick, NJ 08901 USA
| | - Edward F. Ellerbeck
- University of Kansas School of Medicine, 3901 Rainbow Blvd., Kansas City, KS 66610 USA
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Woolbright BL, Rajendran G, Abbott E, Zacharias Z, Houtman J, Parikh R, Chen Q, Hamza A, Wulff-Burchfield E, Holzbeierlein JM, Drisko J, Henry MD, Taylor JA. Abstract 2119: Intravenous vitamin C therapy for cisplatin ineligible bladder cancer patients (CI-MIBC): Early investigation into potential pharmacodynamic biomarkers. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-2119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Neoadjuvant cisplatin based chemotherapy is considered standard of care for patients with locally advanced bladder cancer (BCa). However, upwards of 50% of patients are ineligible due to poor performance status, underlying kidney disease, peripheral neuropathy, hearing loss and/or cardiac disease. There are currently no accepted alternative regimens with significant activity, and many cisplatin ineligible patients usually proceed directly to surgery. Prior research in other cancers has indicated intravenous vitamin C (IVC), or ascorbate, may serve as a beneficial adjuvant to less toxic therapeutic regimens. We initiated a single arm, Simon 2-stage, Window of Opportunity trial using high dose IVC with single cycle gemcitabine/carboplatin (GCa) (NCT04046094). The primary outcome was pathologic downstaging. Twelve patients with newly diagnosed CI-MIBC were enrolled. Patients received single cycle GCa and IVC titrated to 350-400 mg/dL for ~21 days followed by cystectomy after ~4-6 weeks. As reported, pathological downstaging (<ypT2N0Mx) was present in 4 (33%) of patients. Three of the four patients had a complete response (ypT0NoMx) including one patient with plasmacytoid variant histology. Treatment was well tolerated with no attributable AE/SAEs. Given the discrepancy in response levels, we began identifying potential markers of pharmacodynamic efficacy to inform future trials. Novel data evaluating Ki67+ cells by immunohistochemistry indicate widespread proliferation in non-responders to IVC/GCa, whereas responding patients had visibly fewer positive cells, suggesting a direct effect on cell death and proliferation. TUNEL staining was present in all samples, although often minimally, and thus TUNEL may not yield enough signal to reliably make determinations about treatment outcomes. Urinary cytokine values were assessed using multiplex ELISA and reported as pg/mL urine. Multiple cytokines including IL-1RA, CCL2, IL-8, CXCL10 were present at markedly high concentrations in patients with BCa. Cytokine levels generally increased between diagnostic resection and radical cystectomy indicating potential immune activation by the IVC/GCa treatment. Cytokine levels generally fell between radical cystectomy and follow-up samples suggesting resolution of inflammation after cystectomy. In conclusion, IVC/GCa may be a viable alternative neoadjuvant treatment strategy for patients with BCa that are ineligible for cisplatin-based chemotherapy. Identifying biomarkers of response remains a major area of interest to refine study designs and identify patients most likely to benefit from therapy.
Citation Format: Benjamin L. Woolbright, Ganeshkumar Rajendran, Erika Abbott, Zeb Zacharias, Jon Houtman, Rahul Parikh, Qi Chen, Ameer Hamza, Elizabeth Wulff-Burchfield, Jeffrey M. Holzbeierlein, Jeanne Drisko, Michael D. Henry, John A. Taylor. Intravenous vitamin C therapy for cisplatin ineligible bladder cancer patients (CI-MIBC): Early investigation into potential pharmacodynamic biomarkers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2119.
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Affiliation(s)
| | | | - Erika Abbott
- 1Kansas University Medical Center, Kansas City, KS
| | - Zeb Zacharias
- 2Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA
| | - Jon Houtman
- 2Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA
| | - Rahul Parikh
- 1Kansas University Medical Center, Kansas City, KS
| | - Qi Chen
- 1Kansas University Medical Center, Kansas City, KS
| | - Ameer Hamza
- 1Kansas University Medical Center, Kansas City, KS
| | | | | | | | - Michael D. Henry
- 2Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA
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Johnson DB, Atkins MB, Hennessy C, Wise-Draper T, Heilman H, Awosika J, Bakouny Z, Labaki C, Saliby RM, Hwang C, Singh SRK, Balanchivadze N, Friese CR, Fecher LA, Yoon JJ, Hayes-Lattin B, Bilen MA, Castellano CA, Lyman GH, Tachiki L, Shah SA, Glover MJ, Flora DB, Wulff-Burchfield E, Kasi A, Abbasi SH, Farmakiotis D, Viera K, Klein EJ, Weissman LB, Jani C, Puc M, Fahey CC, Reuben DY, Mishra S, Beeghly-Fadiel A, French B, Warner JL. Impact of COVID-19 in patients on active melanoma therapy and with history of melanoma. BMC Cancer 2023; 23:265. [PMID: 36949413 PMCID: PMC10033295 DOI: 10.1186/s12885-023-10708-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 03/06/2023] [Indexed: 03/24/2023] Open
Abstract
INTRODUCTION COVID-19 particularly impacted patients with co-morbid conditions, including cancer. Patients with melanoma have not been specifically studied in large numbers. Here, we sought to identify factors that associated with COVID-19 severity among patients with melanoma, particularly assessing outcomes of patients on active targeted or immune therapy. METHODS Using the COVID-19 and Cancer Consortium (CCC19) registry, we identified 307 patients with melanoma diagnosed with COVID-19. We used multivariable models to assess demographic, cancer-related, and treatment-related factors associated with COVID-19 severity on a 6-level ordinal severity scale. We assessed whether treatment was associated with increased cardiac or pulmonary dysfunction among hospitalized patients and assessed mortality among patients with a history of melanoma compared with other cancer survivors. RESULTS Of 307 patients, 52 received immunotherapy (17%), and 32 targeted therapy (10%) in the previous 3 months. Using multivariable analyses, these treatments were not associated with COVID-19 severity (immunotherapy OR 0.51, 95% CI 0.19 - 1.39; targeted therapy OR 1.89, 95% CI 0.64 - 5.55). Among hospitalized patients, no signals of increased cardiac or pulmonary organ dysfunction, as measured by troponin, brain natriuretic peptide, and oxygenation were noted. Patients with a history of melanoma had similar 90-day mortality compared with other cancer survivors (OR 1.21, 95% CI 0.62 - 2.35). CONCLUSIONS Melanoma therapies did not appear to be associated with increased severity of COVID-19 or worsening organ dysfunction. Patients with history of melanoma had similar 90-day survival following COVID-19 compared with other cancer survivors.
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Affiliation(s)
| | - Michael B Atkins
- Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | | | | | | | - Joy Awosika
- University of Cincinnati Cancer Center, Cincinnati, USA
| | | | | | | | - Clara Hwang
- Henry Ford Cancer Institute, Henry Ford Hospital, Detroit, MI, USA
| | - Sunny R K Singh
- Henry Ford Cancer Institute, Henry Ford Hospital, Detroit, MI, USA
| | | | | | - Leslie A Fecher
- University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - James J Yoon
- University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Brandon Hayes-Lattin
- Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Mehmet A Bilen
- Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | | | | | | | - Sumit A Shah
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | - Michael J Glover
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | | | | | - Anup Kasi
- The University of Kansas Cancer Center, Lawrence, KS, USA
| | - Saqib H Abbasi
- The University of Kansas Cancer Center, Lawrence, KS, USA
| | | | - Kendra Viera
- Brown University and Lifespan Cancer Institute, Providence, Rhode Island, USA
| | - Elizabeth J Klein
- Brown University and Lifespan Cancer Institute, Providence, Rhode Island, USA
| | | | | | | | | | - Daniel Y Reuben
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Sanjay Mishra
- Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | | | - Benjamin French
- Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Jeremy L Warner
- Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Brown University and Lifespan Cancer Institute, Providence, Rhode Island, USA
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Brooks JV, Zegers C, Sinclair CT, Wulff-Burchfield E, Thimmesch AR, English D, Nelson-Brantley HV. Understanding the Cures Act Information Blocking Rule in cancer care: a mixed methods exploration of patient and clinician perspectives and recommendations for policy makers. BMC Health Serv Res 2023; 23:216. [PMID: 36879318 PMCID: PMC9990332 DOI: 10.1186/s12913-023-09230-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 02/28/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND The 21st Century Cures Act Interoperability and Information Blocking Rule was created to increase patient access to health information. This federally mandated policy has been met with praise and concern. However, little is known about patient and clinician opinions of this policy within cancer care. METHODS We conducted a convergent parallel mixed methods study to understand patient and clinician reactions to the Information Blocking Rule in cancer care and what they would like policy makers to consider. Twenty-nine patients and 29 clinicians completed interviews and surveys. Inductive thematic analysis was used to analyze the interviews. Interview and survey data were analyzed separately, then linked to generate a full interpretation of the results. RESULTS Overall, patients felt more positive about the policy than clinicians. Patients wanted policy makers to understand that patients are unique, and they want to individualize their preferences for receiving health information with their clinicians. Clinicians highlighted the uniqueness of cancer care, due to the highly sensitive information that is shared. Both patients and clinicians were concerned about the impact on clinician workload and stress. Both expressed an urgent need for tailoring implementation of the policy to avoid unintended harm and distress for patients. CONCLUSIONS Our findings provide suggestions for optimizing the implementation of this policy in cancer care. Dissemination strategies to better inform the public about the policy and improve clinician understanding and support are recommended. Patients who have serious illness or diagnoses such as cancer and their clinicians should be included when developing and enacting policies that could have a significant impact on their well-being. Patients with cancer and their cancer care teams want the ability to tailor information release based on individual preferences and goals. Understanding how to tailor implementation of the Information Blocking Rule is essential for retaining its benefits and minimizing unintended harm for patients with cancer.
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Affiliation(s)
- Joanna Veazey Brooks
- University of Kansas School of Medicine, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Carli Zegers
- University of Kansas School of Nursing, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Christian T Sinclair
- University of Kansas School of Medicine, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | | | - Amanda R Thimmesch
- University of Kansas School of Nursing, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Daniel English
- University of Kansas School of Nursing, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
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Ayyash O, Yabes J, Hugar L, Maganty A, Williams SB, Wulff-Burchfield E, Davies B, Jacobs B. New Mental Health Diagnosis as a Prognostic Factor for Muscle-Invasive Bladder Cancer. Clin Genitourin Cancer 2022; 21:e1-e8. [PMID: 36446679 DOI: 10.1016/j.clgc.2022.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/11/2022] [Accepted: 10/24/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND To examine differences in survival outcomes for muscle-invasive bladder cancer patients stratified by new mental health diagnosis. METHODS Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare data, we identified patients diagnosed with muscle-invasive bladder cancer between 2008 and 2014. Our primary outcome was cancer-specific and overall hazards of mortality. As a secondary outcome, we reported predictors of developing a new mental health diagnosis after bladder cancer diagnosis. We used Cox proportional hazards models to determine the impact of palliative care and mental health diagnoses on survival outcomes after adjusting for grade, stage, comorbidity index, and baseline demographics. RESULTS Of the 3794 patients who met inclusion criteria, 1193 (31%) were diagnosed with a mental health illness after their bladder cancer diagnosis during the 6 years in the study period. The most common diagnoses were depression (13%), alcohol and drug abuse (12%), and anxiety (11%). Patients with a post-bladder cancer mental health diagnosis had a 57% higher hazard of overall mortality (HR 1.57, P = .048) and an 80% higher hazard of bladder cancer-specific mortality (HR 1.81, P = .037) CONCLUSIONS: New mental health diagnoses are associated with worse survival in patients with muscle invasive bladder cancer. This suggests that a multimodal approach to bladder cancer treatment should include addressing the non-oncologic needs of the patient to optimize survival outcomes.
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Affiliation(s)
- Omar Ayyash
- Department of Urology, UPMC, Pittsburgh, PA.
| | - Jonathan Yabes
- Center for Research on Health Care, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Lee Hugar
- Department of Urology, UPMC, Pittsburgh, PA
| | | | - Stephen B Williams
- Department of Surgery, Division of Urology, University of Texas Medical Branch, Galveston, TX
| | - Elizabeth Wulff-Burchfield
- Division of Medical Oncology and Palliative Medicine, University of Kansas Medical Center, Kansas City, KS
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Ellis SD, Thompson JA, Boyd SS, Roberts AW, Charlton M, Brooks JV, Birken SA, Wulff-Burchfield E, Amponsah J, Petersen S, Kinney AY, Ellerbeck E. Geographic differences in community oncology provider and practice location characteristics in the central United States. J Rural Health 2022; 38:865-875. [PMID: 35384064 PMCID: PMC9589478 DOI: 10.1111/jrh.12663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
PURPOSE How care delivery influences urban-rural disparities in cancer outcomes is unclear. We sought to understand community oncologists' practice settings to inform cancer care delivery interventions. METHODS We conducted secondary analysis of a national dataset of providers billing Medicare from June 1, 2019 to May 31, 2020 in 13 states in the central United States. We used Kruskal-Wallis rank and Fisher's exact tests to compare physician characteristics and practice settings among rural and urban community oncologists. FINDINGS We identified 1,963 oncologists practicing in 1,492 community locations; 67.5% practiced in exclusively urban locations, 11.3% in exclusively rural locations, and 21.1% in both rural and urban locations. Rural-only, urban-only, and urban-rural spanning oncologists practice in an average of 1.6, 2.4, and 5.1 different locations, respectively. A higher proportion of rural community sites were solo practices (11.7% vs 4.0%, P<.001) or single specialty practices (16.4% vs 9.4%, P<.001); and had less diversity in training environments (86.5% vs 67.8% with <2 medical schools represented, P<.001) than urban community sites. Rural multispecialty group sites were less likely to include other cancer specialists. CONCLUSIONS We identified 2 potentially distinct styles of care delivery in rural communities, which may require distinct interventions: (1) innovation-isolated rural oncologists, who are more likely to be solo providers, provide care at few locations, and practice with doctors with similar training experiences; and (2) urban-rural spanning oncologists who provide care at a high number of locations and have potential to spread innovation, but may face high complexity and limited opportunity for care standardization.
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Affiliation(s)
- Shellie D Ellis
- Department of Population Health, University of Kansas Medical Center, Kansas City, Kansas, USA
- University of Kansas Cancer Center, Kansas City, Kansas, USA
| | - Jeffrey A Thompson
- University of Kansas Cancer Center, Kansas City, Kansas, USA
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Samuel S Boyd
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Andrew W Roberts
- Department of Population Health, University of Kansas Medical Center, Kansas City, Kansas, USA
- University of Kansas Cancer Center, Kansas City, Kansas, USA
- Department of Anesthesiology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Mary Charlton
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA
| | - Joanna Veazey Brooks
- Department of Population Health, University of Kansas Medical Center, Kansas City, Kansas, USA
- University of Kansas Cancer Center, Kansas City, Kansas, USA
| | - Sarah A Birken
- Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Elizabeth Wulff-Burchfield
- University of Kansas Cancer Center, Kansas City, Kansas, USA
- Division of Medical Oncology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Jonah Amponsah
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Shariska Petersen
- Department of Obstetrics and Gynecology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Anita Y Kinney
- Department of Biostatistics and Epidemiology, School of Public Health, Rutgers University, Haven, Kansas, USA
| | - Edward Ellerbeck
- Department of Population Health, University of Kansas Medical Center, Kansas City, Kansas, USA
- University of Kansas Cancer Center, Kansas City, Kansas, USA
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Halabi S, Luo B, Dzimitrowicz H, Hwang C, Wise-Draper T, Labaki C, McKay R, Ruiz E, Rangel-Escareño C, Farmakiotis D, Griffiths E, Jani C, Accordino M, Friese C, Wulff-Burchfield E, Puc M, Yu P, Topaloglu U, Mishra S, Warner J. 501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19. Ann Oncol 2022. [PMCID: PMC9472539 DOI: 10.1016/j.annonc.2022.07.629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Liu MA, Keeney T, Papaila A, Ogarek J, Khurshid H, Wulff-Burchfield E, Olszewski A, Bélanger E, Panagiotou OA. Functional Status and Survival in Older Nursing Home Residents With Advanced Non-Small-Cell Lung Cancer: A SEER-Medicare Analysis. JCO Oncol Pract 2022; 18:e886-e895. [PMID: 35130040 PMCID: PMC9191367 DOI: 10.1200/op.21.00460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 11/22/2021] [Accepted: 01/12/2022] [Indexed: 01/07/2023] Open
Abstract
PURPOSE Many older patients with advanced lung cancer have functional limitations and require skilled nursing home care. Function, assessed using activities of daily living (ADL) scores, may help prognostication. We investigated the relationship between ADL impairment and overall survival among older patients with advanced non-small-cell lung cancer (NSCLC) receiving care in nursing homes. METHODS Using the SEER-Medicare database linked with Minimum Data Set assessments, we identified patients age 65 years and older with NSCLC who received care in nursing homes from 2011 to 2015. We used Cox regression and Kaplan-Meier survival curves to examine the relationship between ADL scores and overall survival among all patients; among patients who received systemic cancer chemotherapy or immunotherapy within 3 months of NSCLC diagnosis; and among patients who did not receive any treatment. RESULTS We included 3,174 patients (mean [standard deviation] age, 77 [7.4] years [range, 65-102 years]; 1,664 [52.4%] of female sex; 394 [12.4%] of non-Hispanic Black race/ethnicity), 415 (13.1%) of whom received systemic therapy, most commonly with carboplatin-based regimens (n = 357 [86%] patients). The median overall survival was 3.1 months for patients with ADL score < 14, 2.8 months for patients with ADL score between 14 and 17, 2.3 months for patients with ADL score between 18-19, and 1.8 months for patients with ADL score 20+ (log-rank P < .001). The ADL score was associated with increased risk of death (hazard ratio [HR], 1.20; 95% CI, 1.16 to 1.25 per standard deviation). One standard deviation increase in the ADL score was associated with lower overall survival rate among treated (HR, 1.14; 95% CI, 1.02 to 1.27) and untreated (HR, 1.20; 95% CI, 1.15 to 1.26) patients. CONCLUSION ADL assessment stratified mortality outcomes among older nursing home adults with NSCLC, and may be a useful clinical consideration in this population.
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Affiliation(s)
- Michael A. Liu
- Warren Alpert Medical School of Brown University, Providence, RI
| | - Tamra Keeney
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI
- Mongan Institute Center for Aging and Serious Illness, Massachusetts General Hospital, Boston, MA
- Division of Palliative Care and Geriatric Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Alexa Papaila
- Warren Alpert Medical School of Brown University, Providence, RI
| | - Jessica Ogarek
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI
- Deceased
| | - Humera Khurshid
- Warren Alpert Medical School of Brown University, Providence, RI
| | | | - Adam Olszewski
- Warren Alpert Medical School of Brown University, Providence, RI
| | - Emmanuelle Bélanger
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI
| | - Orestis A. Panagiotou
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI
- Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, RI
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11
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Elkrief A, Hennessy C, Kuderer NM, Rubinstein SM, Wulff-Burchfield E, Rosovsky RP, Vega-Luna K, Thompson MA, Panagiotou OA, Desai A, Rivera DR, Khaki AR, Tachiki L, Lynch RC, Stratton C, Elias R, Batist G, Kasi A, Shah DP, Bakouny Z, Cabal A, Clement J, Crowell J, Dixon B, Friese CR, Fry SL, Grover P, Gulati S, Gupta S, Hwang C, Khan H, Kim SJ, Klein EJ, Labaki C, McKay RR, Nizam A, Pennell NA, Puc M, Schmidt AL, Shahrokni A, Shaya JA, Su CT, Wall S, Williams N, Wise-Draper TM, Mishra S, Grivas P, French B, Warner JL, Wildes TM. Geriatric risk factors for serious COVID-19 outcomes among older adults with cancer: a cohort study from the COVID-19 and Cancer Consortium. Lancet Healthy Longev 2022; 3:e143-e152. [PMID: 35187516 PMCID: PMC8843069 DOI: 10.1016/s2666-7568(22)00009-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Older age is associated with poorer outcomes of SARS-CoV-2 infection, although the heterogeneity of ageing results in some older adults being at greater risk than others. The objective of this study was to quantify the association of a novel geriatric risk index, comprising age, modified Charlson comorbidity index, and Eastern Cooperative Oncology Group performance status, with COVID-19 severity and 30-day mortality among older adults with cancer. METHODS In this cohort study, we enrolled patients aged 60 years and older with a current or previous cancer diagnosis (excluding those with non-invasive cancers and premalignant or non-malignant conditions) and a current or previous laboratory-confirmed COVID-19 diagnosis who reported to the COVID-19 and Cancer Consortium (CCC19) multinational, multicentre, registry between March 17, 2020, and June 6, 2021. Patients were also excluded for unknown age, missing data resulting in unknown geriatric risk measure, inadequate data quality, or incomplete follow-up resulting in unknown COVID-19 severity. The exposure of interest was the CCC19 geriatric risk index. The primary outcome was COVID-19 severity and the secondary outcome was 30-day all-cause mortality; both were assessed in the full dataset. Adjusted odds ratios (ORs) and 95% CIs were estimated from ordinal and binary logistic regression models. FINDINGS 5671 patients with cancer and COVID-19 were included in the analysis. Median follow-up time was 56 days (IQR 22-120), and median age was 72 years (IQR 66-79). The CCC19 geriatric risk index identified 2365 (41·7%) patients as standard risk, 2217 (39·1%) patients as intermediate risk, and 1089 (19·2%) as high risk. 36 (0·6%) patients were excluded due to non-calculable geriatric risk index. Compared with standard-risk patients, high-risk patients had significantly higher COVID-19 severity (adjusted OR 7·24; 95% CI 6·20-8·45). 920 (16·2%) of 5671 patients died within 30 days of a COVID-19 diagnosis, including 161 (6·8%) of 2365 standard-risk patients, 409 (18·5%) of 2217 intermediate-risk patients, and 350 (32·1%) of 1089 high-risk patients. High-risk patients had higher adjusted odds of 30-day mortality (adjusted OR 10·7; 95% CI 8·54-13·5) than standard-risk patients. INTERPRETATION The CCC19 geriatric risk index was strongly associated with COVID-19 severity and 30-day mortality. Our CCC19 geriatric risk index, based on readily available clinical factors, might provide clinicians with an easy-to-use risk stratification method to identify older adults most at risk for severe COVID-19 as well as mortality. FUNDING US National Institutes of Health National Cancer Institute Cancer Center.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Orestis A Panagiotou
- Department of Health Services Policy and Practice, Brown University School of Public Health, Providence, RI, USA
| | | | | | | | - Lisa Tachiki
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle Cancer Care Alliance, Seattle, WA, USA
| | - Ryan C Lynch
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle Cancer Care Alliance, Seattle, WA, USA
| | - Catherine Stratton
- Yale Cancer Center at Yale University School of Medicine, New Haven, CT, USA
| | - Rawad Elias
- Hartford Healthcare Cancer Institute, Hartford, CT, USA
| | - Gerald Batist
- Segal Cancer Centre, Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - Anup Kasi
- The University of Kansas Medical Center, Kansas City, KS, USA
| | - Dimpy P Shah
- Mays Cancer Center at UT Health San Antonio MD Anderson Cancer Center, San Antonio, TX, USA
| | | | - Angelo Cabal
- Moores Comprehensive Cancer Center at the University of California, San Diego (UCSD), San Diego, CA, USA
| | | | | | | | | | - Stacy L Fry
- University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Punita Grover
- University of Cincinnati Cancer Center, Cincinnati, OH, USA
| | - Shuchi Gulati
- University of Cincinnati Cancer Center, Cincinnati, OH, USA
| | - Shilpa Gupta
- Cleveland Clinic Taussig Cancer Institute, Cleveland, OH, USA
| | - Clara Hwang
- Henry Ford Cancer Institute, Henry Ford Hospital, Detroit, MI, USA
| | - Hina Khan
- The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Soo Jung Kim
- Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Elizabeth J Klein
- The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Rana R McKay
- Moores Comprehensive Cancer Center at the University of California, San Diego (UCSD), San Diego, CA, USA
| | - Amanda Nizam
- Cleveland Clinic Taussig Cancer Institute, Cleveland, OH, USA
| | | | | | | | | | - Justin A Shaya
- Moores Comprehensive Cancer Center at the University of California, San Diego (UCSD), San Diego, CA, USA
| | | | - Sarah Wall
- The Ohio State University, Columbus, OH, USA
| | | | | | - Sanjay Mishra
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Petros Grivas
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle Cancer Care Alliance, Seattle, WA, USA
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Wulff-Burchfield E. Supportive and Palliative Care for Genitourinary Malignancies. Urol Oncol 2022. [DOI: 10.1007/978-3-030-89891-5_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Emamekhoo H, Hester D, Abbasi S, Eickhoff J, Bice T, Archaya L, Jeager E, Ornstein M, Pirasteh A, Barata P, Zakharia Y, Kilari D, Wulff-Burchfield E, Kyriakopoulos C. 294 Evaluation of radiographic response in the intact renal mass (intact-Rmass) to immune checkpoint inhibitor (ICI) combination regimens in patients with metastatic renal cell carcinoma (mRCC). J Immunother Cancer 2021. [DOI: 10.1136/jitc-2021-sitc2021.294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
BackgroundAs most of the patients previously enrolled in trials had nephrectomy before starting systemic treatment (syst-Rx), the response of the intact-Rmass to novel ICI and tyrosine kinase inhibitor (TKI) combination regimens is not well described.MethodsA retrospective review of 227 patients with mRCC who were treated with ICI (single agent or combinations) in the 1st- or 2nd-line was conducted. Following the appropriate regulatory process, collaborators from 6 US sites collected clinical, pathological, and outcome data via chart review. Overall response was investigator-assessed for all patients with at least one post-treatment scan or evidence of clinical progression after treatment initiation. Overall radiographic response (ORR) represents any radiographic response in the metastatic disease per investigator’s assessment. To accurately assess response in intact-Rmass, 3-dimensional measurement of the intact-Rmass was performed and Rmass volume was calculated at baseline and at the time of best overall response for 1st- and 2nd-line therapy. Radiographic response in intact-Rmass is defined as >30% decrease in the Rmass volume.ResultsMedian age at diagnosis was 62 years, 69% were male, 82% had clear cell histology. 15% and 12% had sarcomatoid and rhabdoid features, respectively. Overall, 82 patients (36%) had a measurable intact-Rmass while receiving syst-Rx. 63 (28%) patients never had a nephrectomy, and 10 (4%) patients had delayed nephrectomy after a good overall response to syst-Rx. 108 (48%) received ICI in 1st-line (88/108 received ipilimumab/nivolumab combination). 91 (40%), and 18 (8%) patients received TKI, or ICI+TKI in 1st-line. 161 (71%) and 86 (38%) of the patients received 2nd-line and 3rd-line therapy, respectively. 104 (46%) received ICI in 2nd-line (75/104 treated with single-agent ICI). 48 (21%), and 4 (2%) patients received TKI, or ICI+TKI in 2nd-line. Radiographic response in intact-Rmass for evaluable patients is summarized in table 1. The highest response rates in intact-Rmass were seen with ICI+TKI combinations. Higher rates of radiographic response in intact-Rmass were seen in patients treated with ICI in 1st-line compared to 2nd-line, possibly related to higher usage of ICI combinations (ipilimumab/nivolumab) in 1st-line. Overall metastatic disease response to different regimens in the 1st-line or 2nd-line was not different based on the history of nephrectomy prior to syst-Rx (table 2).Abstract 294 Table 1Radiographic response (≥30% decrease in volume) in the intact renal massAbstract 294 Table 2Overall radiographic response (ORR) per investigator assessmentConclusionsHigher radiographic response rates in the intact-Rmass were seen in patients treated with ICI+TKI and ICI in the 1st-line. There was no significant difference in overall metastatic disease response to 1st- or 2nd-line treatment based on the history of nephrectomy prior to syst-Rx.Ethics ApprovalEach of the 6 participating centers had their IRB approved protocol for retrospective study and data collection. Data Use Agreements were obtained for each center to share limited data set data with University of Wisconsin - Madison (IRB protocol UW17148 # 2018–0213). Final analysis was performed at University of Wisconsin.Consent not applicable to retrospective studies.
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Affiliation(s)
- Robin Park
- Department of Medicine, MetroWest Medical Center/Tufts University School of Medicine, Framingham, MA 01702, USA
| | - Elizabeth Wulff-Burchfield
- Department of Medicine, Kansas University Cancer Center, Division of Medical Oncology, Kansas City, KS 66205, USA
| | - Weijing Sun
- Department of Medicine, Kansas University Cancer Center, Division of Medical Oncology, Kansas City, KS 66205, USA
| | - Anup Kasi
- Department of Medicine, Kansas University Cancer Center, Division of Medical Oncology, Kansas City, KS 66205, USA
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Wulff-Burchfield E, Spoozak L, Finlay E. Palliative Chemotherapy and the Surgical Oncologist. Surg Oncol Clin N Am 2021; 30:545-561. [PMID: 34053668 DOI: 10.1016/j.soc.2021.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Outcomes are improving for patients with advanced cancer, in part because of increasing diversity and efficacy of systemic therapy, often described as "palliative chemotherapy." Patients with advanced cancer receiving systemic treatment sometimes require surgical interventions, and their cancer care teams must collaborate to optimally manage medical and surgical challenges while also considering patients' goals and values. Structured communication can overcome the inherent ambiguity of the term "palliative chemotherapy" and facilitate optimal quality of care and quality of life for patients with advanced cancer who require surgical interventions.
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Affiliation(s)
- Elizabeth Wulff-Burchfield
- Division of Medical Oncology, University of Kansas Medical Center, Kansas City, KS, USA; Division of Palliative Medicine, University of Kansas Medical Center, Kansas City, KS, USA; The University of Kansas Medical Center, 2330 Shawnee Mission Pkwy, Mail Stop 5003, Westwood, KS 66205, USA
| | - Lori Spoozak
- Division of Gynecologic Oncology, University of Kansas Medical Center, 3901 Rainbow, MS 2028, Kansas City, KS 66160, USA; Division of Palliative Medicine, University of Kansas Medical Center, 3901 Rainbow, MS 2028, Kansas City, KS 66160, USA
| | - Esmé Finlay
- Department of Internal Medicine, Division of Palliative Medicine, University of New Mexico School of Medicine, The University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA.
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Zganjar A, Glavin K, Mann K, Dahlgren A, Thompson J, Wulff-Burchfield E, Wyre H, Lee E, Taylor J, Holzbeierlein J, Mirza M. Intensive preoperative ostomy education for the radical cystectomy patient. Urol Oncol 2021; 40:481-486. [PMID: 34140243 DOI: 10.1016/j.urolonc.2021.04.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 02/22/2021] [Accepted: 04/14/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Patients undergoing radical cystectomy with ileal conduit formation usually receive training on the use of their stoma during their initial hospitalization - while actively recovering from surgery - often with little follow-up or reinforcement. Many of these patients are not equipped to deal with these significant body changes, which can lead to additional clinic visits, stoma-related complications, and decreased patient satisfaction/health-related quality of life (HRQOL). In an effort to improve patient education, we sought to evaluate the feasibility of implementing a preoperative comprehensive stoma education session termed the "stoma bootcamp" for patients scheduled for a radical cystectomy and ileal conduit (RCIC). We tracked patient related outcomes to determine its impact. METHODS We performed a longitudinal, quality-improvement feasibility study at the University of Kansas Health System. All patients who were scheduled to undergo a RCIC for bladder cancer were offered enrollment into the study at their preoperative clinic visit. The "stoma boot camp" consisted of a 3-hour group session within 2 weeks of the surgery date. Patients were given a short presentation by residents and advanced practice providers regarding the operation, recovery, and expectations for their post-operative care. Ostomy nurses then demonstrated basic urostomy care - pouching, sizing, emptying - along with trouble-shooting tips for common ostomy problems. Measurements of HRQOL questionnaires were completed at the initial visit, after "boot camp," and at defined time points after surgery for 12 weeks. This included using an ostomy adjustment score. Length of stay, unplanned stoma-related interventions, and re-admissions within 30 days were also tracked. RESULTS In this initial pilot program, 51 patients participated in the stoma bootcamp. The patients had an average ostomy adjustment score (OAS) of 150.4 (95% CI 142.0, 158.8) at discharge from the hospital, and these high OAS levels persisted throughout the 12 weeks of follow-up data without any significant decline. Short-form 36 (SF-36) scores demonstrated numerical improvements in each individual category at the 6-week mark above baseline. These improvements persisted at the 12-week mark. CONCLUSIONS In this study we were able to establish the feasibility of implementing a preoperative comprehensive stoma education session for patients scheduled for a RCIC. Additionally, we were able to document favorable HRQOL data and improved ostomy adjustment scores surrounding the education session.
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Affiliation(s)
- Andrew Zganjar
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160
| | - Katie Glavin
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160
| | - Kathleen Mann
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160
| | - Alexandra Dahlgren
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160
| | - Jeffrey Thompson
- University of Kansas Medical Center - Department of Biostatistics & Data Science, 2000 Olathe Blvd. Kansas City, KS 66160
| | | | - Hadley Wyre
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160
| | - Eugene Lee
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160
| | - John Taylor
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160
| | - Jeffrey Holzbeierlein
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160
| | - Moben Mirza
- University of Kansas Medical Center - Department of Urology, 2000 Olathe Blvd. Kansas City, KS 66160.
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Grivas P, Khaki AR, Wise-Draper TM, French B, Hennessy C, Hsu CY, Shyr Y, Li X, Choueiri TK, Painter CA, Peters S, Rini BI, Thompson MA, Mishra S, Rivera DR, Acoba JD, Abidi MZ, Bakouny Z, Bashir B, Bekaii-Saab T, Berg S, Bernicker EH, Bilen MA, Bindal P, Bishnoi R, Bouganim N, Bowles DW, Cabal A, Caimi PF, Chism DD, Crowell J, Curran C, Desai A, Dixon B, Doroshow DB, Durbin EB, Elkrief A, Farmakiotis D, Fazio A, Fecher LA, Flora DB, Friese CR, Fu J, Gadgeel SM, Galsky MD, Gill DM, Glover MJ, Goyal S, Grover P, Gulati S, Gupta S, Halabi S, Halfdanarson TR, Halmos B, Hausrath DJ, Hawley JE, Hsu E, Huynh-Le M, Hwang C, Jani C, Jayaraj A, Johnson DB, Kasi A, Khan H, Koshkin VS, Kuderer NM, Kwon DH, Lammers PE, Li A, Loaiza-Bonilla A, Low CA, Lustberg MB, Lyman GH, McKay RR, McNair C, Menon H, Mesa RA, Mico V, Mundt D, Nagaraj G, Nakasone ES, Nakayama J, Nizam A, Nock NL, Park C, Patel JM, Patel KG, Peddi P, Pennell NA, Piper-Vallillo AJ, Puc M, Ravindranathan D, Reeves ME, Reuben DY, Rosenstein L, Rosovsky RP, Rubinstein SM, Salazar M, Schmidt AL, Schwartz GK, Shah MR, Shah SA, Shah C, Shaya JA, Singh SRK, Smits M, Stockerl-Goldstein KE, Stover DG, Streckfuss M, Subbiah S, Tachiki L, Tadesse E, Thakkar A, Tucker MD, Verma AK, Vinh DC, Weiss M, Wu JT, Wulff-Burchfield E, Xie Z, Yu PP, Zhang T, Zhou AY, Zhu H, Zubiri L, Shah DP, Warner JL, Lopes G. Association of clinical factors and recent anticancer therapy with COVID-19 severity among patients with cancer: a report from the COVID-19 and Cancer Consortium. Ann Oncol 2021; 32:787-800. [PMID: 33746047 PMCID: PMC7972830 DOI: 10.1016/j.annonc.2021.02.024] [Citation(s) in RCA: 202] [Impact Index Per Article: 67.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/18/2021] [Accepted: 02/28/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Patients with cancer may be at high risk of adverse outcomes from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We analyzed a cohort of patients with cancer and coronavirus 2019 (COVID-19) reported to the COVID-19 and Cancer Consortium (CCC19) to identify prognostic clinical factors, including laboratory measurements and anticancer therapies. PATIENTS AND METHODS Patients with active or historical cancer and a laboratory-confirmed SARS-CoV-2 diagnosis recorded between 17 March and 18 November 2020 were included. The primary outcome was COVID-19 severity measured on an ordinal scale (uncomplicated, hospitalized, admitted to intensive care unit, mechanically ventilated, died within 30 days). Multivariable regression models included demographics, cancer status, anticancer therapy and timing, COVID-19-directed therapies, and laboratory measurements (among hospitalized patients). RESULTS A total of 4966 patients were included (median age 66 years, 51% female, 50% non-Hispanic white); 2872 (58%) were hospitalized and 695 (14%) died; 61% had cancer that was present, diagnosed, or treated within the year prior to COVID-19 diagnosis. Older age, male sex, obesity, cardiovascular and pulmonary comorbidities, renal disease, diabetes mellitus, non-Hispanic black race, Hispanic ethnicity, worse Eastern Cooperative Oncology Group performance status, recent cytotoxic chemotherapy, and hematologic malignancy were associated with higher COVID-19 severity. Among hospitalized patients, low or high absolute lymphocyte count; high absolute neutrophil count; low platelet count; abnormal creatinine; troponin; lactate dehydrogenase; and C-reactive protein were associated with higher COVID-19 severity. Patients diagnosed early in the COVID-19 pandemic (January-April 2020) had worse outcomes than those diagnosed later. Specific anticancer therapies (e.g. R-CHOP, platinum combined with etoposide, and DNA methyltransferase inhibitors) were associated with high 30-day all-cause mortality. CONCLUSIONS Clinical factors (e.g. older age, hematological malignancy, recent chemotherapy) and laboratory measurements were associated with poor outcomes among patients with cancer and COVID-19. Although further studies are needed, caution may be required in utilizing particular anticancer therapies. CLINICAL TRIAL IDENTIFIER NCT04354701.
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Affiliation(s)
- P Grivas
- University of Washington/Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance, Seattle, USA.
| | - A R Khaki
- University of Washington/Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance, Seattle, USA; Stanford University, Stanford, USA
| | | | - B French
- Vanderbilt University Medical Center, Nashville, USA
| | - C Hennessy
- Vanderbilt University Medical Center, Nashville, USA
| | - C-Y Hsu
- Vanderbilt University Medical Center, Nashville, USA
| | - Y Shyr
- Vanderbilt University Medical Center, Nashville, USA
| | - X Li
- Vanderbilt University School of Medicine, Nashville, USA
| | | | - C A Painter
- Broad Institute, Cancer Program, Cambridge, USA
| | - S Peters
- Lausanne University, Lausanne, Switzerland
| | - B I Rini
- Vanderbilt University Medical Center, Nashville, USA
| | | | - S Mishra
- Vanderbilt University Medical Center, Nashville, USA
| | - D R Rivera
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, USA
| | - J D Acoba
- University of Hawaii Cancer Center, Honolulu, USA
| | - M Z Abidi
- University of Colorado School of Medicine, Aurora, USA
| | - Z Bakouny
- Dana-Farber Cancer Institute, Boston, USA
| | - B Bashir
- Sidney Kimmel Cancer Center at Thomas Jefferson University, Philadelphia, USA
| | | | - S Berg
- Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, USA
| | | | - M A Bilen
- Winship Cancer Institute of Emory University, Atlanta, USA
| | - P Bindal
- Beth Israel Deaconess Medical Center, Boston, USA
| | - R Bishnoi
- University of Florida, Gainesville, USA
| | - N Bouganim
- McGill University Health Centre, Montréal, Canada
| | - D W Bowles
- University of Colorado School of Medicine, Aurora, USA
| | - A Cabal
- University of California San Diego, Moores Cancer Center, La Jolla, USA
| | - P F Caimi
- University Hospitals Seidman Cancer Center, Cleveland, USA; Case Western Reserve University, Cleveland, USA
| | - D D Chism
- Thompson Cancer Survival Center, Knoxville, USA
| | - J Crowell
- St. Elizabeth Healthcare, Edgewood, USA
| | - C Curran
- Dana-Farber Cancer Institute, Boston, USA
| | - A Desai
- Mayo Clinic Cancer Center, Rochester, USA
| | - B Dixon
- St. Elizabeth Healthcare, Edgewood, USA
| | - D B Doroshow
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - E B Durbin
- Markey Cancer Center, University of Kentucky, Lexington, USA
| | - A Elkrief
- McGill University Health Centre, Montréal, Canada
| | - D Farmakiotis
- The Warren Alpert Medical School of Brown University, Providence, USA
| | - A Fazio
- Tufts Medical Center Cancer Center, Boston and Stoneham, USA
| | - L A Fecher
- University of Michigan Rogel Cancer Center, Ann Arbor, USA
| | - D B Flora
- St. Elizabeth Healthcare, Edgewood, USA
| | - C R Friese
- University of Michigan Rogel Cancer Center, Ann Arbor, USA
| | - J Fu
- Tufts Medical Center Cancer Center, Boston and Stoneham, USA
| | - S M Gadgeel
- Henry Ford Cancer Institute/Henry Ford Health System, Detroit, USA
| | - M D Galsky
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - D M Gill
- Intermountain Healthcare, Salt Lake City, USA
| | | | - S Goyal
- George Washington University, Washington DC, USA
| | - P Grover
- University of Cincinnati Cancer Center, Cincinnati, USA
| | - S Gulati
- University of Cincinnati Cancer Center, Cincinnati, USA
| | - S Gupta
- Cleveland Clinic Taussig Cancer Institute, Cleveland, USA
| | | | | | - B Halmos
- Albert Einstein Cancer Center/Montefiore Medical Center, Bronx, USA
| | - D J Hausrath
- Vanderbilt University School of Medicine, Nashville, USA
| | - J E Hawley
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, USA
| | - E Hsu
- Hartford HealthCare, Hartford, USA; University of Connecticut, Farmington, USA
| | - M Huynh-Le
- George Washington University, Washington DC, USA
| | - C Hwang
- Henry Ford Cancer Institute/Henry Ford Health System, Detroit, USA
| | - C Jani
- Mount Auburn Hospital, Cambridge, USA
| | | | - D B Johnson
- Vanderbilt University Medical Center, Nashville, USA
| | - A Kasi
- University of Kansas Medical Center, Kansas City, USA
| | - H Khan
- The Warren Alpert Medical School of Brown University, Providence, USA
| | - V S Koshkin
- University of California, San Francisco, San Francisco, USA
| | - N M Kuderer
- Advanced Cancer Research Group, LLC, Kirkland, USA
| | - D H Kwon
- University of California, San Francisco, San Francisco, USA
| | | | - A Li
- Baylor College of Medicine, Houston, USA
| | | | - C A Low
- Intermountain Healthcare, Salt Lake City, USA
| | | | - G H Lyman
- University of Washington/Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance, Seattle, USA
| | - R R McKay
- University of California San Diego, Moores Cancer Center, La Jolla, USA
| | - C McNair
- Sidney Kimmel Cancer Center at Thomas Jefferson University, Philadelphia, USA
| | - H Menon
- Penn State Health/Penn State Cancer Institute/St. Joseph Cancer Center, Hershey, USA
| | - R A Mesa
- Mays Cancer Center at UT Health San Antonio MD Anderson, San Antonio, USA
| | - V Mico
- Sidney Kimmel Cancer Center at Thomas Jefferson University, Philadelphia, USA
| | - D Mundt
- Advocate Aurora Health, Milwaukee, USA
| | - G Nagaraj
- Loma Linda University Cancer Center, Loma Linda, USA
| | - E S Nakasone
- University of Washington/Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance, Seattle, USA
| | - J Nakayama
- Case Western Reserve University, Cleveland, USA; University Hospitals Cleveland Medical Center, Cleveland, USA
| | - A Nizam
- Cleveland Clinic Taussig Cancer Institute, Cleveland, USA
| | - N L Nock
- University Hospitals Seidman Cancer Center, Cleveland, USA; Case Western Reserve University, Cleveland, USA
| | - C Park
- University of Cincinnati Cancer Center, Cincinnati, USA
| | - J M Patel
- Beth Israel Deaconess Medical Center, Boston, USA
| | - K G Patel
- University of California Davis Comprehensive Cancer Center, Sacramento, USA
| | - P Peddi
- Willis-Knighton Cancer Center, Shreveport, USA
| | - N A Pennell
- Cleveland Clinic Taussig Cancer Institute, Cleveland, USA
| | | | - M Puc
- Virtua Health, Marlton, USA
| | | | - M E Reeves
- Loma Linda University Cancer Center, Loma Linda, USA
| | - D Y Reuben
- Medical University of South Carolina, Charleston, USA
| | | | - R P Rosovsky
- Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | | | - M Salazar
- Mays Cancer Center at UT Health San Antonio MD Anderson, San Antonio, USA
| | | | - G K Schwartz
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, USA
| | - M R Shah
- Rutgers Cancer Institute of New Jersey, New Brunswick, USA
| | - S A Shah
- Stanford University, Stanford, USA
| | - C Shah
- University of Florida, Gainesville, USA
| | - J A Shaya
- University of California San Diego, Moores Cancer Center, La Jolla, USA
| | - S R K Singh
- Henry Ford Cancer Institute/Henry Ford Health System, Detroit, USA
| | - M Smits
- ThedaCare Regional Cancer Center, Appleton, USA
| | | | - D G Stover
- The Ohio State University, Columbus, USA
| | | | - S Subbiah
- Stanley S. Scott Cancer Center, LSU Health Sciences Center, New Orleans, USA
| | - L Tachiki
- University of Washington/Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance, Seattle, USA
| | - E Tadesse
- Advocate Aurora Health, Milwaukee, USA
| | - A Thakkar
- Albert Einstein Cancer Center/Montefiore Medical Center, Bronx, USA
| | - M D Tucker
- Vanderbilt University Medical Center, Nashville, USA
| | - A K Verma
- Albert Einstein Cancer Center/Montefiore Medical Center, Bronx, USA
| | - D C Vinh
- McGill University Health Centre, Montréal, Canada
| | - M Weiss
- ThedaCare Regional Cancer Center, Appleton, USA
| | - J T Wu
- Stanford University, Stanford, USA
| | | | - Z Xie
- Mayo Clinic Cancer Center, Rochester, USA
| | - P P Yu
- Hartford HealthCare, Hartford, USA
| | - T Zhang
- Duke University, Durham, USA
| | - A Y Zhou
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
| | - H Zhu
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, USA
| | - L Zubiri
- Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - D P Shah
- Mays Cancer Center at UT Health San Antonio MD Anderson, San Antonio, USA
| | - J L Warner
- Vanderbilt University Medical Center, Nashville, USA
| | - GdL Lopes
- University of Miami/Sylvester Comprehensive Cancer Center, Miami, USA
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18
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Panagiotou OA, Keeney T, Ogarek JA, Wulff-Burchfield E, Olszewski AJ, Bélanger E. Prevalence of functional limitations and their associations with systemic cancer therapy among older adults in nursing homes with advanced non-small cell lung cancer. J Geriatr Oncol 2021; 12:765-770. [PMID: 33610505 PMCID: PMC8184570 DOI: 10.1016/j.jgo.2021.02.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 01/25/2021] [Accepted: 02/05/2021] [Indexed: 01/07/2023]
Abstract
OBJECTIVES To determine the relationship of self-care task disabilities with the use of systemic cancer therapies for advanced non-small cell lung cancer (NSCLC) in nursing home patients. MATERIALS AND METHODS Using the Surveillance, Epidemiology, and End Results-Medicare database linked with Minimum Data Set assessments, we identified nursing home residents with advanced NSCLC from 2011 to 2015. We considered disability in activities of daily living (ADL) including dressing, personal hygiene, toilet use, locomotion on unit, transfer, bed mobility, and eating. We estimated the association between ADL disabilities and receipt of systemic cancer therapies within 3 months of diagnosis. RESULTS Of the 3174 patients, 2702 (85.2%) experienced disability in one or more ADLs and 64.7% had disability in 5-7 ADLs. A total of 415 (13.1%) patients received systemic therapy. There was a strong association between disability in each ADL and receipt of therapy including dressing (OR, 0.52 [95% CI, 0.42-0.65]), toileting (odds ratio, OR, 0.52 [95% confidence interval, CI, 0.42-0.65]), personal hygiene (OR, 0.48 [95% CI, 0.39-0.59]), transfers (OR, 0.51 [95% CI, 0.41-0.64]), bed mobility (OR, 0.55 [95% CI, 0.44-0.69]), locomotion (OR, 0.57 [95% CI, 0.46-0.71]), or eating (OR, 0.45 [95% CI, 0.31-0.67]). Compared to patients having no ADL disability, patients were less likely to receive chemotherapy if they had disability in 1-2 ADLs (OR, 0.95 [95% CI, 0.66-1.37]), 3-4 ADLs (OR, 0.81 [95% CI, 0.56-1.15]), or 5-7 ADLs (OR, 0.43 [95% CI, 0.33-0.56]). CONCLUSIONS Systemic cancer therapy is not commonly used in this population and is strongly predicted by disability in self-care tasks.
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Affiliation(s)
- Orestis A Panagiotou
- Department of Health Services, Policy and Practice, Brown University School of Public Health, RI, United States of America; Center for Gerontology and Healthcare Research, Brown University School of Public Health, RI, United States of America; Center for Evidence Synthesis in Health, Brown University School of Public Health, RI, United States of America; Providence VA Medical Center, Providence, RI, United States of America.
| | - Tamra Keeney
- Department of Health Services, Policy and Practice, Brown University School of Public Health, RI, United States of America; Center for Gerontology and Healthcare Research, Brown University School of Public Health, RI, United States of America; Division of Palliative Care and Geriatric Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Jessica A Ogarek
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, RI, United States of America
| | - Elizabeth Wulff-Burchfield
- Department of Medicine, University of Kansas Medical Center, Kansas City, Kansas, United States of America
| | - Adam J Olszewski
- Warren Alpert Medical School of Brown University, Providence, RI, United States of America
| | - Emmanuelle Bélanger
- Department of Health Services, Policy and Practice, Brown University School of Public Health, RI, United States of America; Center for Gerontology and Healthcare Research, Brown University School of Public Health, RI, United States of America
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19
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Sun W, Godwin AK, Mehta K, Streeter N, Wulff-Burchfield E, Kasi A, Lin TL, Baranda J, McGuirk J, Pessetto Z, Pessetto A, Broome B, Tsue T, Jensen R. Abstract P13: Prospective voluntary SARS-CoV-2 virus and anti-COVID-19 antibody tests in asymptomatic medical and research staff who work in direct contact with cancer patients: A single center study. Clin Cancer Res 2021. [DOI: 10.1158/1557-3265.covid-19-21-p13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background The SARS–CoV-2 pandemic has assaulted all aspects of daily life. Medical professionals in oncology face additional challenges with balancing prompt cancer diagnosis and urgent treatment against potential COVID-19 exposure risk in these high-risk patients. We designed this prospective freewill study to offer testing for SAR2-CoV-2 viral RNA and/or anti-COVID-19, respectively in asymptomatic medical and research staff who work in direct contact with cancer patients. The overall goal was to evaluate the prevalence of infection in this group of asymptomatic healthcare providers to reduce exposure of cancer patients to asymptomatic staff. Methods Asymptomatic medical and research staff who work in direct contact with cancer patients were asked to voluntarily be tested for either SARS–CoV-2 viral RNA or antibodies or both. Either NP swabs and/or blood samples (EDTA tube) were collected. Tests are performed at Sinochips Kansas LLC, Sinochips Diagnostics (CLIA number:17D2176068, CAP number: 8709463). The PCR test is performed with FDA authorized 2019-Novel Coronavirus (2019-nCoV) Real-Time RT-PCR Diagnostic Panel EUA. The Elecsys® Anti-SARS-CoV-2 (Roche Diagnostics) immunoassay was used to qualitative detection of antibodies to SARS-CoV-2 in human plasma. Results From 06/18/2020 to 12/18/2020, 861 participated in the study. 1095 tests were completed for SAR2-CoV-2 virus infection, and 918 were completed for antibody. Amount participants, 530 had both virus and antibody tested. 235 were tested more than once for viral infection and 166 were tested more than once for the antibody. Median age of participants was 39 years (IQR 32-51 years). Among these 84.7% were females, 84.4% white, 6.7% African American, 4.8% Asian and 84.7% non-Hispanic. The cumulative incidence of a positive test for the virus was 2.2% (16/712), and for the antibody test was 3.8% (26/679). 5 had both viral and antibody tests positive, with an average time of 4.1 weeks from viral testing positivity to detectable antibody among 3 cases and 2 cases with both viral infection and antibody detected at same time. There were 3 cases virus was detected more than once after turning positive. 2 remained positive at 16 and 22 days after initial test and one turned negative at 36 days as of last follow up. There were 7 cases where the antibody was tested more than once after turning positive and all 7 remained positive as of last follow up (range 7-103 days). Conclusion Prospective voluntary testing in asymptomatic medical and research staff who work in direct contact with cancer patients was feasible and resulted in identification of asymptomatic carriers who then placed in quarantine, thereby limiting exposure to cancer patients. Medical and research staff who work with cancer patients are general very cautious and the frequency of infections were significantly lower than general society. In addition, it seems that 1) virus and antibody may co-exist in the same person after exposure, and 2) the antibody may last for a relatively long time.
Citation Format: Weijing Sun, Andrew K. Godwin, Kathan Mehta, Natalie Streeter, Elizabeth Wulff-Burchfield, Anup Kasi, Tara L. Lin, Joaquina Baranda, Joseph McGuirk, Ziyan Pessetto, Adam Pessetto, B.J. Broome, Terry Tsue, Roy Jensen. Prospective voluntary SARS-CoV-2 virus and anti-COVID-19 antibody tests in asymptomatic medical and research staff who work in direct contact with cancer patients: A single center study [abstract]. In: Proceedings of the AACR Virtual Meeting: COVID-19 and Cancer; 2021 Feb 3-5. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(6_Suppl):Abstract nr P13.
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Affiliation(s)
- Weijing Sun
- 1University of Kansas Cancer Center; University of Kansas Medical Center, Medical Oncology Division, Westwood, KS,
| | - Andrew K. Godwin
- 2University of Kansas Cancer Center; University of Kansas Medical Center, Department of Pathology and Laboratory Medicine, Kansas City, KS,
| | - Kathan Mehta
- 3University of Kansas Medical Center, Westwood, KS,
| | | | - Elizabeth Wulff-Burchfield
- 1University of Kansas Cancer Center; University of Kansas Medical Center, Medical Oncology Division, Westwood, KS,
| | - Anup Kasi
- 1University of Kansas Cancer Center; University of Kansas Medical Center, Medical Oncology Division, Westwood, KS,
| | - Tara L. Lin
- 5University of Kansas Cancer Center; University of Kansas Medical Center, Hematologic Malignancies and Cellular Therapeutics Division, Westwood, KS,
| | - Joaquina Baranda
- 1University of Kansas Cancer Center; University of Kansas Medical Center, Medical Oncology Division, Westwood, KS,
| | - Joseph McGuirk
- 5University of Kansas Cancer Center; University of Kansas Medical Center, Hematologic Malignancies and Cellular Therapeutics Division, Westwood, KS,
| | | | | | - B.J. Broome
- 7University of Kansas Cancer Center, Westwood, KS,
| | - Terry Tsue
- 4University of Kansas Cancer Center, Westwood, KS,
| | - Roy Jensen
- 8University of Kansas Cancer Center, Kansas City, KS
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20
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Affiliation(s)
| | | | - Samuel M Rubinstein
- University of North Carolina, Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
| | - Petros Grivas
- University of Washington, Fred Hutchinson Cancer Research Center, Seattle Cancer Care Alliance, Seattle, WA, USA
| | - Jeremy L Warner
- Vanderbilt University Medical Center, Nashville, TN 37232, USA.
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21
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Park R, Chidharla A, Mehta K, Sun W, Wulff-Burchfield E, Kasi A. Sex-bias in COVID-19-associated illness severity and mortality in cancer patients: A systematic review and meta-analysis. EClinicalMedicine 2020; 26:100519. [PMID: 32864589 PMCID: PMC7445555 DOI: 10.1016/j.eclinm.2020.100519] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 07/27/2020] [Accepted: 08/05/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Whether there is sex-bias within the adverse outcomes associated with COVID-19 in the cancer population is unknown. In this regard, several published studies have examined this question, but the results are inconclusive and inconsistent. To evaluate the sex-difference in the risk of adverse outcomes associated with COVID-19 in the cancer population, we have conducted a systematic review and meta-analysis. METHODS Published articles evaluating adverse outcomes associated with COVID-19 in the cancer population from inception to June 2020 were identified by searching PubMed and EMBASE, ASCO 2020 Virtual Annual Conference, AACR 2020 COVID-19 and Cancer, ESMO conferences held from January to June 2020, and medRxiv and bioRxiv. Prospective or retrospective analyses in English, providing outcomes data with sex differences in the cancer population were included. The primary outcomes of interest were pooled ORs of severe illness, all-cause death, and the composite of severe illness and death attributable to COVID-19 in males versus females in cancer patients. FINDINGS Overall, 3968 patients (17 studies) were analyzed in retrospective study settings. Overall, pooled ORs of the composite of severe illness and all-cause death in the setting of COVID-19 in males versus females was 1.60 (95% CI, 1.38-1.85). The risk of severe illness or death were both independently increased in males versus females. INTERPRETATION Male sex was associated with a higher risk of severe illness and death attributable to COVID-19. This finding has implications in informing the clinical prognosis and decision making in the care of cancer patients. FUNDING This study received no funding.
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Affiliation(s)
- Robin Park
- Department of Medicine, MetroWest Medical Center/Tufts University School of Medicine, Framingham, MA, United States
| | - Anusha Chidharla
- Department of Medicine, University of Illinois at Peoria, Peoria, Illinois, United States
| | - Kathan Mehta
- Department of Medicine, Division of Medical Oncology, Kansas University Medical Center, 2650 Shawnee Mission Pkwy, Kansas City, Kansas 66205, United States
| | - Weijing Sun
- Department of Medicine, Division of Medical Oncology, Kansas University Medical Center, 2650 Shawnee Mission Pkwy, Kansas City, Kansas 66205, United States
| | - Elizabeth Wulff-Burchfield
- Department of Medicine, Division of Medical Oncology, Kansas University Medical Center, 2650 Shawnee Mission Pkwy, Kansas City, Kansas 66205, United States
| | - Anup Kasi
- Department of Medicine, Division of Medical Oncology, Kansas University Medical Center, 2650 Shawnee Mission Pkwy, Kansas City, Kansas 66205, United States
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22
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Ball J, Thompson J, Wulff-Burchfield E, Ellerbeck E, Kimminau K, Brooks JV, Petersen S, Rotich D, Kinney AY, Ellis SD. Precision community: a mixed methods study to identify determinants of adoption and implementation of targeted cancer therapy in community oncology. Implement Sci Commun 2020. [DOI: 10.1186/s43058-020-00064-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Abstract
Background
Precision medicine has enormous potential to improve cancer outcomes. Over one third of the 1.5 million Americans diagnosed with cancer each year have genetic mutations that could be targeted with an FDA-approved drug to treat their disease more effectively. However, the current uptake of targeted cancer therapy in clinical practice is suboptimal. Tumor testing is not widely used, and treatments based on molecular and genomic profiling are often not prescribed when indicated. Challenges with the uptake of precision medicine may disproportionately impact cancer patients in rural communities and other underserved populations. The objective of this study is to identify the determinants of adoption and implementation of precision cancer therapy to design an implementation strategy for community oncology practices, including those in rural areas.
Methods
This study is an explanatory sequential mixed methods study to identify factors associated with the use of targeted cancer therapy. Levels of targeted therapy use will be ascertained by secondary analysis of medical records to identify concordance with 18 national guideline recommendations for use of precision medicine in the treatment of breast, colorectal, lung, and melanoma skin cancer. Concurrently, facilitators and barriers associated with the use of precision cancer therapy will be elicited from interviews with up to a total of 40 oncologists, administrators, pathology, and pharmacy staff across the participating sites. Qualitative analysis will be a template analysis based on the Theoretical Domains Framework. Quantitative data aggregated at the practice level will be used to rank oncology practices’ adherence to targeted cancer therapy guidelines. Determinants will be compared among high and low users to isolate factors likely to facilitate targeted therapy use. The study will be conducted in eight community oncology practices, with an estimated 4121 targeted therapy treatment decision-making opportunities over a 3-year period.
Discussion
Despite unprecedented investment in precision medicine, translation into practice is suboptimal. Our study will identify factors associated with the uptake of precision medicine in community settings. These findings will inform future interventions to increase equitable uptake of evidence-based targeted cancer treatment.
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23
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Kuderer NM, Choueiri TK, Shah DP, Shyr Y, Rubinstein SM, Rivera DR, Shete S, Hsu CY, Desai A, de Lima Lopes G, Grivas P, Painter CA, Peters S, Thompson MA, Bakouny Z, Batist G, Bekaii-Saab T, Bilen MA, Bouganim N, Larroya MB, Castellano D, Del Prete SA, Doroshow DB, Egan PC, Elkrief A, Farmakiotis D, Flora D, Galsky MD, Glover MJ, Griffiths EA, Gulati AP, Gupta S, Hafez N, Halfdanarson TR, Hawley JE, Hsu E, Kasi A, Khaki AR, Lemmon CA, Lewis C, Logan B, Masters T, McKay RR, Mesa RA, Morgans AK, Mulcahy MF, Panagiotou OA, Peddi P, Pennell NA, Reynolds K, Rosen LR, Rosovsky R, Salazar M, Schmidt A, Shah SA, Shaya JA, Steinharter J, Stockerl-Goldstein KE, Subbiah S, Vinh DC, Wehbe FH, Weissmann LB, Wu JTY, Wulff-Burchfield E, Xie Z, Yeh A, Yu PP, Zhou AY, Zubiri L, Mishra S, Lyman GH, Rini BI, Warner JL. Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study. Lancet 2020; 395:1907-1918. [PMID: 32473681 PMCID: PMC7255743 DOI: 10.1016/s0140-6736(20)31187-9] [Citation(s) in RCA: 1193] [Impact Index Per Article: 298.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 05/07/2020] [Accepted: 05/14/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Data on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness. METHODS In this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing. FINDINGS Of 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57-76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1·84, 95% CI 1·53-2·21), male sex (1·63, 1·07-2·48), smoking status (former smoker vs never smoked: 1·60, 1·03-2·47), number of comorbidities (two vs none: 4·50, 1·33-15·28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3·89, 2·11-7·18), active cancer (progressing vs remission: 5·20, 2·77-9·77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2·93, 1·79-4·79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0·24, 0·07-0·84) or the US-Midwest (0·50, 0·28-0·90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality. INTERPRETATION Among patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments. FUNDING American Cancer Society, National Institutes of Health, and Hope Foundation for Cancer Research.
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Affiliation(s)
| | | | - Dimpy P Shah
- Mays Cancer Center, UT Health San Antonio MD Anderson Cancer Center, San Antonio, TX, USA
| | - Yu Shyr
- Vanderbilt-Ingram Cancer Center at Vanderbilt University Medical Center, Nashville, TN, USA
| | - Samuel M Rubinstein
- Vanderbilt-Ingram Cancer Center at Vanderbilt University Medical Center, Nashville, TN, USA
| | - Donna R Rivera
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | | | - Chih-Yuan Hsu
- Vanderbilt-Ingram Cancer Center at Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Petros Grivas
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA; University of Washington, Seattle, WA, USA
| | | | | | | | | | - Gerald Batist
- Segal Cancer Centre, Jewish General Hospital, McGill University, Montreal, QC, Canada
| | | | - Mehmet A Bilen
- Winship Cancer Institute of Emory University, Atlanta, GA, USA
| | | | | | | | | | - Deborah B Doroshow
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pamela C Egan
- The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Arielle Elkrief
- Segal Cancer Centre, Jewish General Hospital, McGill University, Montreal, QC, Canada
| | | | | | - Matthew D Galsky
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | | | - Navid Hafez
- Smilow Cancer Hospital at Yale New Haven, New Haven, CT, USA
| | | | - Jessica E Hawley
- Herbert Irving Comprehensive Cancer Center at Columbia University, New York, NY, USA
| | - Emily Hsu
- University of Connecticut, Farmington, CT, USA; Hartford Health Care, Hartford, CT, USA
| | - Anup Kasi
- University of Kansas Medical Center, Kansas City, KS, USA
| | - Ali R Khaki
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA; University of Washington, Seattle, WA, USA
| | | | - Colleen Lewis
- Winship Cancer Institute of Emory University, Atlanta, GA, USA
| | | | - Tyler Masters
- Smilow Cancer Hospital at Yale New Haven, New Haven, CT, USA
| | - Rana R McKay
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Ruben A Mesa
- Mays Cancer Center, UT Health San Antonio MD Anderson Cancer Center, San Antonio, TX, USA
| | - Alicia K Morgans
- The Robert H Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA
| | - Mary F Mulcahy
- The Robert H Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA
| | | | | | | | - Kerry Reynolds
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Lane R Rosen
- Willis-Knighton Cancer Center, Shreveport, LA, USA
| | - Rachel Rosovsky
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mary Salazar
- Mays Cancer Center, UT Health San Antonio MD Anderson Cancer Center, San Antonio, TX, USA
| | | | | | - Justin A Shaya
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | | | | | - Suki Subbiah
- Stanley S Scott Cancer Center, LSU Health, New Orleans, LA, USA
| | - Donald C Vinh
- McGill University Health Centre, Montreal, QC, Canada
| | - Firas H Wehbe
- The Robert H Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA
| | | | | | | | - Zhuoer Xie
- Mayo Clinic Cancer Center, Rochester, MN, USA
| | - Albert Yeh
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA; University of Washington, Seattle, WA, USA
| | | | - Alice Y Zhou
- Siteman Cancer Center, Washington University School of Medicine, St Louis, MO, USA
| | - Leyre Zubiri
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sanjay Mishra
- Vanderbilt-Ingram Cancer Center at Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gary H Lyman
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA; University of Washington, Seattle, WA, USA
| | - Brian I Rini
- Vanderbilt-Ingram Cancer Center at Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeremy L Warner
- Vanderbilt-Ingram Cancer Center at Vanderbilt University Medical Center, Nashville, TN, USA.
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24
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Affiliation(s)
- Lori Spoozak
- Obstetrics and Gynecology, University of Kansas Cancer Center, Kansas City, KS
| | - Elizabeth Wulff-Burchfield
- Medical Oncology Division and Palliative Medicine Division, Department of Internal Medicine, University of Kansas School of Medicine, University of Kansas Cancer Center, The University of Kansas Health System, Kansas City, KS
| | - Joanna Veazey Brooks
- Department of Population Health, University of Kansas School of Medicine, Kansas City, KS
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25
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Murphy BA, Wulff-Burchfield E, Ghiam M, Bond SM, Deng J. Chronic Systemic Symptoms in Head and Neck Cancer Patients. J Natl Cancer Inst Monogr 2019; 2019:5551355. [DOI: 10.1093/jncimonographs/lgz004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 02/22/2019] [Accepted: 04/01/2019] [Indexed: 12/18/2022] Open
Abstract
AbstractThe systemic effects and manifestations of disease and treatment have been of interest for millennium. Until recently, basic and clinical research is just now reaching a watershed. Systemic symptoms usually do not occur in isolation but rather in clusters; however, much of the cutting-edge research pertaining to the etiology, mechanism, manifestations, and moderators of systemic symptoms in humans has been directed at individual symptoms, thus creating silos of knowledge. Breaching these silos and bridging the knowledge from disparate arenas of investigation to build a comprehensive depiction of acute and chronic systemic symptoms has been a challenge. In addition, much of the recent work in systemic symptoms has been conducted in the setting of nonmalignant disease. The degree to which the findings from other chronic disease processes can be translated into the oncologic realm is unknown. This article will explore inflammation as a major contributing factor to systemic symptoms and sickness behavior, discuss the most common manifestations in cancer survivors, and, where available, discuss specific data pertaining to head and neck cancer survivors.
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Affiliation(s)
- Barbara A Murphy
- Department of Medicine and Division of Hematology-Oncology, Vanderbilt University Medical Center, Nashville, TN
| | - Elizabeth Wulff-Burchfield
- Department of Medicine and Division of Hematology-Oncology, Vanderbilt University Medical Center, Nashville, TN
| | - Michael Ghiam
- Vanderbilt University School of Medicine, Nashville, TN
| | - Stewart M Bond
- William F. Connell School of Nursing, Boston College, Boston, MA
| | - Jie Deng
- School of Nursing, University of Pennsylvania, Philadelphia PA
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Abstract
PURPOSE Neuroinflammation and central sensitization from cancer and its therapy may result in chronic systemic symptoms (CSS) such as fatigue, sleep disturbance, chronic widespread pain, mood disorders, neuropsychiatric symptoms, and temperature dysregulation. We undertook a cross-sectional study of CSS in head and neck cancer (HNC) survivors to determine their frequency, severity, and impact. METHODS HNC patients without evidence of recurrence who were at least 12 months post-treatment completed a one-time battery of self-report measures including the Vanderbilt Head and Neck Symptom survey plus the General Symptom Subscale, the Body Image Quality of Life Inventory, Neurotoxicity Rating Scale, the Profile of Mood States, and a five-item quality of life measure. RESULTS One hundred five patients completed the surveys. Forty-eight point four percent of patients experienced one or more moderate-to-severe systemic symptom. The frequency of individual symptoms was between 20% and 56% with almost half of patients rating symptoms as moderate-to-severe in intensity. Low and high systemic symptom burden populations were identified. Previously undescribed chronic neuropsychiatric symptoms were also found to be frequent and severe. The vigor score on the POMS was low. Body image was not adversely impacted. At least 40% of HNC survivors have diminished quality of life, and up to 15% have a poor quality of life. CONCLUSIONS CSS are common among HNC survivors and are frequently moderate to severe in intensity. Of note, previously underrecognized neuropsychiatric symptoms were endorsed by a significant cohort of patients warranting further study. Quality of life was diminished in a significant cohort.
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Affiliation(s)
- Elizabeth Wulff-Burchfield
- Department of Medicine, Divisions of Medical Oncology and Palliative Medicine, University of Kansas Medical Center, 2330 Shawnee Mission Pkwy, MS 5003, Westwood, KS, 66205, USA.
| | - Mary S Dietrich
- Center for Quantitative Sciences, Vanderbilt University School of Medicine, 2220 Pierce Ave, 571 Preston Research Building, Nashville, TN, 37232, USA
- School of Nursing, Vanderbilt University Medical Center, 461 21st Ave South, Nashville, TN, 37240, USA
| | - Sheila Ridner
- School of Nursing, Vanderbilt University Medical Center, 461 21st Ave South, Nashville, TN, 37240, USA
| | - Barbara A Murphy
- Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center, 2220 Pierce Avenue, 777 Preston Research Building, Nashville, TN, 37232, USA
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27
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Wulff-Burchfield E, Schell WA, Eckhardt AE, Pollack MG, Hua Z, Rouse JL, Pamula VK, Srinivasan V, Benton JL, Alexander BD, Wilfret DA, Kraft M, Cairns CB, Perfect JR, Mitchell TG. Microfluidic platform versus conventional real-time polymerase chain reaction for the detection of Mycoplasma pneumoniae in respiratory specimens. Diagn Microbiol Infect Dis 2010; 67:22-9. [PMID: 20227222 DOI: 10.1016/j.diagmicrobio.2009.12.020] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2009] [Revised: 11/27/2009] [Accepted: 12/22/2009] [Indexed: 10/19/2022]
Abstract
Rapid, accurate diagnosis of community-acquired pneumonia (CAP) due to Mycoplasma pneumoniae is compromised by low sensitivity of culture and serology. Polymerase chain reaction (PCR) has emerged as a sensitive method to detect M. pneumoniae DNA in clinical specimens. However, conventional real-time PCR is not cost-effective for routine or outpatient implementation. Here, we evaluate a novel microfluidic real-time PCR platform (Advanced Liquid Logic, Research Triangle Park, NC) that is rapid, portable, and fully automated. We enrolled patients with CAP and extracted DNA from nasopharyngeal wash (NPW) specimens using a biotinylated capture probe and streptavidin-coupled magnetic beads. Each extract was tested for M. pneumoniae-specific DNA by real-time PCR on both conventional and microfluidic platforms using Taqman probe and primers. Three of 59 (5.0%) NPWs were positive, and agreement between the methods was 98%. The microfluidic platform was equally sensitive but 3 times faster and offers an inexpensive and convenient diagnostic test for microbial DNA.
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