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George LS, Duberstein PR, Keating NL, Bates B, Bhagianadh D, Lin H, Saraiya B, Goel S, Akincigil A. Estimating oncologist variability in prescribing systemic cancer therapies to patients in the last 30 days of life. Cancer 2024. [PMID: 39077884 DOI: 10.1002/cncr.35488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 07/31/2024]
Abstract
INTRODUCTION Clinical guidelines and quality improvement initiatives have identified reducing the use of end-of-life cancer therapies as an opportunity to improve care. We examined the extent to which oncologists differed in prescribing systemic therapies in the last 30 days of life. METHODS Using Surveillance, Epidemiology, and End Results-Medicare data, we identified patients who died of cancer from 2012 to 2017 (N = 17,609), their treating oncologists (N = 960), and the corresponding physician practice (N = 388). We used multilevel models to estimate oncologists' rates of providing cancer therapy for patients in their last 30 days of life, adjusted for patient characteristics and practice variation. RESULTS Patients' median age at the time of death was 74 years (interquartile range, 69-79); patients had lung (62%), colorectal (17%), breast (13%), and prostate (8%) cancers. We observed substantial variation across oncologists in their adjusted rate of treating patients in the last 30 days of life: oncologists in the 95th percentile exhibited a 45% adjusted rate of treatment, versus 17% among the 5th percentile. A patient treated by an oncologist with a high end-of-life prescribing behavior (top quartile), compared to an oncologist with a low prescribing behavior (bottom quartile), had more than four times greater odds of receiving end-of-life cancer therapy (OR, 4.42; 95% CI, 4.00-4.89). CONCLUSIONS Oncologists show substantial variation in end-of-life prescribing behavior. Future research should examine why some oncologists more often continue systemic therapy at the end of life than others, the consequences of this for patient and care outcomes, and whether interventions shaping oncologist decision-making can reduce overuse of end-of-life cancer therapies.
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Affiliation(s)
| | | | | | | | | | - Haiqun Lin
- Rutgers University, New Brunswick, New Jersey, USA
| | | | - Sanjay Goel
- Rutgers University, New Brunswick, New Jersey, USA
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Kerekes DM, Frey AE, Prsic EH, Tran TT, Clune JE, Sznol M, Kluger HM, Forman HP, Becher RD, Olino KL, Khan SA. Immunotherapy Initiation at the End of Life in Patients With Metastatic Cancer in the US. JAMA Oncol 2024; 10:342-351. [PMID: 38175659 PMCID: PMC10767643 DOI: 10.1001/jamaoncol.2023.6025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 09/08/2023] [Indexed: 01/05/2024]
Abstract
Importance While immunotherapy is being used in an expanding range of clinical scenarios, the incidence of immunotherapy initiation at the end of life (EOL) is unknown. Objective To describe patient characteristics, practice patterns, and risk factors concerning EOL-initiated (EOL-I) immunotherapy over time. Design, Setting, and Participants Retrospective cohort study using a US national clinical database of patients with metastatic melanoma, non-small cell lung cancer (NSCLC), or kidney cell carcinoma (KCC) diagnosed after US Food and Drug Administration approval of immune checkpoint inhibitors for the treatment of each disease through December 2019. Mean follow-up was 13.7 months. Data analysis was performed from December 2022 to May 2023. Exposures Age, sex, race and ethnicity, insurance, location, facility type, hospital volume, Charlson-Deyo Comorbidity Index, and location of metastases. Main Outcomes and Measures Main outcomes were EOL-I immunotherapy, defined as immunotherapy initiated within 1 month of death, and characteristics of the cohort receiving EOL-I immunotherapy and factors associated with its use. Results Overall, data for 242 371 patients were analyzed. The study included 20 415 patients with stage IV melanoma, 197 331 patients with stage IV NSCLC, and 24 625 patients with stage IV KCC. Mean (SD) age was 67.9 (11.4) years, 42.5% were older than 70 years, 56.0% were male, and 29.3% received immunotherapy. The percentage of patients who received EOL-I immunotherapy increased over time for all cancers. More than 1 in 14 immunotherapy treatments in 2019 were initiated within 1 month of death. Risk-adjusted patients with 3 or more organs involved in metastatic disease were 3.8-fold more likely (95% CI, 3.1-4.7; P < .001) to die within 1 month of immunotherapy initiation than those with lymph node involvement only. Treatment at an academic or high-volume center rather than a nonacademic or very low-volume center was associated with a 31% (odds ratio, 0.69; 95% CI, 0.65-0.74; P < .001) and 30% (odds ratio, 0.70; 95% CI, 0.65-0.76; P < .001) decrease in odds of death within a month of initiating immunotherapy, respectively. Conclusions and Relevance Findings of this cohort study show that the initiation of immunotherapy at the EOL is increasing over time. Patients with higher metastatic burden and who were treated at nonacademic or low-volume facilities had higher odds of receiving EOL-I immunotherapy. Tracking EOL-I immunotherapy can offer insights into national prescribing patterns and serve as a harbinger for shifts in the clinical approach to patients with advanced cancer.
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Affiliation(s)
- Daniel M. Kerekes
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
| | - Alexander E. Frey
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
| | - Elizabeth H. Prsic
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - Thuy T. Tran
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - James E. Clune
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
| | - Mario Sznol
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - Harriet M. Kluger
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - Howard P. Forman
- Department of Radiology, Yale School of Medicine, New Haven, Connecticut
| | - Robert D. Becher
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
| | - Kelly L. Olino
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
| | - Sajid A. Khan
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
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Tsuchiya M, Obara T, Kikuchi M, Mano N. The prevalence of end-of-life chemotherapy and targeted therapy in Japan, assessed using a health claims database. Cancer Chemother Pharmacol 2023; 91:501-506. [PMID: 37150758 DOI: 10.1007/s00280-023-04535-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 04/23/2023] [Indexed: 05/09/2023]
Abstract
PURPOSE This study aimed to investigate the current status of end-of-life chemotherapy and targeted therapy and explore the aggressiveness of end-of-life care in Japan using the DeSC database, a large administrative claims database. METHODS We identified fatal cases of at least one cancer-related diagnosis between April 2015 and November 2020. Patients prescribed at least one anticancer drug were analyzed, and chemotherapy regimens were categorized based on the combination of concomitant anticancer drugs prescribed. RESULTS Among 1,095,713 individuals enrolled in the National Health Insurance database, 7,300 deaths with cancer-related diagnosis were identified. Of these, 4,010 cases were identified in which at least one anticancer drug was prescribed, and 11.6% of 7,300 death had been prescribed anticancer drugs in their last 30 days of life. The most commonly used regimen was S-1 (tegafur, gimeracil, and oteracil potassium combination) monotherapy, followed by nivolumab monotherapy and nab-paclitaxel plus gemcitabine. Immune checkpoint inhibitor monotherapy was more likely prescribed to patients whose last chemotherapy dose was in the last 30 days of life (p = 0.0066, chi-squared test). CONCLUSIONS This study provides insights into the current status of end-of-life chemotherapy and targeted therapy in Japan, using a large administrative claims database. The results of this study will inform future research on end-of-life chemotherapy and targeted therapy, and help develop strategies to improve the quality of life of patients with advanced cancer.
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Affiliation(s)
- Masami Tsuchiya
- Department of Pharmacy, Miyagi Cancer Center, 47-1 Nodayama, Medeshimashiote, Natori, Miyagi, 981-1293, Japan.
- Laboratory of Biomolecule and Pathophysiological Chemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, 1-1, Seiryo-Machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.
| | - Taku Obara
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
- Division of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-Machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Masafumi Kikuchi
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
- Pharmacy Education and Research Center, Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aoba, Aramaki, Aoba-ku, Sendai, 980-8578, Japan
| | - Nariyasu Mano
- Laboratory of Biomolecule and Pathophysiological Chemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, 1-1, Seiryo-Machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
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Bracchiglione J, Rodríguez-Grijalva G, Requeijo C, Santero M, Salazar J, Salas-Gama K, Meade AG, Antequera A, Auladell-Rispau A, Quintana MJ, Solà I, Urrútia G, Acosta-Dighero R, Bonfill Cosp X. Systemic Oncological Treatments versus Supportive Care for Patients with Advanced Hepatobiliary Cancers: An Overview of Systematic Reviews. Cancers (Basel) 2023; 15:cancers15030766. [PMID: 36765723 PMCID: PMC9913533 DOI: 10.3390/cancers15030766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/14/2023] [Accepted: 01/18/2023] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The trade-off between systemic oncological treatments (SOTs) and UPSC in patients with primary advanced hepatobiliary cancers (HBCs) is not clear in terms of patient-centred outcomes beyond survival. This overview aims to assess the effectiveness of SOTs (chemotherapy, immunotherapy and targeted/biological therapies) versus UPSC in advanced HBCs. METHODS We searched for systematic reviews (SRs) in PubMed, EMBASE, the Cochrane Library, Epistemonikos and PROSPERO. Two authors assessed eligibility independently and performed data extraction. We estimated the quality of SRs and the overlap of primary studies, performed de novo meta-analyses and assessed the certainty of evidence for each outcome. RESULTS We included 18 SRs, most of which were of low quality and highly overlapped. For advanced hepatocellular carcinoma, SOTs showed better overall survival (HR = 0.62, 95% CI 0.55-0.77, high certainty for first-line therapy; HR = 0.85, 95% CI 0.79-0.92, moderate certainty for second-line therapy) with higher toxicity (RR = 1.18, 95% CI 0.87-1.60, very low certainty for first-line therapy; RR = 1.58, 95% CI 1.28-1.96, low certainty for second-line therapy). Survival was also better for SOTs in advanced gallbladder cancer. No outcomes beyond survival and toxicity could be meta-analysed. CONCLUSION SOTs in advanced HBCs tend to improve survival at the expense of greater toxicity. Future research should inform other patient-important outcomes to guide clinical decision making.
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Affiliation(s)
- Javier Bracchiglione
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
- Interdisciplinary Centre for Health Studies (CIESAL), Universidad de Valparaíso, Viña del Mar 46383, Chile
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Gerardo Rodríguez-Grijalva
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
| | - Carolina Requeijo
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
- Correspondence:
| | - Marilina Santero
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
| | - Josefina Salazar
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
| | - Karla Salas-Gama
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Quality, Process and Innovation Direction, Valld’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Adriana-Gabriela Meade
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
| | - Alba Antequera
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
| | - Ariadna Auladell-Rispau
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
| | - María Jesús Quintana
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Departament de Pediatria, d’Obstetrícia i Ginecologia, i Medicina Preventiva i Salut Pública, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - Ivan Solà
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Departament de Pediatria, d’Obstetrícia i Ginecologia, i Medicina Preventiva i Salut Pública, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - Gerard Urrútia
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Departament de Pediatria, d’Obstetrícia i Ginecologia, i Medicina Preventiva i Salut Pública, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - Roberto Acosta-Dighero
- Interdisciplinary Centre for Health Studies (CIESAL), Universidad de Valparaíso, Viña del Mar 46383, Chile
| | - Xavier Bonfill Cosp
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Departament de Pediatria, d’Obstetrícia i Ginecologia, i Medicina Preventiva i Salut Pública, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
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The Palliative Prognostic (PaP) Score without Clinical Evaluation Predicts Early Mortality among Advanced NSCLC Patients Treated with Immunotherapy. Cancers (Basel) 2022; 14:cancers14235845. [PMID: 36497326 PMCID: PMC9739118 DOI: 10.3390/cancers14235845] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 11/25/2022] [Accepted: 11/25/2022] [Indexed: 11/29/2022] Open
Abstract
Background: An acceptable risk-benefit ratio may encourage the prescription of immune checkpoint inhibitors (ICI) near the late stage of life. The lung immune prognostic index (LIPI) was validated in advanced non-small cell lung cancer (NSCLC) patients treated with ICIs. The palliative prognostic (PaP) score without clinical prediction of survival (PaPwCPS) predicts early mortality probability in terminal cancer patients. Methods: We performed a retrospective study including 182 deceased advanced NSCLC patients, treated with single-agent ICI at our Institution. Two prognostic categories of high and low mortality risk were identified through ROC curve analysis for PaPwCPS and LIPI scores. Results: Most were >65 years of age (68.3%) and received second-line ICI (61.2%). A total of 29 (15.9%) and 131 (72.0%) patients died within 30 and 90 days from treatment start, respectively. A total of 81 patients (44.5%) received ICI during the last month of life. Baseline PaPwCPS and LIPI scores were assessable for 78 patients. The AUC of ROC curves was significantly increased for PaPwCPS as compared with LIPI score for both 30-day and 90-day mortality. A high PaPwCPS score was associated in multivariate analysis with increased 30-day (HR 2.69, p = 0.037) and 90-day (HR 4.01, p < 0.001) mortality risk. A high LIPI score was associated with increased 90-day mortality risk (p < 0.001). Conclusion: We found a tendency towards ICI prescription near the late stage of life. The PaPwCPS score was a reliable predictor of 30- and 90-day mortality.
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van Breeschoten J, Ismail RK, Wouters MW, Hilarius DL, de Wreede LC, Haanen JB, Blank CU, Aarts MJ, van den Berkmortel FW, de Groot JWB, Hospers GA, Kapiteijn E, Piersma D, van Rijn RS, Stevense-den Boer MA, van der Veldt AA, Vreugdenhil G, Boers-Sonderen MJ, Suijkerbuijk KP, van den Eertwegh AJ. End-of-Life Use of Systemic Therapy in Patients With Advanced Melanoma: A Nationwide Cohort Study. JCO Oncol Pract 2022; 18:e1611-e1620. [DOI: 10.1200/op.22.00061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE: The introduction of immune checkpoint inhibitors and targeted therapies improved the overall survival of patients with advanced melanoma. It is not known how often these costly treatments with potential serious side effects are ineffectively applied in the last phase of life. This study aimed to investigate the start of a new systemic therapy within 45 and 90 days of death in Dutch patients with advanced melanoma. METHODS: We selected patients who were diagnosed with unresectable IIIC or stage IV melanoma, registered in the Dutch Melanoma Treatment Registry, and died between 2013 and 2019. Primary outcome was the probability of starting a new systemic therapy 45 and 90 days before death. Secondary outcomes were type of systemic therapy started, grade 3/4 adverse events (AEs), and the total costs of systemic therapies. RESULTS: Between 2013 and 2019, 3,797 patients with unresectable IIIC or stage IV melanoma were entered in the registry and died. The percentage of patients receiving a new systemic therapy within 45 and 90 days before death was significantly different between Dutch melanoma centers (varying from 6% to 23% and 20% to 46%, respectively). Thirteen percent of patients (n = 146) developed grade 3/4 AEs in the last period before death. The majority of patients with an AE required hospital admission (n = 102, 69.6%). Mean total costs of systemic therapy per cohort year of the patients who received a new systemic therapy within 90 days before death were 2.3%-2.8% of the total costs spent on melanoma therapies. CONCLUSION: The minority of Dutch patients with metastatic melanoma started a new systemic therapy in the last phase of life. However, the percentages varied between Dutch melanoma centers. Financial impact of these therapies in the last phase of life is relatively small.
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Affiliation(s)
- Jesper van Breeschoten
- Dutch Institute for Clinical Auditing, Leiden, the Netherlands
- Department of Medical Oncology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Rawa K. Ismail
- Dutch Institute for Clinical Auditing, Leiden, the Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht, the Netherlands
| | - Michel W.J.M. Wouters
- Dutch Institute for Clinical Auditing, Leiden, the Netherlands
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Liesbeth C. de Wreede
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - John B. Haanen
- Department of Medical Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Christian U. Blank
- Department of Medical Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Maureen J.B. Aarts
- Department of Medical Oncology, GROW School for Oncology and Developmental Biology. Maastricht University Medical Center, Maastricht, the Netherlands
| | | | | | - Geke A.P. Hospers
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Ellen Kapiteijn
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Djura Piersma
- Department of Internal Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | | | | | | | - Gerard Vreugdenhil
- Department of Internal Medicine, Maxima Medical Center, Eindhoven, the Netherlands
| | - Marye J. Boers-Sonderen
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Alfons J.M. van den Eertwegh
- Department of Medical Oncology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, the Netherlands
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7
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Bloom MD, Saker H, Glisch C, Ramnaraign B, George TJ, Markham MJ, Kelkar AH. Administration of Immune Checkpoint Inhibitors Near the End of Life. JCO Oncol Pract 2022; 18:e849-e856. [PMID: 35254868 DOI: 10.1200/op.21.00689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Recent literature suggests an increasing use of systemic treatment in patients with advanced cancer near the end of life (EOL), partially driven by the increasing adoption of immune checkpoint inhibitors (ICIs). While studies have identified this trend, additional variables associated with ICI use at EOL are limited. Our aim was to characterize a population of patients who received a dose of ICI in the last 30 days of life. METHODS We performed a manual retrospective chart review of patients ≥ 18 years who died within 30 days of receiving a dose of ICI. Metrics such as Eastern Cooperative Oncology Group performance status (ECOG PS), number of ICI doses, need for hospitalization, and numerous other variables were evaluated. RESULTS Over a 4-year time period, 97 patients received an ICI at EOL. For 40% of patients, the ICI given in the 30 days before death was their only dose. Over 50% of patients had an ECOG PS of ≥ 2, including 17% of patients with an ECOG PS of 3. Over 60% were hospitalized, 65% visited the emergency department, 20% required intensive care unit admission, and 25% died in the hospital. CONCLUSION Our study contributes to the ongoing literature regarding the risks and benefits of ICI use in patients with advanced cancer near the EOL. While accurate predictions regarding the EOL are challenging, oncologists may routinely use clinical factors such as ECOG PS along with patient preferences to guide recommendations and shared decision making. Ultimately, further follow-up studies to better characterize and prognosticate this population of patients are needed.
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Affiliation(s)
- Matthew D Bloom
- Division of Hematology & Oncology, College of Medicine, University of Florida, Gainesville, FL
| | - Haneen Saker
- Division of Hematology & Oncology, College of Medicine, University of Florida, Gainesville, FL
| | - Chad Glisch
- Division of Hematology & Oncology, Medical College of Wisconsin, Milwaukee, WI
| | - Brian Ramnaraign
- Division of Hematology & Oncology, College of Medicine, University of Florida, Gainesville, FL
| | - Thomas J George
- Division of Hematology & Oncology, College of Medicine, University of Florida, Gainesville, FL
| | - Merry J Markham
- Division of Hematology & Oncology, College of Medicine, University of Florida, Gainesville, FL
| | - Amar H Kelkar
- Division of Hematology & Oncology, College of Medicine, University of Florida, Gainesville, FL.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
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8
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O'Sullivan HM, Conroy M, Power DG, Bambury RM, O'Mahony D, Collins DC, O'Leary MJ, O'Reilly S. Immune Checkpoint Inhibitors and Palliative Care at the End of Life: An Irish Multicentre Retrospective Study. J Palliat Care 2022:8258597221078391. [PMID: 35129002 DOI: 10.1177/08258597221078391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Background and Objectives: Immune checkpoint inhibitors (ICIs) have less toxicity than standard chemotherapy and are now standard of care for many patients with advanced cancer. A manageable side effect profile and potential for durable responses may lead to aggressive care of the palliative patient. We sought to evaluate palliative care input and ICI use at the end of life at two Irish cancer centres. Methods: We identified deceased patients who received at least one dose of an ICI between first of January 2013 to 31st of December 2018. A retrospective electronic chart review was performed. Results: The electronic records of 102 patients were analysed. Fifty eight percent were male and the median age of diagnosis of advanced disease was 60 years (range 17-78). Median time from last dose of ICI to death was 57 days (range 8-574) and 20% of patients died within 30 days of last dose of ICI. Most patients, 92%, were referred to palliative care. The median time from palliative care referral to death was 64 days (range 1- 1010). In the last 30 days of life, 39% of patients attended the emergency department (ED) and 46% had at least one hospital admission. Late palliative care referrals, ≤3 months before death, were associated with hospitalisations in the last month of life (64% vs. 36%, P = .02). Timing of palliative care referral did not affect ICI prescribing at the end of life (P = 0.38). ICI use in the last 30 days of life was not associated with increased ED presentations or hospitalisations at the end of life. Patients who received ICI in the last month had a higher likelihood of in-hospital death (43% vs. 16%, P = 0.02). Conclusions: ICI within 30 days of death was associated with dying in hospital but did not lead to more hospitalisations and emergency department presentations. Early palliative care did not affect ICI use but reduced hospitalisations at the end of life.
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Affiliation(s)
- H M O'Sullivan
- Department of Medical Oncology, Cork University Hospital, Cork, Ireland
| | - M Conroy
- Department of Medical Oncology, Cork University Hospital, Cork, Ireland
| | - D G Power
- Department of Medical Oncology, Cork University Hospital, Cork, Ireland
- Department of Medical Oncology, Mercy University Hospital, Cork, Ireland
| | - R M Bambury
- Department of Medical Oncology, Cork University Hospital, Cork, Ireland
| | - D O'Mahony
- Department of Medical Oncology, Cork University Hospital, Cork, Ireland
| | - D C Collins
- Department of Medical Oncology, Cork University Hospital, Cork, Ireland
| | - M J O'Leary
- Department of Palliative Medicine, Marymount University Hospital and Hospice, Cork, Ireland
- Department of Palliative Medicine, Cork University Hospital, Cork, Ireland
| | - S O'Reilly
- Department of Medical Oncology, Cork University Hospital, Cork, Ireland
- Department of Medical Oncology, Mercy University Hospital, Cork, Ireland
- Cork Cancer Research Centre, University College Cork, Cork, Ireland
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