Indicators of Clinical Trajectory in Patients With Cancer Who Receive Cardiopulmonary Resuscitation

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Sanjay Chawla Critical Care Medicine Service, Department of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, New York

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Cristina Gutierrez Division of Anesthesia and Critical Care, Department of Critical Care, The University of Texas MD Anderson Cancer Center, Houston, Texas

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Prabalini Rajendram Critical Care Medicine Service, Department of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
Department of Critical Care, Respiratory Institute, Cleveland Clinic, Cleveland, Ohio

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Kenneth Seier Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York

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Kay See Tan Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York

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Kara Stoudt Critical Care Medicine Service, Department of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, New York

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Marian Von-Maszewski Division of Anesthesia and Critical Care, Department of Critical Care, The University of Texas MD Anderson Cancer Center, Houston, Texas

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Jorge L. Morales-Estrella Pulmonary and Critical Care Medicine, Respiratory Institute, Cleveland Clinic Health System, Cleveland, Ohio

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Natalie T. Kostelecky Critical Care Medicine Service, Department of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, New York

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Louis P. Voigt Critical Care Medicine Service, Department of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, New York

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Background: Patients with cancer who require cardiopulmonary resuscitation (CPR) historically have had low survival to hospital discharge; however, overall CPR outcomes and cancer survival have improved. Identifying patients with cancer who are unlikely to survive CPR could guide and improve end-of-life discussions prior to cardiac arrest. Methods: Demographics, clinical variables, and outcomes including immediate and hospital survival for patients with cancer aged ≥18 years who required in-hospital CPR from 2012 to 2015 were collected. Indicators capturing the overall declining clinical and oncologic trajectory (ie, no further therapeutic options for cancer, recommendation for hospice, or recommendation for do not resuscitate) prior to CPR were determined a priori and manually identified. Results: Of 854 patients with cancer who underwent CPR, the median age was 63 years and 43.6% were female; solid cancers accounted for 60.6% of diagnoses. A recursive partitioning model selected having any indicator of declining trajectory as the most predictive factor in hospital outcome. Of our study group, 249 (29%) patients were found to have at least one indicator identified prior to CPR and only 5 survived to discharge. Patients with an indicator were more likely to die in the hospital and none were alive at 6 months after discharge. These patients were younger (median age, 59 vs 64 years; P≤.001), had a higher incidence of metastatic disease (83.0% vs 62.9%; P<.001), and were more likely to undergo CPR in the ICU (55.8% vs 36.5%; P<.001) compared with those without an indicator. Of patients without an indicator, 145 (25%) were discharged alive and half received some form of cancer intervention after CPR. Conclusions: Providers can use easily identifiable indicators to ascertain which patients with cancer are at risk for death despite CPR and are unlikely to survive to discharge. These findings can guide discussions regarding utility of resuscitation and the lack of further cancer interventions even if CPR is successful.

Submitted April 18, 2022; final revision received August 24, 2022; accepted for publication August 24, 2022.

Author contributions: Study concept and/or design: Chawla, Gutierrez, Rajendram, Seier, Kostelecky, Voigt. Provision of study materials or patients: Chawla, Gutierrez, Von-Maszewski, Rajendram, Morales-Estrella, Voigt. Collection and/or assembly of data: Chawla, Gutierrez, Rajendram, Seier, Tan, Stoudt, Von-Maszewski, Morales-Estrella, Kostelecky. Data analysis and/or interpretation: All authors. Writing and final approval of manuscript: Chawla, Gutierrez, Rajendram, Tan, Von-Maszewski, Morales-Estrella. Integrity and accuracy of data: Chawla, Seier, Tan.

Disclosures: The authors have not received any financial consideration from any person or organization to support the preparation, analysis, results, or discussion of this article.

Funding: Research reported in this publication was supported in part by the Core Grant under award number P30 CA008748, and by the Department of Anesthesiology and Critical Care Medicine at Memorial Sloan Kettering Cancer Center.

Correspondence: Sanjay Chawla, MD, Critical Care Medicine Service, Department of Anesthesiology & Critical Care Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, C-1179, New York, NY 10065. Email: chawlas@mskcc.org

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  • 1.

    Siegel RL, Miller KD, Fuchs HE, et al. Cancer statistics, 2022. CA Cancer J Clin 2022;72:733.

  • 2.

    Hastings KG, Boothroyd DB, Kapphahn K, et al. Socioeconomic differences in the epidemiologic transition from heart disease to cancer as the leading cause of death in the United States, 2003 to 2015: an observational study. Ann Intern Med 2018;169:836844.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68:394424.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Dagenais GR, Leong DP, Rangarajan S, et al. Variations in common diseases, hospital admissions, and deaths in middle-aged adults in 21 countries from five continents (PURE): a prospective cohort study. Lancet 2020;395:785794.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Marks PA, Sterngold J. On the Cancer Frontier: One Man, One Disease, and a Medical Revolution, 1st ed. New York, NY: PublicAffairs; 2014.

  • 6.

    DeVita VT, DeVita-Raeburn E. The Death of Cancer: After Fifty Years on the Front Lines of Medicine, a Pioneering Oncologist Reveals Why the War on Cancer Is Winnable–and How We Can Get There. New York, NY: Sarah Crichton Books/Farrar, Straus and Giroux; 2015.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Handley NR, Bekelman JE. The oncology hospital at home. J Clin Oncol 2019;37:448452.

  • 8.

    Kouwenhoven WB, Jude JR, Knickerbocker GG. Closed-chest cardiac massage. JAMA 1960;173:10641067.

  • 9.

    Cardiopulmonary resuscitation: statement by the Ad Hoc Committee on Cardiopulmonary Resuscitation of the Division of Medical Sciences, National Academy of Sciences—National Research Council. JAMA 1966;198:372379.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Lavonas EJ, Drennan IR, Gabrielli A, et al. Part 10: special circumstances of resuscitation: 2015 American Heart Association guidelines update for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation 2015;132(Suppl 2):S501518.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Girotra S, Nallamothu BK, Spertus JA, et al. Trends in survival after in-hospital cardiac arrest. N Engl J Med 2012;367:19121920.

  • 12.

    Andersen LW, Holmberg MJ, Berg KM, et al. In-hospital cardiac arrest: a review. JAMA 2019;321:12001210.

  • 13.

    Bruckel JT, Wong SL, Chan PS, et al. Patterns of resuscitation care and survival after in-hospital cardiac arrest in patients with advanced cancer. J Oncol Pract 2017;13:e821830.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Reisfield GM, Wallace SK, Munsell MF, et al. Survival in cancer patients undergoing in-hospital cardiopulmonary resuscitation: a meta-analysis. Resuscitation 2006;71:152160.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Guha A, Buck B, Biersmith M, et al. Contemporary impacts of a cancer diagnosis on survival following in-hospital cardiac arrest. Resuscitation 2019;142:3037.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Ebell MH, Jang W, Shen Y, et al. Development and validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score to predict neurologically intact survival after in-hospital cardiopulmonary resuscitation. JAMA Intern Med 2013;173:18721878.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Tol I, Cumber E, Nakakande D, et al. Cardiopulmonary resuscitation discussions with patients admitted to acute oncology wards: a national audit of current practice. Eur J Cancer Care (Engl) 2020;29:e13218.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377381.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Breiman L, Friedman J, Stone CJ, et al. Classification and Regression Trees, 1st ed. New York, NY: Chapman & Hall; 1984.

  • 20.

    Price RA, Stranges E, Elixhauser A. Cancer hospitalizations for adults, 2009. Accessed March 1, 2022. Available at: https://hcup-us.ahrq.gov/reports/statbriefs/sb125.jsp

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Lemiale V, Pons S, Mirouse A, et al. Sepsis and septic shock in patients with malignancies: a Groupe de Recherche Respiratoire en Réanimation Onco-Hématologique study. Crit Care Med 2020;48:822829.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Holmberg MJ, Ross CE, Fitzmaurice GM, et al. Annual incidence of adult and pediatric in-hospital cardiac arrest in the United States. Circ Cardiovasc Qual Outcomes 2019;12:e005580.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Champigneulle B, Merceron S, Lemiale V, et al. What is the outcome of cancer patients admitted to the ICU after cardiac arrest? Results from a multicenter study. Resuscitation 2015;92:3844.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Taran A, Guarino M, Kolm P, et al. Cardiopulmonary resuscitation inpatient outcomes in cancer patients in a large community hospital. Del Med J 2012;84:117121.

  • 25.

    Ackroyd R, Russon L, Newell R. Views of oncology patients, their relatives and oncologists on cardiopulmonary resuscitation (CPR): questionnaire-based study. Palliat Med 2007;21:139144.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Jones GK, Brewer KL, Garrison HG. Public expectations of survival following cardiopulmonary resuscitation. Acad Emerg Med 2000;7:4853.

  • 27.

    Marco CA, Larkin GL. Cardiopulmonary resuscitation: knowledge and opinions among the U.S. general public. State of the science-fiction. Resuscitation 2008;79:490498.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28.

    Druwé P, Monsieurs KG, Piers R, et al. Perception of inappropriate cardiopulmonary resuscitation by clinicians working in emergency departments and ambulance services: the REAPPROPRIATE international, multi-centre, cross sectional survey. Resuscitation 2018; 132:112119.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29.

    Neville TH, Tarn DM, Pavlish CL, et al. The community perspective on potentially inappropriate treatment. Ann Am Thorac Soc 2020;17:854859.

  • 30.

    Ofoma UR, Basnet S, Berger A, et al. Trends in survival after in-hospital cardiac arrest during nights and weekends. J Am Coll Cardiol 2018;71:402411.

  • 31.

    Azoulay E, Pène F, Darmon M, et al. Managing critically ill hematology patients: time to think differently. Blood Rev 2015;29:359367.

  • 32.

    Dasch B, Lenz P, Zahn PK. Prevalence of resuscitation in cancer patients at the end of life-a population-based observational study from Germany. Ann Palliat Med 2021;10:11011114.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    Potenza L, Scaravaglio M, Fortuna D, et al. Early palliative/supportive care in acute myeloid leukaemia allows low aggression end-of-life interventions: observational outpatient study. BMJ Support Palliat Care. Published online November 8, 2021. doi:10.1136/bmjspcare-2021-002898

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34.

    Lee MR, Yu KL, Kuo HY, et al. Outcome of stage IV cancer patients receiving in-hospital cardiopulmonary resuscitation: a population-based cohort study. Sci Rep 2019;9:9478.

    • PubMed
    • Search Google Scholar
    • Export Citation

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