Literature DB >> 26469222

Time-Limited Trials of Intensive Care for Critically Ill Patients With Cancer: How Long Is Long Enough?

Mark G Shrime1, Bart S Ferket2, Daniel J Scott3, Joon Lee4, Diana Barragan-Bradford5, Tom Pollard3, Yaseen M Arabi6, Hasan M Al-Dorzi6, Rebecca M Baron5, M G Myriam Hunink7, Leo A Celi8, Peggy S Lai9.   

Abstract

IMPORTANCE: Time-limited trials of intensive care are commonly used in patients perceived to have a poor prognosis. The optimal duration of such trials is unknown. Factors such as a cancer diagnosis are associated with clinician pessimism and may affect the decision to limit care independent of a patient's severity of illness.
OBJECTIVE: To identify the optimal duration of intensive care for short-term mortality in critically ill patients with cancer. DESIGN, SETTING, AND PARTICIPANTS: Decision analysis using a state-transition microsimulation model was performed to simulate the hospital course of patients with poor-prognosis primary tumors, metastatic disease, or hematologic malignant neoplasms admitted to medical and surgical intensive care units. Transition probabilities were derived from 920 participants stratified by sequential organ failure assessment (SOFA) scores to identify severity of illness. The model was validated in 3 independent cohorts with 349, 158, and 117 participants from quaternary care academic hospitals. Monte Carlo microsimulation was performed, followed by probabilistic sensitivity analysis. Outcomes were assessed in the overall cohort and in solid tumors alone.
INTERVENTIONS: Time-unlimited vs time-limited trials of intensive care. MAIN OUTCOMES AND MEASURES: 30-day all-cause mortality and mean survival duration.
RESULTS: The SOFA scores at ICU admission were significantly associated with mortality. A 3-, 8-, or 15-day trial of intensive care resulted in decreased mean 30-day survival vs aggressive care in all but the sickest patients (SOFA score, 5-9: 48.4% [95% CI, 48.0%-48.8%], 60.6% [95% CI, 60.2%-61.1%], and 66.8% [95% CI, 66.4%-67.2%], respectively, vs 74.6% [95% CI, 74.3%-75.0%] with time-unlimited aggressive care; SOFA score, 10-14: 36.2% [95% CI, 35.8%-36.6%], 44.1% [95% CI, 43.6%-44.5%], and 46.1% [95% CI, 45.6%-46.5%], respectively, vs 48.4% [95% CI, 48.0%-48.8%] with aggressive care; SOFA score, ≥ 15: 5.8% [95% CI, 5.6%-6.0%], 8.1% [95% CI, 7.9%-8.3%], and 8.3% [95% CI, 8.1%-8.6%], respectively, vs 8.8% [95% CI, 8.5%-9.0%] with aggressive care). However, the clinical magnitude of these differences was variable. Trial durations of 8 days in the sickest patients offered mean survival duration that was no more than 1 day different from time-unlimited care, whereas trial durations of 10 to 12 days were required in healthier patients. For the subset of patients with solid tumors, trial durations of 1 to 4 days offered mean survival that was not statistically significantly different from time-unlimited care. CONCLUSIONS AND RELEVANCE: Trials of ICU care lasting 1 to 4 days may be sufficient in patients with poor-prognosis solid tumors, whereas patients with hematologic malignant neoplasms or less severe illness seem to benefit from longer trials of intensive care.

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Year:  2016        PMID: 26469222      PMCID: PMC4713248          DOI: 10.1001/jamaoncol.2015.3336

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  38 in total

1.  Predictors of short-term mortality in critically ill patients with solid malignancies.

Authors:  E Azoulay; D Moreau; C Alberti; G Leleu; C Adrie; M Barboteu; P Cottu; V Levy; J R Le Gall; B Schlemmer
Journal:  Intensive Care Med       Date:  2000-12       Impact factor: 17.440

2.  Cancer incidence and survival in patients 65 years of age and older.

Authors:  A Baranovsky; M H Myers
Journal:  CA Cancer J Clin       Date:  1986 Jan-Feb       Impact factor: 508.702

3.  Serial evaluation of the SOFA score to predict outcome in critically ill patients.

Authors:  F L Ferreira; D P Bota; A Bross; C Mélot; J L Vincent
Journal:  JAMA       Date:  2001-10-10       Impact factor: 56.272

4.  Long-term survival with metastatic cancer to the brain.

Authors:  W A Hall; H R Djalilian; E S Nussbaum; K H Cho
Journal:  Med Oncol       Date:  2000-11       Impact factor: 3.064

5.  MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring.

Authors:  M Saeed; C Lieu; G Raber; R G Mark
Journal:  Comput Cardiol       Date:  2002

6.  Clinician predictions of intensive care unit mortality.

Authors:  Graeme Rocker; Deborah Cook; Peter Sjokvist; Bruce Weaver; Simon Finfer; Ellen McDonald; John Marshall; Anne Kirby; Mitchell Levy; Peter Dodek; Daren Heyland; Gordon Guyatt
Journal:  Crit Care Med       Date:  2004-05       Impact factor: 7.598

7.  Use of intensive care at the end of life in the United States: an epidemiologic study.

Authors:  Derek C Angus; Amber E Barnato; Walter T Linde-Zwirble; Lisa A Weissfeld; R Scott Watson; Tim Rickert; Gordon D Rubenfeld
Journal:  Crit Care Med       Date:  2004-03       Impact factor: 7.598

8.  Outcome and early prognostic indicators in patients with a hematologic malignancy admitted to the intensive care unit for a life-threatening complication.

Authors:  Dominique D Benoit; Koenraad H Vandewoude; Johan M Decruyenaere; Eric A Hoste; Francis A Colardyn
Journal:  Crit Care Med       Date:  2003-01       Impact factor: 7.598

9.  Decisions to forgo life-sustaining therapy in ICU patients independently predict hospital death.

Authors:  Elie Azoulay; Frédéric Pochard; Maité Garrouste-Orgeas; Delphine Moreau; Laurent Montesino; Christophe Adrie; Arnaud de Lassence; Yves Cohen; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2003-10-07       Impact factor: 17.440

10.  Patients' and families' preferences for medical intensive care.

Authors:  M Danis; D L Patrick; L I Southerland; M L Green
Journal:  JAMA       Date:  1988-08-12       Impact factor: 56.272

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  23 in total

1.  Palliative care should be extended to the intensive care unit cancer patients.

Authors:  François Vincent; Laurent Chapuis; Soufia Ayed; Abdelaziz Bouguerba; Sondes Yaacoubi; Caroline Bornstain
Journal:  Support Care Cancer       Date:  2017-03-10       Impact factor: 3.603

Review 2.  Time-limited trial of intensive care treatment: an overview of current literature.

Authors:  Eva E Vink; Elie Azoulay; Arthur Caplan; Erwin J O Kompanje; Jan Bakker
Journal:  Intensive Care Med       Date:  2018-08-22       Impact factor: 17.440

3.  Clinical characteristics and outcomes of cancer patients requiring intensive care unit admission: a prospective study.

Authors:  Frank Daniel Martos-Benítez; Andrés Soto-García; Anarelys Gutiérrez-Noyola
Journal:  J Cancer Res Clin Oncol       Date:  2018-01-23       Impact factor: 4.553

4.  Time-Limited Trials in the Intensive Care Unit to Promote Goal-Concordant Patient Care.

Authors:  Todd D VanKerkhoff; Elizabeth M Viglianti; Michael E Detsky; Jacqueline M Kruser
Journal:  Clin Pulm Med       Date:  2019-09

5.  Prognostic factors for advanced lung cancer patients with do-not-intubate order in intensive care unit: a retrospective study.

Authors:  Chia-I Shen; Shan-Yao Yang; Hwa-Yen Chiu; Wei-Chih Chen; Wen-Kuang Yu; Kuang-Yao Yang
Journal:  BMC Pulm Med       Date:  2022-06-24       Impact factor: 3.320

Review 6.  The Intensive Care Medicine research agenda on critically ill oncology and hematology patients.

Authors:  Elie Azoulay; Peter Schellongowski; Michael Darmon; Philippe R Bauer; Dominique Benoit; Pieter Depuydt; Jigeeshu V Divatia; Virginie Lemiale; Maarten van Vliet; Anne-Pascale Meert; Djamel Mokart; Stephen M Pastores; Anders Perner; Frédéric Pène; Peter Pickkers; Kathryn A Puxty; Francois Vincent; Jorge Salluh; Ayman O Soubani; Massimo Antonelli; Thomas Staudinger; Michael von Bergwelt-Baildon; Marcio Soares
Journal:  Intensive Care Med       Date:  2017-07-19       Impact factor: 17.440

7.  Characteristics, management, and prognosis of elderly patients with COVID-19 admitted in the ICU during the first wave: insights from the COVID-ICU study : Prognosis of COVID-19 elderly critically ill patients in the ICU.

Authors:  Martin Dres; David Hajage; Said Lebbah; Antoine Kimmoun; Tai Pham; Gaëtan Béduneau; Alain Combes; Alain Mercat; Bertrand Guidet; Alexandre Demoule; Matthieu Schmidt
Journal:  Ann Intensive Care       Date:  2021-05-14       Impact factor: 6.925

8.  Consensus statement for cancer patients requiring intensive care support.

Authors:  M G Kiehl; G Beutel; B Böll; D Buchheidt; R Forkert; V Fuhrmann; P Knöbl; M Kochanek; F Kroschinsky; P La Rosée; T Liebregts; C Lück; U Olgemoeller; E Schalk; A Shimabukuro-Vornhagen; W R Sperr; T Staudinger; M von Bergwelt Baildon; P Wohlfarth; V Zeremski; P Schellongowski
Journal:  Ann Hematol       Date:  2018-04-27       Impact factor: 3.673

9.  Optimal intensive care outcome prediction over time using machine learning.

Authors:  Christopher Meiring; Abhishek Dixit; Steve Harris; Niall S MacCallum; David A Brealey; Peter J Watkinson; Andrew Jones; Simon Ashworth; Richard Beale; Stephen J Brett; Mervyn Singer; Ari Ercole
Journal:  PLoS One       Date:  2018-11-14       Impact factor: 3.240

10.  Performance status and acute organ dysfunction influence hospital mortality in critically ill patients with cancer and suspected infection: a retrospective cohort analysis.

Authors:  Ramon Teixeira Costa; Fernando Godinho Zampieri; Pedro Caruso; Antonio Paulo Nassar Júnior
Journal:  Rev Bras Ter Intensiva       Date:  2021 Apr-Jun
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