Literature DB >> 33347734

"3-Day Surprise Question" to predict prognosis of advanced cancer patients with impending death: Multicenter prospective observational study.

Tomoo Ikari1, Yusuke Hiratsuka1, Takuhiro Yamaguchi2, Isseki Maeda3, Masanori Mori4, Yu Uneno5, Tomohiko Taniyama6, Yosuke Matsuda7, Kiyofumi Oya8, Keita Tagami1, Akira Inoue1.   

Abstract

BACKGROUND: The study aimed to clarify the efficacy of the "3-Day Surprise Question (3DSQ)" in predicting the prognosis for advanced cancer patients with impending death. PATIENTS AND METHODS: This study was a part of multicenter prospective observational study which investigated the dying process in advanced cancer patients in Japan. For patients with a Palliative Performance Scale ≤20, the 3DSQ "Would I be surprised if this patient died in the next 3 days?" was answered by their physicians. In addition to the sensitivity and specificity of the 3DSQ, the characteristics of patients who survived longer than expected were examined via multivariate analysis.
RESULTS: Among the 1896 patients enrolled, 1411 were evaluated. Among 1179 (83.6%) patients who were classified into the "Not surprised" group, 636 patients died within 3 days. Among 232 (16.4%) patients of "Yes surprised" group, 194 patients lived longer than 3 days. The sensitivity, specificity, positive predictive value, and negative predictive value of the 3DSQ were 94.3% (95% confidence interval [CI]: 92.7% to 95.8%), 26.3% (95% CI: 24.8% to 27.6%), 53.9% (95% CI: 53.0% to 54.7%), and 83.6% (95% CI: 78.7% to 87.7%), respectively. Multivariate analysis showed palpable radial artery, absent respiration with mandibular movement, SpO2 ≥ 90%, opioid administration, and no continuous deep sedation as characteristics of patients who lived longer than expected.
CONCLUSIONS: The 3-Day Surprise Question can be a useful screening tool to identify advanced cancer patients with impending death.
© 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  advanced cancer; end-of-life care; impending death; predict prognosis; surprise question

Mesh:

Year:  2020        PMID: 33347734      PMCID: PMC7897938          DOI: 10.1002/cam4.3689

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


  20 in total

Review 1.  Care of the dying patient: the last hours or days of life.

Authors:  John Ellershaw; Chris Ward
Journal:  BMJ       Date:  2003-01-04

2.  Palliative performance scale (PPS): a new tool.

Authors:  F Anderson; G M Downing; J Hill; L Casorso; N Lerch
Journal:  J Palliat Care       Date:  1996       Impact factor: 2.250

3.  Clinical signs of impending death in cancer patients.

Authors:  David Hui; Renata dos Santos; Gary Chisholm; Swati Bansal; Thiago Buosi Silva; Kelly Kilgore; Camila Souza Crovador; Xiaoying Yu; Michael D Swartz; Pedro Emilio Perez-Cruz; Raphael de Almeida Leite; Maria Salete de Angelis Nascimento; Suresh Reddy; Fabiola Seriaco; Sriram Yennu; Carlos Eduardo Paiva; Rony Dev; Stacy Hall; Julieta Fajardo; Eduardo Bruera
Journal:  Oncologist       Date:  2014-04-23

4.  Survival prediction for advanced cancer patients in the real world: A comparison of the Palliative Prognostic Score, Delirium-Palliative Prognostic Score, Palliative Prognostic Index and modified Prognosis in Palliative Care Study predictor model.

Authors:  Mika Baba; Isseki Maeda; Tatsuya Morita; Satoshi Inoue; Masayuki Ikenaga; Yoshihisa Matsumoto; Ryuichi Sekine; Takashi Yamaguchi; Takeshi Hirohashi; Tsukasa Tajima; Ryohei Tatara; Hiroaki Watanabe; Hiroyuki Otani; Chizuko Takigawa; Yoshinobu Matsuda; Hiroka Nagaoka; Masanori Mori; Yo Tei; Shuji Hiramoto; Akihiko Suga; Hiroya Kinoshita
Journal:  Eur J Cancer       Date:  2015-06-11       Impact factor: 9.162

5.  Surprise Questions for Survival Prediction in Patients With Advanced Cancer: A Multicenter Prospective Cohort Study.

Authors:  Jun Hamano; Tatsuya Morita; Satoshi Inoue; Masayuki Ikenaga; Yoshihisa Matsumoto; Ryuichi Sekine; Takashi Yamaguchi; Takeshi Hirohashi; Tsukasa Tajima; Ryohei Tatara; Hiroaki Watanabe; Hiroyuki Otani; Chizuko Takigawa; Yoshinobu Matsuda; Hiroka Nagaoka; Masanori Mori; Naoki Yamamoto; Mie Shimizu; Takeshi Sasara; Hiroya Kinoshita
Journal:  Oncologist       Date:  2015-06-08

6.  A diagnostic model for impending death in cancer patients: Preliminary report.

Authors:  David Hui; Kenneth Hess; Renata dos Santos; Gary Chisholm; Eduardo Bruera
Journal:  Cancer       Date:  2015-07-28       Impact factor: 6.860

7.  Variations in vital signs in the last days of life in patients with advanced cancer.

Authors:  Sebastian Bruera; Gary Chisholm; Renata Dos Santos; Camila Crovador; Eduardo Bruera; David Hui
Journal:  J Pain Symptom Manage       Date:  2014-04-14       Impact factor: 3.612

8.  Clinical changes in terminally ill cancer patients and death within 48 h: when should we refer patients to a separate room?

Authors:  In Cheol Hwang; Hong Yup Ahn; Sang Min Park; Jae Yong Shim; Kyoung Kon Kim
Journal:  Support Care Cancer       Date:  2012-09-07       Impact factor: 3.603

9.  The 'surprise' question in advanced cancer patients: A prospective study among general practitioners.

Authors:  Matteo Moroni; Donato Zocchi; Deborah Bolognesi; Amy Abernethy; Roberto Rondelli; Giandomenico Savorani; Marcello Salera; Filippo G Dall'Olio; Giulia Galli; Guido Biasco
Journal:  Palliat Med       Date:  2014-03-24       Impact factor: 4.762

10.  Specialist palliative medicine physicians and nurses accuracy at predicting imminent death (within 72 hours): a short report.

Authors:  Nicola White; Fiona Reid; Victoria Vickerstaff; Priscilla Harries; Patrick Stone
Journal:  BMJ Support Palliat Care       Date:  2020-03-22       Impact factor: 3.568

View more
  2 in total

1.  Prospective Comparison of Medical Oncologists and a Machine Learning Model to Predict 3-Month Mortality in Patients With Metastatic Solid Tumors.

Authors:  Finly J Zachariah; Lorenzo A Rossi; Laura M Roberts; Linda D Bosserman
Journal:  JAMA Netw Open       Date:  2022-05-02

2.  Prognostication of the Last Days of Life.

Authors:  Masanori Mori; Tatsuya Morita; Eduardo Bruera; David Hui
Journal:  Cancer Res Treat       Date:  2022-03-30       Impact factor: 5.036

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.