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Shock Index: A Simple and Effective Clinical Adjunct in Predicting 60-Day Mortality in Advanced Cancer Patients at the Emergency Department

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  • Tzu-Heng Cheng

    (Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
    College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
    Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan
    Tzu-Heng Cheng and Yi-Da Sie are the first authors. The first two authors contributed equally to this article.)

  • Yi-Da Sie

    (Department of Emergency Medicine, China Medical University Hospital, Taichung 404332, Taiwan
    Tzu-Heng Cheng and Yi-Da Sie are the first authors. The first two authors contributed equally to this article.)

  • Kuang-Hung Hsu

    (Laboratory for Epidemiology, Department of Health Care Management, and Healthy Aging Research Center, Chang Gung University, Taoyuan 33302, Taiwan)

  • Zhong Ning Leonard Goh

    (Sarawak General Hospital, Kuching, Sarawak 93586, Malaysia)

  • Cheng-Yu Chien

    (Department of Emergency Medicine, Ton-Yen General Hospital, Zhubei, Hsinchu County 30268, Taiwan)

  • Hsien-Yi Chen

    (Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
    College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan)

  • Chip-Jin Ng

    (Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
    College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan)

  • Chih-Huang Li

    (Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
    College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan)

  • Joanna Chen-Yeen Seak

    (Sarawak General Hospital, Kuching, Sarawak 93586, Malaysia)

  • Chen-Ken Seak

    (Sarawak General Hospital, Kuching, Sarawak 93586, Malaysia)

  • Yi-Tung Liu

    (School of Medicine, National Defense Medical Center, Taipei 11490, Taiwan)

  • Chen-June Seak

    (Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
    College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
    Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan)

  • SPOT Investigators

    (Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
    College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
    Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan
    Members are listed at the end of Acknowledgments.)

Abstract

Deciding between palliative and overly aggressive therapies for advanced cancer patients who present to the emergency department (ED) with acute issues requires a prediction of their short-term survival. Various scoring systems have previously been studied in hospices or intensive care units, though they are unsuitable for use in the ED. We aim to examine the use of a shock index (SI) in predicting the 60-day survival of advanced cancer patients presenting to the ED. Identified high-risk patients and their families can then be counseled accordingly. Three hundred and five advanced cancer patients who presented to the EDs of three tertiary hospitals were recruited, and their data retrospectively analyzed. Relevant data regarding medical history and clinical presentation were extracted, and respective shock indices calculated. Multivariate logistic regression analyses were performed. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive performance of the SI. Nonsurvivors within 60 days had significantly lower body temperatures and blood pressure, as well as higher pulse rates, respiratory rates, and SI. Each 0.1 SI increment had an odds ratio of 1.39 with respect to 60-day mortality. The area under the ROC curve was 0.7511. At the optimal cut-off point of 0.94, the SI had 81.38% sensitivity and 73.11% accuracy. This makes the SI an ideal evaluation tool for rapidly predicting the 60-day mortality risk of advanced cancer patients presenting to the ED. Identified patients can be counseled accordingly, and they can be assisted in making informed decisions on the appropriate treatment goals reflective of their prognoses.

Suggested Citation

  • Tzu-Heng Cheng & Yi-Da Sie & Kuang-Hung Hsu & Zhong Ning Leonard Goh & Cheng-Yu Chien & Hsien-Yi Chen & Chip-Jin Ng & Chih-Huang Li & Joanna Chen-Yeen Seak & Chen-Ken Seak & Yi-Tung Liu & Chen-June Se, 2020. "Shock Index: A Simple and Effective Clinical Adjunct in Predicting 60-Day Mortality in Advanced Cancer Patients at the Emergency Department," IJERPH, MDPI, vol. 17(13), pages 1-10, July.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4904-:d:381517
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    References listed on IDEAS

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    1. Jui-Kun Chiang & Terry B J Kuo & Chin-Hua Fu & Malcolm Koo, 2013. "Predicting 7-Day Survival Using Heart Rate Variability in Hospice Patients with Non-Lung Cancers," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-5, July.
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    Cited by:

    1. Doris Y. P. Leung & Helen Y. L. Chan, 2020. "Palliative and End-of-Life Care: More Work is Required," IJERPH, MDPI, vol. 17(20), pages 1-7, October.

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