Shock index: A simple and effective clinical adjunct in predicting 60-day mortality in advanced cancer patients at the emergency department

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 Seak*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

7 Scopus citations

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.

Original languageEnglish
Article number4904
Pages (from-to)1-10
Number of pages10
JournalInternational Journal of Environmental Research and Public Health
Volume17
Issue number13
DOIs
StatePublished - 07 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 by the authors.

Keywords

  • 60-day survival
  • Advanced cancer
  • Emergency department
  • Emergency physicians
  • Shock index
  • Stratification to Prevent Overcrowding Taskforce (SPOT)

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