Author
Listed:
- 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
Download full text from publisher
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4904-:d:381517. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.