Literature DB >> 26598038

Shock Index and Decreased Level of Consciousness as Terminal Cancer Patients' Survival Time Predictors: A Retrospective Cohort Study.

Ko Sato1, Hideto Yokoi2, Satoru Tsuneto3.   

Abstract

CONTEXT: Predicting prognosis using noninvasive and objective tools may facilitate end-of-life decisions for terminal cancer patients, their families, and other health care professionals.
OBJECTIVES: To investigate if the shock index (SI), along with decreased level of consciousness (DLOC), is a reliable tool for predicting short-term survival time in terminal cancer patients.
METHODS: A two-part retrospective cohort study was performed on 670 consecutive adult hospice patients. Part 1 of the study was performed to investigate the reliability of SI and DLOC on admission and to make a simple tool for predicting survival time. Part 2 of the study was to validate the tool's reproducibility and analyze the correlation between SI, DLOC, and survival time.
RESULTS: In Part 1, multivariate Cox proportional hazards analyses for all study patients revealed that SI ≥ 1.0 in patients with DLOC was a significant risk factor of death (hazard ratio 3.08; 95% CI 1.72-5.53; P = 0.000). Generalized additive models confirmed that DLOC patients with SI = 1.0 had 9.58 days of mean survival time (MST). Receiver operating characteristic curve analyses of SI in patients with DLOC revealed that a survival time of less than three days was most reliably predicted. In Part 2, an increase in SI statistically decreased survival time. The upper 95% CIs of the calculated mean survival time for DLOC patients with SI ≥ 1.0 were less than one week. Bootstrap analyses revealed that the 95% CIs of the predicted survival time were 4.54-6.18 days in DLOC patients with SI = 1.0.
CONCLUSION: An SI ≥ 1.0 along with DLOC is a highly reliable tool for predicting short-term survival time in terminal cancer patients.
Copyright © 2016 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Palliative care; health status indicators; neoplasms; prognosis; vital signs

Mesh:

Year:  2015        PMID: 26598038     DOI: 10.1016/j.jpainsymman.2015.09.012

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  4 in total

1.  The use of the shock index to predict hemodynamic collapse in hypotensive sepsis patients: A cross-sectional analysis.

Authors:  Zohair Al Aseri; Mohammed Al Ageel; Mohammed Binkharfi
Journal:  Saudi J Anaesth       Date:  2020-03-05

2.  Survival time after marked reduction in oral intake in terminally ill noncancer patients: A retrospective study.

Authors:  Takahiro Hosoi; Sachiko Ozone; Jun Hamano
Journal:  J Gen Fam Med       Date:  2019-12-06

3.  Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study.

Authors:  Takahiro Hosoi; Sachiko Ozone; Jun Hamano; Kazushi Maruo; Tetsuhiro Maeno
Journal:  Palliat Med Rep       Date:  2021-10-21

4.  Oxygen use and survival in patients with advanced cancer and low oxygen saturation in home care: a preliminary retrospective cohort study.

Authors:  Hiroshi Igarashi; Motoharu Fukushi; Naoki Nago
Journal:  BMC Palliat Care       Date:  2020-01-03       Impact factor: 3.234

  4 in total

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