» Articles » PMID: 24013570

Development and Validation of a Prognostic Scale for Hospitalized Patients with Terminally Ill Cancer in China

Overview
Specialties Critical Care
Oncology
Date 2013 Sep 10
PMID 24013570
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: The purpose of this study is to develop and validate a scale prognostic of survival in hospitalized, terminally ill cancer patients in China.

Methods: Terminally ill cancer patients hospitalized at two general hospitals in China were prospectively analyzed. Patients were divided into a training cohort (n = 181) and a testing cohort (n = 128). Factors prognostic of survival were identified in the training cohort and combined into a scale, which was validated in the testing cohort.

Results: In the training cohort, eight factors associated with reduced survival were identified: low performance status, dyspnea at rest, reduced oral intake, cognitive impairment, edema, leukocytosis, and elevated urea and alanine transaminase concentrations. A prognostic prediction score was calculated for each patient, based on the weight of these eight predictors in the regression model, with scores ranging from 0 (no altered variables) to 12 (maximal altered variables). Patients with different prognostic scores had significantly different prognoses (p < 0.001). A cutoff point of ≥4 was optimal in categorizing patients with "low" (score <4) and "high" (score ≥4) risk of survival for less than 30 days, with median survival time in these groups of 47 and 9 days, respectively. Using this cutoff point on the testing cohort, median survival time for the low and high risk groups were 66 and 11 days, respectively.

Conclusion: We identified eight indicators predictive of poor survival in Chinese patients hospitalized with terminal cancer. A prognostic scale that includes these indicators may help in making decisions about end-of-life care.

Citing Articles

Prognostic models for survival predictions in advanced cancer patients: a systematic review and meta-analysis.

Fung M, Wong Y, Man Cheung K, Bao K, Sung W BMC Palliat Care. 2025; 24(1):54.

PMID: 40025487 PMC: 11871741. DOI: 10.1186/s12904-025-01696-4.


Survival Prediction in Home Hospice Care Patients with Lung Cancer Based on LASSO Algorithm.

Zeng Y, Cao W, Wu C, Wang M, Xie Y, Chen W Cancer Control. 2022; 29:10732748221124519.

PMID: 36039467 PMC: 9434661. DOI: 10.1177/10732748221124519.


Dealing with prognostic uncertainty: the role of prognostic models and websites for patients with advanced cancer.

Hui D, Maxwell J, Paiva C Curr Opin Support Palliat Care. 2019; 13(4):360-368.

PMID: 31689273 PMC: 7034625. DOI: 10.1097/SPC.0000000000000459.

References
1.
Lingjun Z, Jing C, Jian L, Wee B, Jijun Z . Prediction of survival time in advanced cancer: a prognostic scale for Chinese patients. J Pain Symptom Manage. 2009; 38(4):578-86. DOI: 10.1016/j.jpainsymman.2008.12.005. View

2.
Durand J, Mir O, Coriat R, Cessot A, Pourchet S, Goldwasser F . Validation of the Cochin Risk Index Score (CRIS) for life expectancy prediction in terminally ill cancer patients. Support Care Cancer. 2011; 20(4):857-64. DOI: 10.1007/s00520-011-1163-3. View

3.
Liu Y, Xi Q, Xia S, Zhuang L, Zheng W, Yu S . Association between symptoms and their severity with survival time in hospitalized patients with far advanced cancer. Palliat Med. 2011; 25(7):682-90. DOI: 10.1177/0269216311398301. View

4.
de Miguel Sanchez C, Garrido Elustondo S, Estirado A, Sanchez F, de La Rasilla Cooper C, Romero A . Palliative performance status, heart rate and respiratory rate as predictive factors of survival time in terminally ill cancer patients. J Pain Symptom Manage. 2006; 31(6):485-92. DOI: 10.1016/j.jpainsymman.2005.10.007. View

5.
Chiang J, Lai N, Wang M, Chen S, Kao Y . A proposed prognostic 7-day survival formula for patients with terminal cancer. BMC Public Health. 2009; 9:365. PMC: 2761894. DOI: 10.1186/1471-2458-9-365. View