Distinct Patterns of Conjoint Symptom Distress and Functional Impairment in the Last Year of Life Predict Terminally Ill Cancer Patients' Survival

被引:4
作者
Wen, Fur-Hsing [1 ]
Chen, Jen-Shi [2 ,3 ]
Chou, Wen-Chi [2 ,3 ]
Hsieh, Chia-Hsun [2 ,3 ]
Chang, Wen-Cheng [2 ,3 ]
Hou, Ming-Mo [2 ,3 ]
Tang, Siew Tzuh [2 ,4 ,5 ]
机构
[1] Soochow Univ, Dept Int Business, Taipei, Taiwan
[2] Chang Gung Mem Hosp Linkou, Div Hematol Oncol, Taoyuan, Taiwan
[3] Chang Gung Univ, Coll Med, Taoyuan, Taiwan
[4] Chang Gung Univ, Sch Nursing, 259 Wen Hwa 1st Rd, Taoyuan 333, Taiwan
[5] Chang Gung Mem Hosp, Dept Nursing, Kaohsiung, Taiwan
关键词
Symptom distress; functional impairment; survival; terminally ill cancer; end-of-life care; LATENT CLASS ANALYSIS; CARE; TRAJECTORIES; OUTCOMES; END; DISABILITY; COSTS; DEATH; RISK;
D O I
10.1016/j.jpainsymman.2018.03.007
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Context/Objectives. Our study addressed important knowledge gaps about trajectories of distinct conjoint symptom-functional states, that is, patterns for different levels of combined symptom distress and functional impairment, over cancer patients' last year and their ability to predict survival. Methods. We identified distinct symptom-functional states and explored their changes over 317 terminally ill cancer patients' last year by a transition model using hidden Markov modeling. These distinct symptom-functional states' ability to predict current survival probability, measured in the previous assessment, was evaluated by multivariate Cox regression models. Results. We identified five worsening, conjoint symptom-functional states: 1) mild symptom distress with high functioning, 2) moderate symptom distress with mild functional impairment, 3) severe symptom distress with moderate functional impairment, 4) moderate symptom distress with severe functional impairment, and 5) profound symptom distress and functional impairment. Trajectories of these five states differed substantially by direction (downward vs. upward) and speed. Participants in States 1-4 had substantially lower risk of subsequent death than those in State 5 (adjusted hazard ratios [95% CI] ranged from 0.048 [0.028-0.081] to 0.434 [0.316-0.579]). The risk of subsequent death differed significantly between patients in any two distinct symptom-functional states, except between those in States 3 and 4. Conclusion. Our identification of five distinct symptom-functional states and their unique transition patterns and prediction of mortality provides all stakeholders with guides for end-of-life care. Goals of end-of-life care should change toward palliative care and effective symptom management for patients with at least moderate symptom distress and substantial functional impairment. (C) 2018 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1443 / +
页数:11
相关论文
共 42 条
[1]   FACTOR-ANALYSIS AND AIC [J].
AKAIKE, H .
PSYCHOMETRIKA, 1987, 52 (03) :317-332
[2]  
[Anonymous], HDB QUANTITATIVE MET
[3]   Patient factors and quality of life outcomes differ among four subgroups of oncology patients based on symptom occurrence [J].
Astrup, Guro Lindviksmoen ;
Hofso, Kristin ;
Bjordal, Kristin ;
Guren, arianne Gronlie ;
Vistad, Ingvild ;
Cooper, Bruce ;
Miaskowski, Christine ;
Rustoen, Tone .
ACTA ONCOLOGICA, 2017, 56 (03) :462-470
[4]   DEVELOPMENT OF A SOCIAL DEPENDENCY SCALE [J].
BENOLIEL, JQ ;
MCCORKLE, R ;
YOUNG, K .
RESEARCH IN NURSING & HEALTH, 1980, 3 (01) :3-10
[6]  
Buckner TW, 2014, PEDIATR BLOOD CANCER, V61, P1282, DOI [10.1002/pbc.25029, 10.1002/pbc.24969]
[7]   Cancer Trajectories at the End of Life: is there an effect of age and gender? [J].
Costantini, Massimo ;
Beccaro, Monica ;
Higginson, Irene J. .
BMC CANCER, 2008, 8 (1)
[8]   ADAPTING A CLINICAL COMORBIDITY INDEX FOR USE WITH ICD-9-CM ADMINISTRATIVE DATABASES [J].
DEYO, RA ;
CHERKIN, DC ;
CIOL, MA .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1992, 45 (06) :613-619
[9]  
Diggle PJ., 2002, ANAL LONGITUDINAL DA, V2nd ed., P2002
[10]   Symptom Clusters in Advanced Cancer Patients: An Empirical Comparison of Statistical Methods and the Impact on Quality of Life [J].
Dong, Skye T. ;
Costa, Daniel S. J. ;
Butow, Phyllis N. ;
Lovell, Melanie R. ;
Agar, Meera ;
Velikova, Galina ;
Teckle, Paulos ;
Tong, Allison ;
Tebbutt, Niall C. ;
Clarke, Stephen J. ;
van der Hoek, Kim ;
King, Madeleine T. ;
Fayers, Peter M. .
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2016, 51 (01) :88-98