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. 2019 Dec;33(10):1272-1281.
doi: 10.1177/0269216319860705. Epub 2019 Jul 12.

Patterns of comorbidities in hospitalised cancer survivors for palliative care and associated in-hospital mortality risk: A latent class analysis of a statewide all-inclusive inpatient data

Lan Luo  1 , Wei Du  1 , Shanley Chong  2 , Huibo Ji  3 , Nicholas Glasgow  1
Affiliations

Patterns of comorbidities in hospitalised cancer survivors for palliative care and associated in-hospital mortality risk: A latent class analysis of a statewide all-inclusive inpatient data

Lan Luo et al. Palliat Med. 2019 Dec.

Abstract

Background: At the end of life, cancer survivors often experience exacerbations of complex comorbidities requiring acute hospital care. Few studies consider comorbidity patterns in cancer survivors receiving palliative care.

Aim: To identify patterns of comorbidities in cancer patients receiving palliative care and factors associated with in-hospital mortality risk.

Design, setting/participants: New South Wales Admitted Patient Data Collection data were used for this retrospective cohort study with 47,265 cancer patients receiving palliative care during the period financial year 2001-2013. A latent class analysis was used to identify complex comorbidity patterns. A regression mixture model was used to identify risk factors in relation to in-hospital mortality in different latent classes.

Results: Five comorbidity patterns were identified: 'multiple comorbidities and symptoms' (comprising 9.1% of the study population), 'more symptoms' (27.1%), 'few comorbidities' (39.4%), 'genitourinary and infection' (8.7%), and 'circulatory and endocrine' (15.6%). In-hospital mortality was the highest for 'few comorbidities' group and the lowest for 'more symptoms' group. Severe comorbidities were associated with elevated mortality in patients from 'multiple comorbidities and symptoms', 'more symptoms', and 'genitourinary and infection' groups. Intensive care was associated with a 37% increased risk of in-hospital deaths in those presenting with more 'multiple comorbidities and symptoms', but with a 22% risk reduction in those presenting with 'more symptoms'.

Conclusion: Identification of comorbidity patterns and risk factors for in-hospital deaths in cancer patients provides an avenue to further develop appropriate palliative care strategies aimed at improving outcomes in cancer survivors.

Keywords: Complex comorbidity patterns; cancer; end of life; palliative care.

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Conflict of interest statement

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Conditional probability for each comorbidity group indicator by class.
Figure 2.
Figure 2.
Selected characteristics, proportion by class.
See this image and copyright information in PMC

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