ArticlePalliative medicine2019
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.
Article in Palliative medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Developing a framework for estimating comorbidity burden of inpatient cancer patients based on a case study in China.Global health research and policy · 2025Article
- Predicting End-of-Life in a Hospital Setting.Journal of multidisciplinary healthcare · 2024Article
- Community Informed Recruitment: A Promising Method to Enhance Clinical Trial Participation.Journal of pain and symptom management · 2023Review
- Factors Associated with In-Hospital Mortality in Acute Care Hospital Settings: A Prospective Observational Study.International journal of environmental research and public health · 2020Observational
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAt 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.
aimTo identify patterns of comorbidities in cancer patients receiving palliative care and factors associated with in-hospital mortality risk. DESIGN, SETTING/
participantsNew 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.
resultsFive 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'.
conclusionIdentification 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.
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