Factors Associated With Long Survival in Patients With Cancer Admitted to Palliative Care: An Exploratory Study.
José António Ferraz GonçalvesAdelaide AlvesÁlvaro José SilvaAna Carmo ValenteAna PinaÁurea LimaDaniela AntunesFrancisco CubalIsabel CostaJorge RodriguesMariana CostaMariana RamosMichael LuisSofia Garcês SoaresSofia SousaTeresa Dias MoreiraVânia Sá-AraújoMaria José BentoPublished in: Journal of palliative care (2024)
Objective: Some patients with cancer admitted to palliative care have relatively long survivals of 1 year or more. The objective of this study was to find out factors associated with prolonged survival. Methods: Retrospective case-control study comparing the available data of patients with cancer who survived more than 1 year after admission in a palliative care service with patients with cancer who survived 6 months or less. The intended proportion was 4 controls for each case. Patients were identified through electronic records from 2012 until 2018. Results: And 1721 patients were identified. Of those patients, 111 (6.4%) survived for at least 1 year, and 363 (21.1%) were included as controls according to the established criteria. The intended proportion could not be reached; the proportion was only 3.3:1. The median survival of cases was 581 days (range: 371-2763), and the median survival of controls was 57 days (range: 1-182). In the multivariable analysis, patients with a hemoglobin ≥ 10.6 g/dL and a creatinine level >95 µmol/L had a higher probability of living more than 1 year. In contrast, patients with abnormal cognition, pain, anorexia, liver metastases, an Eastern Cooperative Oncology Group performance status >1, and a neutrophil/lymphocyte ratio ≥ 3.43 had a low probability of living more than 1 year. Conclusion: Several factors were statistically associated positively or negatively with prolonged survival. However, the data of this study should be confirmed in other studies.
Keyphrases
- palliative care
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- prognostic factors
- emergency department
- peritoneal dialysis
- healthcare
- mental health
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- liver metastases
- spinal cord
- spinal cord injury
- machine learning
- mild cognitive impairment
- deep learning
- artificial intelligence
- uric acid
- contrast enhanced