Patient-reported symptoms and problems at admission to specialized palliative care improved survival prediction in 30,969 cancer patients: A nationwide register-based study

Hansen, Maiken Bang; Nylandsted, Lone Ross; Petersen, Morten Aa.; Adsersen, Mathilde; Rojas-Concha, Leslye; Grøenvold, Mogens

doi:10.1177/0269216320908488

Cited by 9 publications

(10 citation statements)

References 52 publications

(150 reference statements)

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“… Of the 16 studies included in the systematic review regarding cancer and PC, nine studies looked at referral criteria, and six studies evaluated referral outcomes. Five studies were prospective [ 24 – 28 ], four were retrospective [ 29 – 32 ], five were cross-sectional surveys [ 33 – 37 ], and two randomized controlled trials [ 28 , 38 ] ( Table 3 Palliative/Supportive Care in Cancer Patients Study Population Aims Design Key Findings Sanders, et al 2010. 109 patients with lung cancer To characterize the prevalence and intensity of supportive care needs and interest in specific supportive care services among individuals with lung cancer Cross-sectional survey Participants reported the greatest need in the physical and daily living domain, followed by psychological needs, health system and informational needs, and patient care support needs.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Palliative care referral criteria and outcomes in cancer and heart failure: a systematic review of literature

et al. 2021

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Background Cardiotoxicity resulting in heart failure (HF) is among the most dreaded complications of cancer therapy and can significantly impact morbidity and mortality. Leading professional societies in cardiology and oncology recommend improved access to hospice and palliative care (PC) for patients with cancer and advanced HF. However, there is a paucity of published literature on the use of PC in cardio-oncology, particularly in patients with HF and a concurrent diagnosis of cancer. Aims To identify existing criteria for referral to and early integration of PC in the management of cases of patients with cancer and patients with HF, and to identify assessments of outcomes of PC intervention that overlap between patients with cancer and patients with HF. Design Systematic literature review on PC in patients with HF and in patients with cancer. Data sources Databases including Ovid Medline, Ovid Embase, Cochrane Library, and Web of Science from January 2009 to September 2020. Results Sixteen studies of PC in cancer and 14 studies of PC in HF were identified after screening of the 8647 retrieved citations. Cancer and HF share similarities in their patient-reported symptoms, quality of life, symptom burden, social support needs, readmission rates, and mortality. Conclusion The literature supports the integration of PC into oncology and cardiology practices, which has shown significant benefit to patients, caregivers, and the healthcare system alike. Incorporating PC in cardio-oncology, particularly in the management of HF in patients with cancer, as early as at diagnosis, will enable patients, family members, and healthcare professionals to make informed decisions about various treatments and end-of-life care and provide an opportunity for patients to participate in the decisions about how they will spend their final days.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Palliative care referral criteria and outcomes in cancer and heart failure: a systematic review of literature

et al. 2021

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“…The studies on prognosis performed in palliative care aim to determine how short survival seems. 4 Some even try to find signs of impending death. 5 Palliative care services (PCS) are often overwhelmed by admission requests, and there is a need to establish priorities, and the expected survival can be crucial in the decision process.…”

Section: Introductionmentioning

confidence: 99%

Factors Associated With Long Survival in Patients With Cancer Admitted to Palliative Care: An Exploratory Study

Ferraz-Gonçalves,

Alves,

Silva

et al. 2024

J Palliat Care

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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.

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“…The related literature has shown PS to be a reliable indicator of survival outcomes in cancer patients [ 8 , 9 ]. Numerous studies have demonstrated that PS evaluations along with clinical symptoms and signs can improve survival prediction in cancer patients [ 4 , 10 , 11 , 12 ]. PS has also been frequently employed as a criterion for evaluating a patient’s suitability for participation in clinical trials and modifying treatment strategies [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Prediction Model for Patient Survival Outcomes in Palliative Care Using Actigraphy Data and Clinical Information

Huang

Roy

Dhar

et al. 2023

Cancers

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(1) Background: Predicting the survival of patients in end-of-life care is crucial, and evaluating their performance status is a key factor in determining their likelihood of survival. However, the current traditional methods for predicting survival are limited due to their subjective nature. Wearable technology that provides continuous patient monitoring is a more favorable approach for predicting survival outcomes among palliative care patients. (2) Aims and objectives: In this study, we aimed to explore the potential of using deep learning (DL) model approaches to predict the survival outcomes of end-stage cancer patients. Furthermore, we also aimed to compare the accuracy of our proposed activity monitoring and survival prediction model with traditional prognostic tools, such as the Karnofsky Performance Scale (KPS) and the Palliative Performance Index (PPI). (3) Method: This study recruited 78 patients from the Taipei Medical University Hospital’s palliative care unit, with 66 (39 male and 27 female) patients eventually being included in our DL model for predicting their survival outcomes. (4) Results: The KPS and PPI demonstrated an overall accuracy of 0.833 and 0.615, respectively. In comparison, the actigraphy data exhibited a higher accuracy at 0.893, while the accuracy of the wearable data combined with clinical information was even better, at 0.924. (5) Conclusion: Our study highlights the significance of incorporating clinical data alongside wearable sensors to predict prognosis. Our findings suggest that 48 h of data is sufficient for accurate predictions. The integration of wearable technology and the prediction model in palliative care has the potential to improve decision making for healthcare providers and can provide better support for patients and their families. The outcomes of this study can possibly contribute to the development of personalized and patient-centered end-of-life care plans in clinical practice.

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Patient-reported symptoms and problems at admission to specialized palliative care improved survival prediction in 30,969 cancer patients: A nationwide register-based study

Cited by 9 publications

References 52 publications

Palliative care referral criteria and outcomes in cancer and heart failure: a systematic review of literature

Palliative care referral criteria and outcomes in cancer and heart failure: a systematic review of literature

Factors Associated With Long Survival in Patients With Cancer Admitted to Palliative Care: An Exploratory Study

Deep Learning Prediction Model for Patient Survival Outcomes in Palliative Care Using Actigraphy Data and Clinical Information

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