Korean J Hosp Palliat Care.
2018 Sep;21(3):75-83. 10.14475/kjhpc.2018.21.3.75.
Prediction of Patient Discharge Status Based on Indicators on Admission
- Affiliations
-
- 1Department of Family Medicine, Pusan National University Hospital, Busan, Korea. greatseunghun@daum.net
- 2Department of Family Medicine, Pusan National University School of Medicine, Yangsan, Korea.
- 3Department of Medical Education, Pusan National University School of Medicine, Yangsan, Korea.
- 4Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.
- 5Obesity, Nutrition and Metabolism Clinic, Pusan National University Yangsan Hospital, Yangsan, Korea.
- 6Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.
- KMID: 2435593
- DOI: http://doi.org/10.14475/kjhpc.2018.21.3.75
Abstract
- PURPOSE
To provide effective palliative care, it is important to predict not only patients' life expectancy but their discharge status at a time of inpatient admission to a hospice care facility. This study was aimed to identify meaningful life expectancy indicators that can be used to predict patients' discharge status on admission to the facility.
METHODS
Among 568 patients who were admitted to the hospice ward of P hospital from April 1, 2016 through December 31, 2017, 377 terminal cancer patients were selected. This retrospective cohort study was performed by using performance status, symptoms and signs, socioeconomic status, laboratory findings on admission.
RESULTS
Alive discharge was associated with a good performance status that was measured with the Karnofsky and Eastern Cooperative Oncology Group (ECOG) scales and the Global health and Mental status. Less anorexia, dyspnea, dysphagia and fatigue were also associated with symptoms and signs. Associated laboratory findings were close to normal Complete Blood Cell (CBC) count, Liver Function Test (LFT) and Blood Urea Nitrogen (BUN).
CONCLUSION
Our findings suggest that Karnofsky Performance Status (KPS), ECOG, Global health, Mental status, anorexia, dyspnea, dysphagia, fatigue, CBC, LFT, BUN are meaningful indicators when predicting discharge status for inpatients. Further investigation is warranted.
Keyword
MeSH Terms
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Anorexia
Blood Cells
Blood Urea Nitrogen
Cohort Studies
Deglutition Disorders
Dyspnea
Fatigue
Global Health
Hematologic Tests
Hospice Care
Hospices
Humans
Inpatients
Karnofsky Performance Status
Life Expectancy
Liver Function Tests
Palliative Care
Patient Discharge*
Retrospective Studies
Social Class
Socioeconomic Factors
Weights and Measures
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