Unscheduled Hospital Admission as a Prognostic Factor in the Oncologic Patient: A Retrospective Study
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View abstract on PubMed
Summary
This summary is machine-generated.Unscheduled hospital admissions negatively impact survival for cancer patients, particularly those with advanced (Stage IV) disease or specific symptoms. This finding aids in identifying patients who may benefit from palliative care intervention.
Area Of Science
- Oncology
- Palliative Care
- Clinical Prognostics
Background
- Unscheduled admissions in oncologic patients are associated with poor outcomes.
- Developing prognostic models can guide palliative care team interventions.
Purpose Of The Study
- To determine the correlation between survival, symptoms, and unscheduled admissions in cancer patients.
- To create a prognostic model for palliative care team intervention indications.
Main Methods
- Retrospective analysis of digital clinical histories for 100 oncology ward admissions (Jan-May 2018).
- Statistical analysis included descriptive statistics, Kaplan-Meier curves, Log-Rank, and Chi-Squared Automatic Interaction Detection (CHAID).
Main Results
- Stage IV tumors (72%) and lung cancer (29%) were most common; 38% received palliative care.
- Hepatic metastasis predicted early mortality (30/90 days). Multiple symptoms predicted 30-day mortality without metastasis.
- Tumor stage (Stage IV) predicted later mortality (180/365 days); colorectal/reproductive primaries improved survival in Stage IV.
Conclusions
- Unscheduled admission is a significant negative prognostic factor for oncologic patients.
- Stage IV disease, non-colorectal/reproductive primaries, and symptoms like pain, dyspnea, cachexia, or delirium indicate poor survival.
- Prognostic insights can optimize palliative care team involvement for critically ill cancer patients.
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