Affiliation:
1. Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø
2. Department of Clinical Medicine, Faculty of Health Sciences, UiT—The Arctic University of Norway, Tromsø
3. SHARE—Center for Resilience in Healthcare, Faculty of Health Sciences, Department of Quality and Health Technology, University of Stavanger, Stavanger, Norway
Abstract
Objectives:
To provide a widely applicable, blood-biomarker-based and performance-status-based prognostic model, which predicts the survival of patients undergoing palliative non-brain radiotherapy. This model has already been examined in a cohort of patients treated for brain metastases and performed well.
Methods:
This was a retrospective single-institution analysis of 375 patients, managed with non-ablative radiotherapy to extracranial targets, such as bone, lung, or lymph nodes. Survival was stratified by LabPS score, a model including serum hemoglobin, platelets, albumin, C-reactive protein, lactate dehydrogenase, and performance status. Zero, 0.5, or 1 point was assigned and the final point sum calculated. A higher point sum indicates shorter survival.
Results:
The LabPS score predicted overall survival very well (median 0.6 to 26.5 mo, 3-month rate 0% to 100%, 1-year rate 0% to 89%), P=0.0001. However, the group with the poorest prognosis (4.5 points) was very small. Most patients with comparably short survival or radiotherapy administered in the last month of life had a lower point sum. Additional prognostic factors, such as liver metastases, opioid analgesic use, and/or corticosteroid medication, were identified.
Conclusions:
If busy clinicians prefer a general prognostic model rather than a panel of separate diagnosis-specific/target-specific scores, they may consider validating the LabPS score in their own practice. In resource-constrained settings, inexpensive standard blood tests may be preferable over imaging-derived prognostic information. Just like other available scores, the LabPS cannot identify all patients with very short survival.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Cited by
1 articles.
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