Validation of a Short-Term, Objective, Prognostic Predictive Method for Terminal Cancer Patients in a Palliative Care Unit Using a Combination of Six Laboratory Test Items.
retrospective_cohort · Level III
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- Also identified by DOI 10.1089/jpm.2018.0422.
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Abstract
<b><i>Background:</i></b> There is no established method to objectively predict short-term prognosis. Recently, we proposed objective, short-term, prognostic predictive methods that are combinations of laboratory test items: WPCBAL score, derived from six values (white blood cell, platelet, C-reactive protein, blood urea nitrogen, aspartate aminotransferase, and lactate dehydrogenase). However, that study was conducted in an acute-phase hospital to identify the test items useful for prognostic prediction; thus, whether WPCBAL score could be applied to terminal cancer patients in a palliative care unit was unverified. <b><i>Objective:</i></b> To verify the usefulness of WPCBAL score for terminal cancer patients. <b><i>Design:</i></b> A retrospective study. <b><i>Setting/Subjects:</i></b> Patients admitted to the palliative care unit of Ashiya Municipal Hospital (<i>N</i> = 128) in Japan in 2016. <b><i>Measurements:</i></b> The sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under the receiver operating characteristic curve (AUROC) were compared between WPCBAL score and the Glasgow prognostic score (GPS). <b><i>Results:</i></b> For predicting three-week prognosis, WPCBAL score showed higher AUROC compared with GPS (0.7540 and 0.6573, respectively). WPCBAL score predicting two-week prognosis showed greater AUROC than GPS predicting three-week prognosis (0.7491 and 0.6573, respectively). <b><i>Conclusion:</i></b> WPCBAL score was verified to objectively predict the two- or three-week prognosis for terminal cancer patients in a palliative care unit. WPCBAL score may be a new option for prognostic prediction for terminal cancer patients.
Medical subject headings
- Biomarkers, Tumor
- Neoplasms
- Palliative Care
- Predictive Value of Tests
- Prognosis
- Severity of Illness Index