Abstract

A reliable estimation of prognosis in patients receiving palliative care is desirable in order to facilitate clinical decision finding. For patients with advanced hematological malignancies, only few data are available to estimate prognosis of the individual's remaining life span. Here, we sought to investigate potential clinical prognostic parameters in patients with hematological malignancies admitted to a palliative care unit. Using a prospectively collected database, we analyzed clinical and laboratory parameters regarding their prognostic impact in 290 patients with malignant hematological diseases. The parameters included patient-related factors such as Eastern Cooperative Oncology Group (ECOG) performance status, need for transfusions, parenteral nutrition or analgetics, and laboratory values (hemoglobin, platelet count, lactic dehydrogenase (LDH), albumin, total protein, calcium, and C-reactive protein (CRP)) as well as referral symptoms (including anemia, infection, fever, fatigue, and dyspnea). In univariate analyses, LDH (>248U/l), albumin corrected calcium (>2.55mmol/l), CRP (>50mg/l), albumin (<30g/l), platelet count (<90 × 10(9)/l), total protein (≤60g/l), hemoglobin (<10g/dl), opioid treatment, performance status (ECOG >2), and need for parenteral nutrition or blood transfusion significantly correlated with impaired survival. Multivariate analysis showed that low performance status, low platelet count, opioid based pain therapy, high LDH, and low albumin were associated with poor prognosis. Using these five parameters, patients were divided into three "risk groups": low risk (presence of zero to one factor), intermediate risk (two to three factors), and high risk. Median survival for the poor risk patients was 10days, and the intermediate and low risk patients survived a median of 63 and 440days, respectively (p < 0.0001). Several clinical and laboratory parameters were associated with a poor prognosis of patients with hematological malignancies treated on a palliative care unit. These parameters might help clinicians to estimate prognosis of remaining life span and individualize treatment and/or end-of-life care options for patients.

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