Validation of 2 Prognostic Models in Hospitalized Patients With Advanced Hematological Malignancies in Japan

Patients with advanced hematological malignancies are less likely to be referred to specialist palliative care services compared with patients having solid tumors. It has been reported that one of the most important reasons for the lack of referral is difficulties in the prognostication of terminall...

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Bibliographic Details
Published in:American journal of hospice & palliative medicine 2017-04, Vol.34 (3), p.258-262
Main Authors: Ohno, Eiji, Abe, Miyuki, Sasaki, Hitohiro, Okuhiro, Kazuki
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
Eligibility Determination - statistics & numerical data
Female
Hematologic Neoplasms - therapy
Humans
Inpatients
Japan
Male
Middle Aged
Models, Theoretical
Nursing
Palliative Care - statistics & numerical data
Prognosis
Referral and Consultation - statistics & numerical data
Reproducibility of Results
Retrospective Studies
Severity of Illness Index
Survival Analysis
Time Factors
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Summary:Patients with advanced hematological malignancies are less likely to be referred to specialist palliative care services compared with patients having solid tumors. It has been reported that one of the most important reasons for the lack of referral is difficulties in the prognostication of terminally ill patients with hematologic malignancies. The study objective was to evaluate the predictive accuracy of the Palliative Prognostic Index (PPI) and the prognostic model developed by Kripp et al in hospitalized patients under the care of a hematologist. Using clinical charts, we retrospectively calculated the above scores. We reviewed the records of 114 patients admitted to the hematology ward. The inclusion criterion was patient with disease considered incurable using standard treatments. The prognostic models were assessed according to the original reports. Using PPI cutoff points of 2 and 4, we divided the patients into 3 groups of significantly different survival times (P < .01). Moreover, we confirmed the usefulness of predicting survival
ISSN:1049-9091
1938-2715
DOI:10.1177/1049909115615567