1. Prognostic laboratory score to predict 14-day mortality in terminally ill patients with respiratory malignancy
- Author
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Mari Tanaka, Natsuko Kawai, and Norihiro Yuasa
- Subjects
ROC Curve ,Oncology ,Neoplasms ,Humans ,Terminally Ill ,Surgery ,Hematology ,General Medicine ,Prognosis ,Retrospective Studies - Abstract
Some studies have developed a scoring system to determine the short-term survival of patients with respiratory malignancy.A total of 649 terminally ill patients with respiratory malignancy admitted to our palliative care unit were included in this study. They were randomly divided into the investigation (n = 390) and validation (n = 259) groups. Nineteen blood parameters were analyzed in the laboratory. Receiver-operating characteristic analysis was performed for each blood factor and the area under the curve was calculated to determine the predictive value for 14-day survival after the blood test. Multivariable logistic regression analysis was performed to identify the significant independent prognostic factors for 14-day mortality. To develop a scoring system, the laboratory prognostic score for respiratory malignancy (R-LPS) was calculated using the sum of the indices of the independent prognostic factors.Multivariable analysis showed that 8 out of 19 indices, namely, C-reactive protein ≥ 6.8 mg/dL, aspartate aminotransferase ≥ 43 U/L, blood urea nitrogen ≥ 22 mg/dL, white blood cell count ≥ 10.9 × 10The R-LPS developed from eight laboratory indices showed acceptable prognostic ability for terminally ill patients with respiratory malignancy.
- Published
- 2022