Abstract |
Objective and Background: Survival predictions by subjective evaluations are important for end-stage patients. However, subjective evaluations based on experience are difficult. Therefore, we investigated whether the Glasgow prognostic score (GPS), prognostic nutritional index (PNI), and C-reactive protein (CRP)/ albumin ratio (CRP/Alb ratio) calculated from the laboratory values of objective evaluations are useful for predicting survival times in end-stage patients. Methods: We retrospectively investigated the age, sex, death cause, CRP levels, Alb levels, and lymphocyte counts in 363 cancer and noncancer patients who died in the 12-month period between April 2015 and March 2016. A multivariate analysis was performed to calculate GPS, PNI, and the CRP/Alb ratio from laboratory values and adjusted for confounding factors. Results: PNI and CRP/Alb ratio exhibited negative and positive correlations with survival days, respectively. All GPS, PNI, and CRP/Alb ratio were useful to predict two to four remaining weeks. Interestingly, CRP/Alb ratio, but not GPS or PNI, was higher in patients with predicted short-term survival of zero to two weeks than in that of two to four weeks (odds ratio 2.32; 95% confidence interval 1.61-3.34). Discussion: These results suggest that the CRP/Alb ratio is an independent factor that is beneficial to predict short-term survival of within two weeks.
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Authors | Tomoyoshi Miyamoto, Masanori Fujitani, Hiroki Fukuyama, Shigekatsu Hatanaka, Yuichi Koizumi, Atsufumi Kawabata |
Journal | Journal of palliative medicine
(J Palliat Med)
Vol. 22
Issue 5
Pg. 532-537
(05 2019)
ISSN: 1557-7740 [Electronic] United States |
PMID | 30570426
(Publication Type: Journal Article)
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Chemical References |
- Albumins
- Biomarkers, Tumor
- C-Reactive Protein
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Topics |
- Aged
- Aged, 80 and over
- Albumins
(analysis)
- Biomarkers, Tumor
(analysis)
- C-Reactive Protein
(analysis)
- Female
- Humans
- Japan
- Kaplan-Meier Estimate
- Male
- Middle Aged
- Neoplasms
(physiopathology)
- Predictive Value of Tests
- Prognosis
- Proportional Hazards Models
- Retrospective Studies
- Survival Analysis
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