The preoperative prognostic nutritional index is an independent predictor of survival in patients with renal cell carcinoma.
Details
Serval ID
serval:BIB_3C92C45C7428
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The preoperative prognostic nutritional index is an independent predictor of survival in patients with renal cell carcinoma.
Journal
Urologic Oncology
ISSN
1873-2496 (Electronic)
ISSN-L
1078-1439
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
33
Number
2
Pages
68.e1-68.e7
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
Abstract
OBJECTIVE: Accurate postoperative stratification of patients with renal cell carcinoma (RCC) in distinct prognostic groups is essential for tailoring follow-up, medical therapy, and inclusion in clinical trials. Increasing evidence suggests that Onodera׳s prognostic nutritional index (PNI) is a stage- and grade-independent predictor of poor outcomes in patients with cancer, but there are no data in RCC.
MATERIALS AND METHODS: We reviewed medical records of 1,344 patients with RCC who underwent radical or partial nephrectomy at the Medical University of Vienna and the University of California-Los Angeles between 1991 and 2012. Associations with cancer-specific survival were assessed with univariable and multivariable Cox proportional hazards models. Discrimination was measured with the C-index.
RESULTS: The median postoperative follow-up was 40 months. An increase of PNI by 1 unit was associated with a decrease in the risk of death from RCC by 7% (hazard ratio = 0.93, P<0.001). In multivariable analyses, the PNI was an independent prognostic factor (P<0.001). Adding the PNI improved the discrimination of a base model by 0.4%.
CONCLUSIONS: The PNI is an independent prognostic factor in patients with RCC. Its use increases the accuracy of established prognostic factors. PNI may be a meaningful adjunct for tailoring surveillance, medical therapy, and clinical trial design.
MATERIALS AND METHODS: We reviewed medical records of 1,344 patients with RCC who underwent radical or partial nephrectomy at the Medical University of Vienna and the University of California-Los Angeles between 1991 and 2012. Associations with cancer-specific survival were assessed with univariable and multivariable Cox proportional hazards models. Discrimination was measured with the C-index.
RESULTS: The median postoperative follow-up was 40 months. An increase of PNI by 1 unit was associated with a decrease in the risk of death from RCC by 7% (hazard ratio = 0.93, P<0.001). In multivariable analyses, the PNI was an independent prognostic factor (P<0.001). Adding the PNI improved the discrimination of a base model by 0.4%.
CONCLUSIONS: The PNI is an independent prognostic factor in patients with RCC. Its use increases the accuracy of established prognostic factors. PNI may be a meaningful adjunct for tailoring surveillance, medical therapy, and clinical trial design.
Keywords
Carcinoma, Renal Cell/metabolism, Carcinoma, Renal Cell/mortality, Female, Humans, Kidney Neoplasms/metabolism, Kidney Neoplasms/pathology, Male, Middle Aged, Nutrition Assessment, Preoperative Period, Prognosis, Proportional Hazards Models, Survival Analysis
Pubmed
Create date
18/10/2016 16:20
Last modification date
20/08/2019 13:32