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Predicting Factors for Death from Other Causes in Patients with Localized Renal Cell Carcinoma
PURPOSE: To identify the predictors of death from other causes in patients with localized renal cell carcinoma (RCC). MATERIALS AND METHODS: We identified 1,101 patients with pathologically confirmed T1 or T2 RCC with a follow-up duration of over 6 months. Survival according to the cause of death wa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Urological Association
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272551/ https://www.ncbi.nlm.nih.gov/pubmed/22323969 http://dx.doi.org/10.4111/kju.2012.53.1.18 |
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author | Chang, Jin Suk Park, Yong Hyun Ku, Ja Hyun Kwak, Cheol Kim, Hyeon Hoe |
author_facet | Chang, Jin Suk Park, Yong Hyun Ku, Ja Hyun Kwak, Cheol Kim, Hyeon Hoe |
author_sort | Chang, Jin Suk |
collection | PubMed |
description | PURPOSE: To identify the predictors of death from other causes in patients with localized renal cell carcinoma (RCC). MATERIALS AND METHODS: We identified 1,101 patients with pathologically confirmed T1 or T2 RCC with a follow-up duration of over 6 months. Survival according to the cause of death was evaluated by using the Kaplan-Meier analysis with log-rank test. Prognostic factors for death from other causes were assessed by multivariate analysis using the Cox proportional hazard regression model. Once the prognostic factors were identified, a risk-group variable was created by counting the number of unfavorable features present for each patient. RESULTS: The median follow-up was 62 months, and RCC-related death occurred in 50 patients (4.5%), whereas death from other causes occurred in 47 (4.3%). Patients who died from other causes had a higher American Society of Anesthesiologist (ASA) score (26.1% vs. 10.2%; p=0.044), older age (63.4 years vs. 55.0 years; p<0.001), smaller mass size (5.1 cm vs. 7.9 cm; p<0.001), and lower nuclear grade (p=0.003). In the multivariate Cox regression analysis, older age, higher ASA score, and lower body mass index were independent factors predicting death from other causes in patients with localized RCC. On the basis of the number of risk factors for death from other causes, the 5-year other-cause-specific survival was 98.3% (0 risk factors), 84.7% (1 risk factor), and 67.6% (2 or 3 risk factors), respectively (p<0.001). CONCLUSIONS: Older age, higher ASA score, and lower body mass index were independent predictors of death from other causes in patients with localized RCC. |
format | Online Article Text |
id | pubmed-3272551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The Korean Urological Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-32725512012-02-09 Predicting Factors for Death from Other Causes in Patients with Localized Renal Cell Carcinoma Chang, Jin Suk Park, Yong Hyun Ku, Ja Hyun Kwak, Cheol Kim, Hyeon Hoe Korean J Urol Original Article PURPOSE: To identify the predictors of death from other causes in patients with localized renal cell carcinoma (RCC). MATERIALS AND METHODS: We identified 1,101 patients with pathologically confirmed T1 or T2 RCC with a follow-up duration of over 6 months. Survival according to the cause of death was evaluated by using the Kaplan-Meier analysis with log-rank test. Prognostic factors for death from other causes were assessed by multivariate analysis using the Cox proportional hazard regression model. Once the prognostic factors were identified, a risk-group variable was created by counting the number of unfavorable features present for each patient. RESULTS: The median follow-up was 62 months, and RCC-related death occurred in 50 patients (4.5%), whereas death from other causes occurred in 47 (4.3%). Patients who died from other causes had a higher American Society of Anesthesiologist (ASA) score (26.1% vs. 10.2%; p=0.044), older age (63.4 years vs. 55.0 years; p<0.001), smaller mass size (5.1 cm vs. 7.9 cm; p<0.001), and lower nuclear grade (p=0.003). In the multivariate Cox regression analysis, older age, higher ASA score, and lower body mass index were independent factors predicting death from other causes in patients with localized RCC. On the basis of the number of risk factors for death from other causes, the 5-year other-cause-specific survival was 98.3% (0 risk factors), 84.7% (1 risk factor), and 67.6% (2 or 3 risk factors), respectively (p<0.001). CONCLUSIONS: Older age, higher ASA score, and lower body mass index were independent predictors of death from other causes in patients with localized RCC. The Korean Urological Association 2012-01 2012-01-25 /pmc/articles/PMC3272551/ /pubmed/22323969 http://dx.doi.org/10.4111/kju.2012.53.1.18 Text en © The Korean Urological Association, 2012 http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Chang, Jin Suk Park, Yong Hyun Ku, Ja Hyun Kwak, Cheol Kim, Hyeon Hoe Predicting Factors for Death from Other Causes in Patients with Localized Renal Cell Carcinoma |
title | Predicting Factors for Death from Other Causes in Patients with Localized Renal Cell Carcinoma |
title_full | Predicting Factors for Death from Other Causes in Patients with Localized Renal Cell Carcinoma |
title_fullStr | Predicting Factors for Death from Other Causes in Patients with Localized Renal Cell Carcinoma |
title_full_unstemmed | Predicting Factors for Death from Other Causes in Patients with Localized Renal Cell Carcinoma |
title_short | Predicting Factors for Death from Other Causes in Patients with Localized Renal Cell Carcinoma |
title_sort | predicting factors for death from other causes in patients with localized renal cell carcinoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272551/ https://www.ncbi.nlm.nih.gov/pubmed/22323969 http://dx.doi.org/10.4111/kju.2012.53.1.18 |
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