| Literature DB >> 23918569 |
Min Jee Kim1, Yong Un Kang, Chang Seong Kim, Joon Seok Choi, Eun Hui Bae, Seong Kwon Ma, Sun-Seog Kweon, Soo Wan Kim.
Abstract
PURPOSE: We investigated the effects of proteinuria and renal insufficiency on all-cause mortality in patients with colorectal cancer, with special emphasis on cancer staging and cancer-related deaths.Entities:
Keywords: Cancer; GFR; death; proteinuria; stage
Mesh:
Year: 2013 PMID: 23918569 PMCID: PMC3743186 DOI: 10.3349/ymj.2013.54.5.1194
Source DB: PubMed Journal: Yonsei Med J ISSN: 0513-5796 Impact factor: 2.759
Baseline Clinical Characteristics
GFR, glomerular filtration rate; Cr, creatinine; BMI, body mass index.
*Statistical significances for linear-by-linear association between categorical variables were tested using chi-square test for trend.
†Statistical significances were tested by analysis of variance among groups.
‡The same letters indicate non-significant difference between groups based on multiple comparison test.
§On the basis of abbreviated IDMS-MDRD (Modification of Diet in Renal Disease) study equation.
Fig. 1Kaplan-Meier survival curves according to proteinuria. Patients with proteinuria showed increased mortality risk from colorectal cancer, as compared with those without proteinuria.
Unadjusted and Adjusted Cox Proportional Hazards Model for Mortality According to Cancer Stage and Proteinuria* and Stratified Analysis of Cox Proportional Hazards Model
CI, confidence interval; HR, hazard ratio; eGFR, estimated glomerular filtration rate.
*The final model adjusted for age, gender, history of hypertension, diabetes, anemia, hypoalbuminemia, and eGFR categories.
†Proteinuria was defined by a reading of 1+ or more.
‡Stratified analysis of Unadjusted and adjusted Cox proportional hazards model for mortality in early cancer according to proteinuria.
§Stratified analysis of Unadjusted and adjusted Cox proportional hazards model for mortality in advanced cancer according to proteinuria.
Stratified Analysis of Unadjusted and Adjusted Cox Proportional Hazards Model for Mortality According to Cancer Stage with Proteinuria*
CI, confidence interval; HR, hazard ratio; AJCC, American Joint Committee on Cancer; eGFR, estimated glomerular filtration rate.
*The final model adjusted for age, gender, history of hypertension, diabetes, anemia, hypoalbuminemia, and eGFR categories.
†Proteinuria was defined by a reading of 1+ or more.
‡Colorectal cancer stage was based on TNM AJCC classification.
Fig. 2Kaplan-Meier survival curves according to cancer stage and proteinuria. Mortality from colorectal cancer, in both early (A) and advanced (B) cancer stages, increased incrementally with proteinuria.
Unadjusted and Adjusted Cox Proportional Hazards Model for Mortality According to Cancer Stage and Renal Insufficiency* and Stratified Analysis of Cox Proportional Hazards Model
CI, confidence interval; HR, hazard ratio; eGFR, estimated glomerular filtration rate.
*The final model adjusted for age, gender, history of hypertension, diabetes, anemia, hypoalbuminemia, and eGFR categories.
†Renal insufficiency was defined as an eGFR <60 mL/min/1.73 m2.
‡Stratified analysis of Unadjusted and adjusted Cox proportional hazards model for mortality in early cancer according to renal insufficiency.
§Stratified analysis of Unadjusted and adjusted Cox proportional hazards model for mortality in advanced cancer according to renal insufficiency.