Unknown

Dataset Information

0

Optimal Body Mass Index Cut-off Point for Predicting Colorectal Cancer Survival in an Asian Population: A National Health Information Database Analysis.


ABSTRACT: The optimal body mass index (BMI) range for predicting survival in Asian colorectal cancer patients is unknown. We established the most appropriate cut-off point of BMI to predict better survival in Asian colorectal cancer patients using a two-stage approach. Two cohorts of colorectal cancer patients were included in this study: 5815 hospital-based development cohort and 54,043 nationwide validation cohort. To determine the optimal BMI cut-off point at diagnosis, the method of Contal and O'Quigley was used. We evaluated the association between BMI and overall survival (OS) using the Cox proportional hazard model. During a median follow-up of 5.7 and 5.1 years for the development and the validation cohort, 1180 (20.3%) and 10,244 (19.0%) deaths occurred, respectively. The optimal cut-off of BMI identified as 20.2 kg/m2 (plog-rank < 8.0 × 10-16) for differentiating between poorer and better OS in the development cohort. When compared to the patients with a BMI < 20.2 kg/m2, the patients with a BMI ? 20.2 kg/m2 had a significantly better OS (HR = 0.62, 95% CI = 0.54-0.72, p = 1.1 × 10-10). The association was validated in the nationwide cohort, showing better OS in patients with a BMI ? 20.2 kg/m2 (HR = 0.64, 95% CI = 0.60-0.67, p < 0.01). We suggest the use of a BMI value of 20.2 kg/m2 to predict survival in Asian colorectal cancer patients.

SUBMITTER: Song N 

PROVIDER: S-EPMC7226173 | BioStudies | 2020-01-01

REPOSITORIES: biostudies

Similar Datasets

2014-01-01 | S-EPMC3944886 | BioStudies
2017-01-01 | S-EPMC5480876 | BioStudies
2019-01-01 | S-EPMC6358594 | BioStudies
1000-01-01 | S-EPMC5695449 | BioStudies
2017-01-01 | S-EPMC5313204 | BioStudies
2019-01-01 | S-EPMC6522031 | BioStudies
1000-01-01 | S-EPMC6156736 | BioStudies
1000-01-01 | S-EPMC5602842 | BioStudies
1000-01-01 | S-EPMC5486799 | BioStudies
2019-01-01 | S-EPMC6451638 | BioStudies