Relationship between body mass index and prognosis after radical gastrectomy / 医学研究生学报
Journal of Medical Postgraduates
; (12): 258-262, 2019.
Article
in Zh
| WPRIM
| ID: wpr-818223
Responsible library:
WPRO
ABSTRACT
Objective BMI is widely accepted as a predictor of postoperative complications in gastric cancer, but it is controversial as a survival predictor. This paper studies the relationship between BMI and prognosis in different classification Criteria.Methods We retrospectively analyzed the patients who underwent gastrectomy for gastric cancer from December 2008 to July 2013 in West China Hospital of Sichuan University. The relationship between the three different BMI standards (WHO, ASIA,CHINA) and the prognosis of gastric cancer after operation was analyzed. Cox proportional proportional risk model was used to determine independent predictors of survival. Results A total of 890 patients with gastric cancer radical surgery, including 460 patients with preoperative BMI data. Average survival time for obese and non-obese groups WHO, ASIA, and CHINA was 84.23±2.40 vs 75.23±1.02 months, P=0.156; 86.19±3.41 vs 76.79±1.84months, P= 0.046; 89.80±3.33 vs 77.66±1.70months, P=0.060, respectively. Univariate analysis has statistically significant indicators including, education, employment status, location perineural invasion, vascular invasion, tumor deposits, surgical method, T, N staging, adjuvant chemotherapy, lymph node metastasis positive rate, tumor diameter, BMI(Asia). These were associated with 5-year oral survival in patients(P<0.05). In multivariate analysis, adjuvant chemotherapy, T stage, N stage, employment status of statistical significance, is the independent prediction of survival. Conclusion High BMI (obesity) is one of the prognostic factors affecting radical resection of gastric cancer. Asian standard BMI is more suitable for this study. Adjuvant chemotherapy, T staging, N staging, and employment status of are risk factors for independence after radical resection of gastric cancer.
Full text:
1
Index:
WPRIM
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Journal of Medical Postgraduates
Year:
2019
Type:
Article