A Multicenter Cohort Study on Children Suffering from Acute Lymphoblastic Leukemia: Effects of Obesity on Mortality

Author:

Wang Xiangwen1ORCID,Mu Dan1,Geng Anyang1,Zhao Anqi1,Song Yiyuan2

Affiliation:

1. Inner Mongolia International Mongolian Hospital, Hohhot, China

2. Inner Mongolia People’s Hospital Pediatric Hematology, China

Abstract

Background. Overweight and obesity have been reported in specific patients and disease survivors compared to other types of childhood cancer. This study is aimed at determining the effect of children’s obesity on the mortality of acute lymphoblastic leukemia. Method. Children admitted to Inner Mongolia International Mongolian Hospital from 1 January 2017 to 31 December 2020 participated in this study. 1070 children were analyzed. A multi-middle-class poll was conducted. All children under the age of 15 were followed up within 24 months of diagnosis. Overweight and obesity are identified according to the World Health Organization and the Centers for Disease Control and Prevention. Premature death and reoccurrence of emergencies are the main consequences. Results. The initial ethical rate for the first 24 months of testing was 19.9% (NS 213). The lowest cancer survival rate (DFS) was childhood obesity (73%) (24 months), compared with average weight (81%). Diagnosis of overweight/obesity is a predictor of early death (WHO: HR = 1.4 , 95% CI: 1.0-2.0; CDC: HR = 1.6 , 95% CI: 1.1-2.3). However, there was no association between overweight and obesity (WHO: HR = 1.5 , 95% effective interval: 0.9-2.5; CDC: human resources = 1.0 , 95% effective interval: 0.6-1.6) and obesity (WHO: HR = 1.5 , 95% effective interval: 0.7-3.2; CDC: HR = 1.4 , 95% effective interval: 0.9-2.3). Early recurrence was observed. Conclusion. Overweight and obese people belong to the subclass with a high risk of death in the treatment of leukemia.

Funder

Inner Mongolia Autonomous Region People’s Hospital

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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