The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study
Abstract Background The relationship between obesity and non-Hodgkin’s lymphoma (NHL) was controversial, which may be due to the crudeness definition of obesity based on body mass index (BMI). As obesity and metabolic abnormalities often coexist, we aimed to explore whether the classification of obe...
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BMC
2023-12-01
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Series: | Cancer & Metabolism |
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Online Access: | https://doi.org/10.1186/s40170-023-00327-x |
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author | Hang Dong Honglin Guo Jing Du Yiping Cheng Dawei Wang Junming Han Zinuo Yuan Zhenyu Yao Ran An Xiaoqin Wu Kyle L. Poulsen Zhixiang Wang Shanshan Shao Xiude Fan Zhen Wang Jiajun Zhao |
author_facet | Hang Dong Honglin Guo Jing Du Yiping Cheng Dawei Wang Junming Han Zinuo Yuan Zhenyu Yao Ran An Xiaoqin Wu Kyle L. Poulsen Zhixiang Wang Shanshan Shao Xiude Fan Zhen Wang Jiajun Zhao |
author_sort | Hang Dong |
collection | DOAJ |
description | Abstract Background The relationship between obesity and non-Hodgkin’s lymphoma (NHL) was controversial, which may be due to the crudeness definition of obesity based on body mass index (BMI). As obesity and metabolic abnormalities often coexist, we aimed to explore whether the classification of obesity based on metabolic status can help to evaluate the real impact of obesity on the readmission of NHL. Methods In this retrospective cohort study, utilizing the 2018 Nationwide Readmissions Database, we identified NHL-related index hospitalizations and followed them for non-elective readmission. The patients with NHL were classified as metabolically healthy non-obese (MHNO) and obese (MHO) and metabolically unhealthy non-obese (MUNO) and obese (MUO). Readmission rates for each phenotype were calculated at 30-day intervals. Multiple COX regression was used to analyze the association of metabolic-defined obesity with 30-day, 90-day, and 180-day readmission rates in patients with NHL. Results There were 22,086 index hospitalizations with NHL included. In the multivariate COX regression, MUNO was associated with increased 30-day (HR = 1.113, 95% CI 1.036–1.195), 90-day (HR = 1.148, 95% CI 1.087–1.213), and 180-day readmission rates (HR = 1.132, 95% CI 1.077–1.189), and MUO was associated with increased 30-day (HR=1.219, 95% CI: 1.081-1.374), 90-day (HR = 1.228, 95% CI 1.118–1.348), and 180-day readmission rates (HR = 1.223, 95% CI 1.124–1.33), while MHO had no associations with readmission rates. Conclusions The presence of metabolic abnormalities with or without obesity increased the risk of non-selective readmission in patients with NHL. However, obesity alone had no associations with the risk of non-selective readmission, suggesting that interventions for metabolic abnormalities may be more important in reducing readmissions of NHL patients. |
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language | English |
last_indexed | 2024-03-09T01:16:01Z |
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spelling | doaj.art-cebf143ab6154cfdaa40e925643a18f22023-12-10T12:29:02ZengBMCCancer & Metabolism2049-30022023-12-0111111210.1186/s40170-023-00327-xThe classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational studyHang Dong0Honglin Guo1Jing Du2Yiping Cheng3Dawei Wang4Junming Han5Zinuo Yuan6Zhenyu Yao7Ran An8Xiaoqin Wu9Kyle L. Poulsen10Zhixiang Wang11Shanshan Shao12Xiude Fan13Zhen Wang14Jiajun Zhao15Department of Endocrinology, Shandong Provincial Hospital, Shandong UniversityDepartment of Endocrinology, Shandong Provincial Hospital, Shandong UniversityDepartment of Endocrinology, Shandong Provincial Hospital, Shandong UniversityDepartment of Endocrinology, Shandong Provincial Hospital, Shandong UniversityDepartment of Endocrinology, Shandong Provincial Hospital, Shandong UniversityKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityDepartment of Endocrinology, Shandong Provincial Hospital, Shandong UniversityKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityDepartment of Mechanical and Aerospace Engineering, Case Western Reserve UniversityDepartment of Integrative Biology and Pharmacology, McGovern Medical School at UTHealthDepartment of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at HoustonDepartment of Endocrinology, Shandong Provincial Hospital, Shandong UniversityDepartment of Endocrinology, Shandong Provincial Hospital, Shandong UniversityKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityAbstract Background The relationship between obesity and non-Hodgkin’s lymphoma (NHL) was controversial, which may be due to the crudeness definition of obesity based on body mass index (BMI). As obesity and metabolic abnormalities often coexist, we aimed to explore whether the classification of obesity based on metabolic status can help to evaluate the real impact of obesity on the readmission of NHL. Methods In this retrospective cohort study, utilizing the 2018 Nationwide Readmissions Database, we identified NHL-related index hospitalizations and followed them for non-elective readmission. The patients with NHL were classified as metabolically healthy non-obese (MHNO) and obese (MHO) and metabolically unhealthy non-obese (MUNO) and obese (MUO). Readmission rates for each phenotype were calculated at 30-day intervals. Multiple COX regression was used to analyze the association of metabolic-defined obesity with 30-day, 90-day, and 180-day readmission rates in patients with NHL. Results There were 22,086 index hospitalizations with NHL included. In the multivariate COX regression, MUNO was associated with increased 30-day (HR = 1.113, 95% CI 1.036–1.195), 90-day (HR = 1.148, 95% CI 1.087–1.213), and 180-day readmission rates (HR = 1.132, 95% CI 1.077–1.189), and MUO was associated with increased 30-day (HR=1.219, 95% CI: 1.081-1.374), 90-day (HR = 1.228, 95% CI 1.118–1.348), and 180-day readmission rates (HR = 1.223, 95% CI 1.124–1.33), while MHO had no associations with readmission rates. Conclusions The presence of metabolic abnormalities with or without obesity increased the risk of non-selective readmission in patients with NHL. However, obesity alone had no associations with the risk of non-selective readmission, suggesting that interventions for metabolic abnormalities may be more important in reducing readmissions of NHL patients.https://doi.org/10.1186/s40170-023-00327-xNon-Hodgkin lymphomaReadmissionObesityMetabolic abnormalityPhenotype |
spellingShingle | Hang Dong Honglin Guo Jing Du Yiping Cheng Dawei Wang Junming Han Zinuo Yuan Zhenyu Yao Ran An Xiaoqin Wu Kyle L. Poulsen Zhixiang Wang Shanshan Shao Xiude Fan Zhen Wang Jiajun Zhao The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study Cancer & Metabolism Non-Hodgkin lymphoma Readmission Obesity Metabolic abnormality Phenotype |
title | The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study |
title_full | The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study |
title_fullStr | The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study |
title_full_unstemmed | The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study |
title_short | The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study |
title_sort | classification of obesity based on metabolic status redefines the readmission of non hodgkin s lymphoma an observational study |
topic | Non-Hodgkin lymphoma Readmission Obesity Metabolic abnormality Phenotype |
url | https://doi.org/10.1186/s40170-023-00327-x |
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