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Association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: A retrospective cohort study

BACKGROUND: Increased body mass index (BMI) and metabolic abnormalities are controversial prognostic factors of lung cancer. However, the relationship between metabolic overweight/obesity phenotypes and hospital readmission in patients with lung cancer is rarely reported. METHODS: We established a r...

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Autores principales: Yuan, Zinuo, Cheng, Yiping, Han, Junming, Wang, Dawei, Dong, Hang, Shi, Yingzhou, Poulsen, Kyle L., Fan, Xiude, Zhao, Jiajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310118/
https://www.ncbi.nlm.nih.gov/pubmed/35898319
http://dx.doi.org/10.1016/j.eclinm.2022.101577
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author Yuan, Zinuo
Cheng, Yiping
Han, Junming
Wang, Dawei
Dong, Hang
Shi, Yingzhou
Poulsen, Kyle L.
Fan, Xiude
Zhao, Jiajun
author_facet Yuan, Zinuo
Cheng, Yiping
Han, Junming
Wang, Dawei
Dong, Hang
Shi, Yingzhou
Poulsen, Kyle L.
Fan, Xiude
Zhao, Jiajun
author_sort Yuan, Zinuo
collection PubMed
description BACKGROUND: Increased body mass index (BMI) and metabolic abnormalities are controversial prognostic factors of lung cancer. However, the relationship between metabolic overweight/obesity phenotypes and hospital readmission in patients with lung cancer is rarely reported. METHODS: We established a retrospective cohort using the United States (US) Nationwide Readmissions Database (NRD). We included adult patients diagnosed with lung cancer from January 1, 2018 to November 30, 2018 and excluded patients combined with other cancers, pregnancy, died during hospitalization, low body weight, and those with missing data. The cohort was observed for hospital readmission until December 31, 2018. We defined and distinguished four metabolic overweight/obesity phenotypes: metabolically healthy with normal weight (MHNW), metabolically unhealthy with normal weight (MUNW), metabolically healthy with overweight or obesity (MHO), and metabolically unhealthy with overweight or obesity (MUO). The relationship between metabolic overweight/obesity phenotypes and 30-day readmission risk was assessed by multivariable Cox regression analysis. FINDINGS: Of the 115,393 patients included from the NRD 2018 (MHNW [58214, 50.4%], MUNW [44980, 39.0%], MHO [5044, 4.4%], and MUO [7155, 6.2%]), patients with the phenotype MUNW (6531, 14.5%), MHO (771, 15.3%), and MUO (1155, 16.1%) had a higher readmission rate compared to those with MHNW (7901, 13.6%). Compared with patients with the MHNW phenotype, those with the MUNW (hazard ratio [HR], 1.10; 95% CI, 1.06–1.14), MHO (HR, 1.15; 95% CI, 1.07–1.24), and MUO (HR, 1.28; 95% CI, 1.20–1.36) phenotypes had a higher risk of readmission, especially in men, those without surgical intervention, or those aged >60 years. In women, similar results with respect to readmission were observed in people aged >60 years (MUNW [HR, 1.07; 95% CI, 1.01–1.13], MHO [HR, 1.19; 95% CI, 1.06–1.35], and MUO [HR, 1.28; 95% CI, 1.16–1.41]). We also found increased costs for 30-day readmission in patients with MHO (OR, 1.18; 95% CI, 1.07–1.29) and MUO (OR, 1.11; 95% CI, 1.02–1.20). INTERPRETATION: Increased BMI and metabolic abnormalities are independently associated with higher readmission risks in patients with lung cancer, whereas increased BMI also increases the readmission costs. Follow-up and intervention method targeting increased BMI and metabolic abnormalities should be considered for patients with lung cancer. FUNDING: The National Key Research and Development Program of China (2017YFC1309800).
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spelling pubmed-93101182022-07-26 Association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: A retrospective cohort study Yuan, Zinuo Cheng, Yiping Han, Junming Wang, Dawei Dong, Hang Shi, Yingzhou Poulsen, Kyle L. Fan, Xiude Zhao, Jiajun eClinicalMedicine Articles BACKGROUND: Increased body mass index (BMI) and metabolic abnormalities are controversial prognostic factors of lung cancer. However, the relationship between metabolic overweight/obesity phenotypes and hospital readmission in patients with lung cancer is rarely reported. METHODS: We established a retrospective cohort using the United States (US) Nationwide Readmissions Database (NRD). We included adult patients diagnosed with lung cancer from January 1, 2018 to November 30, 2018 and excluded patients combined with other cancers, pregnancy, died during hospitalization, low body weight, and those with missing data. The cohort was observed for hospital readmission until December 31, 2018. We defined and distinguished four metabolic overweight/obesity phenotypes: metabolically healthy with normal weight (MHNW), metabolically unhealthy with normal weight (MUNW), metabolically healthy with overweight or obesity (MHO), and metabolically unhealthy with overweight or obesity (MUO). The relationship between metabolic overweight/obesity phenotypes and 30-day readmission risk was assessed by multivariable Cox regression analysis. FINDINGS: Of the 115,393 patients included from the NRD 2018 (MHNW [58214, 50.4%], MUNW [44980, 39.0%], MHO [5044, 4.4%], and MUO [7155, 6.2%]), patients with the phenotype MUNW (6531, 14.5%), MHO (771, 15.3%), and MUO (1155, 16.1%) had a higher readmission rate compared to those with MHNW (7901, 13.6%). Compared with patients with the MHNW phenotype, those with the MUNW (hazard ratio [HR], 1.10; 95% CI, 1.06–1.14), MHO (HR, 1.15; 95% CI, 1.07–1.24), and MUO (HR, 1.28; 95% CI, 1.20–1.36) phenotypes had a higher risk of readmission, especially in men, those without surgical intervention, or those aged >60 years. In women, similar results with respect to readmission were observed in people aged >60 years (MUNW [HR, 1.07; 95% CI, 1.01–1.13], MHO [HR, 1.19; 95% CI, 1.06–1.35], and MUO [HR, 1.28; 95% CI, 1.16–1.41]). We also found increased costs for 30-day readmission in patients with MHO (OR, 1.18; 95% CI, 1.07–1.29) and MUO (OR, 1.11; 95% CI, 1.02–1.20). INTERPRETATION: Increased BMI and metabolic abnormalities are independently associated with higher readmission risks in patients with lung cancer, whereas increased BMI also increases the readmission costs. Follow-up and intervention method targeting increased BMI and metabolic abnormalities should be considered for patients with lung cancer. FUNDING: The National Key Research and Development Program of China (2017YFC1309800). Elsevier 2022-07-22 /pmc/articles/PMC9310118/ /pubmed/35898319 http://dx.doi.org/10.1016/j.eclinm.2022.101577 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Yuan, Zinuo
Cheng, Yiping
Han, Junming
Wang, Dawei
Dong, Hang
Shi, Yingzhou
Poulsen, Kyle L.
Fan, Xiude
Zhao, Jiajun
Association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: A retrospective cohort study
title Association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: A retrospective cohort study
title_full Association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: A retrospective cohort study
title_fullStr Association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: A retrospective cohort study
title_full_unstemmed Association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: A retrospective cohort study
title_short Association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: A retrospective cohort study
title_sort association between metabolic overweight/obesity phenotypes and readmission risk in patients with lung cancer: a retrospective cohort study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310118/
https://www.ncbi.nlm.nih.gov/pubmed/35898319
http://dx.doi.org/10.1016/j.eclinm.2022.101577
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