Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective study
Background & purposeObesity and metabolic disorders were associated with increased risk of MM, a disease characterized by high risk of relapsing and require frequent hospitalizations. In this study, we conducted a retrospective cohort study to explore the association of metabolic obesity phe...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1116307/full |
| _version_ | 1797896498043682816 |
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| author | Yue Zhang Yue Zhang Yue Zhang Yue Zhang Yue Zhang Xiude Fan Xiude Fan Xiude Fan Xiude Fan Chunhui Zhao Chunhui Zhao Chunhui Zhao Chunhui Zhao Chunhui Zhao Zinuo Yuan Zinuo Yuan Zinuo Yuan Zinuo Yuan Zinuo Yuan Yiping Cheng Yiping Cheng Yiping Cheng Yiping Cheng Yiping Cheng Yafei Wu Yafei Wu Yafei Wu Yafei Wu Junming Han Junming Han Junming Han Junming Han Zhongshang Yuan Yuanfei Zhao Yuanfei Zhao Keke Lu Keke Lu |
| author_facet | Yue Zhang Yue Zhang Yue Zhang Yue Zhang Yue Zhang Xiude Fan Xiude Fan Xiude Fan Xiude Fan Chunhui Zhao Chunhui Zhao Chunhui Zhao Chunhui Zhao Chunhui Zhao Zinuo Yuan Zinuo Yuan Zinuo Yuan Zinuo Yuan Zinuo Yuan Yiping Cheng Yiping Cheng Yiping Cheng Yiping Cheng Yiping Cheng Yafei Wu Yafei Wu Yafei Wu Yafei Wu Junming Han Junming Han Junming Han Junming Han Zhongshang Yuan Yuanfei Zhao Yuanfei Zhao Keke Lu Keke Lu |
| author_sort | Yue Zhang |
| collection | DOAJ |
| description | Background & purposeObesity and metabolic disorders were associated with increased risk of MM, a disease characterized by high risk of relapsing and require frequent hospitalizations. In this study, we conducted a retrospective cohort study to explore the association of metabolic obesity phenotypes with the readmission risk of MM.Patients & methodsWe analyzed 34,852 patients diagnosed with MM from the Nationwide Readmissions Database (NRD), a nationally representative database from US. Hospitalization diagnosis of patients were obtained using ICD-10 diagnosis codes. According to obesity and metabolic status, the population was divided into four phenotypes: metabolically healthy non-obese (MHNO), metabolically unhealthy non-obese (MUNO), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). The patients with different phenotypes were observed for hospital readmission at days 30-day, 60-day, 90-day and 180-day. Multivariate cox regression model was used to estimate the relationship between obesity metabolic phenotypes and readmissions risk.ResultsThere were 5,400 (15.5%), 7,255 (22.4%), 8,025 (27.0%) and 7,839 (35.6%) unplanned readmissions within 30-day, 60-day, 90-day and 180-day follow-up, respectively. For 90-day and 180-day follow-up, compared with patients with the MHNO phenotype, those with metabolic unhealthy phenotypes MUNO (90-day: P = 0.004; 180-day: P = < 0.001) and MUO (90-day: P = 0.049; 180-day: P = 0.004) showed higher risk of readmission, while patients with only obesity phenotypes MHO (90-day: P = 0.170; 180-day: P = 0.090) experienced no higher risk. However, similar associations were not observed for 30-day and 60-day. Further analysis in 90-day follow-up revealed that, readmission risk elevated with the increase of the combined factor numbers, with aHR of 1.068 (CI: 1.002-1.137, P = 0.043, with one metabolic risk factor), 1.109 (CI: 1.038-1.184, P = 0.002, with two metabolic risk factors) and 1.125 (95% CI: 1.04-1.216, P = 0.003, with three metabolic risk factors), respectively.ConclusionMetabolic disorders, rather than obesity, were independently associated with higher readmission risk in patients with MM, whereas the risk elevated with the increase of the number of combined metabolic factors. However, the effect of metabolic disorders on MM readmission seems to be time-dependent. For MM patient combined with metabolic disorders, more attention should be paid to advance directives to reduce readmission rate and hospitalization burden. |
| first_indexed | 2024-04-10T07:43:51Z |
| format | Article |
| id | doaj.art-dfda72f734bd418b91cc736ba3eb0fb9 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-10T07:43:51Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-dfda72f734bd418b91cc736ba3eb0fb92023-02-23T11:20:06ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-02-011310.3389/fonc.2023.11163071116307Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective studyYue Zhang0Yue Zhang1Yue Zhang2Yue Zhang3Yue Zhang4Xiude Fan5Xiude Fan6Xiude Fan7Xiude Fan8Chunhui Zhao9Chunhui Zhao10Chunhui Zhao11Chunhui Zhao12Chunhui Zhao13Zinuo Yuan14Zinuo Yuan15Zinuo Yuan16Zinuo Yuan17Zinuo Yuan18Yiping Cheng19Yiping Cheng20Yiping Cheng21Yiping Cheng22Yiping Cheng23Yafei Wu24Yafei Wu25Yafei Wu26Yafei Wu27Junming Han28Junming Han29Junming Han30Junming Han31Zhongshang Yuan32Yuanfei Zhao33Yuanfei Zhao34Keke Lu35Keke Lu36Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, ChinaShandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, ChinaShandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaShandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, ChinaShandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, ChinaShandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaShandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, ChinaShandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, ChinaShandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaShandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, ChinaShandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, ChinaShandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaShandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, ChinaShandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, ChinaShandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaShandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, ChinaShandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, ChinaShandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaShandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, ChinaShandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, ChinaShandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaShandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaDepartment of Biostatistics, School of Public Health, Shandong University, Jinan, Shandong, ChinaBeijing Institute of Heart, Lung and Blood, Beijing Anzhen Hospital, Capital Medical University, Beijing, ChinaBeijing Advanced Innovation Center for Big Data-based Precision Medicine, Capital Medical University, Beijing, ChinaDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, ChinaShandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, ChinaBackground & purposeObesity and metabolic disorders were associated with increased risk of MM, a disease characterized by high risk of relapsing and require frequent hospitalizations. In this study, we conducted a retrospective cohort study to explore the association of metabolic obesity phenotypes with the readmission risk of MM.Patients & methodsWe analyzed 34,852 patients diagnosed with MM from the Nationwide Readmissions Database (NRD), a nationally representative database from US. Hospitalization diagnosis of patients were obtained using ICD-10 diagnosis codes. According to obesity and metabolic status, the population was divided into four phenotypes: metabolically healthy non-obese (MHNO), metabolically unhealthy non-obese (MUNO), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). The patients with different phenotypes were observed for hospital readmission at days 30-day, 60-day, 90-day and 180-day. Multivariate cox regression model was used to estimate the relationship between obesity metabolic phenotypes and readmissions risk.ResultsThere were 5,400 (15.5%), 7,255 (22.4%), 8,025 (27.0%) and 7,839 (35.6%) unplanned readmissions within 30-day, 60-day, 90-day and 180-day follow-up, respectively. For 90-day and 180-day follow-up, compared with patients with the MHNO phenotype, those with metabolic unhealthy phenotypes MUNO (90-day: P = 0.004; 180-day: P = < 0.001) and MUO (90-day: P = 0.049; 180-day: P = 0.004) showed higher risk of readmission, while patients with only obesity phenotypes MHO (90-day: P = 0.170; 180-day: P = 0.090) experienced no higher risk. However, similar associations were not observed for 30-day and 60-day. Further analysis in 90-day follow-up revealed that, readmission risk elevated with the increase of the combined factor numbers, with aHR of 1.068 (CI: 1.002-1.137, P = 0.043, with one metabolic risk factor), 1.109 (CI: 1.038-1.184, P = 0.002, with two metabolic risk factors) and 1.125 (95% CI: 1.04-1.216, P = 0.003, with three metabolic risk factors), respectively.ConclusionMetabolic disorders, rather than obesity, were independently associated with higher readmission risk in patients with MM, whereas the risk elevated with the increase of the number of combined metabolic factors. However, the effect of metabolic disorders on MM readmission seems to be time-dependent. For MM patient combined with metabolic disorders, more attention should be paid to advance directives to reduce readmission rate and hospitalization burden.https://www.frontiersin.org/articles/10.3389/fonc.2023.1116307/fullMMmultiple myelomametabolic disordersobesity phenotypeshospitalization burdenreadmission |
| spellingShingle | Yue Zhang Yue Zhang Yue Zhang Yue Zhang Yue Zhang Xiude Fan Xiude Fan Xiude Fan Xiude Fan Chunhui Zhao Chunhui Zhao Chunhui Zhao Chunhui Zhao Chunhui Zhao Zinuo Yuan Zinuo Yuan Zinuo Yuan Zinuo Yuan Zinuo Yuan Yiping Cheng Yiping Cheng Yiping Cheng Yiping Cheng Yiping Cheng Yafei Wu Yafei Wu Yafei Wu Yafei Wu Junming Han Junming Han Junming Han Junming Han Zhongshang Yuan Yuanfei Zhao Yuanfei Zhao Keke Lu Keke Lu Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective study Frontiers in Oncology MM multiple myeloma metabolic disorders obesity phenotypes hospitalization burden readmission |
| title | Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective study |
| title_full | Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective study |
| title_fullStr | Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective study |
| title_full_unstemmed | Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective study |
| title_short | Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective study |
| title_sort | association between metabolic obesity phenotypes and multiple myeloma hospitalization burden a national retrospective study |
| topic | MM multiple myeloma metabolic disorders obesity phenotypes hospitalization burden readmission |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1116307/full |
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