A model for predicting high BMI of people living with HIV after receiving antiretroviral therapy
Objective: The objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after antiretroviral therapy (ART) and establish a model. Methods: A total of 290 people living with HIV after 1 year of ART treatment were enrolled and d...
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Published in | Therapeutic advances in chronic disease Vol. 13; pp. 204062232211027 - 20406223221102750 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publications
2022
SAGE PUBLICATIONS, INC SAGE Publishing |
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Abstract | Objective:
The objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after antiretroviral therapy (ART) and establish a model.
Methods:
A total of 290 people living with HIV after 1 year of ART treatment were enrolled and divided into two groups based on whether their BMI index was <24 or ⩾24 at week 48. The demographic, clinical data were collected and analyzed. Multivariable logistic regression analysis was performed. A model was established and use to predict the occurrence of certain diseases.
Results:
A total of 290 people living with HIV were included in this study; 200 had a normal BMI (BMI < 24) and 90 were high BMI (BMI ⩾ 24) after 1-year ART. Their baseline characteristics were significantly different in relation to age (p = 0.007), sex distribution (p = 0.040), ART regimen (p = 0.040), alanine aminotransferase levels (p < 0.001), and three major serum lipid levels: triglycerides (p < 0.001), cholesterol (p = 0.011), and low-density lipoprotein (p = 0.005). A multivariate logistic regression analysis resulted in the development of a model for the diagnosis of high BMI and hyperlipidemia. The model score is an independent risk factor for hyperlipidemia (odds ratio = 2.674, p = 0.001) and high BMI (p < 0.001). The model score is significantly correlated with the controlled attenuation parameter (CAP) value (r = 0.230, p < 0.001) and can be used to divide the severity of liver steatosis based on CAP value.
Conclusions:
This study demonstrated a easy-to-use model to detect high BMI, hyperlipidemia, and liver steatosis in people living with HIV without risk factors for BMI changing at baseline after 1 year of ART treatment. |
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AbstractList | Objective: The objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after antiretroviral therapy (ART) and establish a model. Methods: A total of 290 people living with HIV after 1 year of ART treatment were enrolled and divided into two groups based on whether their BMI index was <24 or ⩾24 at week 48. The demographic, clinical data were collected and analyzed. Multivariable logistic regression analysis was performed. A model was established and use to predict the occurrence of certain diseases. Results: A total of 290 people living with HIV were included in this study; 200 had a normal BMI (BMI < 24) and 90 were high BMI (BMI ⩾ 24) after 1-year ART. Their baseline characteristics were significantly different in relation to age (p = 0.007), sex distribution (p = 0.040), ART regimen (p = 0.040), alanine aminotransferase levels (p < 0.001), and three major serum lipid levels: triglycerides (p < 0.001), cholesterol (p = 0.011), and low-density lipoprotein (p = 0.005). A multivariate logistic regression analysis resulted in the development of a model for the diagnosis of high BMI and hyperlipidemia. The model score is an independent risk factor for hyperlipidemia (odds ratio = 2.674, p = 0.001) and high BMI (p < 0.001). The model score is significantly correlated with the controlled attenuation parameter (CAP) value (r = 0.230, p < 0.001) and can be used to divide the severity of liver steatosis based on CAP value. Conclusions: This study demonstrated a easy-to-use model to detect high BMI, hyperlipidemia, and liver steatosis in people living with HIV without risk factors for BMI changing at baseline after 1 year of ART treatment. ObjectiveThe objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after antiretroviral therapy (ART) and establish a model. MethodsA total of 290 people living with HIV after 1 year of ART treatment were enrolled and divided into two groups based on whether their BMI index was <24 or ⩾24 at week 48. The demographic, clinical data were collected and analyzed. Multivariable logistic regression analysis was performed. A model was established and use to predict the occurrence of certain diseases. ResultsA total of 290 people living with HIV were included in this study; 200 had a normal BMI (BMI < 24) and 90 were high BMI (BMI ⩾ 24) after 1-year ART. Their baseline characteristics were significantly different in relation to age (p = 0.007), sex distribution (p = 0.040), ART regimen (p = 0.040), alanine aminotransferase levels (p < 0.001), and three major serum lipid levels: triglycerides (p < 0.001), cholesterol (p = 0.011), and low-density lipoprotein (p = 0.005). A multivariate logistic regression analysis resulted in the development of a model for the diagnosis of high BMI and hyperlipidemia. The model score is an independent risk factor for hyperlipidemia (odds ratio = 2.674, p = 0.001) and high BMI (p < 0.001). The model score is significantly correlated with the controlled attenuation parameter (CAP) value (r = 0.230, p < 0.001) and can be used to divide the severity of liver steatosis based on CAP value. ConclusionsThis study demonstrated a easy-to-use model to detect high BMI, hyperlipidemia, and liver steatosis in people living with HIV without risk factors for BMI changing at baseline after 1 year of ART treatment. Objective: The objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after antiretroviral therapy (ART) and establish a model. Methods: A total of 290 people living with HIV after 1 year of ART treatment were enrolled and divided into two groups based on whether their BMI index was <24 or ⩾24 at week 48. The demographic, clinical data were collected and analyzed. Multivariable logistic regression analysis was performed. A model was established and use to predict the occurrence of certain diseases. Results: A total of 290 people living with HIV were included in this study; 200 had a normal BMI (BMI < 24) and 90 were high BMI (BMI ⩾ 24) after 1-year ART. Their baseline characteristics were significantly different in relation to age (p = 0.007), sex distribution (p = 0.040), ART regimen (p = 0.040), alanine aminotransferase levels (p < 0.001), and three major serum lipid levels: triglycerides (p < 0.001), cholesterol (p = 0.011), and low-density lipoprotein (p = 0.005). A multivariate logistic regression analysis resulted in the development of a model for the diagnosis of high BMI and hyperlipidemia. The model score is an independent risk factor for hyperlipidemia (odds ratio = 2.674, p = 0.001) and high BMI (p < 0.001). The model score is significantly correlated with the controlled attenuation parameter (CAP) value (r = 0.230, p < 0.001) and can be used to divide the severity of liver steatosis based on CAP value. Conclusions: This study demonstrated a easy-to-use model to detect high BMI, hyperlipidemia, and liver steatosis in people living with HIV without risk factors for BMI changing at baseline after 1 year of ART treatment. |
Author | Peng, Jie Liao, Wei Cai, Shaohang Wu, Houji Xu, Xuwen Wu, Yihua Qian, Zhe Yu, Tao |
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Cites_doi | 10.1097/QAD.0000000000002161 10.1016/j.cjca.2018.11.029 10.1177/2325957413488182 10.1016/j.ijid.2019.02.016 10.1093/cid/civ192 10.1196/annals.1367.002 10.1146/annurev-pathol-011110-130254 10.1016/S0140-6736(18)31311-4 10.1038/nrdp.2015.35 10.4081/monaldi.2005.612 10.1007/s11904-020-00531-0 10.1097/QAD.0000000000001587 10.1002/jia2.25732 10.1016/j.jhep.2016.12.022 10.1155/2015/560347 10.1093/cid/ciy146 10.1007/s11904-020-00483-5 10.1097/QAD.0b013e3283324283 10.1371/journal.pone.0010106 10.1089/aid.2015.0147 10.1093/infdis/jiw096 10.1016/S0140-6736(20)31046-1 10.1093/aje/kws321 10.1097/QAI.0b013e31827303d5 |
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Keywords | human immunodeficiency virus liver steatosis hyperlipidemia infection high BMI acquired immunodeficiency syndrome |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Zhe Qian, Houji Wu and Yihua Wu contributed equally. |
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Snippet | Objective:
The objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after... Objective: The objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after... ObjectiveThe objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after... |
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SubjectTerms | Acquired immune deficiency syndrome AIDS Antiretroviral drugs Body mass index Drug therapy HIV Human immunodeficiency virus Hyperlipidemia Original Research Regression analysis |
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Title | A model for predicting high BMI of people living with HIV after receiving antiretroviral therapy |
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