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Effectors of Hyperlipidemia Among Patients with HIV/AIDS Taking Second-line Antiretroviral Therapy Based on Registry Data
OBJECTIVE: In this study, we aimed to determine the prevalence and effectors of hyperlipidemia among People Living with HIV/AIDS (PLWHA) and taking second-line Antiretroviral Therapy (ART) using registry data in central China. METHODS: We conducted a cross-sectional study and collected information o...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933044/ https://www.ncbi.nlm.nih.gov/pubmed/35929632 http://dx.doi.org/10.2174/1570162X20666220805103411 |
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author | Yang, Chunling Wang, Dongli Ma, Yanmin Liu, Zhibin Guo, Huijun Sang, Feng Xu, Qianlei Jin, Yantao |
author_facet | Yang, Chunling Wang, Dongli Ma, Yanmin Liu, Zhibin Guo, Huijun Sang, Feng Xu, Qianlei Jin, Yantao |
author_sort | Yang, Chunling |
collection | PubMed |
description | OBJECTIVE: In this study, we aimed to determine the prevalence and effectors of hyperlipidemia among People Living with HIV/AIDS (PLWHA) and taking second-line Antiretroviral Therapy (ART) using registry data in central China. METHODS: We conducted a cross-sectional study and collected information of PLWHA on second-line ART during 2018 from two medical registries. Hyperlipidemia was defined according to the 2016 Chinese guidelines for the management of dyslipidemia in adults. Univariate and multivariate logistic regression analyses were performed to explore the influencing factors of hyperlipidemia. We calculated Odds Ratios (ORs) and 95% Confidence Intervals (CIs). RESULTS: A total of 2886 PLWHA taking second-line ART were included in this study, and 978 (33.9%) had hyperlipidemia. Female patients, those with hyperglycemia, and patients with CD(4+) cell counts >500 cells/μL had a higher prevalence of hyperlipidemia with 37.0%, 49.0%, and 41.3%, respectively. Multivariate analysis showed that CD(4+) cell count 350-500 cells/μL (OR = 1.72, 95% CI: 1.26-2.38), CD(4+) cell count >500 cells/μL (OR = 2.49, 95% CI: 1.85-3.38), and FPG >6.2 mmol/L (OR = 2.08, 95% CI:1.64-2.65) were risk factors for hyperlipidemia. Male sex (OR = 0.72, 95% CI: 0.61-0.85) and Hb <110 g/L (OR = 0.59, 95% CI: 0.45-0.76) were protective factors against hyperlipidemia. CONCLUSION: PLWHA on second-line ART had a higher prevalence of hyperlipidemia. Gender, CD(4+) cell count, FPG, and hemoglobin were influencing factors of hyperlipidemia. |
format | Online Article Text |
id | pubmed-9933044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-99330442023-02-17 Effectors of Hyperlipidemia Among Patients with HIV/AIDS Taking Second-line Antiretroviral Therapy Based on Registry Data Yang, Chunling Wang, Dongli Ma, Yanmin Liu, Zhibin Guo, Huijun Sang, Feng Xu, Qianlei Jin, Yantao Curr HIV Res Immunology, Inflammation & Allergy OBJECTIVE: In this study, we aimed to determine the prevalence and effectors of hyperlipidemia among People Living with HIV/AIDS (PLWHA) and taking second-line Antiretroviral Therapy (ART) using registry data in central China. METHODS: We conducted a cross-sectional study and collected information of PLWHA on second-line ART during 2018 from two medical registries. Hyperlipidemia was defined according to the 2016 Chinese guidelines for the management of dyslipidemia in adults. Univariate and multivariate logistic regression analyses were performed to explore the influencing factors of hyperlipidemia. We calculated Odds Ratios (ORs) and 95% Confidence Intervals (CIs). RESULTS: A total of 2886 PLWHA taking second-line ART were included in this study, and 978 (33.9%) had hyperlipidemia. Female patients, those with hyperglycemia, and patients with CD(4+) cell counts >500 cells/μL had a higher prevalence of hyperlipidemia with 37.0%, 49.0%, and 41.3%, respectively. Multivariate analysis showed that CD(4+) cell count 350-500 cells/μL (OR = 1.72, 95% CI: 1.26-2.38), CD(4+) cell count >500 cells/μL (OR = 2.49, 95% CI: 1.85-3.38), and FPG >6.2 mmol/L (OR = 2.08, 95% CI:1.64-2.65) were risk factors for hyperlipidemia. Male sex (OR = 0.72, 95% CI: 0.61-0.85) and Hb <110 g/L (OR = 0.59, 95% CI: 0.45-0.76) were protective factors against hyperlipidemia. CONCLUSION: PLWHA on second-line ART had a higher prevalence of hyperlipidemia. Gender, CD(4+) cell count, FPG, and hemoglobin were influencing factors of hyperlipidemia. Bentham Science Publishers 2022-11-30 2022-11-30 /pmc/articles/PMC9933044/ /pubmed/35929632 http://dx.doi.org/10.2174/1570162X20666220805103411 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode |
spellingShingle | Immunology, Inflammation & Allergy Yang, Chunling Wang, Dongli Ma, Yanmin Liu, Zhibin Guo, Huijun Sang, Feng Xu, Qianlei Jin, Yantao Effectors of Hyperlipidemia Among Patients with HIV/AIDS Taking Second-line Antiretroviral Therapy Based on Registry Data |
title | Effectors of Hyperlipidemia Among Patients with HIV/AIDS Taking Second-line Antiretroviral Therapy Based on Registry Data |
title_full | Effectors of Hyperlipidemia Among Patients with HIV/AIDS Taking Second-line Antiretroviral Therapy Based on Registry Data |
title_fullStr | Effectors of Hyperlipidemia Among Patients with HIV/AIDS Taking Second-line Antiretroviral Therapy Based on Registry Data |
title_full_unstemmed | Effectors of Hyperlipidemia Among Patients with HIV/AIDS Taking Second-line Antiretroviral Therapy Based on Registry Data |
title_short | Effectors of Hyperlipidemia Among Patients with HIV/AIDS Taking Second-line Antiretroviral Therapy Based on Registry Data |
title_sort | effectors of hyperlipidemia among patients with hiv/aids taking second-line antiretroviral therapy based on registry data |
topic | Immunology, Inflammation & Allergy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933044/ https://www.ncbi.nlm.nih.gov/pubmed/35929632 http://dx.doi.org/10.2174/1570162X20666220805103411 |
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