Clinical Determinants Associated With Viral Load Count Among Adult TB/HIV Co-Infected Patients: A Linear Mixed-Effects Model Analysis.

IF 1.4 Q4 VIROLOGY
Advances in Virology Pub Date : 2025-08-11 eCollection Date: 2025-01-01 DOI:10.1155/av/4514560
Nurye Seid Muhie, Habib Mohammed Yimam, Awoke Seyoum Tegegne, Abdela Assefa Bekele
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引用次数: 0

Abstract

HIV is a major cause of tuberculosis. The objective of current study was to isolate clinical determinants associated with viral load count among adult TB/HIV co-infected patients. This study was done at the University of Gondar Comprehensive Specialized Hospital from March 2017 to March 2022. In this study, linear mixed-effects models were used for repeated measure viral load count. Results from the analysis show that baseline viral load count (β = 465.1,  p value = 0.0026), hemoglobin levels (β = -493.5,  p value = 0.0107), CD4 cell count (β = -38.2,  p value = 0.0027), CPT (β = -326.8,  p value = 0.0363), functional status (β = 416.0,  p value = 0.0059), OCC (β = 123.0,  p value = 0.0028), tuberculosis type (β = 430.3,  p value = 0.0336), platelet cell count (β = -2.5,  p - value = 0.0005), lymphocyte count (β = -7.9,  p value = 0.0219), and visit time (β = -2.2,  p value = 0.001) were clinical determinants that affected repeated measure viral load count at a 5% level of significance. The study examined clinical determinants of repeated measure viral load count among TB/HIV co-infected patients. The clinical determinants like hemoglobin levels ≥ 11 g/dL, CD4 cell count ≥ 200 cell/mm3, CPT drug users, and platelet cell count, lymphocyte count, and visit time were decreased viral load count. Inversely, baseline viral load count (≥ 10,000 copies/mL), bedridden patients, patients with OCC, and those with extrapulmonary tuberculosis had a higher viral load count. Extensive monitoring and counseling can be beneficial for patients with hemoglobin, CD4 cell count, CPT, platelet cell count, lymphocyte count, visit time, baseline viral load count, and functional status, OCC, and TB type. Finally, further studies should be done in order to address major clinical determinants and enhance continuous follow-ups, monitor TB/HIV progression, and improve the life expectancy of patients living with TB/HIV.

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成人TB/HIV合并感染患者中与病毒载量计数相关的临床决定因素:线性混合效应模型分析
艾滋病毒是结核病的主要病因。本研究的目的是分离成人TB/HIV合并感染患者中与病毒载量计数相关的临床决定因素。本研究于2017年3月至2022年3月在贡达尔大学综合专科医院完成。在本研究中,线性混合效应模型用于重复测量病毒载量计数。结果分析表明,基线病毒载量计数(β= 465.1,p值= 0.0026),血红蛋白水平(β= -493.5,p值= 0.0107),CD4细胞计数(β= -38.2,p值= 0.0027),CPT(β= -326.8,p值= 0.0363),功能状态(β= 416.0,p值= 0.0059),OCC(β= 123.0,p值= 0.0028),结核型(β= 430.3,p值= 0.0336),血小板细胞计数(β= -2.5,p值= 0.0005),淋巴细胞计数(β= -7.9,p值= 0.0219),并访问时间(β= -2.2,p值= 0.001)是影响重复测量病毒载量计数的临床决定因素,其显著性水平为5%。该研究检查了结核/艾滋病合并感染患者重复测量病毒载量计数的临床决定因素。临床决定因素血红蛋白水平≥11 g/dL, CD4细胞计数≥200细胞/mm3, CPT吸毒者,血小板细胞计数,淋巴细胞计数和就诊时间均降低病毒载量计数。相反,基线病毒载量计数(≥10,000拷贝/mL)、卧床不起的患者、OCC患者和肺外结核患者的病毒载量计数更高。对于血红蛋白、CD4细胞计数、CPT、血小板细胞计数、淋巴细胞计数、就诊时间、基线病毒载量计数、功能状态、OCC和结核病类型的患者,广泛的监测和咨询是有益的。最后,应该进行进一步的研究,以解决主要的临床决定因素,加强持续随访,监测结核/艾滋病毒进展,并提高结核/艾滋病毒患者的预期寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
23
审稿时长
22 weeks
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