背景:全球排名高于艾滋病毒/艾滋病,由于艾滋病毒的高度进展,结核病继续对公共卫生和死亡的主要原因产生重大影响。本研究的目的是确定在冈达尔大学综合专科医院接受TB/HIV治疗的TB/HIV共感染成年人中影响双变量血液学参数的联合临床决定因素。
方法:这些研究的结果是在冈达尔大学综合专科医院进行的,Gondar,埃塞俄比亚通过使用2015年9月至2022年3月G.C的回顾性队列随访研究,该研究的数据来源是从患者图表中获得的次要数据。在面板数据集中使用纵向线性混合效应子模型的贝叶斯方法来获得有关TB/HIV合并感染患者的广泛信息。
结果:在148名合并感染的参与者中,超过一半的患者(56.1%)和(52.7%)占CPT和INH非使用者,其中死亡结局分别为10.8%和10.3%。选择随机截距和斜率模型,根据偏差信息标准(DIC)重复测量血红蛋白水平和血细胞比容,和全模型下的方向概率(Pd)。
结论:目前的研究表明,临床预测红细胞计数,血小板细胞计数,公平和良好的治疗依从性,其他ART团,IPT吸毒者,病毒载量<10,000拷贝/mL,与高血红蛋白水平浓度有关,淋巴细胞计数,WHO临床IV期,1e艺术团,和OIs患者的结果为低血红蛋白水平浓度。同样,红细胞计数,血小板细胞计数,公平和良好的治疗依从性,IPT吸毒者,和病毒载量计数<10,000拷贝/mL共感染的患者有高血细胞比容,而淋巴细胞计数,WHO临床III期,1cART团,OIs患者会导致血细胞比容降低。当合并感染的患者再次回到医院时,卫生专业人员会更加关注这些重要的预测因子,以减少疾病的进展。此外,医务人员应对个人进行健康相关教育,以检查合并感染患者的连续检查。
BACKGROUND: Worldwide ranking above HIV/AIDS, tuberculosis is continues to have a significant effect on public health and the leading cause of death due to high progression of HIV. The objective of current study was identify joint clinical determinants that affecting bivariate hematological parameter among TB/HIV co-infected adults under TB/HIV treatment in university of Gondar comprehensive specialized hospital.
METHODS: The result of these study was conducted at university of Gondar comprehensive specialized hospital, Gondar, Ethiopia by using a retrospective cohort follow up
study from September 2015-march 2022 G.C. The source of data in this
study was secondary data obtained from patients chart. Bayesian approach of longitudinal linear mixed effect sub model was used in panel data set to get wide range of information about TB/HIV co-infected patients.
RESULTS: Out of 148 co-infected participants more than half of the patients (56.1%) and (52.7%) accounted for CPT and INH non users, of which 10.8% and 10.3% had the outcome of mortality respectively. The random intercept and slope model were selected for repeated measure hemoglobin level and
hematocrit based on deviance information criteria (DIC), and probability of direction (Pd) under the full model.
CONCLUSIONS: Current study revealed that clinical predictors red blood cell count, platelet cell count, fair and good treatment adherence, other ART regiment, IPT drug users, and viral load count < 10,000 copies/mL, were associated with high hemoglobin level concentration while, lymphocyte count, WHO clinical stage-IV,1e ART regiment, and patients with OIs results for low hemoglobin level concentration. Likewise, red blood cell count, platelet cell count, fair and good treatment adherence, IPT drug users, and viral load count < 10,000 copies/mL co-infected patients had high
hematocrit, while lymphocyte count, WHO clinical stage-III,1c ART regiment, and patients with OIs significantly leads to low
hematocrit. Health professionals give more attention to these important predictors to reduce progression of disease when the co-infected patients come back again in the hospital. In addition, health staff should conduct health related education for individuals to examine continuous check-up of co-infected patients.