Sociedad Integral de Especialistas en Salud (SIES Salud IPS), Bogotá, Colombia.
PhD Program in Public Health, Universidad Nacional de Colombia, Bogotá, Colombia.
AIDS Behav. 2021 Feb;25(2):623-633. doi: 10.1007/s10461-020-03025-7.
Predictive approaches in HIV to estimate a patient's risk to present with relevant health outcomes, such as hospitalizations and AIDS-related death, long before they happen, could be highly useful. We aimed to develop a risk classification instrument for virological failure through a scoring system that identifies patients with a low, medium, and high risk after six months of ART treatment. A case-control design was implemented through 355 HIV-positive Colombian adults who were assessed using the designed instrument. The variables with independent predictive values were selected using logistic regression analysis, and the diagnostic performance of the prediction score was evaluated using the area under the curve. The prediction score included relevant psychosocial and biological risk factors, some of them modifiable variables like substance use and low health literacy. The area under the curve value for the total prediction score was 0.85 (CI 0.80-0.90). Therefore, this instrument could be a valuable tool to identify at-risk patients of virological failure. In low and middle-income countries, the associated risk factors of virological failure are little known. Assessing such risk would lead to make individualized decisions regarding the patient's management and minimize the chance of non-desirable outcomes.
预测方法可用于 HIV,在相关健康结果(如住院和艾滋病相关死亡)发生之前很久,就预测患者出现这些结果的风险,这可能非常有用。我们旨在通过评分系统开发一种用于病毒学失败的风险分类工具,该系统可在接受抗逆转录病毒治疗 6 个月后识别出低、中、高风险患者。通过对 355 名接受评估的哥伦比亚 HIV 阳性成年人实施病例对照设计,建立了该工具。使用逻辑回归分析选择具有独立预测价值的变量,并使用曲线下面积评估预测评分的诊断性能。预测评分包括相关的心理社会和生物学风险因素,其中一些是可改变的变量,如药物使用和低健康素养。总预测评分的曲线下面积值为 0.85(CI 0.80-0.90)。因此,该工具可能是识别病毒学失败高危患者的有用工具。在低收入和中等收入国家,病毒学失败的相关风险因素知之甚少。评估这种风险将有助于针对患者的管理做出个体化决策,并最大限度地减少不良结果的发生。