Monocyte to lymphocyte ratio and hemoglobin level to predict tuberculosis after antiretroviral therapy initiation

医学 危险系数 贫血 四分位间距 内科学 比例危险模型 置信区间 血红蛋白 比率 前瞻性队列研究 肺结核 胃肠病学 队列研究 免疫学 病理
作者
Sivaporn Gatechompol,Stephen J. Kerr,Sandra Wagner Cardoso,Wadzanai Samaneka,Srikanth Tripathy,Sheela Godbole,Manisha Ghate,Cecilia Kanyama,Mulinda Nyirenda,Patcharaphan Sugandhavesa,André Machado,Frank van Leth,Thomas Campbell,Susan Swindlells,Anchalee Avihingsanon,Frank Cobelens
出处
期刊:AIDS [Lippincott Williams & Wilkins]
卷期号:38 (1): 31-38 被引量:1
标识
DOI:10.1097/qad.0000000000003713
摘要

Objective: To determine the performance of the baseline monocyte to lymphocyte ratio (MLR), baseline anemia severity and combination of these biomarkers, to predict tuberculosis (TB) incidence in people with HIV (PWH) after antiretroviral therapy (ART) initiation. Design: Multicenter, retrospective cohort study. Methods: We utilized the data from study A5175 (Prospective Evaluation of Antiretroviral Therapy in Resource-limited Settings: PEARLS). We assessed the utility of MLR, anemia severity and in combination, for predicting TB in the first year after ART. Cox regression was used to assess associations of MLR and anemia with incident TB. Harrell's C index was used to describe single model discrimination. Results: A total of 1455 participants with a median age of 34 [interquartile range (IQR) 29, 41] were included. Fifty-four participants were diagnosed with TB. The hazard ratio (HR) for incident TB was 1.77 [95% confidence interval (CI) 1.01–3.07]; P = 0.04 for those with MLR ≥0.23. The HR for mild/mod anemia was 3.35 (95% CI 1.78–6.29; P < 0.001) and 18.16 (95% CI 5.17–63.77; P < 0.001) for severe anemia. After combining parameters, there were increases in adjusted HR (aHR) for MLR ≥0.23 to 1.83 (95% CI 1.05–3.18), and degrees of anemia to 3.38 (95% CI 1.80–6.35) for mild/mod anemia and 19.09 (95% CI 5.43–67.12) for severe anemia. Conclusions: MLR and hemoglobin levels which are available in routine HIV care can be used at ART initiation for identifying patients at high risk of developing TB disease to guide diagnostic and management decisions.

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