Sarkar Krishna, Kashyap Bineeta, Jhamb Rajat, Madhu S V, Avasthi Rajnish, Hyanki Puneeta
Department of Microbiology, University College of Medical Sciences and Guru Teg Bahadur Hospital, New Delhi, 110095 India.
Present Address: New Delhi, India.
Indian J Clin Biochem. 2024 Jul;39(3):380-386. doi: 10.1007/s12291-023-01116-5. Epub 2023 Feb 1.
Accurate diagnosis of pulmonary tuberculosis is largely based on sputum smear microscopy, culture, and GeneXpert MTB/RIF tests; culture being the gold standard. All these diagnostic tests require sputum sample to be positive for , while many active TB patients often do not present with positive sputum. Biochemical markers play an important role in early diagnosis, disease prevention, and drug response in tuberculosis. This study aims to find the association of serum adenosine deaminase (a biomarker) with the various microbiological parameters like sputum smear microscopy, culture and CBNAAT in pulmonary tuberculosis patients. A total of 40 cases were collected from November 2019 to October 2021, and the presumptive cases of pulmonary tuberculosis diagnosed by Ziehl-Neelsen staining for acid fast bacilli and/or CBNAAT were recruited. Serum adenosine deaminase levels were estimated.The following variables were significantly associated ( < 0.05) with serum adenosine deaminase levels: age, sputum smear microscopy findings, time to culture positivity, CBNAAT category and Ct value (Mean).This study does witness few significant correlations between serum adenosine deaminase levels and various microbiological parameters used in diagnosis of TB, which can be further explored and utilised in diagnosis and treatment of pulmonary tuberculosis.
肺结核的准确诊断主要基于痰涂片显微镜检查、培养以及GeneXpert MTB/RIF检测;培养是金标准。所有这些诊断测试都要求痰样本呈阳性,而许多活动性肺结核患者的痰往往并非阳性。生物化学标志物在肺结核的早期诊断、疾病预防和药物反应中发挥着重要作用。本研究旨在探讨肺结核患者血清腺苷脱氨酶(一种生物标志物)与各种微生物学参数(如痰涂片显微镜检查、培养和CBNAAT)之间的关联。2019年11月至2021年10月共收集了40例病例,招募了经萋-尼氏抗酸杆菌染色和/或CBNAAT诊断为肺结核的疑似病例,并对血清腺苷脱氨酶水平进行了评估。以下变量与血清腺苷脱氨酶水平显著相关(<0.05):年龄、痰涂片显微镜检查结果、培养阳性时间、CBNAAT类别和Ct值(平均值)。本研究确实证实血清腺苷脱氨酶水平与用于结核病诊断的各种微生物学参数之间存在一些显著相关性,这可在肺结核的诊断和治疗中进一步探索和利用。