Article
Immunology
Ying Luo, Ying Xue, Qun Lin, Liyan Mao, Guoxing Tang, Huijuan Song, Wei Liu, Shiji Wu, Weiyong Liu, Yu Zhou, Lingqing Xu, Zhigang Xiong, Ting Wang, Xu Yuan, Yong Gan, Ziyong Sun, Feng Wang
Summary: The study established a diagnostic model based on a combination of CSF chlorine, CSF nucleated cell count, CSF lymphocyte proportion, and the tuberculosis-specific antigen/phytohemagglutinin (TBAg/PHA) ratio, which showed excellent utility in discriminating between TBM and BM, with high sensitivity and specificity.
FRONTIERS IN IMMUNOLOGY
(2021)
Article
Clinical Neurology
An Wen, Shi-Min Liu, Wen-Feng Cao, Yong-Liang Zhou, Chao-Qun Luo, Zheng-Bing Xiang, Fan Hu, Ping Zhang, Er-Ling Leng
Summary: This study aimed to develop a simple diagnostic algorithm based on clinical and laboratory test results as an early predictor of tuberculous meningitis (TBM) in South China. Five characteristics were found to be predictive of TBM, and a new scoring system was developed with a sensitivity of 81.6% and specificity of 93.6%. This system can be used in countries with limited resources.
FRONTIERS IN NEUROLOGY
(2022)
Article
Infectious Diseases
Yuying Lu, Caiyu Ma, Ru Chen, Zhongyang Hu, Huan Yao, Qinghua Zhang, Haixia Zhu, Zhen Wang, Zhi Song, Chen Zhang, Ding Liu
Summary: A new diagnostic scoring system was developed and validated for efficiently diagnosing tuberculous meningitis (TBM) by comparing multiple factors and using logistic regression analysis.
DIAGNOSTIC MICROBIOLOGY AND INFECTIOUS DISEASE
(2021)
Article
Clinical Neurology
Mailing Huang, Zeyu Ding, Wensheng Li, Weibi Chen, Yadong Du, Hongyan Jia, Qi Sun, Boping Du, Rongrong Wei, Aiying Xing, Qi Li, Naihui Chu, Liping Pan
Summary: This study discovered that specific biomarkers in cerebrospinal fluid can help diagnose and understand the pathogenesis of tuberculous meningitis (TBM). By analyzing the expression of proteins in CSF, it is possible to distinguish between TBM and non-TBM patients, providing a useful panel for TBM diagnosis.
FRONTIERS IN NEUROLOGY
(2022)
Article
Medicine, General & Internal
Semsi Nur Karabela, Gulten Unlu, Sevtap Senoglu, Esra Canbolat Unlu, Ramazan Korkusuz, Kadriye Kart Yasar
Summary: The study retrospectively evaluated the characteristics of TBM patients and found that TDSI, MDSI, and CPM evaluation methods are easily applicable and helpful techniques for rapid and accurate TBM diagnosis.
MEDICAL JOURNAL OF BAKIRKOY
(2021)
Review
Microbiology
Charles M. Manyelo, Regan S. Solomons, Gerhard Walz, Novel N. Cheyou
Summary: Tuberculous meningitis is a devastating form of tuberculosis with limited understanding of its immunology and pathogenesis. Further research is urgently needed to improve disease management and develop new therapeutic approaches.
JOURNAL OF CLINICAL MICROBIOLOGY
(2021)
Article
Respiratory System
Jean Pastre, Scott D. Barnett, Inga Ksovreli, Nesrin Mogulkoc, Vijaya Ramalingam, Cesar Fukuda, Anusha Yelisetty, Omer Selim Unat, A. Whitney Brown, Oksana A. Shlobin, Kareem Ahmad, Vikramjit Khangoora, Shambhu Aryal, Christopher King, Steven D. Nathan
Summary: A clinical scoring model was established and validated to help stratify the risk of IPF diagnosis in ILD patients, showing high accuracy across multiple cohorts. This tool can increase confidence in diagnosing IPF and potentially reduce the need for lung biopsy in certain cases.
ANNALS OF THE AMERICAN THORACIC SOCIETY
(2021)
Article
Infectious Diseases
Shuang Cao, Xin Gao, Guangjian Bai, Baoquan Xin, Tao Wang, Jiashi Cao, Kai Lv, Chengzhang Zhu, Xiangzhi Ni, Weiwei Zou, Yejin Zhou, Jianru Xiao, Tielong Liu
Summary: The study established and validated a scoring system to differentiate spinal TB from MT, with a sensitivity of 87.9% and specificity of 91.6%. The system assigns scores to specific diagnostic factors and can aid clinicians in quick and accurate differential diagnosis.
INFECTION AND DRUG RESISTANCE
(2021)
Article
Medicine, Research & Experimental
Qi Wang, Qingwen Lin, Haiyan Wang, Minjie Tang, Kengna Fan, Zeqin Zhang, Er Huang, Weiqing Zhang, Fengqing Wang, Qishui Ou, Xiaofeng Liu
Summary: CSF NGAL may serve as a potential biomarker for distinguishing between acute bacterial meningitis (BM) and tuberculous meningitis (TBM) or cryptococcal meningitis (CM). Additionally, it holds clinical significance in monitoring the effectiveness of antibiotic therapy for BM.
JOURNAL OF TRANSLATIONAL MEDICINE
(2023)
Article
Respiratory System
Senquan Wu, Shaomei Li, Nianxin Fang, Weiliang Mo, Huadong Wang, Ping Zhang
Summary: This study developed a scoring diagnostic model to differentiate tuberculous pleural effusion from non-tuberculous pleural effusion. By selecting six clinical features and laboratory variables, the model showed high sensitivity, specificity, and accuracy in diagnosing TBPE.
BMC PULMONARY MEDICINE
(2022)
Review
Public, Environmental & Occupational Health
Ya-Li Chen, Meng-Meng Zhu, Cui-Ping Guan, Yan-An Zhang, Mao-Shui Wang
Summary: The performance of cerebrospinal fluid lipoarabinomannan (LAM) assay in diagnosing tuberculous meningitis (TBM) is unsatisfactory, according to current evidence. More prospective studies are needed to validate its accuracy, and optimization of the assay should be considered.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Medicine, General & Internal
Chih-Lung Shen, Tsung-Cheng Hsieh, Tso-Fu Wang, Wei-Han Huang, Sung-Chao Chu, Yi-Feng Wu
Summary: This study developed a high-sensitivity scoring system using routine lab data to differentiate essential thrombocytosis (ET) from reactive thrombocytosis (RT), with a focus on increasing the convenience for clinical practice. The scoring system assigned values to different risk factors, leading to a more economical and simple method for classification with a sensitivity of 91.1% and specificity of 75.8%.
FRONTIERS IN MEDICINE
(2021)
Article
Biotechnology & Applied Microbiology
Hongyan He, Yueli Zou, Junying He, Hui Bu, Yaling Liu
Summary: This study aimed to create a scoring system based on clinical and laboratory data to diagnose tuberculous meningitis in Chinese patients, achieving a sensitivity of 87% and specificity of 94%. Five variables were found to be independently associated with tuberculous meningitis, providing a tool for doctors to differentiate it from bacterial meningitis.
BIOMED RESEARCH INTERNATIONAL
(2021)
Review
Medicine, General & Internal
You Lan, Wei Chen, Qun Yan, Wenen Liu
Summary: This study systematically evaluated the performance of IGRAs in diagnosing TBM and found suboptimal diagnostic performance, making them unsuitable as biomarkers for TBM diagnosis due to issues with cost, turn-around time, and accessibility.
ARCHIVES OF MEDICAL SCIENCE
(2021)
Review
Immunology
An Wen, Er-Ling Leng, Shi-Min Liu, Yong-Liang Zhou, Wen-Feng Cao, Dong-Yuan Yao, Fan Hu
Summary: In this meta-analysis, we found that cerebrospinal fluid (CSF) interferon release assays (IGRAs) exhibited a better diagnostic accuracy than blood IGRAs in diagnosing tuberculous meningitis (TBM).
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2022)
