Differential diagnosis of tuberculous and malignant pleural effusions: comparison of the Th1/Th2 cytokine panel, tumor marker panel and chemistry panel
SCANDINAVIAN JOURNAL OF CLINICAL & LABORATORY INVESTIGATION
Authors: Zhang, Jiang; Chen, Yili; He, Guodong; Jiang, Xiaobing; Chen, Peisong; Ouyang, Juan
Abstract
The differentiation between tuberculous plural effusion (TPE) and malignant plural effusion (MPE) remains a major clinical challenge in the diagnosis and management of pleural effusions, especially in developing countries with a high incidence of tuberculosis. We aimed to evaluate the diagnostic value of cytokines, tumor markers and biochemical markers in the differentiation of TPE and MPE. Two hundred and forty-two patients were included, of whom 134 were diagnosed with MPE and 108 were diagnosed with TPE. In total, 12 markers were tested in pleural effusion samples from all subjects: Interleukin-2 (IL-2), Tumor necrosis factor alpha (TNF-alpha), Interferon (IFN)-gamma, interleukins-4, 6, 10 (IL-4,6,10), cytokeratin-19 fragment (CYFRA 21-1), carcinoembryonic antigen (CEA), neuron specific enolase (NSE), adenosine deaminase (ADA), lactate dehydrogenase (LDH) and high sensitivity C- reactive protein (Hs-CRP). The diagnostic value of each marker was evaluated and compared by receiver operating characteristic (ROC) curves. In the 12 markers evaluated, TNF-alpha, IFN-gamma, IL-6, CYFRA 21-1, CEA, ADA and Hs-CRP were significantly different between the TPE and MPE groups, and the areas under the ROC curves were 0.624, 0.942, 0.619, 0.808, 0.903, 0.842 and 0.917, respectively. IFN-gamma showed a better diagnostic performance than the other markers. With a cut-off value of >2.45 pg/mL, the sensitivity and specificity of IFN-gamma were 91.11 and 91.94%, respectively. TNF-alpha, IFN-gamma, IL-6, CYFRA 21-1, CEA, ADA and Hs-CRP were useful in the differentiation between the TPE and MPE groups. IFN-gamma showed a better diagnostic performance than the multitude of other markers evaluated in this study, which is satisfactory for the discrimination of TPE and MPE.
Review of methods for detecting glycemic disorders
DIABETES RESEARCH AND CLINICAL PRACTICE
Authors: Bergman, Michael; Abdul-Ghani, Muhammad; DeFronzo, Ralph A.; Manco, Melania; Sesti, Giorgio; Fiorentino, Teresa Vanessa; Ceriello, Antonio; Rhee, Mary; Phillips, Lawrence S.; Chung, Stephanie; Cravalho, Celeste; Jagannathan, Ram; Monnier, Louis; Colette, Claude; Owens, David; Bianchi, Cristina; del Prato, Stefano; Monteiro, Mariana P.; Neves, Joao Sergio; Medina, Jose Luiz; Macedo, Maria Paula; Ribeiro, Rogerio Tavares; Raposo, Joao Filipe; Dorcely, Brenda; Ibrahim, Nouran; Buysschaert, Martin
Abstract
Prediabetes (intermediate hyperglycemia) consists of two abnormalities, impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) detected by a standardized 75-gram oral glucose tolerance test (OGTT). Individuals with isolated IGT or combined IFG and IGT have increased risk for developing type 2 diabetes (T2D) and cardiovascular disease (CVD). Diagnosing prediabetes early and accurately is critical in order to refer high-risk individuals for intensive lifestyle modification. However, there is currently no international consensus for diagnosing prediabetes with HbA1c or glucose measurements based upon American Diabetes Association (ADA) and the World Health Organization (WHO) criteria that identify different populations at risk for progressing to diabetes. Various caveats affecting the accuracy of interpreting the HbA1c including genetics complicate this further. This review describes established methods for detecting glucose disorders based upon glucose and HbA1c parameters as well as novel approaches including the 1-hour plasma glucose (1-h PG), glucose challenge test (GCT), shape of the glucose curve, genetics, continuous glucose monitoring (CGM), measures of insulin secretion and sensitivity, metabolomics, and ancillary tools such as fructosamine, glycated albumin (GA), 1,5-anhydroglucitol (1,5-AG). Of the approaches considered, the 1-h PG has considerable potential as a biomarker for detecting glucose disorders if confirmed by additional data including health economic analysis. Whether the 1-h OGTT is superior to genetics and omics in providing greater precision for individualized treatment requires further investigation. These methods will need to demonstrate substantially superiority to simpler tools for detecting glucose disorders to justify their cost and complexity. Published by Elsevier B.V.