不同生化指标对胸腔积液的诊断价值

Jaspreet Singh, Khushdeep Singh, Rincal Saini, Umesh Kumar, Shiv K. Sharma, H. Singh
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引用次数: 0

摘要

胸膜积液是指胸膜腔中液体的过度积聚,表明胸膜液的形成和排出不平衡。在诊断和治疗方案中,应将胸腔积液分为渗出液和渗出液。本研究的目的是分析胸腔液的各种生化参数(LDH、pH、葡萄糖、甘油三酯、胆固醇、肌酐、淀粉酶和ADA),并将这些生化参数与患者的诊断联系起来。本研究为基于医院的描述性研究。这项研究对100个样本进行了为期一年的研究。本研究共纳入100例样本。采集血清和胸腔液标本,采用半自动分析仪进行定量分析。本研究结果表明:胸膜液葡萄糖浓度的平均值±SD为65.69±14.13 mg/dl,总蛋白浓度为3.53±1.53g/dl,白蛋白浓度为1.64±0.85g/dl,胆固醇浓度为58.9±13.05mg/dl,甘油三酯浓度为68.7±10.47mg/dl,肌酐浓度为1.73±0.96mg/dl,淀粉酶浓度为49.56±17.78IU/L, LDH浓度为299.82±65.46 U/L, ADA浓度为49.56±17.78U/L。结论生化指标对胸腔积液的诊断有重要意义。当这些标记物共同使用时,它们的诊断效能大大提高。SEAG在鉴别变性积液方面优于Light的标准。我们还观察到,Light的标准比SEAG更好地识别渗出积液。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic role of different biochemical parameters in pleural effusion
A pleural effusion, an excessive accumulation of fluid in the pleural space, indicates an imbalance between pleural fluid formation and removal. For diagnosing and treatment plan, pleural effusions have to be classified into transudate and exudate. The aim of present study was to analyze various biochemical parameters (LDH, pH, Glucose, Triglycerides, Cholesterol, Creatinine, Amylase and ADA) in pleural fluid and to correlate these Biochemical parameters with diagnosis of the patients. The study was a hospital based descriptive study. The study was conducted over a period of one year on 100 samples. Total 100 samples were enrolled in the study. Both serum and pleural fluid samples were collected and quantitatively analyzed using semi-automated analyzer. The results of the present study shows thatThe Mean±SD of concentration of glucose in pleural fluid was 65.69±14.13 mg/dl, total protein 3.53±1.53g/dl, albumin 1.64±0.85g/dl, cholesterol 58.9±13.05mg/dl, triglycerides 68.7±10.47mg/dl, creatinine 1.73±0.96mg/dl, amylase 49.56±17.78IU/L, LDH 299.82±65.46 U/L and ADA was 49.56±17.78U/L.It was concluded that Biochemical parameters play important role in diagnosing Pleural effusions. These markers when used collectively their diagnostic efficacy is greatly increased. The SEAG is superior to Light's criteria in identifying the transudative effusions. It is also observed that Light's criteria identified exudative effusions better than SEAG.
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