{"title":"抗坏血酸和葡萄糖会对尿液中生化分析物的定量检测造成严重干扰。","authors":"Sara Mašković, Nora Nikolac Gabaj","doi":"10.1093/labmed/lmae089","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>Preanalytical errors due to interferences can lead to inaccurate results, necessitating an understanding of potential interferences for each test. This study explores the impact of elevated concentrations of ascorbic acid and glucose on urine analysis, a pivotal diagnostic tool.</p><p><strong>Methods: </strong>Conducted at the Clinical Institute of Chemistry, KBC Sestre milosrdnice, the research utilized a 24-hour urine sample. Parameters assessed included total proteins, albumin, amylase, sodium, potassium, chlorides, calcium, phosphates, magnesium, creatinine, urea, and uric acid. Various concentrations of added interferents were prepared for duplicate measurements using statistical analysis in Microsoft Excel.</p><p><strong>Results: </strong>No statistically significant interferences were found in albumin, amylase, sodium, potassium, or phosphate concentrations. However, ascorbic acid interfered with chloride, calcium, and magnesium determinations. Conversely, elevated glucose affected total protein, calcium, magnesium, creatinine, urea, and uric acid determinations. Interference of ascorbic acid with chloride and interference of glucose with total proteins and uric acid displayed a linear relationship.</p><p><strong>Conclusions: </strong>Results suggest cautious analysis interpretation from certain parameters in patients with elevated glucose and/or ascorbic acid in urine. Whereas ascorbic acid interference may go unnoticed due to its infrequent measurement, routine determination of glucose in urine is crucial, especially for diabetes patients.</p>","PeriodicalId":94124,"journal":{"name":"Laboratory medicine","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ascorbic acid and glucose can cause significant interference on quantitative measurement of biochemistry analytes in urine.\",\"authors\":\"Sara Mašković, Nora Nikolac Gabaj\",\"doi\":\"10.1093/labmed/lmae089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aims: </strong>Preanalytical errors due to interferences can lead to inaccurate results, necessitating an understanding of potential interferences for each test. This study explores the impact of elevated concentrations of ascorbic acid and glucose on urine analysis, a pivotal diagnostic tool.</p><p><strong>Methods: </strong>Conducted at the Clinical Institute of Chemistry, KBC Sestre milosrdnice, the research utilized a 24-hour urine sample. Parameters assessed included total proteins, albumin, amylase, sodium, potassium, chlorides, calcium, phosphates, magnesium, creatinine, urea, and uric acid. Various concentrations of added interferents were prepared for duplicate measurements using statistical analysis in Microsoft Excel.</p><p><strong>Results: </strong>No statistically significant interferences were found in albumin, amylase, sodium, potassium, or phosphate concentrations. However, ascorbic acid interfered with chloride, calcium, and magnesium determinations. Conversely, elevated glucose affected total protein, calcium, magnesium, creatinine, urea, and uric acid determinations. Interference of ascorbic acid with chloride and interference of glucose with total proteins and uric acid displayed a linear relationship.</p><p><strong>Conclusions: </strong>Results suggest cautious analysis interpretation from certain parameters in patients with elevated glucose and/or ascorbic acid in urine. Whereas ascorbic acid interference may go unnoticed due to its infrequent measurement, routine determination of glucose in urine is crucial, especially for diabetes patients.</p>\",\"PeriodicalId\":94124,\"journal\":{\"name\":\"Laboratory medicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Laboratory medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/labmed/lmae089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Laboratory medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/labmed/lmae089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景和目的:干扰导致的分析前误差会导致结果不准确,因此有必要了解每种检验的潜在干扰。本研究探讨了抗坏血酸和葡萄糖浓度升高对尿液分析这一关键诊断工具的影响:研究在 KBC Sestre milosrdnice 临床化学研究所进行,采用 24 小时尿液样本。评估参数包括总蛋白、白蛋白、淀粉酶、钠、钾、氯化物、钙、磷酸盐、镁、肌酐、尿素和尿酸。使用 Microsoft Excel 进行统计分析,准备了不同浓度的添加干扰物进行重复测量:结果:在白蛋白、淀粉酶、钠、钾或磷酸盐浓度方面没有发现统计学意义上的明显干扰。然而,抗坏血酸会干扰氯化物、钙和镁的测定。相反,葡萄糖升高会影响总蛋白、钙、镁、肌酐、尿素和尿酸的测定。抗坏血酸对氯化物的干扰与葡萄糖对总蛋白和尿酸的干扰呈线性关系:结果表明,对于尿液中葡萄糖和/或抗坏血酸升高的患者,对某些参数的分析解释应谨慎。抗坏血酸的干扰可能会因为不经常测量而被忽视,而尿液中葡萄糖的常规测定则至关重要,尤其是对糖尿病患者而言。
Ascorbic acid and glucose can cause significant interference on quantitative measurement of biochemistry analytes in urine.
Background and aims: Preanalytical errors due to interferences can lead to inaccurate results, necessitating an understanding of potential interferences for each test. This study explores the impact of elevated concentrations of ascorbic acid and glucose on urine analysis, a pivotal diagnostic tool.
Methods: Conducted at the Clinical Institute of Chemistry, KBC Sestre milosrdnice, the research utilized a 24-hour urine sample. Parameters assessed included total proteins, albumin, amylase, sodium, potassium, chlorides, calcium, phosphates, magnesium, creatinine, urea, and uric acid. Various concentrations of added interferents were prepared for duplicate measurements using statistical analysis in Microsoft Excel.
Results: No statistically significant interferences were found in albumin, amylase, sodium, potassium, or phosphate concentrations. However, ascorbic acid interfered with chloride, calcium, and magnesium determinations. Conversely, elevated glucose affected total protein, calcium, magnesium, creatinine, urea, and uric acid determinations. Interference of ascorbic acid with chloride and interference of glucose with total proteins and uric acid displayed a linear relationship.
Conclusions: Results suggest cautious analysis interpretation from certain parameters in patients with elevated glucose and/or ascorbic acid in urine. Whereas ascorbic acid interference may go unnoticed due to its infrequent measurement, routine determination of glucose in urine is crucial, especially for diabetes patients.