Ben Huang, Shuxian Miao, Yan Xu, Si-Jie Qiu, Rui-Xia Yang, Hua-Guo Xu
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To quantify clinical fluctuations, percentage bias was calculated, and Bland–Altman plots were employed.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Our observational study demonstrated significant postprandial variations for APRPs. For CRP, 17 (34%) of 50 subjects at T1, 21 (42%) at T2, 23 (46%) at T3, and 16 (32%) at T4 exhibited levels exceeding the maximum allowable error in medical laboratory testing, indicating clinically unacceptable bias. For IL-6, thirty subjects (60%) at T1, 27 (54%) at T2, 28 (56%) at T3, and 32 (64%) at T4 displayed clinically unacceptable fluctuations. Among other APRPs, the maximum number of subjects exceeding acceptable bias thresholds was 28% (14/50) for procalcitonin, 38% (19/50) for transferrin, 34% (17/50) for prealbumin, and 24% (12/50) for ceruloplasmin.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Clinical fluctuations were observed in the levels of APRPs between fasting and nonfasting states. Clinicians should pay attention to the effects of dietary factors on test results.</p>\n </section>\n </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"39 12","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcla.70052","citationCount":"0","resultStr":"{\"title\":\"Fluctuations and Changes in Acute Phase Reactive Proteins in Fasting and Nonfasting States\",\"authors\":\"Ben Huang, Shuxian Miao, Yan Xu, Si-Jie Qiu, Rui-Xia Yang, Hua-Guo Xu\",\"doi\":\"10.1002/jcla.70052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>In clinical practice, acute-phase reactive proteins (APRPs) are frequently measured at random times. However, it is unclear whether the use of fasting or nonfasting samples affects results. This study aims to investigate the variations of APRPs between fasting and nonfasting conditions.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This study was conducted based on the oral glucose tolerance test (OGTT) experiment due to standard energy intake and strict time flow. Fifty subjects were enrolled and underwent a 12-h fasting period before the experiment. Blood samples were collected the following day at baseline (fasting, T0) and 30 (T1), 60 (T2), 120 (T3), 180 (T4) minutes postglucose intake. A total of 250 blood samples were obtained. To quantify clinical fluctuations, percentage bias was calculated, and Bland–Altman plots were employed.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Our observational study demonstrated significant postprandial variations for APRPs. For CRP, 17 (34%) of 50 subjects at T1, 21 (42%) at T2, 23 (46%) at T3, and 16 (32%) at T4 exhibited levels exceeding the maximum allowable error in medical laboratory testing, indicating clinically unacceptable bias. For IL-6, thirty subjects (60%) at T1, 27 (54%) at T2, 28 (56%) at T3, and 32 (64%) at T4 displayed clinically unacceptable fluctuations. Among other APRPs, the maximum number of subjects exceeding acceptable bias thresholds was 28% (14/50) for procalcitonin, 38% (19/50) for transferrin, 34% (17/50) for prealbumin, and 24% (12/50) for ceruloplasmin.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Clinical fluctuations were observed in the levels of APRPs between fasting and nonfasting states. Clinicians should pay attention to the effects of dietary factors on test results.</p>\\n </section>\\n </div>\",\"PeriodicalId\":15509,\"journal\":{\"name\":\"Journal of Clinical Laboratory Analysis\",\"volume\":\"39 12\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcla.70052\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Laboratory Analysis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jcla.70052\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Laboratory Analysis","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jcla.70052","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Fluctuations and Changes in Acute Phase Reactive Proteins in Fasting and Nonfasting States
Background
In clinical practice, acute-phase reactive proteins (APRPs) are frequently measured at random times. However, it is unclear whether the use of fasting or nonfasting samples affects results. This study aims to investigate the variations of APRPs between fasting and nonfasting conditions.
Methods
This study was conducted based on the oral glucose tolerance test (OGTT) experiment due to standard energy intake and strict time flow. Fifty subjects were enrolled and underwent a 12-h fasting period before the experiment. Blood samples were collected the following day at baseline (fasting, T0) and 30 (T1), 60 (T2), 120 (T3), 180 (T4) minutes postglucose intake. A total of 250 blood samples were obtained. To quantify clinical fluctuations, percentage bias was calculated, and Bland–Altman plots were employed.
Results
Our observational study demonstrated significant postprandial variations for APRPs. For CRP, 17 (34%) of 50 subjects at T1, 21 (42%) at T2, 23 (46%) at T3, and 16 (32%) at T4 exhibited levels exceeding the maximum allowable error in medical laboratory testing, indicating clinically unacceptable bias. For IL-6, thirty subjects (60%) at T1, 27 (54%) at T2, 28 (56%) at T3, and 32 (64%) at T4 displayed clinically unacceptable fluctuations. Among other APRPs, the maximum number of subjects exceeding acceptable bias thresholds was 28% (14/50) for procalcitonin, 38% (19/50) for transferrin, 34% (17/50) for prealbumin, and 24% (12/50) for ceruloplasmin.
Conclusion
Clinical fluctuations were observed in the levels of APRPs between fasting and nonfasting states. Clinicians should pay attention to the effects of dietary factors on test results.
期刊介绍:
Journal of Clinical Laboratory Analysis publishes original articles on newly developing modes of technology and laboratory assays, with emphasis on their application in current and future clinical laboratory testing. This includes reports from the following fields: immunochemistry and toxicology, hematology and hematopathology, immunopathology, molecular diagnostics, microbiology, genetic testing, immunohematology, and clinical chemistry.