Suppr超能文献

体外增加平均红细胞体积差(dMCV)作为犬血清高渗性的标志物。

In vitro increase of mean corpuscular volume difference (dMCV) as a marker for serum hypertonicity in dogs.

作者信息

Reinhart Jennifer M, Yancey Misty R, Pohlman Lisa M, Schermerhorn Thomas

机构信息

Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.

Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.

出版信息

Res Vet Sci. 2014 Jun;96(3):442-6. doi: 10.1016/j.rvsc.2014.03.005. Epub 2014 Mar 18.

Abstract

Spurious increase in erythrocyte mean corpuscular volume (MCV) on automated cell analyzers is a well-characterized lab error in hypertonic patients. A difference between automated and manual MCV (dMCV) greater than 2 fl has been shown to predict hypertonicity in humans. The purpose of this study was to investigate dMCV as a marker for serum hypertonicity in dogs and to examine the relationship between dMCV and three methods of estimating serum tonicity: measured (OsMM), calculated (OsMC), and calculated effective (OsMCE) osmolalities. OsMC, OsMCE, and dMCV were calculated from routine blood values and OsMM was directly measured in 121 dogs. The dMCV of hypertonic dogs was significantly larger than that of normotonic dogs for all three osmolality methods. dMCV predicted hypertonicity as estimated by OsMM better than it predicted hypertonicity as estimated by OsMC and OsMCE. A cutoff of 2.96 fl yielded the best sensitivity (76%) and specificity (71%) for hypertonicity estimated by OsMM.

摘要

在自动血细胞分析仪上,红细胞平均体积(MCV)假性增加是高渗患者中一种特征明确的实验室误差。自动与手动MCV之间的差异(dMCV)大于2 fl已被证明可预测人类的高渗状态。本研究的目的是调查dMCV作为犬血清高渗的标志物,并检查dMCV与三种估计血清渗透压的方法之间的关系:测量的(OsMM)、计算的(OsMC)和计算有效(OsMCE)渗透压。根据常规血液值计算OsMC、OsMCE和dMCV,并在121只犬中直接测量OsMM。对于所有三种渗透压方法,高渗犬的dMCV显著大于等渗犬。dMCV预测OsMM估计的高渗状态比预测OsMC和OsMCE估计的高渗状态更好。对于OsMM估计的高渗状态,截断值为2.96 fl时敏感性(76%)和特异性(71%)最佳。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验