Wald Ron, Bell Chaim M, Nisenbaum Rosane, Perrone Samuel, Liangos Orfeas, Laupacis Andreas, Jaber Bertrand L
Department of Medicine, Division of Nephrology, St Michael's Hospital, Toronto, ON, Canada.
Clin J Am Soc Nephrol. 2009 Mar;4(3):567-71. doi: 10.2215/CJN.05331008. Epub 2009 Mar 4.
Urine sediment interpretation is frequently used in the evaluation of patients with kidney disease. There has been no systematic evaluation of the reliability of this diagnostic maneuver.
DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Digital photographs of urine sediment images were acquired from 165 consecutive patients being evaluated by the nephrology consultation service at a tertiary care hospital. Urine sediment images of 100 patients were randomly selected; 86 patients had images that were deemed to be of sufficient quality, and one image per patient was chosen for inclusion in an internet-based questionnaire. For each image, the presence or absence of 14 potential urinary structures was ascertained. Ten nephrologists (senior readers [n = 3]: >10 yr of experience; intermediate readers [n = 3]: 1 to 10 yr of experience; and junior readers [n = 4]: first year of practice) completed the questionnaire. For each urinary structure, we measured the rate of complete agreement among the readers as well as the kappa statistic as a marker of agreement beyond chance.
Unanimous agreement was highest (79.1%) regarding the presence of broad and fatty casts and poorest (31.4%) for the identification of dysmorphic red blood cells and white blood cells. Interobserver agreement was best for squamous epithelial cells (kappa = 0.54) and hyaline casts (kappa = 0.52) and worst for transitional epithelial cells (kappa = 0.14) and fatty casts (kappa = 0.06). When assessed within strata of physician experience, interobserver agreement was not associated with seniority.
Nephrologists achieved slight to moderate agreement in the identification of structures that are commonly observed in the urine sediment.
尿沉渣分析常用于肾病患者的评估。目前尚未对这种诊断方法的可靠性进行系统评估。
设计、地点、参与者与测量方法:从一家三级医院肾内科会诊服务正在评估的165例连续患者中获取尿沉渣图像的数码照片。随机选择100例患者的尿沉渣图像;86例患者的图像质量被认为足够,每位患者选取一张图像纳入基于互联网的问卷。对于每张图像,确定14种潜在尿液成分的有无。10位肾内科医生(资深阅片者[n = 3]:经验>10年;中级阅片者[n = 3]:经验1至10年;初级阅片者[n = 4]:实习第一年)完成问卷。对于每种尿液成分,我们测量阅片者之间的完全一致率以及作为超出偶然一致指标的kappa统计量。
对于宽大脂肪管型的存在,一致同意率最高(79.1%),而对于畸形红细胞和白细胞的识别,一致同意率最低(31.4%)。观察者间一致性对于鳞状上皮细胞(kappa = 0.54)和透明管型(kappa = 0.52)最佳,对于移行上皮细胞(kappa = 0.14)和脂肪管型(kappa = 0.06)最差。在医生经验分层内评估时,观察者间一致性与资历无关。
肾内科医生在识别尿沉渣中常见成分方面达成了轻微到中等程度的一致。