PDF(Pubmed)
Abstract：
UNASSIGNED: An accurate urine analysis is a good indicator of the status of the renal and genitourinary system. However, limited studies have been done on comparing the diagnostic performance of the fully automated analyser and manual urinalysis especially in Ghana. This study evaluated the concordance of results of the fully automated urine analyser (Sysmex UN series) and the manual method urinalysis at the Komfo Anokye Teaching Hospital in Kumasi, Ghana. Methodology. Sixty-seven (67) freshly voided urine samples were analysed by the automated urine analyser Sysmex UN series and by manual examination at Komfo Anokye Teaching Hospital, Ghana. Kappa and Bland-Altman plot analyses were used to evaluate the degree of concordance and correlation of both methods, respectively.
UNASSIGNED: Substantial (κ = 0.711, p < 0.01), slight (κ = 0.193, p = 0.004), and slight (κ = 0.109, p < 0.001) agreements were found for urine colour, appearance, and pH, respectively, between the manual and automated methods. A strong and significant correlation (r = 0.593, p < 0.001) was found between both methods for specific gravity with a strong positive linear correlation observed for red blood cell count (r = 0.951, R2 = 0.904, p < 0.001), white blood cell count (r = 0.907, R2 = 0.822, p < 0.001), and epithelial cell count (r = 0.729, R2 = 0.532, p < 0.001). A perfect agreement of urine chemistry results in both methods was observed for nitrite 67 (100%) (κ = 1.000, p < 0.001) with a fair agreement for protein 46 (68.7%) (κ = 0.395, p < 0.001). A strong agreement was found in both methods for the presence of cast 65 (97.0%) (κ = 0.734, p < 0.001) with no concordance observed for the presence of crystals (κ = 0.115, p = 0.326) and yeast-like cells (YLC) (κ = 0.171, p = 0.116).
UNASSIGNED: The automated and manual methods showed similar performances and good correlation, especially for physical and chemical examination. However, manual microscopy remains necessary to classify urine sediments, particularly for bacteria and yeast-like cells. Future research with larger samples could help validate automated urinalysis for wider clinical use and identify areas requiring improved automated detection capabilities.
UNASSIGNED: Substantial (κ = 0.711, p < 0.01), slight (κ = 0.193, p = 0.004), and slight (κ = 0.109, p < 0.001) agreements were found for urine colour, appearance, and pH, respectively, between the manual and automated methods. A strong and significant correlation (r = 0.593, p < 0.001) was found between both methods for specific gravity with a strong positive linear correlation observed for red blood cell count (r = 0.951, R2 = 0.904, p < 0.001), white blood cell count (r = 0.907, R2 = 0.822, p < 0.001), and epithelial cell count (r = 0.729, R2 = 0.532, p < 0.001). A perfect agreement of urine chemistry results in both methods was observed for nitrite 67 (100%) (κ = 1.000, p < 0.001) with a fair agreement for protein 46 (68.7%) (κ = 0.395, p < 0.001). A strong agreement was found in both methods for the presence of cast 65 (97.0%) (κ = 0.734, p < 0.001) with no concordance observed for the presence of crystals (κ = 0.115, p = 0.326) and yeast-like cells (YLC) (κ = 0.171, p = 0.116).
UNASSIGNED: The automated and manual methods showed similar performances and good correlation, especially for physical and chemical examination. However, manual microscopy remains necessary to classify urine sediments, particularly for bacteria and yeast-like cells. Future research with larger samples could help validate automated urinalysis for wider clinical use and identify areas requiring improved automated detection capabilities.
摘要：
■准确的尿液分析是肾脏和泌尿生殖系统状态的良好指标。然而,在比较全自动分析仪和手动尿液分析的诊断性能方面进行了有限的研究，尤其是在加纳。这项研究评估了库马西KomfoAnokye教学医院的全自动尿液分析仪（SysmexUN系列）和手动方法尿液分析结果的一致性，加纳。方法论。通过自动尿液分析仪SysmexUN系列和KomfoAnokye教学医院的手动检查，分析了六十七（67）个新鲜排泄的尿液样本，加纳。Kappa和Bland-Altman图分析用于评估两种方法的一致性和相关性程度。分别。
■大量（κ=0.711，p<0.01），轻微(κ=0.193，p=0.004)，尿液颜色轻微(κ=0.109，p<0.001)一致，外观,pH值,分别,在手动和自动方法之间。在两种比重方法之间发现了很强且显着的相关性（r=0.593，p<0.001），并且在红细胞计数中观察到了很强的正线性相关（r=0.951，R2=0.904，p<0.001），白细胞计数（r=0.907，R2=0.822，p<0.001），和上皮细胞计数（r=0.729，R2=0.532，p<0.001）。在两种方法中，亚硝酸盐67（100％）（κ=1.000，p<0.001）与蛋白质46（68.7％）（κ=0.395，p<0.001）的尿液化学结果完全一致。在两种方法中都发现了存在铸型65（97.0％）（κ=0.734，p<0.001）的强烈一致性，而没有观察到存在晶体（κ=0.115，p=0.326）和酵母样细胞（YLC）（κ=0.171，p=0.116）。
■自动和手动方法显示出相似的性能和良好的相关性，特别是物理和化学检查。然而,手动显微镜仍然需要对尿液沉积物进行分类，特别是细菌和酵母样细胞。未来对更大样本的研究可以帮助验证自动化尿液分析，以实现更广泛的临床应用，并确定需要改进自动检测能力的领域。
■大量（κ=0.711，p<0.01），轻微(κ=0.193，p=0.004)，尿液颜色轻微(κ=0.109，p<0.001)一致，外观,pH值,分别,在手动和自动方法之间。在两种比重方法之间发现了很强且显着的相关性（r=0.593，p<0.001），并且在红细胞计数中观察到了很强的正线性相关（r=0.951，R2=0.904，p<0.001），白细胞计数（r=0.907，R2=0.822，p<0.001），和上皮细胞计数（r=0.729，R2=0.532，p<0.001）。在两种方法中，亚硝酸盐67（100％）（κ=1.000，p<0.001）与蛋白质46（68.7％）（κ=0.395，p<0.001）的尿液化学结果完全一致。在两种方法中都发现了存在铸型65（97.0％）（κ=0.734，p<0.001）的强烈一致性，而没有观察到存在晶体（κ=0.115，p=0.326）和酵母样细胞（YLC）（κ=0.171，p=0.116）。
■自动和手动方法显示出相似的性能和良好的相关性，特别是物理和化学检查。然而,手动显微镜仍然需要对尿液沉积物进行分类，特别是细菌和酵母样细胞。未来对更大样本的研究可以帮助验证自动化尿液分析，以实现更广泛的临床应用，并确定需要改进自动检测能力的领域。
