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中性粒细胞反应强度与未成熟粒细胞的误分类。

Neutrophil Reactivity Intensity and misclassification of immature granulocytes.

机构信息

Department of Clinical Biochemistry, Nordsjaellands Hospital, University of Copenhagen, Copenhagen, Denmark.

Department of Technology, Faculty of Health and Technology, University College Copenhagen, Copenhagen, Denmark.

出版信息

Int J Lab Hematol. 2024 Apr;46(2):312-321. doi: 10.1111/ijlh.14204. Epub 2023 Nov 20.

Abstract

INTRODUCTION

Immature granulocyte percentage (IG%) is an important biomarker for infection control. We observed spurious cases where the IG% was dramatically underestimated on the automated Sysmex XN-series hehmatology analyzer compared with manual differential. These cases were associated with high values of "Neutrophil Reactivity Intensity" (NEUT-RI), which should reflect the metabolic activity of the neutrophils.

METHODS

We conducted a three-stage study to evaluate whether NEUT-RI could be utilized to screen for misclassified IG% results defined as the manual differential estimating a 10 percentage points higher IG% compared with the automated Sysmex differential. First, 124 patient samples were selected for 800-cell manual smear analysis based on their NEUT-RI values and compared with the automatic Sysmex IG% results. Next, 11 098 routine 110-cell manual smear analyses were compared with the corresponding Sysmex IG% results. Finally, during a 19-day period 160 additional patient samples underwent smear based on NEUT-RI values ≥56 fluorescence intensity (FI) to screen for misclassified results beyond our current smear practice.

RESULTS

NEUT-RI ≥56 predicted IG% misclassification with 91% sensitivity and 88% specificity, but primarily when the internal Sysmex flag "Abnormal WBC Scattergram" was present. 90.1% of misclassified results were identified by this flag. Beyond our existing smear rules including this flag, NEUT-RI ≥56 FI had a positive predictive value below 1%.

CONCLUSION

Both NEUT-RI and the internal Sysmex flag "Abnormal WBC Scattergram" work well to identify cases of IG% misclassification. However, in our setting NEUT-RI ≥56 FI had no meaningful additional predictive capacity to identify misclassifications beyond our current smear rules.

摘要

简介

不成熟粒细胞百分比(IG%)是感染控制的重要生物标志物。我们观察到一些虚假病例,与手动差异相比,自动化 Sysmex XN 系列血液分析仪大大低估了 IG%。这些病例与“中性粒细胞反应强度”(NEUT-RI)的高值有关,该值应反映中性粒细胞的代谢活性。

方法

我们进行了一项三阶段研究,以评估 NEUT-RI 是否可用于筛选分类错误的 IG%结果,这些结果定义为手动差异估计比自动 Sysmex 差异高 10 个百分点的 IG%。首先,根据 NEUT-RI 值选择 124 例患者样本进行 800 细胞手动涂片分析,并与自动 Sysmex IG%结果进行比较。接下来,将 11098 例常规 110 细胞手动涂片分析与相应的 Sysmex IG%结果进行比较。最后,在 19 天的时间内,根据 NEUT-RI 值≥56 荧光强度(FI)对 160 例额外患者样本进行涂片,以筛选超出我们当前涂片实践的分类错误结果。

结果

NEUT-RI≥56 预测 IG%分类错误的敏感性为 91%,特异性为 88%,但主要是在内部 Sysmex 标志“异常白细胞散射图”存在的情况下。90.1%的分类错误结果由该标志识别。超出我们现有的涂片规则,包括该标志,NEUT-RI≥56 FI 的阳性预测值低于 1%。

结论

NEUT-RI 和内部 Sysmex 标志“异常白细胞散射图”都能很好地识别 IG%分类错误的病例。然而,在我们的环境中,NEUT-RI≥56 FI 除了我们现有的涂片规则之外,对识别分类错误没有有意义的额外预测能力。

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