Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Loschgestr. 15, 91054 Erlangen, Germany.
Center of Medical Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany, Phone: +49 9131/85-33731.
Clin Chem Lab Med. 2019 Apr 24;57(5):730-739. doi: 10.1515/cclm-2018-0771.
Background Conventional establishment of reference intervals for hematological analytes is challenging due to the need to recruit healthy persons. Indirect methods address this by deriving reference intervals from clinical laboratory databases which contain large datasets of both physiological and pathological test results. Methods We used the "Reference Limit Estimator" (RLE) to establish reference intervals for common hematology analytes in adults aged 18-60 years. One hundred and ninety-five samples from 44,519 patients, measured on two different devices in a tertiary care center were analyzed. We examined the influence of patient cohorts with an increasing proportion of abnormal test results, compared sample selection strategies, explored inter-device differences, and analyzed the stability of reference intervals in simulated datasets with varying overlap of pathological and physiological test results. Results Reference intervals for hemoglobin, hematocrit, red cell count and platelet count remained stable, even if large numbers of pathological samples were included. Reference intervals for red cell indices, red cell distribution width and leukocyte count were sufficiently stable, if patient cohorts with the highest fraction of pathological samples were excluded. In simulated datasets, estimated reference limits shifted, if the pathological dataset contributed more than 15%-20% of total samples and approximated the physiological distribution. Advanced sample selection techniques did not improve the algorithm's performance. Inter-device differences were small except for red cell distribution width. Conclusions The RLE is well-suited to create reference intervals from clinical laboratory databases even in the challenging setting of a adult tertiary care center. The procedure can be used as a complement for reference interval determination where conventional approaches are limited.
背景 由于需要招募健康人群,传统的血液分析物参考区间的建立具有挑战性。间接方法通过从包含大量生理和病理测试结果的临床实验室数据库中得出参考区间来解决此问题。
方法 我们使用“参考限估计器”(RLE)为年龄在 18-60 岁的成年人建立常见血液分析物的参考区间。对来自三级护理中心的两台不同设备上测量的 44519 名患者的 195 个样本进行了分析。我们检查了患者群体中异常测试结果比例增加的影响,比较了样本选择策略,探讨了设备间的差异,并在模拟数据集(病理和生理测试结果的重叠程度不同)中分析了参考区间的稳定性。
结果 即使包含大量病理样本,血红蛋白、血细胞比容、红细胞计数和血小板计数的参考区间仍然稳定。如果排除患者群体中具有最高比例病理样本的部分,则红细胞指数、红细胞分布宽度和白细胞计数的参考区间足够稳定。在模拟数据集中,如果病理数据集贡献超过总样本的 15%-20%,并且接近生理分布,则估计的参考限值会发生偏移。先进的样本选择技术并没有提高算法的性能。除红细胞分布宽度外,设备间的差异较小。
结论 RLE 非常适合从临床实验室数据库中创建参考区间,即使在成人三级护理中心的具有挑战性的环境中也是如此。该程序可以用作常规方法有限的参考区间确定的补充。