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史斐斐, 王双, 段宁宁, 季祥熙, 杨池菊, 徐鹏, 陈西贵. 山东省济宁市新生儿遗传代谢病筛查采血机构市级质量控制结果分析[J]. 中国妇幼卫生杂志, 2023, 14(3): 46-50. DOI: 10.19757/j.cnki.issn1674-7763.2023.03.009
引用本文: 史斐斐, 王双, 段宁宁, 季祥熙, 杨池菊, 徐鹏, 陈西贵. 山东省济宁市新生儿遗传代谢病筛查采血机构市级质量控制结果分析[J]. 中国妇幼卫生杂志, 2023, 14(3): 46-50. DOI: 10.19757/j.cnki.issn1674-7763.2023.03.009
SHI Fei Fei, WANG Shuang, DUAN Ning Ning, JI Xiang Xi, YANG Chi Ju, XU Peng, CHEN Xi Gui. Analysis of municipal quality control results of neonatal genetic metabolic disease screening blood sample collecting institute in Jining, Shandong[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2023, 14(3): 46-50. DOI: 10.19757/j.cnki.issn1674-7763.2023.03.009
Citation: SHI Fei Fei, WANG Shuang, DUAN Ning Ning, JI Xiang Xi, YANG Chi Ju, XU Peng, CHEN Xi Gui. Analysis of municipal quality control results of neonatal genetic metabolic disease screening blood sample collecting institute in Jining, Shandong[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2023, 14(3): 46-50. DOI: 10.19757/j.cnki.issn1674-7763.2023.03.009

山东省济宁市新生儿遗传代谢病筛查采血机构市级质量控制结果分析

Analysis of municipal quality control results of neonatal genetic metabolic disease screening blood sample collecting institute in Jining, Shandong

  • 摘要:
    目的 探讨新生儿遗传代谢病筛查采血机构质量控制(质控)方法, 分析质控发现的问题, 以规范新生儿遗传代谢病筛查工作, 提高服务质量。
    方法 随机选择山东省济宁市1/3的采血机构, 抽取其中1家市直属采血机构和所辖3个县(市、区)13家采血机构为市级质控对象, 统计时间为2022年1 — 11月。采用听取汇报、现场查验、问卷调查等形式评估采血机构建设和服务过程、质量指标等, 并对质控考核指标进行评分。
    结果 2022年1 — 11月, 山东省济宁市14家采血机构新生儿总筛查率为96.83% ~ 100.20%, 25种遗传代谢病串联质谱筛查率为96.37% ~ 99.64%。采血机构57名采血人员资质均符合规范要求, 其中53名培训合格。所有采血机构的健康教育知晓率为100.00%, 采集的不合格血样占比为0.26% ~ 0.46%, 重要信息遗漏占比为0.06% ~ 0.14%, 检验前血片周转时间中位数为3.5 ~ 4.0 d, 血样递送及时率均为100.00%, 遗传代谢病初次筛查阳性率为3.82% ~ 6.83%, 阳性召回率为92.59% ~ 95.21%, 先天性甲状腺功能减低症、苯丙酮尿症、先天性肾上腺皮质增生症和葡萄糖-6-磷酸脱氢酶缺乏症4种疾病阳性预测值为9.09% ~ 31.52%, 串联质谱阳性预测值为3.60% ~ 8.14%, 筛查假阴性率均为0.00%。14家采血机构质控指标总评分为255 ~ 300分。采血机构存在的问题包括采集的血斑小、血样不能自然浸透滤纸正反面、反复吸取血样、新生儿重要信息遗漏、可疑阳性复查率低等。
    结论 采集合格的新生儿血样是保证遗传代谢病筛查质量的前提, 通过对采血机构的质控考核, 能够发现并及时纠正新生儿遗传代谢病筛查服务过程中存在的质量问题。

     

    Abstract:
    Objective To explore quality control(QC) methods of neonatal genetic metabolic disease screening of blood collecting institutions and analyze the problems found by QC, so as to standardize the screening of neonatal genetic metabolic diseases and improve service quality.
    Methods 1/3 of blood sample collecting institutions were randomly selected in Jining, Shandong. 1 municipal blood sample collecting institution and its affiliated 13 institutions were selected for the municipal QC. The statistical time for quality control is from January to November 2022. Briefing, on-site inspection, questionnaire survey were used to evaluate construction and service process, quality index, etc., and the QC assessment index were scored.
    Results From January to November 2022, the average screening rate of newborns in 14 blood collecting institutions was 96.83% - 100.20% in Jining City, Shangdong Province, and the tandem mass spectrometry screening rates of 25 genetic metabolic diseases were 96.37% - 99.64%. The qualifications of 57 blood collecting staff all met the standard requirements, and 53 had passed the training. The awareness rate of health education in all blood collecting institutions was 100.00%. The proportion of unqualified blood samples was 0.26% - 0.46%, the proportion of important information omission was 0.06% - 0.14%. The median delivery period of blood samples before testing was 3.5 - 4.0 days, and the timely delivery rate of blood samples was 100.00%. The positive rate of primary screening for genetic metabolic diseases was 3.82% - 6.83%, and the positive recall rate was 92.59% - 95.21%. The positive predictive value of congenital thyroid hypothyroidism, phenylketonuria, congenital adrenal hyperplasia and glucose-6-phosphate dehydrogenase deficiency was 9.09% - 31.52%, the positive predictive value of tandem mass spectrum was 3.60% - 8.14%, and the false negative rate of screening was 0.00%. The QC index score of the 14 blood collecting institutions ranged from 255 to 300 points. Problems included that the blood spots collected were too small, blood samples could not naturally soak both sides of the filter paper, blood samples absorbed repeatedly, important information of newborns omitted, and suspicious positive review rate was low.
    Conclusion The collection of qualified neonatal blood samples is the premise to ensure quality of genetic metabolic disease screening. Problems existing in the screening process of neonatal genetic metabolic diseases can be found and corrected timely through QC assessment of blood collecting institutions.

     

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