Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK; Directorate of Laboratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Sheffield Biomedical Research Centre, University of Sheffield, Sheffield, UK; Sheffield Bioinformatics Core, University of Sheffield, Sheffield, UK.
J Hosp Infect. 2023 Jan;131:34-42. doi: 10.1016/j.jhin.2022.09.022. Epub 2022 Oct 10.
Barriers to rapid return of sequencing results can affect the utility of sequence data for infection prevention and control decisions.
To undertake a mixed-methods analysis to identify challenges that sites faced in achieving a rapid turnaround time (TAT) in the COVID-19 Genomics UK Hospital-Onset COVID-19 Infection (COG-UK HOCI) study.
For the quantitative analysis, timepoints relating to different stages of the sequencing process were extracted from both the COG-UK HOCI study dataset and surveys of study sites. Qualitative data relating to the barriers and facilitators to achieving rapid TATs were included from thematic analysis.
The overall TAT, from sample collection to receipt of sequence report by infection control teams, varied between sites (median 5.1 days, range 3.0-29.0 days). Most variation was seen between reporting of a positive COVID-19 polymerase chain reaction (PCR) result to sequence report generation (median 4.0 days, range 2.3-27.0 days). On deeper analysis, most of this variability was accounted for by differences in the delay between the COVID-19 PCR result and arrival of the sample at the sequencing laboratory (median 20.8 h, range 16.0-88.7 h). Qualitative analyses suggest that closer proximity of sequencing laboratories to diagnostic laboratories, increased staff flexibility and regular transport times facilitated a shorter TAT.
Integration of pathogen sequencing into diagnostic laboratories may help to improve sequencing TAT to allow sequence data to be of tangible value to infection control practice. Adding a quality control step upstream to increase capacity further down the workflow may also optimize TAT if lower quality samples are removed at an earlier stage.
测序结果快速返回的障碍可能会影响序列数据在感染预防和控制决策中的应用。
采用混合方法分析,确定在 COVID-19 英国基因组学医院发病 COVID-19 感染(COG-UK HOCI)研究中,各研究点实现快速周转时间(TAT)所面临的挑战。
在定量分析中,从 COG-UK HOCI 研究数据集和研究点调查中提取了与测序过程不同阶段相关的时间点。从主题分析中纳入了与实现快速 TAT 的障碍和促进因素相关的定性数据。
从样本采集到感染控制团队收到序列报告的总 TAT 在各研究点之间存在差异(中位数为 5.1 天,范围为 3.0-29.0 天)。大多数差异是在报告阳性 COVID-19 聚合酶链反应(PCR)结果到生成序列报告之间(中位数为 4.0 天,范围为 2.3-27.0 天)。进一步深入分析发现,这种可变性的大部分是由于 COVID-19 PCR 结果和样本到达测序实验室之间的延迟差异造成的(中位数为 20.8 小时,范围为 16.0-88.7 小时)。定性分析表明,测序实验室与诊断实验室的距离更近、员工灵活性更高、定期运输时间有助于缩短 TAT。
将病原体测序整合到诊断实验室中可能有助于提高测序 TAT,使序列数据对感染控制实践具有实际价值。如果在早期阶段去除低质量样本,则在上游增加质量控制步骤以进一步增加工作流程下游的容量,也可能优化 TAT。