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Comparison of Abbott ID Now and Abbott m2000 Methods for the Detection of SARS-CoV-2 from Nasopharyngeal and Nasal Swabs from Symptomatic Patients

机译:Abbott ID的比较和Abbott M2000从症状患者中检测SARS-COV-2检测SARS-COV-2的方法

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LETTER The ID Now COVID-19 (IDNCOV) assay performed on the ID Now instrument (Abbott Diagnostics, Inc., Scarborough, ME) is a rapid diagnostic test that can be performed in a point-of-care setting equivalent to Clinical Laboratory Improvement Amendments (CLIA)-waived testing. The assay utilizes isothermal amplification and can reportedly deliver results in approximately 5 to 13 min. As this assay could provide significant improvements to workflow in our hospital system, we sought to compare the performance of this test with our current coronavirus disease 2019 (COVID-19) assay, the Abbott RealTime SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) (ACOV) assay performed on the Abbott m2000 system (Abbott Molecular Inc., Des Plaines, IL). We compared the results from 524 paired foam nasal swabs (NS) tested on IDNCOV with nasopharyngeal swabs (NPS) placed in viral transport media tested on ACOV collected consecutively from symptomatic patients meeting current criteria for a diagnosis of COVID-19 ( 1 ). Five locations were included in the evaluation including three emergency departments (ED) and two immediate care centers (IMCC). IMCC A and ED 2 were experienced users of the IDNow platform. The other sites were new users of the platform and received training specifically for the IDNCOV. All ACOV testing was performed by one central clinical laboratory, and all NPS were heat inactivated for 30 min at 60°C prior to testing. NS were tested directly on the IDNCOV from IMCCs, and the tests were performed on-site. NS from the EDs were transported to the clinical microbiology laboratory in sterile transport containers (urine cups or conical tubes) and tested by laboratory personnel at each separate location. Statistical analysis was performed using SPSS v.26. The overall positivity rate in this sample collection was 35%, ranging from 22% to 60% among the five sites. Overall agreement was 75% positive agreement (95% confidence interval [95% CI], 67.74%, 80.67%) and 99% negative agreement (95% CI, 97.64%, 99.89%) between IDNCOV and ACOV for all specimens tested. Agreement at individual sites varied ( Table 1 ). Two subjects tested positive on IDNCOV that were initially negative on ACOV. In case one, a repeat sample was positive on ACOV (repeat IDNCOV was not performed), and the case was resolved as a true positive result. For case two, all repeat testing (both IDNCOV and ACOV) was negative and was resolved as a likely false-positive result. This sample was collected during the first day of testing and could have been operator error. TABLE 1 Agreement between ACOV and IDNCOV Site Total no. of samples tested No. of samples with the following result ~( a ) : % Positivity Positive agreement (95% CI) Negative agreement (95% CI) Performance agreement (kappa) (95% CI) A+/IND+ A+/IND? A?/IND+ A?/IND? IMCC A 208 33 13 1 161 22 71.74 (56.32, 83.54) 99.38 (96.09, 99.97) 0.783 (0.779, 0.788) IMCC B 125 39 17 0 69 44 69.64 (55.74, 80.84) 100.0 (93.43, 100.0) 0.711 (0.706, 0.717) ED 1 105 26 11 0 68 35 70.27 (52.83, 83.56) 100.0 (93.33, 100.0) 0.751 (0.744, 0.757) ED 2 31 12 3 0 16 50 80.0 (51.37, 94.69) 100 (75.92, 100.0) 0.803 (0.792, 0.814) ED 3 55 29 3 1 22 60 90.63 (73.83, 97.55) 95.65 (76.03, 99.77) 0.852 (0.844, 0.861) Total 524 139 47 2 336 35 74.73 (67.74, 80.67) 99.41 (97.64, 99.89) a Positive (+) and negative (?) results by ACOV (A) and IDNCOV (IND) are shown. Fleiss kappa analysis comparing the performance at each of the sites demonstrated that strength of agreement between the sites ( Table 1 ) was rated as good to very good with comparable standard errors. We interpret this to mean that a site’s ability to run the test (or lack of experience) did not necessarily contribute to the variability in positivity that was found in this evaluation. Compared to the ACOV cycle numbers (CN) (which are similar but not directly comparable to cycle thresholds from other reverse transcription-PCR [RT-PCR] assays due to the unique ACOV assay design), a significant proportion, but not all, discordant samples exhibited at higher cycle numbers ( Fig. 1 ). The mean CN for concordant positive samples was 12.71 (95% CI, 11.76, 13.67), ranging from 2.99 to 31.01, with a standard deviation of 5.5. The mean CN for discordant samples (ACOV positive [ACOV+]/IDNCOV negative [IDNCOV?]) was 21.07 (95% CI, 19.55, 22.60), ranging from 6.79 to 30.63, with a standard deviation of 5.1. These differences are statistically different ( P ?=?6.75e?16). The stated limit of detection in the published instructions for use is 100 copies/ml for ACOV ( 2 ) and approximately 3,225 copies/ml when calculated based on the published genomes/reaction for IDNCOV ( 3 ). Based on the distribution of cycle numbers seen in Fig. 1 and performance agreement among the sites, negative results on IDNCOV are likely related to both a higher limit of detection on IDNCOV and preanalytical sampling error. FIG 1 Boxplot of cycle numbers of concordant and discordant paired re
机译:信封ID Covid-19(IDNCOV)关于ID现在的仪器(Abbott Diagnostics,Inc.,Scarborough,ME)的COVID-19(IDNCOV)测定是一种快速诊断测试,可以在相当于临床实验室改善的临床环境中进行的快速诊断测试修正案(CLIA)-WAIVED测试。该测定采用等温扩增,据报道,可以在大约5至13分钟内递送结果。由于该试验可以对我国医院系统的工作流程提供重大改进,我们试图通过我们目前的Coronavirus疾病2019(Covid-19)测定,雅培Realtime SARS-COV-2(严重急性呼吸综合征冠状病毒(Coronavirus)进行比较这项测试的表现2)(ACOV)在ABBOTT M2000系统上进行的测定(Abbott Molecular Inc.,Des Plaines,IL)。将在Idncov上测试的524个成对的泡沫鼻拭子(NS)的结果与鼻咽拭子(NPS)进行比较,所述鼻咽拭子(NPS)置于患有症状患者的症状患者在符合COVID-19(1)诊断的症状性标准的症状患者上进行的症状患者进行。评估中包含五个地点,包括三个急诊部门(ED)和两个直接护理中心(IMCC)。 IMCC A和ED 2是IDNow平台的用户的经验丰富的用户。其他网站是平台的新用户,并专门为Idncov接收培训。所有ACOV测试都是由一个中央临床实验室进行的,并且在测试之前,所有NPS在60℃下灭活30分钟。 NS直接从IMCC上的IDNCOV测试,并在现场进行测试。来自EDS的NS被运输到无菌运输容器(尿杯或锥形管)中的临床微生物实验室,并由实验室人员在每个单独的位置测试。使用SPSS V.26进行统计分析。该样品收集中的整体阳性率为35%,范围为五个地点的22%至60%。整体协议是75%的正面协议(95%置信区间[95%CI],67.74%,80.67%)和99%的抗Idncov和Acov之间的负面协议(95%CI,97.64%,99.89%,用于所有试样的所有试样。各个地点的协议各种各样的达成者(表1)。两个受试者在Idncov上测试阳性,其最初是阴性的Acov。在一个情况下,在ACOV上对重复样品阳性(不进行重复IDNCOV),并且该病例被解析为真正的阳性结果。对于案例两种情况,所有重复测试(IDNCOV和ACOV)都是负的,并且解决了可能是可能的假阳性结果。在测试的第一天收集该样品,并且可以是操作员错误。表1 ACOV和IDNCOV网站之间的协议总数为NO。样品的样品检测到的样品数量〜(a):%积极阳性协议(95%CI)负协议(95%CI)绩效协议(κ)(95%CI)A + / IND + A + / IND? a?/ ind + a?in / den? IMCC A 208 33 1311271.74(56.32,83.54)99.38(96.09,99.97)0.783(0.779,0.788)IMCC B 125 39 17 0 69 44 69.64(55.74,80.84)100.0(93.43,100.0)0.711(0.706, 0.717)ED 1 105 26 11 0 68 35 70.27(52.83,83.56)100.0(93.33,100.0)0.751(0.744,0.757)ED 2 31 12 3 0 16 50 80.0(51.37,94.69)100(75.92,100.0)0.803( 0.792,0.814)ED 3 55 29 3 11 2 60 90.63(73.83,97.55)95.65(76.03,99.77)0.852(0.844,0.861)总计524 139 47 2 336 35 74.73(67.74,80.67)99.41(97.64,99.89)a显示ACOV(A)和IDNCOV(IND)的正(+)和负(Δ)结果。 Fleiss Kappa分析比较每个网站的性能的比较表明,网站之间的协议强度(表1)与可比标准误差相比非常好。我们解释这是表示现场运行测试的能力(或缺乏经验)并不一定有助于该评估中发现的阳性的变异性。与ACOV循环编号(CN)相比(类似但与来自其他逆转录-PCR [RT-PCR的循环阈值相似而不是来自其他逆转录-PCR [RT-PCR]测定,其占独特的ACOV测定设计),但并非所有的,不和谐在较高循环编号处呈现的样品(图1)。阳性样品的平均CN为12.71(95%CI,11.76,13.67),范围为2.99至31.01,标准偏差为5.5。不调变样品的平均CN(ACOV阳性[ACOV +] / IDNCOV阴性[IDNCOVγ])为21.07(95%CI,19.55,22.60),范围为6.79至30.63,标准偏差为5.1。这些差异是统计学上的(p?=?6.75e?16)。使用的公布说明书中的检测极限为ACOV(2)的100拷贝/ mL,基于对IDNCOV(3)的公布基因组/反应计算时,约3,225份/ mL。基于图1中所示的循环编号的分布。图1和网站之间的性能协议,IDNCOV上的负面结果可能与IDNCOV和Preanalytical采样误差的较高的检测限。图1循环数量和不和谐配对的Boxplot

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