Literature DB >> 32389155

Utility of retesting for diagnosis of SARS-CoV-2/COVID-19 in hospitalized patients: Impact of the interval between tests.

Michelle E Doll1, Rachel Pryor1, Dorothy Mackey1, Christopher D Doern1, Alexandra Bryson1, Pamela Bailey1, Kaila Cooper1, Emily Godbout1, Michael P Stevens1, Gonzalo Bearman1.   

Abstract

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Year:  2020        PMID: 32389155      PMCID: PMC7239773          DOI: 10.1017/ice.2020.224

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


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Molecular testing of nasopharyngeal specimens for SARS-CoV-2 are highly specific and sensitive.[1,2] However, SARS-CoV-2 viral shedding within the respiratory specimens of individual patients may not be dependable or consistent throughout the course of illness.[2-5] The range of clinical presentations of COVID-19 present a diagnostic dilemma; reports of false positives[6] add to uncertainty. Retesting of patients is increasingly requested in the setting of ongoing concern for COVID-19 after an initial negative test. Which patients should be prioritized for retesting and at what time interval are currently unclear.

Methods

All patients admitted to a tertiary medical center with clinical concern for COVID-19 were referred to a team of infectious disease physicians for case review and testing approval. Retesting requests were largely driven by primary team concerns for false-negative initial test results. To avoid patients going off and back on isolation, an early interval retesting protocol was developed in which patients were held on isolation and retested 24 hours after the first result if they were categorized with high probability for COVID-19. Infectious disease physicians designated each patient with high or low probability based on the following clinical criteria consistent with reported literature[7]: (1) exposure to SARS-CoV-2; (2) symptoms of COVID-19, including hypoxia, respiratory or gastrointestinal symptoms, or fever; (3) leukopenia; (4) chest imaging; (5) lack of other explanatory diagnosis. Patients labeled with high probability who tested negative were held on isolation another 24 hours for retesting. Longer-interval retesting outside this protocol continued concurrently; providers could request retesting any time during the hospitalization. If approval was granted, these patients were reisolated for possible COVID-19 pending the repeat testing. Nasopharyngeal specimens were collected by nurses who had received online training in specimen collection. On March 26, 2020, a patient tested negative on admission to our institution, but subsequently a previously collected outpatient test was positive. The resulting concerns about proper specimen collection were addressed by requiring nurses to do in-person retraining in a “train-the-trainer” model. Testing was performed using an in-house RT-PCR test developed from the Centers for Disease Control and Prevention (CDC) primers.

Results

Overall, 70 inpatients with initially negative SARS-CoV-2 testing underwent repeat testing for ongoing clinical concerns between March 2 and April 4, 2020. One patient converted to a positive test; the interval between tests for this individual was 6 days. All other patients remained negative on repeat testing. Early interval retesting of patients with a high pretest probability for SARS-CoV-2 as part of a formal protocol was performed from March 31, 2020, through April 7, 2020. During this period, 38 patients were deemed “high probability” by infectious diseases physicians using the standard criteria. Of the 38 patients with high pretest probability for COVID-19, 19 tested positive and 19 tested negative. The 19 “high probability” but negative RT-PCR patients were then re-tested within 24 hours and all remained negative. This protocol was abandoned after April 7, 2020, given a lack of observed clinical utility. Overall, repeat testing was performed within 24 hours for 28 of 70 patients with no discordant results observed. Intervals between testing and result outcomes are shown in Figure 1. The patient who tested positive 6 days after a negative result was deemed “low probability” when re-evaluated for that repeat test.
Fig. 1.

Timing of repeat testing and result change. Initially negative results were repeated for 70 patients. Concordant tests indicate patient remained negative on the second test. One patient had discordant results on repeat testing, becoming positive for SARS-CoV-2. All tests were performed using reverse-transcriptase polymerase chain reaction (RT-PCR) testing on nasopharyngeal swab upper respiratory specimens.

Timing of repeat testing and result change. Initially negative results were repeated for 70 patients. Concordant tests indicate patient remained negative on the second test. One patient had discordant results on repeat testing, becoming positive for SARS-CoV-2. All tests were performed using reverse-transcriptase polymerase chain reaction (RT-PCR) testing on nasopharyngeal swab upper respiratory specimens.

Discussion

Decisions to isolate and test inpatients for COVID-19 are balanced between concerns for overtesting or overuse of scarce PPE and undertesting with cross-transmission risks. Provider distrust of test results further complicates testing considerations. Reports of serial patient testing indicate that the quantity of virus is highest in the first week after symptom onset, with a potential to decrease as patients recover.[3,4] However, cases of high probability symptomatic patients with false-negative testing early in the course of illness have been reported.[5,6] For example, Xu et al[5] reported 3 patients presenting with respiratory illness in the setting of known exposures to SARS-CoV-2 who initially tested negative. Interval computed tomography (CT) scans over the next 1–2 days revealed findings concerning for viral pneumonia. Patients were retested, and the results were positive at an interval of 1–3 days.[6] In a larger cohort, 258 patients were retested, and 15 converted from initially negative to positive results.[5] The mean interval between these tests was 5.1 days (SD, 1.5 days; range, 4–8 days).[5] Differences in testing platforms and specimen types should be taken into consideration; the CDC recommends nasopharyngeal samples as the preferred specimen type.[8] Experience with repeat testing using samples obtained by nasopharyngeal sampling is lacking at present. Our data suggest that short-interval testing is low yield. Assuming that specimen collection is appropriate, the presence or absence of virus in the nasopharynx or other sites is not expected to change dramatically within 24 hours. Our patient with discordant results in the course of symptomatic illness had testing performed at an interval of 6 days, suggesting that changes in viral shedding may have occurred over that time period. Overall, our experience inspires confidence in the accuracy of the test. However, false negatives can occur for a variety of reasons. A better understanding of host factors associated with false negatives and/or decreased viral shedding while symptomatic is urgently needed to inform testing, retesting, and patient isolation protocols. Testing strategies incorporating samples from multiple sites, or other combinations of multiple test types,[9] may become standard practice as validation continues. In the meantime, COVID-19 diagnostic uncertainty remains problematic for infection control and occupational health efforts.
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1.  Virological assessment of hospitalized patients with COVID-2019.

Authors:  Roman Wölfel; Victor M Corman; Wolfgang Guggemos; Michael Seilmaier; Sabine Zange; Marcel A Müller; Daniela Niemeyer; Terry C Jones; Patrick Vollmar; Camilla Rothe; Michael Hoelscher; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Rosina Ehmann; Katrin Zwirglmaier; Christian Drosten; Clemens Wendtner
Journal:  Nature       Date:  2020-04-01       Impact factor: 49.962

2.  Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

Authors:  Tao Ai; Zhenlu Yang; Hongyan Hou; Chenao Zhan; Chong Chen; Wenzhi Lv; Qian Tao; Ziyong Sun; Liming Xia
Journal:  Radiology       Date:  2020-02-26       Impact factor: 11.105

3.  Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study.

Authors:  Kelvin Kai-Wang To; Owen Tak-Yin Tsang; Wai-Shing Leung; Anthony Raymond Tam; Tak-Chiu Wu; David Christopher Lung; Cyril Chik-Yan Yip; Jian-Piao Cai; Jacky Man-Chun Chan; Thomas Shiu-Hong Chik; Daphne Pui-Ling Lau; Chris Yau-Chung Choi; Lin-Lei Chen; Wan-Mui Chan; Kwok-Hung Chan; Jonathan Daniel Ip; Anthony Chin-Ki Ng; Rosana Wing-Shan Poon; Cui-Ting Luo; Vincent Chi-Chung Cheng; Jasper Fuk-Woo Chan; Ivan Fan-Ngai Hung; Zhiwei Chen; Honglin Chen; Kwok-Yung Yuen
Journal:  Lancet Infect Dis       Date:  2020-03-23       Impact factor: 25.071

4.  Laboratory Diagnosis of COVID-19: Current Issues and Challenges.

Authors:  Yi-Wei Tang; Jonathan E Schmitz; David H Persing; Charles W Stratton
Journal:  J Clin Microbiol       Date:  2020-05-26       Impact factor: 5.948

5.  Comparative Performance of SARS-CoV-2 Detection Assays Using Seven Different Primer-Probe Sets and One Assay Kit.

Authors:  Arun K Nalla; Amanda M Casto; Meei-Li W Huang; Garrett A Perchetti; Reigran Sampoleo; Lasata Shrestha; Yulun Wei; Haiying Zhu; Keith R Jerome; Alexander L Greninger
Journal:  J Clin Microbiol       Date:  2020-05-26       Impact factor: 5.948

6.  Profiling Early Humoral Response to Diagnose Novel Coronavirus Disease (COVID-19).

Authors:  Li Guo; Lili Ren; Siyuan Yang; Meng Xiao; Fan Yang; Charles S Dela Cruz; Yingying Wang; Chao Wu; Yan Xiao; Lulu Zhang; Lianlian Han; Shengyuan Dang; Yan Xu; Qi-Wen Yang; Sheng-Yong Xu; Hua-Dong Zhu; Ying-Chun Xu; Qi Jin; Lokesh Sharma; Linghang Wang; Jianwei Wang
Journal:  Clin Infect Dis       Date:  2020-07-28       Impact factor: 9.079

7.  Computed Tomographic Imaging of 3 Patients With Coronavirus Disease 2019 Pneumonia With Negative Virus Real-time Reverse-Transcription Polymerase Chain Reaction Test.

Authors:  Junqing Xu; Ruodai Wu; Hua Huang; Weidong Zheng; Xinling Ren; Nashan Wu; Bin Ji; Yungang Lv; Yumeng Liu; Rui Mi
Journal:  Clin Infect Dis       Date:  2020-07-28       Impact factor: 9.079

8.  Epidemiological and Clinical Predictors of COVID-19.

Authors:  Yinxiaohe Sun; Vanessa Koh; Kalisvar Marimuthu; Oon Tek Ng; Barnaby Young; Shawn Vasoo; Monica Chan; Vernon J M Lee; Partha P De; Timothy Barkham; Raymond T P Lin; Alex R Cook; Yee Sin Leo
Journal:  Clin Infect Dis       Date:  2020-07-28       Impact factor: 9.079

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1.  Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study.

Authors:  Lama Ghazi; Michael Simonov; Sherry Mansour; Dennis Moledina; Jason Greenberg; Yu Yamamoto; Aditya Biswas; F Perry Wilson
Journal:  medRxiv       Date:  2020-12-02

2.  False negative rate of COVID-19 PCR testing: a discordant testing analysis.

Authors:  Jamil N Kanji; Nathan Zelyas; Clayton MacDonald; Kanti Pabbaraju; Muhammad Naeem Khan; Abhaya Prasad; Jia Hu; Mathew Diggle; Byron M Berenger; Graham Tipples
Journal:  Virol J       Date:  2021-01-09       Impact factor: 4.099

3.  Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study.

Authors:  Lama Ghazi; Michael Simonov; Sherry G Mansour; Dennis G Moledina; Jason H Greenberg; Yu Yamamoto; Aditya Biswas; F Perry Wilson
Journal:  PLoS One       Date:  2021-05-12       Impact factor: 3.240

4.  A modified Susceptible-Infected-Recovered model for observed under-reported incidence data.

Authors:  Imelda Trejo; Nicolas W Hengartner
Journal:  PLoS One       Date:  2022-02-09       Impact factor: 3.240

5.  Effect of delay in processing and storage temperature on diagnosis of SARS-CoV-2 by RTPCR testing.

Authors:  Srikar Anagoni; Nagaraja Mudhigeti; Mohan Alladi; Verma Anju; Padmalatha Am; Usha Kalawat
Journal:  Indian J Med Microbiol       Date:  2022-04-04       Impact factor: 1.347

6.  Provision of safe patient care during the COVID-19 pandemic despite shared patient rooms in a tertiary hospital.

Authors:  Astrid Füszl; Lukas Bouvier-Azula; Miriam Van den Nest; Julia Ebner; Robert Strassl; Cornelia Gabler; Magda Diab-Elschahawi; Elisabeth Presterl
Journal:  Antimicrob Resist Infect Control       Date:  2022-04-21       Impact factor: 6.454

7.  Coronavirus Disease 2019 (COVID-19) Diagnostic Clinical Decision Support: A Pre-Post Implementation Study of CORAL (COvid Risk cALculator).

Authors:  Caitlin M Dugdale; David M Rubins; Hang Lee; Suzanne M McCluskey; Edward T Ryan; Camille N Kotton; Rocio M Hurtado; Andrea L Ciaranello; Miriam B Barshak; Dustin S McEvoy; Sandra B Nelson; Nesli Basgoz; Jacob E Lazarus; Louise C Ivers; Jennifer L Reedy; Kristen M Hysell; Jacob E Lemieux; Howard M Heller; Sayon Dutta; John S Albin; Tyler S Brown; Amy L Miller; Stephen B Calderwood; Rochelle P Walensky; Kimon C Zachary; David C Hooper; Emily P Hyle; Erica S Shenoy
Journal:  Clin Infect Dis       Date:  2021-12-16       Impact factor: 9.079

8.  Diagnostic Accuracy of a New Antigen Test for SARS-CoV-2 Detection.

Authors:  Marina Di Domenico; Alfredo De Rosa; Francesca Di Gaudio; Pietro Internicola; Cinzia Bettini; Nicola Salzano; Davide Castrianni; Andrea Marotta; Mariarosaria Boccellino
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