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Utility of post-admission SARS-CoV-2 serial testing in hospitalized patients with cancer

Published online by Cambridge University Press:  03 December 2024

Shauna UsiakOpen the ORCID record for Shauna Usiak[Opens in a new window],
Anoshe Aslam,
Judy YanOpen the ORCID record for Judy Yan[Opens in a new window],
Jerin Madhavappallil,
Marissa BokhariOpen the ORCID record for Marissa Bokhari[Opens in a new window],
Tiffany Romero,
Tania N. BubbOpen the ORCID record for Tania N. Bubb[Opens in a new window],
Rich KodamaOpen the ORCID record for Rich Kodama[Opens in a new window],
Esther BabadyOpen the ORCID record for Esther Babady[Opens in a new window] and
Mini KambojOpen the ORCID record for Mini Kamboj[Opens in a new window]
Shauna Usiak*
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Anoshe Aslam
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Judy Yan
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Jerin Madhavappallil
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Marissa Bokhari
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Tiffany Romero
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Tania N. Bubb
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Rich Kodama
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USAInfectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Esther Babady
Affiliation:
Clinical Microbiology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Mini Kamboj
Affiliation:
Infection Control, Memorial Sloan Kettering Cancer Center, New York, NY, USAInfectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USADepartment of Medicine, Joan and Sanford Weill Medical College of Cornell University, New York, NY, USA
*
Corresponding author: Shauna Usiak; Email: usiaks@mskcc.org
Rights & Permissions [Opens in a new window]

Abstract

Background:

SARS-CoV-2 asymptomatic surveillance testing (AST) is a common strategy to minimize the risk of nosocomial infection in patients and healthcare personnel. In contrast to admission screening, post-admission AST was less widely adopted.

Objective:

This study describes the diagnostic yield of post-admission serial SARS-COV-2 testing in hospitalized patients at a large cancer center with mostly double-occupancy rooms.

Design:

Retrospective cohort study design. Post-admission SARS-CoV-2 tests were examined over a 18 month study period. Positive results were reviewed to determine true hospital-onset infections using a combination criteria of screening all sample cycle threshold (Ct) values >30, results of non-concordant repeat testing, and clinical symptoms.

Results:

Post-admission serial testing of 15,048 hospitalized patients during an 18-month study period at a tertiary care cancer center detected hospital-onset infection in 1.6% (n = 245 patients). Among all hospital-onset positive SARS-CoV-2 RNA tests, 13% were clinically false positive. Most true infections were mild to moderate in severity.

Conclusions:

In summary, post-admission serial testing in a high-risk setting is a low-yield strategy with several unfavorable effects and should no longer be routinely applied.

Information

Type
Original Article
Information
Infection Control & Hospital Epidemiology , Volume 46 , Issue 1 , January 2025, pp. 90 - 92
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Copyright
© Memorial Sloan Kettering Cancer Center, 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Introduction

SARS-CoV-2 asymptomatic surveillance testing (AST) is a common strategy to minimize the risk of nosocomial infection in patients and healthcare personnel by identifying infected individuals who are either asymptomatic or pre-symptomatic at hospital admission. Reference Arnold, Bishop, Oppy, Scott and Stevenson1,Reference Rhee, Klompas, Pak and Kohler2 In addition, some hospitals with immunocompromised patients or high shared-occupancy rooms also implemented serial testing to detect occult community infections missed at the time of admission. Reference Rhee, Baker and Klompas3

In contrast to admission screening, post-admission AST was less widely adopted and frequently part of a bundled approach, among other precautions such as admission screening, rostered employee testing, visitor restrictions, and masking. Recently published single institution studies and national UK (United Kingdom) data have critically evaluated the utility of admission screening and yielded mixed results on its impact on nosocomial transmission. Reference Brust, Kobayashi and Diekema4–Reference Hatfield, Baggs and Maillis6 However, the practice utility of serial testing is yet to be analyzed in a non-outbreak setting. This study describes the diagnostic yield of post-admission serial SARS-COV-2 testing in hospitalized patients at a large cancer center with mostly double-occupancy rooms. The study period encompasses periods of high- and low-community SARS-CoV-2 Omicron prevalence.

Methods

The study was conducted between October 2021 and April 2023 at Memorial Sloan Kettering Cancer Center (MSKCC), a 514-bed tertiary care cancer center with two bone marrow transplant (BMT) units with a combined 50 beds. In 2022, 23,751 patients were admitted to the study institution with 170,075 inpatient days and an average length of stay (LOS) of 7.2 days. Additionally in 2022, 507 hematopoietic stem cell transplant (HCT) and 173 chimeric antigen receptor T-cell (CAR-T) treatments were performed at MSKCC. In total, 57% of beds at the study institution are double occupancy. Patients who are not in protective isolation after transplant or transmission-based precautions are eligible to be roomed in with another patient.

SARS-CoV-2 reverse transcription polymerase chain reaction testing of asymptomatic hospitalized patients

Since April 2020, all hospital admitted patients were tested for SARS-CoV-2. Those with an initial negative test were routinely retested every 3 days throughout their hospital stay. This testing was performed on nasopharyngeal swabs. Patients with a known history of COVID-19 within the preceding 120 days of admission were excluded from testing based on electronic medical record-based logic that was anchored either on a positive test done at the study institution or an electronic record of a self-reported infection. Clinical false positives were adjudicated by an independent review conducted by an infection preventionist and a hospital epidemiologist based on one or more of the following criteria (1) screening tests with initial sample cycle threshold (Ct) values >30, (2) results of non-concordant repeat testing, and (3) lack of clinically compatible history and symptoms. Only the first threshold cycle was used to graphically depict the differences between true and false clinical positives.

Exposed roommates of a positive case were placed on droplet precautions until 14 days from the last exposure. To calculate the number of infections prevented by this approach, we multiplied the lowest number of roommates of index cases with the observed secondary attack rate.

All healthcare personnel and visitors followed universal masking in all clinical locations throughout the study period. Patients who test COVID-19 positive are placed in airborne contact precautions. Cohorting of positive patients is not done at the study institution.

Laboratory methods

SARS-CoV-2 RNA was detected using two commercially available EUA tests, the TaqPath COVID-19 Combo Kit (Thermo Fisher Scientific) and the Roche Cobas SARS-CoV-2 test. The TaqPath test targets the N, S, and ORF genes. The Cobas test targets the E and the ORF a/b gene. Samples were reported as positive, negative, or presumptive per manufacturers’ instructions. Reference Babady, McMillen and Jani7,Reference McMillen, Jani, Robilotti, Kamboj and Babady8 The Ct value for each positive sample was retrieved from the instrument record. Ct values by groups are reported as means with standard deviation. Means between groups were compared using a two-tailed t-test.

MSKCC’s Institutional Review Board reviewed the study and granted a Health Insurance Portability and Accountability Act waiver of authorization.

Results

During the 18-month study period from October 1, 2021, to April 30, 2023, 56,338 post-admission surveillance tests from 15,048 hospitalized patients detected 282 new infections. Of these 282 new infections, 37 (13%) were deemed to be clinical false positives per criteria defined in the methods section. The overall yield on post-admission tests was 1.6%. The frequency distribution of positive surveillance tests correlated with SARS-CoV-2 community incidence and was highest during the winter months in both study years. The number of hospital-onset infections by month and the time to the first positive test from admission is shown in Figure 1. Only 14% of patients were symptomatic with COVID-19 at the time of first detection. For the clinical false positive test results, Ct values are shown in Figure 2.

Figure 1.

Heat map showing the frequency of hospital-onset SARS-CoV-2 cases by month throughout the study period (October 2021–April 2023).

Figure 2.

Polymerase chain reaction cycle threshold (Ct) value for clinically confirmed hospital-onset infections: true positive (True +) and false positive (False +) cases.

Hospital-onset infections in patients housed in shared rooms led to 201 roommate exposures (median exposed per index: 1, range 1–4), and 46 (22.8%) among these developed a secondary infection. The secondary cases ranged in severity: 14 (30%) were asymptomatic (never developing symptoms), 25 (54%) were mildly symptomatic without any supplemental oxygen requirement, and 7 (15%) were moderately ill with low oxygen requirement via nasal cannula for at least 24 hours with or without lower tract involvement on chest imaging. Notably, none of the secondary infections were severe (ie, requiring high flow nasal cannula), or critically ill (ie, requiring intubation due to respiratory failure). Based on the observed secondary attack rate of 22.8%, early identification and quarantine of the 46 exposed roommates who subsequently developed COVID-19 is estimated to have prevented 10 additional cases of COVID-19.

Discussion

Our study on serial SARS-CoV-2 testing of hospitalized patients in a high-risk environment showed low overall yield (1.6%) with clustering towards the early part of the hospital stay and general low detection of nosocomial infections. Among all SARS-CoV-2 lab detections on AST, 13% were clinically false positives. Although we saw high secondary infection rates from unrecognized cases, the resulting condition was mild to moderate throughout the study, with no intensive care unit admissions or deaths. Taken together, the findings from the present study demonstrate the low utility of post-admission AST in high-risk environments from both a transmission and outcome standpoint. However, with the consistently high secondary transmission rates after in-room exposure, we believe that targeted AST in the event of exposure to a newly infected person is a reasonable step to break chains of transmission in shared environments. Additionally, there is value in the AST of patients and healthcare personnel for case finding during an outbreak. Reference Prabhu, Firestone and Bergman9 Our study demonstrates the potential downsides of broad testing with the frequent occurrence of clinical false positive results, which in an oncology setting, often leads to delays in essential treatments and transplants, cause undue patient stress, and increased costs. Reference Uno, Goto and Honda10

Our study has several limitations. First, we may have underestimated hospital-acquired infections that manifested after discharge. Second, the study findings should be interpreted in the context of facility layout, the proportion of shared rooms, community risks, local masking practices, and high-risk populations. Finally, our study focuses exclusively on the utility of post-admission testing in a high-risk setting—a less widely adopted practice than admission screening only. Despite this, our study provides valuable evidence to support de-escalation of testing in similar settings with high-risk patients in a shared environment or in hospitals that decide to maintain AST practices in their oncology units. Furthermore, it can be considered for future planning and preparedness for a shift in SARS-CoV-2 epidemiology or other threats.

In summary, post-admission serial testing in a high-risk setting for early detection of COVID-19 cases is a low-yield strategy that has rendered minimal clinical benefit in the Omicron era and poses substantial challenges with several unfavorable effects. Serial testing should no longer be routinely applied in high-risk settings, shared-occupancy hospital environments, or during high SARS-CoV-2 community transmission.

Acknowledgments

The authors wish to thank all the healthcare workers within Memorial Sloan Kettering Cancer Center for their collective effort against the COVID-19 pandemic.

Funding statement

P30. This research was supported by the Memorial Sloan Kettering Cancer Center core grant (grant no. P30 CA008748)

Competing interests

M.K. has acted as a consultant for Regeneron and has received speaker fees for WebMD/Medscape and MJH Life Sciences.

References

Arnold, FW, Bishop, S, Oppy, L, Scott, L, Stevenson, G. Surveillance testing reveals a significant proportion of hospitalized patients with SARS-CoV-2 are asymptomatic. Am J Infect Control 2021;49:281–285. doi: 10.1016/j.ajic.2021.01.005.CrossRefGoogle ScholarPubMed
Rhee, C, Klompas, M, Pak, TR, Kohler, JR. In support of universal admission testing for SARS-CoV-2 during significant community transmission. Clin Infect Dis 2024;78:439–444. doi: 10.1093/cid/ciad424.CrossRefGoogle ScholarPubMed
Rhee, C, Baker, MA, Klompas, M. Prevention of SARS-CoV-2 and respiratory viral infections in healthcare settings: current and emerging concepts. Curr Opin Infect Dis 2022;35:353–362. doi: 10.1097/QCO.0000000000000839.CrossRefGoogle ScholarPubMed
Brust, KB, Kobayashi, T, Diekema, DJ. Asymptomatic testing of hospital admissions for SARS-CoV-2: Is it OK to stop? Clin Infect Dis 2024;78:356–360. doi: 10.1093/cid/ciad423.CrossRefGoogle Scholar
Pak, TR, Rhee, C, Wang, R, Klompas, M. Discontinuation of universal admission testing for SARS-CoV-2 and hospital-onset COVID-19 infections in England and Scotland. JAMA Intern Med 2023;183:877–880. doi: 10.1001/jamainternmed.2023.1261.CrossRefGoogle Scholar
Hatfield, KM, Baggs, J, Maillis, A, et al. Assessment of hospital-onset SARS-CoV-2 infection rates and testing practices in the US, 2020-2022. JAMA Netw Open 2023;6:e2329441. doi: 10.1001/jamanetworkopen.2023.29441.CrossRefGoogle ScholarPubMed
Babady, NE, McMillen, T, Jani, K, et al. Performance of severe acute respiratory syndrome coronavirus 2 real-time RT-PCR tests on oral rinses and saliva samples. J Mol Diagn 2021;23:3–9. doi: 10.1016/j.jmoldx.2020.10.018.CrossRefGoogle ScholarPubMed
8. McMillen, T, Jani, K, Robilotti, EV, Kamboj, M, Babady, NE. The spike gene target failure (SGTF) genomic signature is highly accurate for the identification of Alpha and Omicron SARS-CoV-2 variants. Sci Rep 2022;12:18968. doi: 10.1038/s41598-022-21564-y.CrossRefGoogle ScholarPubMed
Prabhu, RM, Firestone, MJ, Bergman, KL, et al. Use of serial testing to interrupt a severe acute respiratory coronavirus virus 2 (SARS-CoV-2) outbreak on a hospital medical floor-Minnesota, October-December 2020. Infect Control Hosp Epidemiol 2023;44:427–432. doi: 10.1017/ice.2022.40.CrossRefGoogle ScholarPubMed
Uno, S, Goto, R, Honda, K, et al. Cost-effectiveness of universal asymptomatic preoperative SARS-CoV-2 polymerase chain reaction screening: A cost-utility analysis. Clin Infect Dis 2024; 78:57–64. doi: 10.1093/cid/ciad463.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1.Heat map showing the frequency of hospital-onset SARS-CoV-2 cases by month throughout the study period (October 2021–April 2023).

Figure 1

Figure 2.Polymerase chain reaction cycle threshold (Ct) value for clinically confirmed hospital-onset infections: true positive (True +) and false positive (False +) cases.