Figures
Abstract
People with immunocompromising conditions are at increased risk of SARS-CoV-2 infection and mortality, however early in the pandemic it was challenging to collate data on this heterogenous population. We conducted a registry study of immunocompromised individuals with polymerase chain reaction (PCR)-confirmed SARS-CoV-2 infection from March–October 2020 in Sydney, Australia to understand clinical and laboratory outcomes in this population prior to the emergence of the Delta variant. 27 participants were enrolled into the study including people with a haematologic oncologic conditions (n = 12), secondary immunosuppression (N = 8) and those with primary or acquired immunodeficiency (i.e. HIV; N = 7). All participants had symptomatic COVID-19 with the most common features being cough (64%), fever (52%) and headache (40%). Five patients demonstrated delayed SARS-CoV-2 clearance lasting three weeks to three months. The mortality rate in this study was 7% compared to 1.3% in the state of New South Wales Australia during the same period. This study provides data from the first eight months of the pandemic on COVID-19 outcomes in at-risk patient groups.
Citation: Dharan NJ, Sasson SC, Ahlenstiel G, Andersen CR, Bloch M, Buckland G, et al. (2023) Clinical and laboratory features of COVID-19 illness and outcomes in immunocompromised individuals during the first pandemic wave in Sydney, Australia. PLoS ONE 18(11): e0289907. https://doi.org/10.1371/journal.pone.0289907
Editor: Olatunji Matthew Kolawole, University of Ilorin, NIGERIA
Received: July 27, 2023; Accepted: October 19, 2023; Published: November 1, 2023
Copyright: © 2023 Dharan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: a) We, the authors of this manuscript, believe there are ethical restrictions on sharing our de-identified data set publicly for the following reasons: 1. The dataset contains potentially sensitive information (e.g. HIV status) 2. The number of participants is small 3. We did not obtain consent from participants (we were granted a waiver of the need for individual consent for data collection) Therefore, we would like to maintain our data as available by request. Contact information for the ethics committee is SVHS.Research@svha.org.au. We provide the following non-author point of contact for data requests: Hila Haskelberg Senior Clinical Project Coordinator Therapeutic and Vaccine Research Program +61 (0)2 9385 0900 hhaskelberg@kirby.unsw.edu.au.
Funding: We confirm that this work is not under active consideration for publication, has not been accepted for publication, nor has it been published, in full or in part. It has not had any prior interactions with PLOS. I confirm that the study has been approved by the St Vincent’s Hospital Sydney Human Research Ethics Committee, an institutional ethics committee, and was granted a waiver of the need for individual consent for data collection as per the National Statement on Ethical Conduct in Human Research. The study was registered at Clinicaltrials.gov (NCT04354818). This work was funded by an unrestricted scientific grant from Gilead Sciences. This work was funded by an unrestricted scientific grant from Gilead Sciences. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”.
Competing interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: NJD has received research support through the Gilead Australia Fellowship for an unrelated project. GVL is consultant advisor to Agenus, Amgen, Array Biopharma, Boehringer Ingelheim, Bristol Myers Squibb, Evaxion, Hexal AG (Sandoz Company), Highlight Therapeutics S.L., Innovent Biologics USA, Merck Sharpe & Dohme, Novartis, PHMR Ltd, Pierre Fabre, Provectus, Qbiotics, Regeneron, unrelated to this study. GVM has received research funding from Gilead, Abbvie, Janssen and ViiV. ADK is an advisor to Merck and Aegros unrelated to this study. All other authors have declared that no competing interests exist. This does not alter our adherence to PLOS ONE policies on sharing data and materials. We believe there are ethical restrictions on sharing our de-identified data set publicly; therefore, our data are available by request.
Introduction
Early in the COVID-19 pandemic, male sex, advanced age and certain comorbidities were identified as risk factors for death following SARS-CoV-2 infection [1–4]. Large international studies with data on immunocompromising conditions identified that patients with haematological malignancies, connective tissue disease, solid organ transplantation and those on immunosuppressive therapies for other indications were also at increased risk of death [4]. A study of 310 immunocompromised individuals with SARS-CoV-2 infection in the United Kingdom reported that, compared with the general population, mortality among hospitalised immunocompromised individuals was greater (38% vs. 26%) and immunocompromised individuals were younger at time of death [5]. In Australia, chronic immunosuppression was also identified to be associated with increased risk of death in patients in intensive care units early in the pandemic [6].
The Coronavirus Outcomes Registries in Immunocompromised Individuals Australia (CORIA) was a clinical registry study of adults with immunocompromising conditions and SARS-CoV-2 infection acquired between March–October 2020, prior to COVID-19 vaccines, specific therapies and the emergence of variants of concern (VOCs). The aim of this study was to determine the clinical and laboratory COVID-19 outcomes of adult patients with immunocompromising conditions.
Methods
The study included individuals with specified immunocompromising conditions aged 18 years or older with polymerase chain reaction (PCR)-confirmed SARS-CoV-2 infection between March 1, 2020 –October 31, 2020. Participants had been tested after developing symptoms consistent with COVID-19 and/or being identified as a close contact of a confirmed case. Participants were enrolled from nine clinical sites in Sydney, Australia: seven major teaching hospitals with high caseloads of immunocompromised individuals; one primary care centre with a high caseload of people with HIV; and one specialist melanoma centre. Eligible immunocompromising conditions included: primary immunodeficiency, defined as a predisposition to infection associated with a genetic or inherited deficit of immune function; current receipt of immunosuppressive therapy (excluding inhaled corticosteroids); HIV infection; undergoing active management for cancer diagnosed within 36 months of enrolment (excluding superficial basal cell and squamous cell carcinomas; including treatment with immune checkpoint inhibitors); and solid organ transplantation. All eligible cases from the nine enrolling sites were included.
All data were sourced from the participants’ medical record. At enrolment, the following data were collected: demographic and clinical characteristics; epidemiologic risk factors for infection; medical history; presenting clinical symptoms; clinical status; COVID-19 treatments; and clinical test results including SARS-CoV-2 and respiratory pathogen PCR testing, haematology, hepatic and renal chemistry, and inflammatory biomarkers. Follow-up data on clinical symptoms, clinical status, laboratory results and treatment history were collected on Days 3, 7, 14, 21, 28 and 3 months.
Three main groups of immunocompromising conditions were categorised as: 1) haematologic and oncologic conditions; 2) primary or acquired immunodeficiency (i.e. HIV); and 3) secondary immunosuppression (including immunosuppressive therapy and solid organ transplantation). The time to end of clinical isolation was defined as the time from initial SARS-CoV-2 positive PCR to either a negative SARS-CoV-2 PCR or resolution of all symptoms after a certain timepoint according to local guidance at the time [7]. Descriptive statistics were used to calculate the proportions of participants with various clinical and laboratory characteristics at presentation and follow up, overall and across immunocompromising conditions group.
The study was reviewed and approved by the St Vincent’s Hospital Human Research Ethics Committee and granted a waiver of the need for individual consent for data collection as per the National Statement on Ethical Conduct in Human Research (2020/ETH00714). The study was registered at Clinicaltrials.gov (NCT04354818).
Results
Of the 27 participants enrolled, 58% were male and the median age was 66 years. Twelve (44%) of the participants had haematologic (n = 7) or oncologic conditions (n = 5), 8 (30%) had secondary immunosuppression and 7 (26%) had primary or acquired immunodeficiency (i.e. HIV), as shown in Table 1 (further detail in S1 Table). Of the total cohort with available data, 41% had a history of hypertension, 26% had diabetes and 19% had cardiovascular disease. Among the 25 participants with clinical symptom data, all had symptomatic disease with the most common presenting symptoms being cough (64%), fever (52%) and headache (40%) (Table 1). Two patients, both in the haematology/oncology group, received treatments for COVID-19 as part of clinical trials (remdesivir n = 1; hydroxychloroquine n = 1).
At Days 7 and 28, 47% and 22% of participants, respectively, were still reporting symptoms (Fig 1). The median (interquartile range [IQR]) time to release from isolation for the total cohort was 16 (15–27) days: 15 (11–29) days for the haematologic/oncologic group, 26 (17–27) days for the secondary immunosuppression group, and 14 (14–14) days for the primary/acquired immunodeficiency group. Nine (33%) of participants were tested for SARS-CoV-2 by PCR after their entry date test (“Day 0”; see S2 Table). Of these nine participants, three (33%) tested positive at Day three, one (11%) at Day seven, two (22%) at Day 21, one (11%) at Day 28 and two (22%) at three months. Of the two participants that tested positive at three months, one had melanoma and one had an autoinflammatory condition.
Panel A. Fever; Panel B. Cough; Panel C. Headache; Panel D. Shortness of breath. E. Any symptom.
Where available, laboratory results were recorded over three months (S1 Fig). The platelet count peaked at Day 14, while the neutrophil and lymphocyte counts were highest at baseline and the C-reactive protein was highest at Day three.
Clinical illness outcomes are shown in S3 Table. Among the total cohort, nine (33%; n = 3 from each group) required hospitalisation with the median time from enrolment to hospital admission of three days. Three (11%) participants (two in the secondary immunosuppression group and one in the hematological/oncological group) required mechanical ventilation with the median time from enrolment to initiation of mechanical ventilation of three days. Overall, two (7%) participants died; one was a 66 year-old female in the hematological/oncological group and the other was an 81 year-old female in the secondary immunosuppression group. The time from SARS-CoV-2 diagnosis to death for both participants was 90 days; both died primarily from their underlying disease, rather than severe COVID-19.
Discussion
We report demographic and clinical characteristics of individuals with conditions associated with immune compromise who were diagnosed with COVID-19 from March–October 2020 prior to the introduction of SARS-CoV-2 vaccination, COVID-19 treatments, and the emergence of VOCs. During this time, there were few data available on the clinical outcomes of patients with COVID-19, particularly in rare and orphan disease groups, and there was considerable concern that, similar to other respiratory viruses [8–13], immunosuppressed individuals may be at risk for increased risk of mortality associated with SARS-CoV-2 infection and slower viral clearance. All patients in our study had symptomatic illness as well as evidence of prolonged durations of viral shedding.
The most common clinical presenting symptoms among all participants were cough, and fever, which were of similar prevalence to that reported in another cohort of 55 patients (9% were immunocompromised) studied during a similar period in Melbourne, Australia [14] (cough 64% in our cohort vs. 66%; fever 52% in our cohort versus 47%). Other symptoms were also similar including sore throat (32% in our cohort vs. 29%) and diarrhoea (24% in our cohort vs. 29%), although headache was more common among our cohort (40% in our cohort vs. 0.05%).
There is documented evidence of prolonged SARS-CoV-2 shedding in immunocompromised people, which can increase the risk of outgrowth of novel viral variants. The median time to de-isolation was 16 days in our cohort which is comparable to data published in the general population during the pre-Delta phase of the pandemic (median 12–16 days [15, 16]. In our study, the secondary immunosuppression group numerically had the longest median time to viral clearance (26 days) and there was delayed viral clearance in five patients ranging from three weeks to three months, in line with similar previous reports in immunocompromised individuals [17, 18]. A recent case series of SARS-CoV-2 Delta strain infection in immunocompromised individuals has demonstrated that immunocompromised patients can shed infectious (culture-positive) virus for up to 33 days accompanied by low levels of neutralising antibody [17]. These findings have implications for the risk of emergence of new variants with resistance to SARS-CoV-2 therapeutics, as well as for infection control. Additionally, for patients requiring allogeneic hematopoietic stem cell transplantation, chimeric antigen T cell therapies or even chemotherapy, this delayed clearance can delay therapy and potentially negatively a patient’s cancer survival outcomes.
Our findings suggest that patients in the secondary immunosuppression group may be functionally more immunocompromised than the haematological/oncology and primary/acquired immunodeficency groups. This may reflect the fact that four of the 12 patients in the heamatological/oncology group were on immunostimulatory checkpoint inhibitor therapies, which have been associated with similar mortality rates to patients with cancer [19]. In addition, three of the seven participants in the primary/acquired immunodeficiency group were people with HIV on antiretroviral therapy with CD4 lymphocyte counts >500 cells/mm3.
In this cohort of immunocompromised individuals, 33% required hospitalisation, 11% required mechanical ventilation, and 7% died. At the end of October 2020 in New South Wales (the end of our study period), among the total 4,237 reported COVID-19 cases, 55 (1.3%) had died [20].
Conclusions
Our data provide insights into COVID-19 illness and outcomes in immunocompromised individuals in a resource-rich setting prior to COVID-19 vaccines and specific therapies, and at a time when community transmission and healthcare strain was relatively low. These data provide a benchmark for future work evaluating vulnerable populations including those with heterogenous conditions affecting immune system function. We acknowledge several limitations including the small sample size, which reflects the small and short peak of COVID-19 in New South Wales in 2020, and limited data collection such as serial SARS CoV-2 PCR results. Further understanding around which specific subgroups of immunocompromised individuals are at greatest risk of SARS-CoV-2 infection, severe COVID-19 illness outcomes and prolonged SARS-CoV-2 shedding, particularly in the post-vaccination era and with the emergence of new variants, remains an important area of research.
Supporting information
S1 Fig. Markers of infection and inflammation over time among the total cohort (N = 27).
https://doi.org/10.1371/journal.pone.0289907.s001
(TIF)
S1 Table. Medication list (data available for 19 participants).
https://doi.org/10.1371/journal.pone.0289907.s002
(DOCX)
S2 Table. Number of participants with positive COVID-19 PCR positive results over time, by primary immunocompromising diagnostic category*.
*Only positive PCR results are reported.
https://doi.org/10.1371/journal.pone.0289907.s003
(DOCX)
S3 Table. Clinical outcomes of participants at three months after enrolment.
https://doi.org/10.1371/journal.pone.0289907.s004
(DOCX)
Acknowledgments
¶ CORIA Study Group: Nila J. Dharan1*, Sarah C. Sasson1,2,3, Golo Ahlenstiel4,5, Christopher R. Andersen6,7, Mark Bloch1,8, Griselda Buckland1, Nada Hamad9,10,11, Win Min Han1, Anthony D. Kelleher1,9, Georgina V. Long6,12,13, Gail V. Matthews1,9, Michael M. Mina14, Emmanuelle Papot1, Kathy Petoumenos1, Sanjay Swaminathan3,4,5, Barbara Withers9, James Yun11,15, Mark N. Polizzotto1,9,16, David A. Brown2,3, Rowena A. Bull1, Matthew S. Carlino4,12,13, Jennifer Curnow3, Sarah Davidson1, Dominic E. Dwyer2,3, Prudence N. Gatt17, Yuvaraj Ghodke1, Sally Hough1, Peter MacDonald9, Susan Maddocks3, Marianne Martinello1, Deborah Marriott9,10, Alexander M. Menzies6,12,13, Tania Sorrell13,17.
*CORIA Study Group contact: ndharan@kirby.unsw.edu.au
1Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
2NSW Health Pathology, New South Wales, Australia
3Westmead Hospital, Westmead, New South Wales, Australia
4Blacktown Hospital, Blacktown, New South Wales, Australia
5Western Sydney University, Penrith, New South Wales, Australia
6Royal North Shore Hospital, St Leonards, New South Wales, Australia
7The George Institute for Global Health, Newtown, New South Wales, Australia
8Holdsworth House Medical Practice, Darlinghurst, New South Wales, Australia
9St Vincent’s Hospital, Darlinghurst, New South Wales, Australia
10School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia
11School of Medicine, Sydney, University of Notre Dame, Chippendale, New South Wales, Australia
12Melanoma Institute Australia, Wollstonecraft, New South Wales, Australia
13The Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
14Northern Beaches Hospital, Frenchs Forest, New South Wales, Australia
15Nepean Hospital, Kingswood, New South Wales, Australia
16Australian National University, Canberra, Australian Capital Territory, Australia
17Westmead Institute of Medical Research, Westmead, Sydney, Australia
References
- 1. Shi H, Han X, Jiang N, Cao Y, Alwalid O, Gu J, et al. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis. 2020;20(4):425–34. Epub 2020/02/28. pmid:32105637; PubMed Central PMCID: PMC7159053.
- 2. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–13. Epub 2020/02/03. pmid:32007143.
- 3. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet (London, England). 2020;395(10223):497–506. Epub 2020/01/28. pmid:31986264.
- 4. Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430–6. pmid:32640463; PubMed Central PMCID: PMC7611074.
- 5. Shields AM, Anantharachagan A, Arumugakani G, Baker K, Bahal S, Baxendale H, et al. Outcomes following SARS-CoV-2 infection in patients with primary and secondary immunodeficiency in the UK. Clin Exp Immunol. 2022;209(3):247–58. Epub 2022/06/01. pmid:35641155; PubMed Central PMCID: PMC8807296.
- 6. Burrell AJ, Pellegrini B, Salimi F, Begum H, Broadley T, Campbell LT, et al. Outcomes for patients with COVID-19 admitted to Australian intensive care units during the first four months of the pandemic. Med J Aust. 2021;214(1):23–30. Epub 2020/12/17. pmid:33325070.
- 7. Australian Government Department of Health and Aged Care. Coronavirus (COVID-19)–CDNA National Guidelines for Public Health Units. Available at: https://www.health.gov.au/resources/publications/coronavirus-covid-19-cdna-national-guidelines-for-public-health-units. Access date July 22, 2023.
- 8. Kim YJ, Lee ES, Lee YS. High mortality from viral pneumonia in patients with cancer. Infect Dis (Lond). 2019;51(7):502–9. Epub 2019/05/14. pmid:31081422.
- 9. Manuel O, Estabrook M, American Society of Transplantation Infectious Diseases Community of P. RNA respiratory viral infections in solid organ transplant recipients: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice. Clin Transplant. 2019;33(9):e13511. pmid:30817023.
- 10. Gooskens J, Jonges M, Claas EC, Meijer A, Kroes AC. Prolonged influenza virus infection during lymphocytopenia and frequent detection of drug-resistant viruses. The Journal of infectious diseases. 2009;199(10):1435–41. Epub 2009/04/28. pmid:19392620.
- 11. Hill-Cawthorne GA, Schelenz S, Lawes M, Dervisevic S. Oseltamivir-resistant pandemic (H1N1) 2009 in patient with impaired immune system. Emerging infectious diseases. 2010;16(7):1185–6. Epub 2010/07/01. pmid:20587208; PubMed Central PMCID: PMC3321897.
- 12. Shalhoub S, AlZahrani A, Simhairi R, Mushtaq A. Successful recovery of MERS CoV pneumonia in a patient with acquired immunodeficiency syndrome: a case report. Journal of clinical virology: the official publication of the Pan American Society for Clinical Virology. 2015;62:69–71. Epub 2014/12/30. pmid:25542475.
- 13. Weinstock DM, Gubareva LV, Zuccotti G. Prolonged shedding of multidrug-resistant influenza A virus in an immunocompromised patient. N Engl J Med. 2003;348(9):867–8. Epub 2003/02/28. pmid:12606750.
- 14. Copaescu A, James F, Mouhtouris E, Vogrin S, Smibert OC, Gordon CL, et al. The Role of Immunological and Clinical Biomarkers to Predict Clinical COVID-19 Severity and Response to Therapy-A Prospective Longitudinal Study. Front Immunol. 2021;12:646095. pmid:33815405; PubMed Central PMCID: PMC8009986.
- 15. Mallett S, Allen AJ, Graziadio S, Taylor SA, Sakai NS, Green K, et al. At what times during infection is SARS-CoV-2 detectable and no longer detectable using RT-PCR-based tests? A systematic review of individual participant data. BMC Med. 2020;18(1):346. pmid:33143712; PubMed Central PMCID: PMC7609379.
- 16. Cevik M, Tate M, Lloyd O, Maraolo AE, Schafers J, Ho A. SARS-CoV-2, SARS-CoV, and MERS-CoV viral load dynamics, duration of viral shedding, and infectiousness: a systematic review and meta-analysis. Lancet Microbe. 2021;2(1):e13–e22. pmid:33521734; PubMed Central PMCID: PMC7837230.
- 17. Kim KW, Wang X, Adhikari A, Yeang M, Jenkins F, Naing Z, et al. Persistent high-level shedding of cultivable SARS-CoV-2 Delta virus 33 days after onset of COVID-19 in a hospitalized patient with pneumonia. J Med Virol. 2022;94(9):4043–6. pmid:35509147.
- 18. Zhu L, Gong N, Liu B, Lu X, Chen D, Chen S, et al. Coronavirus Disease 2019 Pneumonia in Immunosuppressed Renal Transplant Recipients: A Summary of 10 Confirmed Cases in Wuhan, China. Eur Urol. 2020;77(6):748–54. pmid:32317180; PubMed Central PMCID: PMC7166037.
- 19. Rogiers A, Pires da Silva I, Tentori C, Tondini CA, Grimes JM, Trager MH, et al. Clinical impact of COVID-19 on patients with cancer treated with immune checkpoint inhibition. J Immunother Cancer. 2021;9(1). Epub 2021/01/21. pmid:33468556; PubMed Central PMCID: PMC7817383.
- 20.
New South Wales Government. COVID-19 weekly surveillance in NSW epidemiological week 44, ending 31 October 2020. Available at: https://www.health.nsw.gov.au/Infectious/covid-19/Documents/covid-19-surveillance-report-20211111.pdf. Access date July 22, 2023.