Skip to main content

Main menu

  • Home
  • Content
    • Published Ahead of Print
    • Current Issue
    • JASN Podcasts
    • Article Collections
    • Archives
    • Kidney Week Abstracts
    • Saved Searches
  • Authors
    • Submit a Manuscript
    • Author Resources
  • Editorial Team
  • Editorial Fellowship
    • Editorial Fellowship Team
    • Editorial Fellowship Application Process
  • More
    • About JASN
    • Advertising
    • Alerts
    • Feedback
    • Impact Factor
    • Reprints
    • Subscriptions
  • ASN Kidney News
  • Other
    • ASN Publications
    • CJASN
    • Kidney360
    • Kidney News Online
    • American Society of Nephrology

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
American Society of Nephrology
  • Other
    • ASN Publications
    • CJASN
    • Kidney360
    • Kidney News Online
    • American Society of Nephrology
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Advertisement
American Society of Nephrology

Advanced Search

  • Home
  • Content
    • Published Ahead of Print
    • Current Issue
    • JASN Podcasts
    • Article Collections
    • Archives
    • Kidney Week Abstracts
    • Saved Searches
  • Authors
    • Submit a Manuscript
    • Author Resources
  • Editorial Team
  • Editorial Fellowship
    • Editorial Fellowship Team
    • Editorial Fellowship Application Process
  • More
    • About JASN
    • Advertising
    • Alerts
    • Feedback
    • Impact Factor
    • Reprints
    • Subscriptions
  • ASN Kidney News
  • Follow JASN on Twitter
  • Visit ASN on Facebook
  • Follow JASN on RSS
  • Community Forum
Research letters
Open Access

Epidemiology and Outcomes of COVID-19 in Home Dialysis Patients Compared with In-Center Dialysis Patients

Caroline M. Hsu, Daniel E. Weiner, Gideon Aweh, Page Salenger, Doug S. Johnson and Eduardo Lacson
JASN July 2021, 32 (7) 1569-1573; DOI: https://doi.org/10.1681/ASN.2020111653
Caroline M. Hsu
1Division of Nephrology, Tufts Medical Center and Tufts University School of Medicine, Boston, Massachusetts
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Caroline M. Hsu
Daniel E. Weiner
1Division of Nephrology, Tufts Medical Center and Tufts University School of Medicine, Boston, Massachusetts
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Daniel E. Weiner
Gideon Aweh
2Dialysis Clinic, Inc., Nashville, Tennessee
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Page Salenger
2Dialysis Clinic, Inc., Nashville, Tennessee
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Doug S. Johnson
2Dialysis Clinic, Inc., Nashville, Tennessee
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eduardo Lacson Jr
1Division of Nephrology, Tufts Medical Center and Tufts University School of Medicine, Boston, Massachusetts
2Dialysis Clinic, Inc., Nashville, Tennessee
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data Supps
  • Info & Metrics
  • View PDF
Loading
  • chronic dialysis
  • chronic kidney disease
  • epidemiology and outcomes
  • ESKD
  • peritoneal dialysis
  • risk factors
  • SARS-CoV-2
  • COVID-19

Patients on dialysis are particularly vulnerable to coronavirus disease 2019 (COVID-19), with multiple studies describing mortality >20%.1⇓–3 Although infection rates among patients on dialysis tend to parallel local patterns, this population has a higher rate of COVID-19 compared with the general population; this may be a reflection of increased symptom screening and testing, and a limited ability to achieve physically distancing, particularly given the dependence of most patients on maintenance dialysis in the United States on in-center hemodialysis.4 Studies describing COVID-19 in patients receiving home dialysis are lacking but needed, given they share with patients on in-center dialysis similar risk factors for poor outcomes, including possible impaired immunity and high prevalence of comorbid conditions.

Dialysis Clinic, Inc. (DCI) is a national not-for-profit dialysis provider serving approximately 2000 patients on home dialysis (90% receiving peritoneal dialysis, 10% hemodialysis). The company has 116 clinics in 27 states with active home dialysis programs, although some of these clinics have only one or two patients on home dialysis. This retrospective cohort study included all DCI patients on home dialysis with positive testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from February 22, 2020 to December 31, 2020, with outcomes ascertained through February 1, 2021. Patients were diagnosed with COVID-19 via nasopharyngeal or oropharyngeal swab sent for RT-PCR testing. All positive COVID-19 tests were captured, regardless of whether the patient was assessed in the dialysis clinic, at a testing center, or at a hospital, and all patients with a positive SARS-CoV-2 test were considered to have COVID-19.

Demographic, comorbidity, and clinical data were collected from DCI’s electronic health records. To reflect the evolving epidemiology of the COVID-19 pandemic, analyses were conducted for two time periods: February 22 to September 30, 2020 (termed “phase 1”) and October 1 to December 31, 2020 (termed “phase 2”). For each phase, patients on home dialysis with COVID-19 were mapped to their clinics’ counties, which were then used to identify and compare dialysis patients in both home and in-center programs located within the same counties (Figure 1). We conducted multivariable logistic regression analysis to assess risk factors for COVID-19 among patients on home dialysis using a priori–identified covariates. To compare COVID-19 risk by modality, we calculated COVID-19 incidence rate for each modality, indexed to the date of the first COVID-19 case in a clinic’s county, whether home or in-center. We also collected 30-day mortality rates, indexed to the date of COVID-19 diagnosis for patients with COVID-19 and indexed to first COVID-19 case in the clinic’s county for patients without COVID-19. We conducted multivariable analysis with a priori–identified covariates to assess risk factors for mortality among patients on home dialysis with COVID-19.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Derivation of the study population in each phase of the study.

In phase 1, 46 of 1024 (4.5%) patients on home dialysis were diagnosed with COVID-19, deriving from clinics in 31 counties (Figure 1; see Supplemental Figure 1). Among patients on home dialysis, Black race, Hispanic ethnicity, and long-term care facility (LTCF) residence were associated with COVID-19 (Table 1). Patients on in-center dialysis had a significantly higher incidence of COVID-19 that was attenuated after excluding LTCF residents (Table 2). In phase 2, 99 of 1547 (6.4%) patients on home dialysis were diagnosed with COVID-19, deriving from clinics in 52 counties (Supplemental Figure 1). The incidence of COVID-19 no longer differed significantly by modality. COVID-19 prevalence among patients in an LTCF declined from phase 1 to phase 2. Among patients not in an LTCF, COVID-19 prevalence rose among those receiving home dialysis but remained stable among those receiving in-center dialysis (Table 2).

View this table:
  • View inline
  • View popup
Table 1.

Association between clinical characteristics and COVID-19 diagnosis among patients on home dialysis

View this table:
  • View inline
  • View popup
Table 2.

COVID-19 period prevalence and incidence rates of patients on dialysis, matched to home dialysis patients with COVID-19 by county

Among patients on home dialysis, six of 46 (13.0%) with COVID-19 died in phase 1, and 12 of 99 (12.1%) with COVID-19 died in phase 2 (Table 2). This compares with 74 of 978 (7.6%) and 127 of 1448 (8.8%) of patients on home dialysis without COVID-19 in phases 1 and 2, respectively (data not shown). Multivariable analysis conducted on the entire cohort (from February 22 through December 31) of patients on home dialysis with COVID-19 found that older age, longer vintage (dialysis duration), and cardiovascular disease were associated with mortality (Table 3).

View this table:
  • View inline
  • View popup
Table 3.

Risk factors for death among patients on home dialysis with COVID-19 from February to December 2020

Among patients on home dialysis, 4.5% had COVID-19 from February 22 through September 2020, with Black race, Hispanic ethnicity, and LTCF residence identified as significant risk factors, whereas from October through December 2020, 6.4% of patients on home dialysis had COVID-19. These analyses reflect the epidemiology of the COVID-19 pandemic in the United States over the past year. Early in the pandemic, testing constraints limited diagnoses to the symptomatic and those with easier access to health care, and COVID-19 was concentrated in LTCFs and urban communities, affecting a greater proportion of Black and Hispanic patients (Supplemental Table 1).5

Over time, LTCFs and dialysis facilities implemented and improved infection control practices targeting SARS-CoV-2 transmission, and the pandemic broadened to also affect more rural areas of the country. Thus, the epidemiology of COVID-19 in patients on home dialysis reflects its evolution in the general community, paralleling COVID-19 in the general dialysis population.1 , 6 Critically, the COVID-19 prevalence reported here may differ from prior reports, due to both duration of the study period and inclusion of rural areas.1 , 2 , 7 , 8 Moreover, COVID-19 prevalence in patients on home dialysis still exceeded that of the general population, which may be for multiple reasons. This population has greater-than-average health care utilization resulting from both ESKD and other medical comorbid conditions, a need for in-person medical care, and—in some patients—the associated need for shared transportation that limits physical distancing ability. Because this patient population has more comorbid conditions, it may also have a lower threshold to seek testing. Of note, epidemiologic patterns influenced by community COVID-19 prevalence, described in the October through December phase, are likely to persist in the coming months.

The early difference in COVID-19 prevalence by modality may be attributable to multiple factors, including limited ability to effectively practice physical distancing and higher numbers and a higher proportion of LTCF residents with COVID-19 among patients on in-center dialysis. Additionally, particularly in phase 1, when diagnostic testing resources were less available, patients receiving in-center dialysis likely encountered more opportunities for screening and testing. In phase 2, more widespread testing in the community provided an opportunity for greater diagnostic parity, although residual disparity may have persisted. In addition, LTCF residence was a significant contributor to in-center COVID-19 prevalence in phase 1; lower COVID-19 rates among LTCF residents in phase 2 appear associated with lower rates of COVID-19 among patients on in-center dialysis. These findings reinforce the importance of infection-control practices and frequent testing, especially in high-risk congregate settings.

Patients on home dialysis likely have greater mortality risk from COVID-19, compared with the 2.2% mortality rate recently estimated among the general population.9 Of note, the mortality rate in patients on home dialysis here was less than that reported by other studies of COVID-19 in the general dialysis population, dominated by patients treated in-center,1 , 2 , 7 , 8 including an earlier study by this group3; this likely reflects the generally better health of patients on home dialysis compared with the overall dialysis population. Mortality decreased from phase 1 to phase 2, falling by half among the in-center population, which likely reflects expanded testing availability enabling diagnosis of milder cases, improvement in COVID-19 management over time, fewer infections in LTCF residents, and possibly a reduced inoculum burden with widespread masking.10 Nevertheless, the high rate of poor outcomes in this vulnerable population reinforces the need for vaccine prioritization and continued vigilance in treating these patients. Older age and cardiovascular disease are known predictors of poor outcomes from COVID-19,11 reflected in this study as well.

We acknowledge this study’s limitations. Matching by county may have introduced certain biases, but this restriction critically mitigates the bias of COVID-19’s geographic variation during the study period. Due to the study’s observational design, we cannot exclude confounders when comparing outcomes by modality. It is also possible that the reduced differences in phase 2 compared with phase 1 were, at least in part, due to a larger study population, demonstrating regression to the mean.

In conclusion, COVID-19 epidemiology among patients on home dialysis over time reflects community trends and is similar to the epidemiology among patients on in-center dialysis. This study reinforces previous findings that residence in an LTCF is a significant risk factor for infection. Although the COVID-19 case fatality rate among patients on home dialysis trends lower than that for in-center hemodialysis, it is still high, underscoring that preventing COVID-19 in the dialysis population remains critical.

Disclosures

G. Aweh, D. S. Johnson, E. Lacson Jr., and P. Salenger are all employees of DCI where D. S. Johnson is Vice Chair of the Board. D. E. Weiner reports receiving salary support to his institution from DCI; and reports having consultancy agreements via Participation in Medical Advisory Boards for Akebia (2020, paid to DCI), Cara Therapeutics (2020), Janssen Biopharmaceuticals (2019), and Tricida (2019); reports receiving research funding (all paid to D. E. Weiner’s institution, DCI) as local site principal investigator (PI) for multiple clinical trials contracted through DCI including trials sponsored by Ardelyx (ongoing), AstraZeneca (site PI, capitated on the basis of recruitment, completed 2020), Cara Therapeutics (completed), Janssen Biopharmaceuticals (site PI, capitated on the basis of recruitment, completed 2019), and Goldfinch Bio (site PI, capitated on the basis of recruitment, ongoing); reports receiving honoraria from the National Kidney Foundation for an editorial position at Kidney Medicine and American Journal of Kidney Diseases; Elsevier for royalties from the Primer on Kidney Diseases; reports scientific advisor or membership as Co-Editor-in-Chief of National Kidney Foundation Primer on Kidney Diseases 8th Edition, Editor-in-Chief of Kidney Medicine, DCI Medical Director Research Committee, Member, ASN Quality and Policy Committees, and ASN representative to Kidney Care Partners, Scientific Advisory Board of National Kidney Foundation; and reports other interests/relationships as Chair of the Adjudications Committee for VALOR Trial (George Institute). D. S. Johnson reports being a scientific advisor or member of the American Association of Kidney Patients and Alive Hospice. The remaining author has nothing to disclose.

Funding

This report was supported by DCI. C. M. Hsu received support from the National Institute of Diabetes and Digestive and Kidney Diseases grant T32DK007777.

Supplemental Material

This article contains the following supplemental material online at http://jasn.asnjournals.org/lookup/suppl/doi:10.1681/ASN.2020111653/-/DCSupplemental.

Supplemental Figure 1. Map showing DCI clinic locations (dots) and surrounding county (shaded area) for each phase of the study.

Supplemental Table 1. Characteristics of patients on maintenance dialysis with COVID-19, comparing home to in-center modality.

Acknowledgments

The National Institute of Diabetes and Digestive and Kidney Diseases had no role in study design, data collection, reporting, or the decision to submit.

Footnotes

  • Published online ahead of print. Publication date available at www.jasn.org.

  • Copyright © 2021 by the American Society of Nephrology

References

  1. ↵
    1. Couchoud C ,
    2. Bayer F ,
    3. Ayav C ,
    4. Béchade C ,
    5. Brunet P ,
    6. Chantrel F , et al
    ; French REIN registry: Low incidence of SARS-CoV-2, risk factors of mortality and the course of illness in the French national cohort of dialysis patients. Kidney Int 98: 1519–1529, 2020 pmid:32858081
    OpenUrlPubMed
  2. ↵
    1. Weiss S ,
    2. Bhat P ,
    3. Del Pilar Fernandez M ,
    4. Bhat JG ,
    5. Coritsidis GN
    : COVID-19 infection in ESKD: Findings from a prospective disease surveillance program at dialysis facilities in New York City and Long Island. J Am Soc Nephrol 31: 2517–2521, 2020 pmid:33077614
    OpenUrlFREE Full Text
  3. ↵
    1. Hsu CM ,
    2. Weiner DE ,
    3. Aweh G ,
    4. Miskulin DC ,
    5. Manley HJ ,
    6. Stewart C , et al
    .: COVID-19 infection among US dialysis patients: Risk factors and outcomes from a national dialysis provider. Am J Kidney Dis Off J Natl Kidney Found 77: 748-756.e1, 2021
    OpenUrl
  4. ↵
    1. United States Renal Data System: 2018 USRDS Annual Data Report: Epidemiology of kidney disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 2018. Accessed October 29, 2020
  5. ↵
    1. Bhayani S ,
    2. Sengupta R ,
    3. Markossian T ,
    4. Tootooni S ,
    5. Luke A ,
    6. Shoham D , et al
    .: Dialysis, COVID-19, poverty, and race in Greater Chicago: An ecological analysis. Kidney Med 2: 552–558.e1, 2020 pmid:32838290
    OpenUrlPubMed
  6. ↵
    1. Taji L ,
    2. Thomas D ,
    3. Oliver MJ ,
    4. Ip J ,
    5. Tang Y ,
    6. Yeung A , et al
    .: COVID-19 in patients undergoing long-term dialysis in Ontario. CMAJ 193: e778-e284, 2021
    OpenUrl
  7. ↵
    1. Corbett RW ,
    2. Blakey S ,
    3. Nitsch D ,
    4. Loucaidou M ,
    5. McLean A ,
    6. Duncan N , et al
    ; West London Renal and Transplant Centre: Epidemiology of COVID-19 in an urban dialysis center. J Am Soc Nephrol 31: 1815–1823, 2020 pmid:32561681
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Alberici F ,
    2. Delbarba E ,
    3. Manenti C ,
    4. Econimo L ,
    5. Valerio F ,
    6. Pola A , et al
    .: A report from the Brescia Renal COVID Task Force on the clinical characteristics and short-term outcome of hemodialysis patients with SARS-CoV-2 infection. Kidney Int 98: 20–26, 2020 pmid:32437768
    OpenUrlPubMed
  9. ↵
    World Health Organization WHO Coronavirus Disease (COVID-19) Dashboard, 2020. Available at: https://covid19.who.int/. Accessed March 3, 2021
  10. ↵
    1. Gandhi M ,
    2. Rutherford GW
    : Facial masking for COVID-19: Potential for “variolation” as we await a vaccine. N Engl J Med 383: e101, 2020 pmid:32897661
    OpenUrlPubMed
  11. ↵
    1. Berlin DA ,
    2. Gulick RM ,
    3. Martinez FJ
    : Severe Covid-19. N Engl J Med 383: 2451–2460, 2020 pmid:32412710
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

Journal of the American Society of Nephrology: 32 (7)
Journal of the American Society of Nephrology
Vol. 32, Issue 7
July 2021
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
View Selected Citations (0)
Print
Download PDF
Sign up for Alerts
Email Article
Thank you for your help in sharing the high-quality science in JASN.
Enter multiple addresses on separate lines or separate them with commas.
Epidemiology and Outcomes of COVID-19 in Home Dialysis Patients Compared with In-Center Dialysis Patients
(Your Name) has sent you a message from American Society of Nephrology
(Your Name) thought you would like to see the American Society of Nephrology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Epidemiology and Outcomes of COVID-19 in Home Dialysis Patients Compared with In-Center Dialysis Patients
Caroline M. Hsu, Daniel E. Weiner, Gideon Aweh, Page Salenger, Doug S. Johnson, Eduardo Lacson
JASN Jul 2021, 32 (7) 1569-1573; DOI: 10.1681/ASN.2020111653

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Request Permissions
Share
Epidemiology and Outcomes of COVID-19 in Home Dialysis Patients Compared with In-Center Dialysis Patients
Caroline M. Hsu, Daniel E. Weiner, Gideon Aweh, Page Salenger, Doug S. Johnson, Eduardo Lacson
JASN Jul 2021, 32 (7) 1569-1573; DOI: 10.1681/ASN.2020111653
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like

Jump to section

  • Article
    • Disclosures
    • Funding
    • Supplemental Material
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data Supps
  • Info & Metrics
  • View PDF

More in this TOC Section

  • Second Wave Antibodies in Autoimmune Renal Diseases: The Case of Lupus Nephritis
  • Patient Activation Measure in Dialysis-Dependent Patients in the United States
  • Use of a Smartphone Camera at the Bedside to Assess Adequacy of Kidney Biopsies
Show more Research Letters

Cited By...

  • Seroresponse to SARS-CoV-2 vaccines among maintenance dialysis patients over six months
  • Seroresponse to SARS-CoV-2 vaccines among maintenance dialysis patients
  • Google Scholar

Similar Articles

Related Articles

  • PubMed
  • Google Scholar

Keywords

  • chronic dialysis
  • chronic kidney disease
  • epidemiology and outcomes
  • ESKD
  • peritoneal dialysis
  • risk factors
  • SARS-CoV-2
  • COVID-19

Articles

  • Current Issue
  • Early Access
  • Subject Collections
  • Article Archive
  • ASN Annual Meeting Abstracts

Information for Authors

  • Submit a Manuscript
  • Author Resources
  • Editorial Fellowship Program
  • ASN Journal Policies
  • Reuse/Reprint Policy

About

  • JASN
  • ASN
  • ASN Journals
  • ASN Kidney News

Journal Information

  • About JASN
  • JASN Email Alerts
  • JASN Key Impact Information
  • JASN Podcasts
  • JASN RSS Feeds
  • Editorial Board

More Information

  • Advertise
  • ASN Podcasts
  • ASN Publications
  • Become an ASN Member
  • Feedback
  • Follow on Twitter
  • Password/Email Address Changes
  • Subscribe to ASN Journals
  • Wolters Kluwer Partnership

© 2022 American Society of Nephrology

Print ISSN - 1046-6673 Online ISSN - 1533-3450

Powered by HighWire