Management of Outpatient Hemodialysis During the COVID-19 Pandemic: Recommendations From the Canadian Society of Nephrology COVID-19 Rapid Response Team
Bibliographic record
Abstract
PURPOSE: To collate best practice recommendations on the management of patients receiving in-center hemodialysis during the COVID-19 pandemic, based on published reports and current public health advice, while considering ethical principles and the unique circumstances of Canadian hemodialysis units across the country. SOURCES OF INFORMATION: The workgroup members used Internet search engines to retrieve documents from provincial and local hemodialysis programs; provincial public health agencies; the Centers for Disease Control and Prevention; webinars and slides from other kidney agencies; and nonreviewed preprints. PubMed was used to search for peer-reviewed published articles. Informal input was sought from knowledge users during a webinar. METHODS: Challenges in the care of hemodialysis patients during the COVID-19 pandemic were highlighted within the Canadian Senior Renal Leaders Forum discussion group. The Canadian Society of Nephrology (CSN) developed the COVID-19 rapid response team (RRT) to address these challenges. They identified a pan-Canadian team of clinicians and administrators with expertise in hemodialysis to form the workgroup. One lead was chosen who drafted the initial document. Members of the workgroup reviewed and discussed all recommendations in detail during 2 virtual meetings on April 7 and April 9. Disagreements were resolved by consensus. The document was reviewed by the CSN COVID-19 RRT, an ethicist, an infection control expert, a community nephrologist, and a patient partner. Content was presented during an interactive webinar on April 11, 2020 attended by 269 kidney health professionals, and the webinar and first draft of the document were posted online. Final revisions were made based on feedback received until April 13, 2020. CJKHD editors reviewed the parallel process peer review and edited the manuscript for clarity. KEY FINDINGS: Recommendations were made under the following themes: (1) Identification of patients with COVID-19 in the dialysis unit, (2) hemodialysis of patients with confirmed COVID-19, (3) hemodialysis of patients not yet known to have COVID-19, (4) visitors; (5) testing for COVID-19 in the dialysis unit; (6) resuscitation, (6) routine hemodialysis care, (7) hemodialysis care under fixed dialysis resources. LIMITATIONS: Because of limitations of time and resources, and the large number of questions, formal systematic review was not undertaken. The recommendations are based on expert opinion and subject to bias. The parallel review process that was created may not be as robust as the standard peer review process. IMPLICATIONS: We hope that these recommendations provide guidance for dialysis unit directors, clinicians, and administrators on how to limit risk from infection and adverse outcomes, while providing necessary dialysis care in a setting of finite resources. We also identify a number of resource allocation priorities, which we hope will inform decisions at provincial funding agencies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.040 | 0.095 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".