Management of Outpatient Hemodialysis During the COVID-19 Pandemic: Recommendations From the Canadian Society of Nephrology COVID-19 Rapid Response Team
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,040 | 0,095 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,006 | 0,004 |
| Études des sciences et des technologies | 0,011 | 0,005 |
| Communication savante | 0,009 | 0,005 |
| Science ouverte | 0,007 | 0,007 |
| Intégrité de la recherche | 0,010 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».