Predicting transfer to haemodialysis using the peritoneal dialysis surprise question.

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Bibliographic Details
Title: Predicting transfer to haemodialysis using the peritoneal dialysis surprise question.
Authors: Anwaar A; Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.; Satellite Healthcare, San Jose, CA, USA., Liu S; Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA., Montez-Rath M; Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA., Neilsen H; Satellite Healthcare, San Jose, CA, USA., Sun S; Satellite Healthcare, San Jose, CA, USA., Abra G; Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.; Satellite Healthcare, San Jose, CA, USA., Schiller B; Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.; Satellite Healthcare, San Jose, CA, USA., Hussein WF; Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.; Satellite Healthcare, San Jose, CA, USA.
Source: Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis [Perit Dial Int] 2024 Jan; Vol. 44 (1), pp. 16-26. Date of Electronic Publication: 2023 Nov 28.
Publication Type: Observational Study; Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 8904033 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1718-4304 (Electronic) Linking ISSN: 08968608 NLM ISO Abbreviation: Perit Dial Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1718-4304
DOI:10.1177/08968608231214143