Predicting transfer to haemodialysis using the peritoneal dialysis surprise question.

Dialysis-dependent kidney disease end-stage kidney disease home dialysis peritoneal dialysis surprise question technique failure transfer to haemodialysis

Journal

Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis
ISSN: 1718-4304
Titre abrégé: Perit Dial Int
Pays: United States
ID NLM: 8904033

Informations de publication

Date de publication:
28 Nov 2023
Historique:
medline: 29 11 2023
pubmed: 29 11 2023
entrez: 29 11 2023
Statut: aheadofprint

Résumé

People on peritoneal dialysis (PD) at risk of transfer to haemodialysis (HD) need support to remain on PD or ensure a safe transition to HD. Simple point-of-care risk stratification tools are needed to direct limited dialysis centre resources. In this study, we evaluated the utility of collecting clinicians' identification of patients at high risk of transfer to HD using a single point of care question. In this prospective observational study, we included 1275 patients undergoing PD in 35 home dialysis programmes. We modified the palliative care 'surprise question' (SQ) by asking the registered nurse and treating nephrologist: 'Would you be surprised if this patient transferred to HD in the next six months?' A 'yes' or 'no' answer indicated low and high risk, respectively. We subsequently followed patient outcomes for 6 months. Cox regression model estimated the hazard ratio (HR) of transfer to HD. Patients' mean age was 59 ± 16 years, 41% were female and the median PD vintage was 20 months (interquartile range: 9-40). Responses were received from nurses for 1123 patients, indicating 169 (15%) as high risk and 954 (85%) as low risk. Over the next 6 months, transfer to HD occurred in 18 (11%) versus 29 (3%) of the high and low-risk groups, respectively (HR: 3.92, 95% confidence interval (CI): 2.17-7.05). Nephrologist responses were obtained for 692 patients, with 118 (17%) and 574 (83%) identified as high and low risk, respectively. Transfer to HD was observed in 14 (12%) of the high-risk group and 14 (2%) of the low-risk group (HR: 5.56, 95% CI: 2.65-11.67). Patients in the high-risk group experienced higher rates of death and hospitalisation than low-risk patients, with peritonitis events being similar between the two groups. The PDSQ is a simple point of care tool that can help identify patients at high risk of transfer to HD and other poor clinical outcomes.

Sections du résumé

BACKGROUND UNASSIGNED
People on peritoneal dialysis (PD) at risk of transfer to haemodialysis (HD) need support to remain on PD or ensure a safe transition to HD. Simple point-of-care risk stratification tools are needed to direct limited dialysis centre resources. In this study, we evaluated the utility of collecting clinicians' identification of patients at high risk of transfer to HD using a single point of care question.
METHODS UNASSIGNED
In this prospective observational study, we included 1275 patients undergoing PD in 35 home dialysis programmes. We modified the palliative care 'surprise question' (SQ) by asking the registered nurse and treating nephrologist: 'Would you be surprised if this patient transferred to HD in the next six months?' A 'yes' or 'no' answer indicated low and high risk, respectively. We subsequently followed patient outcomes for 6 months. Cox regression model estimated the hazard ratio (HR) of transfer to HD.
RESULTS UNASSIGNED
Patients' mean age was 59 ± 16 years, 41% were female and the median PD vintage was 20 months (interquartile range: 9-40). Responses were received from nurses for 1123 patients, indicating 169 (15%) as high risk and 954 (85%) as low risk. Over the next 6 months, transfer to HD occurred in 18 (11%) versus 29 (3%) of the high and low-risk groups, respectively (HR: 3.92, 95% confidence interval (CI): 2.17-7.05). Nephrologist responses were obtained for 692 patients, with 118 (17%) and 574 (83%) identified as high and low risk, respectively. Transfer to HD was observed in 14 (12%) of the high-risk group and 14 (2%) of the low-risk group (HR: 5.56, 95% CI: 2.65-11.67). Patients in the high-risk group experienced higher rates of death and hospitalisation than low-risk patients, with peritonitis events being similar between the two groups.
CONCLUSIONS UNASSIGNED
The PDSQ is a simple point of care tool that can help identify patients at high risk of transfer to HD and other poor clinical outcomes.

Identifiants

pubmed: 38017608
doi: 10.1177/08968608231214143
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8968608231214143

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: AA was a grant recipient from Satellite Healthcare during the conduct of the study; HN is an employee at Satellite Healthcare; SS is an employee at Satellite Healthcare; GA is an employee at Satellite Healthcare and Baxter honoraria; BS was an employee at Satellite Healthcare during the conduct of the study, BOD Unicycive and Advisor Akebia; and WH is an employee at Satellite Healthcare and advisory board for GSK.

Auteurs

Ayesha Anwaar (A)

Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.
Satellite Healthcare, San Jose, CA, USA.

Sai Liu (S)

Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.

Maria Montez-Rath (M)

Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.

Hatsumi Neilsen (H)

Satellite Healthcare, San Jose, CA, USA.

Sumi Sun (S)

Satellite Healthcare, San Jose, CA, USA.

Graham Abra (G)

Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.
Satellite Healthcare, San Jose, CA, USA.

Brigitte Schiller (B)

Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.
Satellite Healthcare, San Jose, CA, USA.

Wael F Hussein (WF)

Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA.
Satellite Healthcare, San Jose, CA, USA.

Classifications MeSH