Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD).

ABSTRACT:

Background

Individuals with kidney disease are at a high risk of bleeding and as such tools that identify those at highest risk may aid mitigation strategies.

Objective

We set out to develop and validate a prediction equation (BLEED-HD) to identify patients on maintenance hemodialysis at high risk of bleeding.

Design

International prospective cohort study (development); retrospective cohort study (validation).

Settings

Development: 15 countries (Dialysis Outcomes and Practice Patterns Study [DOPPS] phase 2-6 from 2002 to 2018); Validation: Ontario, Canada.

Patients

Development: 53 147 patients; Validation: 19 318 patients.

Measurements

Hospitalization for a bleeding event.

Methods

Cox proportional hazards models.

Results

Among the DO

SUBMITTER: Madken M 

PROVIDER: S-EPMC10291537 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature