Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Madken, Mohit, Mallick, Ranjeeta, Rhodes, Emily, Mahdavi, Roshanak, Bader Eddeen, Anan, Hundemer, Gregory L., Kelly, Dearbhla M., Karaboyas, Angelo, Robinson, Bruce, Bieber, Brian, Molnar, Amber O., Badve, Sunil V., Tanuseputro, Peter, Knoll, Gregory, Sood, Manish M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291537/
https://www.ncbi.nlm.nih.gov/pubmed/37377481
http://dx.doi.org/10.1177/20543581231169610
_version_ 1785062710703030272
author Madken, Mohit
Mallick, Ranjeeta
Rhodes, Emily
Mahdavi, Roshanak
Bader Eddeen, Anan
Hundemer, Gregory L.
Kelly, Dearbhla M.
Karaboyas, Angelo
Robinson, Bruce
Bieber, Brian
Molnar, Amber O.
Badve, Sunil V.
Tanuseputro, Peter
Knoll, Gregory
Sood, Manish M.
author_facet Madken, Mohit
Mallick, Ranjeeta
Rhodes, Emily
Mahdavi, Roshanak
Bader Eddeen, Anan
Hundemer, Gregory L.
Kelly, Dearbhla M.
Karaboyas, Angelo
Robinson, Bruce
Bieber, Brian
Molnar, Amber O.
Badve, Sunil V.
Tanuseputro, Peter
Knoll, Gregory
Sood, Manish M.
author_sort Madken, Mohit
collection PubMed
description 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 DOPPS cohort (mean age, 63.7 years; female, 39.7%), a bleeding event occurred in 2773 patients (5.2%, event rate 32 per 1000 person-years), with a median follow-up of 1.6 (interquartile range [IQR], 0.9-2.1) years. BLEED-HD included 6 variables: age, sex, country, previous gastrointestinal bleeding, prosthetic heart valve, and vitamin K antagonist use. The observed 3-year probability of bleeding by deciles of risk ranged from 2.2% to 10.8%. Model discrimination was low to moderate (c-statistic = 0.65) with excellent calibration (Brier score range = 0.036-0.095). Discrimination and calibration of BLEED-HD were similar in an external validation of 19 318 patients from Ontario, Canada. Compared to existing bleeding scores, BLEED-HD demonstrated better discrimination and calibration (c-statistic: HEMORRHAGE = 0.59, HAS-BLED = 0.59, and ATRIA = 0.57, c-stat difference, net reclassification index [NRI], and integrated discrimination index [IDI] all P value <.0001). LIMITATIONS: Dialysis procedure anticoagulation was not available; validation cohort was considerably older than the development cohort. CONCLUSION: In patients on maintenance hemodialysis, BLEED-HD is a simple risk equation that may be more applicable than existing risk tools in predicting the risk of bleeding in this high-risk population.
format Online
Article
Text
id pubmed-10291537
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-102915372023-06-27 Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD) Madken, Mohit Mallick, Ranjeeta Rhodes, Emily Mahdavi, Roshanak Bader Eddeen, Anan Hundemer, Gregory L. Kelly, Dearbhla M. Karaboyas, Angelo Robinson, Bruce Bieber, Brian Molnar, Amber O. Badve, Sunil V. Tanuseputro, Peter Knoll, Gregory Sood, Manish M. Can J Kidney Health Dis Original Clinical Research Quantitative 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 DOPPS cohort (mean age, 63.7 years; female, 39.7%), a bleeding event occurred in 2773 patients (5.2%, event rate 32 per 1000 person-years), with a median follow-up of 1.6 (interquartile range [IQR], 0.9-2.1) years. BLEED-HD included 6 variables: age, sex, country, previous gastrointestinal bleeding, prosthetic heart valve, and vitamin K antagonist use. The observed 3-year probability of bleeding by deciles of risk ranged from 2.2% to 10.8%. Model discrimination was low to moderate (c-statistic = 0.65) with excellent calibration (Brier score range = 0.036-0.095). Discrimination and calibration of BLEED-HD were similar in an external validation of 19 318 patients from Ontario, Canada. Compared to existing bleeding scores, BLEED-HD demonstrated better discrimination and calibration (c-statistic: HEMORRHAGE = 0.59, HAS-BLED = 0.59, and ATRIA = 0.57, c-stat difference, net reclassification index [NRI], and integrated discrimination index [IDI] all P value <.0001). LIMITATIONS: Dialysis procedure anticoagulation was not available; validation cohort was considerably older than the development cohort. CONCLUSION: In patients on maintenance hemodialysis, BLEED-HD is a simple risk equation that may be more applicable than existing risk tools in predicting the risk of bleeding in this high-risk population. SAGE Publications 2023-06-22 /pmc/articles/PMC10291537/ /pubmed/37377481 http://dx.doi.org/10.1177/20543581231169610 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Clinical Research Quantitative
Madken, Mohit
Mallick, Ranjeeta
Rhodes, Emily
Mahdavi, Roshanak
Bader Eddeen, Anan
Hundemer, Gregory L.
Kelly, Dearbhla M.
Karaboyas, Angelo
Robinson, Bruce
Bieber, Brian
Molnar, Amber O.
Badve, Sunil V.
Tanuseputro, Peter
Knoll, Gregory
Sood, Manish M.
Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD)
title Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD)
title_full Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD)
title_fullStr Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD)
title_full_unstemmed Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD)
title_short Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD)
title_sort development and validation of a predictive risk algorithm for bleeding in individuals on long-term hemodialysis: an international prospective cohort study (bleed-hd)
topic Original Clinical Research Quantitative
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291537/
https://www.ncbi.nlm.nih.gov/pubmed/37377481
http://dx.doi.org/10.1177/20543581231169610
work_keys_str_mv AT madkenmohit developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT mallickranjeeta developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT rhodesemily developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT mahdaviroshanak developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT badereddeenanan developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT hundemergregoryl developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT kellydearbhlam developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT karaboyasangelo developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT robinsonbruce developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT bieberbrian developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT molnarambero developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT badvesunilv developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT tanuseputropeter developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT knollgregory developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd
AT soodmanishm developmentandvalidationofapredictiveriskalgorithmforbleedinginindividualsonlongtermhemodialysisaninternationalprospectivecohortstudybleedhd