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...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
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 |