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

TitleDevelopment and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD)
Authors
Keywordsbleeding
DOPPS
hemodialysis
international
risk prediction models
Issue Date2023
Citation
Canadian Journal of Kidney Health and Disease, 2023, v. 10 How to Cite?
AbstractBackground: 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.
Persistent Identifierhttp://hdl.handle.net/10722/347055

 

DC FieldValueLanguage
dc.contributor.authorMadken, Mohit-
dc.contributor.authorMallick, Ranjeeta-
dc.contributor.authorRhodes, Emily-
dc.contributor.authorMahdavi, Roshanak-
dc.contributor.authorBader Eddeen, Anan-
dc.contributor.authorHundemer, Gregory L.-
dc.contributor.authorKelly, Dearbhla M.-
dc.contributor.authorKaraboyas, Angelo-
dc.contributor.authorRobinson, Bruce-
dc.contributor.authorBieber, Brian-
dc.contributor.authorMolnar, Amber O.-
dc.contributor.authorBadve, Sunil V.-
dc.contributor.authorTanuseputro, Peter-
dc.contributor.authorKnoll, Gregory-
dc.contributor.authorSood, Manish M.-
dc.date.accessioned2024-09-17T04:15:02Z-
dc.date.available2024-09-17T04:15:02Z-
dc.date.issued2023-
dc.identifier.citationCanadian Journal of Kidney Health and Disease, 2023, v. 10-
dc.identifier.urihttp://hdl.handle.net/10722/347055-
dc.description.abstractBackground: 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.-
dc.languageeng-
dc.relation.ispartofCanadian Journal of Kidney Health and Disease-
dc.subjectbleeding-
dc.subjectDOPPS-
dc.subjecthemodialysis-
dc.subjectinternational-
dc.subjectrisk prediction models-
dc.titleDevelopment and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD)-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1177/20543581231169610-
dc.identifier.scopuseid_2-s2.0-85163589396-
dc.identifier.volume10-
dc.identifier.eissn2054-3581-

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