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- Publisher Website: 10.1177/20543581231169610
- Scopus: eid_2-s2.0-85163589396
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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)
Title | Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD) |
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Authors | |
Keywords | bleeding DOPPS hemodialysis international risk prediction models |
Issue Date | 2023 |
Citation | Canadian Journal of Kidney Health and Disease, 2023, v. 10 How to Cite? |
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 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 Identifier | http://hdl.handle.net/10722/347055 |
DC Field | Value | Language |
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dc.contributor.author | Madken, Mohit | - |
dc.contributor.author | Mallick, Ranjeeta | - |
dc.contributor.author | Rhodes, Emily | - |
dc.contributor.author | Mahdavi, Roshanak | - |
dc.contributor.author | Bader Eddeen, Anan | - |
dc.contributor.author | Hundemer, Gregory L. | - |
dc.contributor.author | Kelly, Dearbhla M. | - |
dc.contributor.author | Karaboyas, Angelo | - |
dc.contributor.author | Robinson, Bruce | - |
dc.contributor.author | Bieber, Brian | - |
dc.contributor.author | Molnar, Amber O. | - |
dc.contributor.author | Badve, Sunil V. | - |
dc.contributor.author | Tanuseputro, Peter | - |
dc.contributor.author | Knoll, Gregory | - |
dc.contributor.author | Sood, Manish M. | - |
dc.date.accessioned | 2024-09-17T04:15:02Z | - |
dc.date.available | 2024-09-17T04:15:02Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Canadian Journal of Kidney Health and Disease, 2023, v. 10 | - |
dc.identifier.uri | http://hdl.handle.net/10722/347055 | - |
dc.description.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 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.language | eng | - |
dc.relation.ispartof | Canadian Journal of Kidney Health and Disease | - |
dc.subject | bleeding | - |
dc.subject | DOPPS | - |
dc.subject | hemodialysis | - |
dc.subject | international | - |
dc.subject | risk prediction models | - |
dc.title | Development and Validation of a Predictive Risk Algorithm for Bleeding in Individuals on Long-term Hemodialysis: An International Prospective Cohort Study (BLEED-HD) | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1177/20543581231169610 | - |
dc.identifier.scopus | eid_2-s2.0-85163589396 | - |
dc.identifier.volume | 10 | - |
dc.identifier.eissn | 2054-3581 | - |