Construction of risk factors and prediction model for arteriovenous graft thrombosis.
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| Title: | Construction of risk factors and prediction model for arteriovenous graft thrombosis. |
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| Alternate Title: | Construcción de un modelo de predicción y factores de riesgo para la trombosis en injertos arteriovenosos en pacientes con hemodiálisis de mantenimiento. |
| Authors: | Fang, Yumei1 yummyla@163.com, Cao, Xia1 |
| Source: | Nefrologia. Dec2025, Vol. 45 Issue 10, p1-6. 6p. |
| Subjects: | THROMBOSIS, PREDICTION models, ARTERIOVENOUS fistula, LOGISTIC regression analysis, RISK assessment, DISEASE risk factors, NOMOGRAPHY (Mathematics), HEMODIALYSIS |
| Abstract (English): | Objective: This study aims to identify risk factors for thrombosis in arteriovenous grafts and construct a predictive model to assess thrombosis risk in patients undergoing maintenance hemodialysis (MHD). Methods: A total of 160 MHD patients with arteriovenous graft were included and divided into a thrombosis group (n = 39) and a control group (n = 121). Univariate and multivariate logistic regression analyses were performed to identify independent risk factors. A nomogram prediction model was developed using R software, and its predictive performance was evaluated through calibration curves and C-index validation. Results: Multivariate analysis identified diabetes, hypotension during dialysis, arteriovenous graft stenosis, compression hemostasis > 30 min, and calcium-phosphorus product > 55 mg2 /dL2 as independent risk factors for arteriovenous graft thrombosis. The nomogram model demonstrated good predictive accuracy, with an initial C-index of 0.753 and a validated C-index of 0.735. Conclusion: The established nomogram effectively predicts arteriovenous graft thrombosis risk, aiding early identification and targeted intervention for high-risk patients. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | Objetivo Este estudio tiene como objetivo identificar los factores de riesgo de trombosis en injertos arteriovenosos y construir un modelo predictivo para evaluar el riesgo de trombosis en pacientes en hemodiálisis de mantenimiento (MHD). Métodos Se incluyeron un total de 450 pacientes con MHD y AVG, divididos en grupo trombótico (n = 79) y grupo control (n = 371). Se realizó un análisis de regresión logística univariable y multivariable para determinar los factores de riesgo independientes. Se desarrolló un modelo de predicción utilizando un nomograma con el software R y se evaluó su rendimiento predictivo a través de la curva de calibración y la validación del índice C. Resultados El análisis multivariable determinó que la diabetes, la hipotensión durante la diálisis, la estenosis de AVG, la hemostasia por compresión durante más de 30 minutos y el producto de calcio y fósforo > 55 mg2/dL2 fueron factores de riesgo independientes para la trombosis de AVG. El modelo de nomograma mostró una buena precisión de predicción, con un índice C inicial de 0.753 y un índice C verificado de 0.735. Conclusión El nomograma establecido puede predecir eficazmente el riesgo de trombosis de AVG y ayudar a la identificación temprana y la intervención específica en pacientes de alto riesgo. [ABSTRACT FROM AUTHOR] |
| Copyright of Nefrologia is the property of Revista Nefrologia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: lth DbLabel: MedicLatina An: 189740969 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Construction of risk factors and prediction model for arteriovenous graft thrombosis. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Construcción de un modelo de predicción y factores de riesgo para la trombosis en injertos arteriovenosos en pacientes con hemodiálisis de mantenimiento. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fang%2C+Yumei%22">Fang, Yumei</searchLink><relatesTo>1</relatesTo><i> yummyla@163.com</i><br /><searchLink fieldCode="AR" term="%22Cao%2C+Xia%22">Cao, Xia</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nefrologia%22">Nefrologia</searchLink>. Dec2025, Vol. 45 Issue 10, p1-6. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22THROMBOSIS%22">THROMBOSIS</searchLink><br /><searchLink fieldCode="DE" term="%22PREDICTION+models%22">PREDICTION models</searchLink><br /><searchLink fieldCode="DE" term="%22ARTERIOVENOUS+fistula%22">ARTERIOVENOUS fistula</searchLink><br /><searchLink fieldCode="DE" term="%22LOGISTIC+regression+analysis%22">LOGISTIC regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22RISK+assessment%22">RISK assessment</searchLink><br /><searchLink fieldCode="DE" term="%22DISEASE+risk+factors%22">DISEASE risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22NOMOGRAPHY+%28Mathematics%29%22">NOMOGRAPHY (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22HEMODIALYSIS%22">HEMODIALYSIS</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Objective: This study aims to identify risk factors for thrombosis in arteriovenous grafts and construct a predictive model to assess thrombosis risk in patients undergoing maintenance hemodialysis (MHD). Methods: A total of 160 MHD patients with arteriovenous graft were included and divided into a thrombosis group (n = 39) and a control group (n = 121). Univariate and multivariate logistic regression analyses were performed to identify independent risk factors. A nomogram prediction model was developed using R software, and its predictive performance was evaluated through calibration curves and C-index validation. Results: Multivariate analysis identified diabetes, hypotension during dialysis, arteriovenous graft stenosis, compression hemostasis > 30 min, and calcium-phosphorus product > 55 mg2 /dL2 as independent risk factors for arteriovenous graft thrombosis. The nomogram model demonstrated good predictive accuracy, with an initial C-index of 0.753 and a validated C-index of 0.735. Conclusion: The established nomogram effectively predicts arteriovenous graft thrombosis risk, aiding early identification and targeted intervention for high-risk patients. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: Objetivo Este estudio tiene como objetivo identificar los factores de riesgo de trombosis en injertos arteriovenosos y construir un modelo predictivo para evaluar el riesgo de trombosis en pacientes en hemodiálisis de mantenimiento (MHD). Métodos Se incluyeron un total de 450 pacientes con MHD y AVG, divididos en grupo trombótico (n = 79) y grupo control (n = 371). Se realizó un análisis de regresión logística univariable y multivariable para determinar los factores de riesgo independientes. Se desarrolló un modelo de predicción utilizando un nomograma con el software R y se evaluó su rendimiento predictivo a través de la curva de calibración y la validación del índice C. Resultados El análisis multivariable determinó que la diabetes, la hipotensión durante la diálisis, la estenosis de AVG, la hemostasia por compresión durante más de 30 minutos y el producto de calcio y fósforo > 55 mg2/dL2 fueron factores de riesgo independientes para la trombosis de AVG. El modelo de nomograma mostró una buena precisión de predicción, con un índice C inicial de 0.753 y un índice C verificado de 0.735. Conclusión El nomograma establecido puede predecir eficazmente el riesgo de trombosis de AVG y ayudar a la identificación temprana y la intervención específica en pacientes de alto riesgo. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nefrologia is the property of Revista Nefrologia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=lth&AN=189740969 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.nefroe.2025.501365 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 1 Subjects: – SubjectFull: THROMBOSIS Type: general – SubjectFull: PREDICTION models Type: general – SubjectFull: ARTERIOVENOUS fistula Type: general – SubjectFull: LOGISTIC regression analysis Type: general – SubjectFull: RISK assessment Type: general – SubjectFull: DISEASE risk factors Type: general – SubjectFull: NOMOGRAPHY (Mathematics) Type: general – SubjectFull: HEMODIALYSIS Type: general Titles: – TitleFull: Construction of risk factors and prediction model for arteriovenous graft thrombosis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fang, Yumei – PersonEntity: Name: NameFull: Cao, Xia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02116995 Numbering: – Type: volume Value: 45 – Type: issue Value: 10 Titles: – TitleFull: Nefrologia Type: main |
| ResultId | 1 |
