Reliable prediction of postmastectomy lymphedema: The Risk Assessment Tool Evaluating Lymphedema.
Am J Surg
; 213(6): 1125-1133.e1, 2017 Jun.
Article
en En
| MEDLINE
| ID: mdl-27745890
BACKGROUND: Breast cancer-related lymphedema remains a significant complication post mastectomy. Identifying patients at highest risk may better inform targeted healthcare resource allocation and improve outcomes. This study aims to identify lymphedema predictors after mastectomy to develop a simple, accurate risk assessment tool. METHODS: An institutional retrospective review identified all women with breast cancer undergoing mastectomy between January 2000 and July 2013 with postmastectomy lymphedema as the primary outcome. Stepwise multivariate Cox regression identified independent predictors of lymphedema. A simplified risk assessment tool was derived and composite risk estimated for each patient. RESULTS: Of 3,136 patients included, 325 (10.4%) developed lymphedema after a follow-up of 4.2 years. Significant predictors included invasive cancer diagnosis (hazard ratio [HR] = 2.25), postmastectomy radiation (HR = 2.05), age over 65 years (HR = 1.90), and axillary dissection (HR = 1.79). Stratified lymphedema risk by group was defined as follows: low 6.2%, moderate 10.0%, high 16.4%, and extreme 36.4%. The model demonstrated excellent risk discrimination (C = .78). CONCLUSIONS: Postmastectomy lymphedema incidence was 10.4%. Invasive cancer diagnosis, chemoradiation, and axillary dissection imparted significant risk. The Risk Assessment Tool Evaluating Lymphedema offers accurate risk discrimination ranging from 6.2% to 36.4%. Selective treatment approaches may improve outcomes and delivery of cost-effective healthcare.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias de la Mama
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Linfedema del Cáncer de Mama
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Mastectomía
Tipo de estudio:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Adult
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Aged
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Female
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Humans
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Middle aged
Idioma:
En
Revista:
Am J Surg
Año:
2017
Tipo del documento:
Article
Pais de publicación:
Estados Unidos