2003
DOI: 10.1001/archotol.129.12.1297
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Validation of a Transfusion Prediction Model in Head and Neck Cancer Surgery

Abstract: In general, the TPRA model identifies patients at low or high risk for allogeneic transfusion and provides guidelines for preoperative counseling regarding the risk of receiving a transfusion. Knowledge of a patient's risk can help direct cost-effective utilization of type and crossmatch, preoperative autologous blood donation, and preoperative priming with erythropoietin.

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Cited by 39 publications
(51 citation statements)
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“…This is to be expected in such analyses when the original model is applied to a new sample of patients from another institution in a separate country. However, a model with an area under the ROC curve of 0.74 (95% CI: 0.66-0.82) tested in an external sample of patients is still considered to provide reasonable predictive accuracy [17]. Nevertheless, clinicians who use our risk model should be aware that some loss of accuracy will occur when applied to new patients.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is to be expected in such analyses when the original model is applied to a new sample of patients from another institution in a separate country. However, a model with an area under the ROC curve of 0.74 (95% CI: 0.66-0.82) tested in an external sample of patients is still considered to provide reasonable predictive accuracy [17]. Nevertheless, clinicians who use our risk model should be aware that some loss of accuracy will occur when applied to new patients.…”
Section: Discussionmentioning
confidence: 99%
“…Discrimination refers to the ability of a diagnostic test or predictive tool to accurately identify patients at low and high risk for the event under investigation and is often presented as the area under the ROC curve. A predictive instrument with a ROC of ≥0.70 is considered to have good discrimination, and an area of 0.5 is equivalent to a "coin toss" [17]. In the current study, two sets of validation were performed with an internal and external sample.…”
Section: Validation Of Prediction Modelmentioning
confidence: 99%
“…According to the literature, blood transfusion is required in 14-80% of all head and neck cancer operations [8]. However, within our unit only 16% of major head and neck operations required blood transfusion (11 of 68 cases transfused between August 2008-August 2009).…”
Section: Discussionmentioning
confidence: 98%
“…The time-independent ROC curve was employed to evaluate the discrimination of the risk model and the FIGO stage system, which was performed by R software. As described by previous studies, the model is considered to have good discrimination if the area under the ROC curve (AUC) is greater than 0.753435. All p -values were two-tailed, and values < 0.05 were considered statistically significant.…”
Section: Methodsmentioning
confidence: 99%