Evaluation of Four Risk-Scoring Methods to Predict Long-Term Outcomes in Patients Undergoing Aorto-Bifemoral Bypass for Aorto-Iliac Occlusive Disease

Francisca García; Joaquín Marchena; Vicente Cabrera; María Hermida; Enrico Sotgiu

doi:10.1055/s-0032-1302434

International Journal of Angiology, Table of Contents

Int J Angiol 2012; 21(01): 019-028
DOI: 10.1055/s-0032-1302434

Original Article

Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Evaluation of Four Risk-Scoring Methods to Predict Long-Term Outcomes in Patients Undergoing Aorto-Bifemoral Bypass for Aorto-Iliac Occlusive Disease

Francisca García

¹Department of Vascular Surgery, University Hospital Dr. Negrín, Las Palmas de Gran Canaria, Spain

,

Joaquín Marchena

²Department of General Surgery, University Hospital Dr. Negrín, Las Palmas de Gran Canaria, Spain

,

Vicente Cabrera

¹Department of Vascular Surgery, University Hospital Dr. Negrín, Las Palmas de Gran Canaria, Spain

,

María Hermida

¹Department of Vascular Surgery, University Hospital Dr. Negrín, Las Palmas de Gran Canaria, Spain

,

Enrico Sotgiu

¹Department of Vascular Surgery, University Hospital Dr. Negrín, Las Palmas de Gran Canaria, Spain

› Author Affiliations

Abstract

This study was done to determine the usefulness of the American Society of Anesthesiologists (ASA) classification, the comorbidity Charlson index unadjusted (CCIu),the comorbidity Charlson index adjusted by age (CCIa), and the Glasgow aneurysm score (GAS) for postoperative morbimortality and survival in patients treated with aorto-bifemoral bypass (AFB) for aorto-iliac occlusive disease (AIOD). A series of 278 patients who underwent AFB were restrospectively studied. For the CCIu, CCIa, ASA, and GAS, receiver operating characteristics curve analysis for prediction of morbidity showed area under the curves of 0.61 (p = 0.004), 0.59 (p = 0.026), 0.569 (p = 0.087), and 0.63 (p = 0.001), respectively. Additionally, univariate analysis showed that CCIa (p = 0.016) and GAS (p = 0.006) were associated significantly with an increased risk of developing complications. Furthermore, CCIa (p < 0.001) and GAS (p = 0.001) showed a significant association with survival. Finally, the variable age was related to morbidity (p = 0.004), mortality (p = 0.038), and survival (p < 0.001). The comorbididity and the age should be taken in account in clinical treatment decisions for patients with AIOD. The CCIa and GAS may play a role as predictive factors for postoperative morbidity and survival after AFB.

Keywords

atherosclerosis - peripheral arterial disease - risk factors - risk-scoring methods

Full Text

References

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