Objectives: This study aimed to establish and validate a novel predictive model for venous thromboembolism (VTE) in patients undergoing oral and maxillofacial oncological surgery with simultaneous reconstruction.
Material and methods: A total of 372 patients were selected, and their demographic data, comorbidities, medical history, laboratory variables, postoperative Caprini scores, perioperative indicators, and procedures were recorded and analyzed to build the model. The predictive model is displayed as a nomogram.
Results: The incidence of VTE was 20.7% (77/372). Several factors were found to be significantly associated with VTE, including age (67 vs. 56 years, P < 0.001), preoperative level of D-dimer (0.56 vs. 0.36 mg/L, P < 0.001), proportion of female patients (46.8% vs. 33.6%, P = 0.032), hypertension (33.8% vs. 21%, P = 0.019). The predictive model was composed of age, gender, and preoperative D-dimer level, with good discriminative ability, as reflected by an area under the curve (AUC) of 0.756, the 95% confidence interval (CI) was 0.696-0.816. Moreover, it showed favorable diagnostic performance compared with both the 2005 (AUC 0.646, 95% CI = 0.578-0.714) and 2010 (AUC 0.627, 95% CI = 0.559-0.694) versions of the Caprini risk assessment model. For patients with malignant tumor, neoadjuvant chemotherapy was also an independent risk factor.
Conclusions: This novel predictive model consists of three readily available clinical variables that show good diagnostic performance in predicting postoperative VTE.
Keywords: Deep vein thrombosis; Oral and maxillofacial surgery; Oral oncology; Reconstructive surgery; Venous thromboembolism.
© 2023 Published by Elsevier Ltd.