Anna Weiss1, Katherine C Lee1, Kevin T Brumund1, David C Chang1, Michael Bouvet2. 1. Department of Surgery, University of California San Diego, San Diego, CA. 2. Department of Surgery, University of California San Diego, San Diego, CA. Electronic address: mbouvet@ucsd.edu.
Abstract
BACKGROUND: Hematoma after thyroidectomy is a potentially lethal complication. We sought to evaluate risk factors for hematoma formation using the Nationwide Inpatient Sample. We hypothesized that certain risk factors could be identified and that this information would be useful to surgeons. METHODS: The Nationwide Inpatient Sample database was queried for patients who underwent thyroidectomy from 1998 to 2010. Bivariate analysis was used to compare patients with and without hematoma. Logistic regression was performed to identify important predictors of hematoma. RESULTS: There were 150,012 patients. The rate of hematoma was 1.25%. Female sex and high-volume hospitals were important for decreased hematoma risk (odds ratio 0.61[0.54-0.69] and 0.71 [0.56-0.83], respectively). Black race, age >45 years, inflammatory thyroid disease, partial thyroidectomy, chronic kidney disease, and bleeding disorders increased the risk of hematoma (odds ratio 1.37, 1.44, 1.59, 1.69, 1.8, 3.38; respectively). Overall mortality was 0.32% for the entire group and 1.34% in patients with postoperative hematoma (P < .001). Patients with hematoma after thyroidectomy were 2.94 [1.76-4.9] times more likely to die than those without hematoma. CONCLUSION: We identified risk factors associated with postoperative hematoma after thyroidectomy. Such information should be useful for surgeons for predicting patients at risk for this potentially lethal complication.
BACKGROUND:Hematoma after thyroidectomy is a potentially lethal complication. We sought to evaluate risk factors for hematoma formation using the Nationwide Inpatient Sample. We hypothesized that certain risk factors could be identified and that this information would be useful to surgeons. METHODS: The Nationwide Inpatient Sample database was queried for patients who underwent thyroidectomy from 1998 to 2010. Bivariate analysis was used to compare patients with and without hematoma. Logistic regression was performed to identify important predictors of hematoma. RESULTS: There were 150,012 patients. The rate of hematoma was 1.25%. Female sex and high-volume hospitals were important for decreased hematoma risk (odds ratio 0.61[0.54-0.69] and 0.71 [0.56-0.83], respectively). Black race, age >45 years, inflammatory thyroid disease, partial thyroidectomy, chronic kidney disease, and bleeding disorders increased the risk of hematoma (odds ratio 1.37, 1.44, 1.59, 1.69, 1.8, 3.38; respectively). Overall mortality was 0.32% for the entire group and 1.34% in patients with postoperative hematoma (P < .001). Patients with hematoma after thyroidectomy were 2.94 [1.76-4.9] times more likely to die than those without hematoma. CONCLUSION: We identified risk factors associated with postoperative hematoma after thyroidectomy. Such information should be useful for surgeons for predicting patients at risk for this potentially lethal complication.
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