Risk of Dysphagia and Dysphonia in Patients With Prior Thyroidectomy Undergoing Anterior Cervical Discectomy and Fusion

Study Design Retrospective cohort study using PearlDiver database. Objectives To evaluate the effect of prior thyroidectomy on complications of Anterior Cervical Discectomy and Fusion (ACDF) surgery. Methods PearlDiver was used to identify patients without prior dysphagia or dysphonia undergoing ACDF between the years 2010-2020Q1. Patients with and without prior thyroidectomy were matched by levels of fusion, alcohol use, and gastroesophageal reflux disease in a 1:5 ratio. Postoperative outcomes were assessed for each cohort with multivariable logistic regression, controlling for age, sex, and Elixhauser Comorbidity Index. Results Between 2010 and 2019, matched cohorts of 792 ACDF patients with prior thyroidectomy and 3960 ACDF only patients were included in the study. Of patients with previous thyroidectomy undergoing ACDF, 16.3% experienced dysphagia at 1-year compared with 10.6% for patients undergoing ACDF only (aOR=1.39, P=.004). Patients with previous thyroidectomy also had higher odds of dysphonia at 1-year following ACDF, as compared to patients with ACDF alone (2.7% vs 1.2%, aOR=1.74, P= .048). Patients undergoing ACDF with prior thyroidectomy did not have increased risk of revision at 1 year (aOR=1.10, P=.698), 2 years (aOR=1.16, P=.457), or 5 years (aOR=1.20, P=.255) following surgery. There were no differences in postoperative opioid utilization rates at 1 month (aOR=2.07, P=.138), 3 months (aOR=2.45, P=.095), 6 months (aOR=1.34, P=.520), and 12 months (aOR=1.69, P=.202). Prior thyroidectomy was not associated with reintubation following ACDF (P=.995). Conclusions Patients with prior thyroidectomy undergoing ACDF surgery experience increased odds of dysphagia and dysphonia at 1-year follow-up compared to those without prior thyroidectomy. </jats:sec

Machine Learning Prediction of Length of Stay in Adult Spinal Deformity Patients Undergoing Posterior Spine Fusion Surgery

(1) Background: Length of stay (LOS) is a commonly reported metric used to assess surgical success, patient outcomes, and economic impact. The focus of this study is to use a variety of machine learning algorithms to reliably predict whether a patient undergoing posterior spinal fusion surgery treatment for Adult Spine Deformity (ASD) will experience a prolonged LOS. (2) Methods: Patients undergoing treatment for ASD with posterior spinal fusion surgery were selected from the American College of Surgeon’s NSQIP dataset. Prolonged LOS was defined as a LOS greater than or equal to 9 days. Data was analyzed with the Logistic Regression, Decision Tree, Random Forest, XGBoost, and Gradient Boosting functions in Python with the Sci-Kit learn package. Prediction accuracy and area under the curve (AUC) were calculated. (3) Results: 1281 posterior patients were analyzed. The five algorithms had prediction accuracies between 68% and 83% for posterior cases (AUC: 0.566–0.821). Multivariable regression indicated that increased Work Relative Value Units (RVU), elevated American Society of Anesthesiologists (ASA) class, and longer operating times were linked to longer LOS. (4) Conclusions: Machine learning algorithms can predict if patients will experience an increased LOS following ASD surgery. Therefore, medical resources can be more appropriately allocated towards patients who are at risk of prolonged LOS

Effects of Delayed Hip Fracture Surgery on Severely Ill Patients: Defining the Time to Medical Optimization

Background: Patients with multiple comorbidities often have delayed hip fracture surgery due to medical optimization. The goal of this study is to identify the allowable time for medical optimization in severely ill hip fracture patients. Methods: The 2016-2019 NSQIP database was used to identify patients over age 60 with ASA classification scores 3 and 4 for severe and life-threatening systemic diseases. Patients were divided into immediate (\u3c24 \u3ehours), early (24-48 hours), or late (\u3e48 hours) groups based on time to surgery (TTS). Risk-adjusted multivariable logistic regressions were conducted to compare relationships between 30-day postoperative outcomes and TTS. Results: 43,071 hip fracture cases were analyzed for the purposes of this study. Compared to patients who underwent surgery immediately, patients who had surgeries between 24 and 48 hours were associated with higher rates of pneumonia (OR 1.357, CI 1.194-1.542), UTIs (OR 1.155, CI 1.000-1.224), readmission (OR 1.136, CI 1.041-1.240), postoperative LOS beyond 6 days (OR 1.249, CI 1.165-1.340), and mortality (OR 1.205, CI 1.084-1.338). Patients with surgeries delayed beyond 48 hours were associated with higher rates of CVA (OR 1.542, CI 1.048-2.269), pneumonia (OR 1.886, CI 1.611-2.209), UTIs (OR 1.546, CI 1.283-1.861), readmission (OR 1.212, CI 1.074-1.366), postoperative LOS beyond 6 days (OR 1.829, CI 1.670-2.003), and mortality (OR 1.475, CI 1.286-1.693) compared to patients with immediate surgery. Discussion: Severely ill patients with the hip fracture may have a 24-hour window for medical optimization. Hip fracture surgery performed beyond 48 hours is associated with higher complication rates and mortality among those who are severely ill. Further prospective studies are warranted to examine the effects of early surgical intervention among severely ill patients