Creation of a Risk Calculator for Predicting New-Onset Cardiac Arrhythmias in Patients Undergoing Lumbar Fusion.

INTRODUCTION: As an increasing number of lumbar fusion procedures are being conducted at specialty hospitals and surgery centers, appropriate patient selection and risk stratification is critical to minimizing patient transfers. Postoperative cardiac arrhythmia has been linked to worse patient outcomes and is a common cause of patient transfer. Therefore, we created a risk calculator to predict a patient's likelihood of developing a new-onset postoperative cardiac arrhythmia after lumbar spinal fusion, which may improve preoperative facility selection. METHODS: A retrospective review was conducted of patients who undergoing lumbar fusion from 2017 to 2021 at a single academic center. Patients were excluded if they had any medical history of a cardiac arrhythmia. Multivariable regression was conducted to determine independent predictors of inpatient arrhythmias. The final regression was applied to a bootstrap to validate an arrhythmia prediction model. A risk calculator was created to determine a patient's risk of new-onset cardiac arrhythmia. RESULTS: A total of 1,622 patients were included, with 45 patients developing a new-onset postoperative arrhythmia. Age (OR = 1.05; 95% CI, 1.02 to 1.09; P = 0.003), history of beta-blocker use (OR = 2.01; 95% CI, 1.08 to 3.72; P = 0.027), and levels fused (OR = 1.59; 95% CI, 1.20 to 2.00; P = 0.001) were all independent predictors of having a new-onset inpatient arrhythmia. This multivariable regression produced an area under the curve of 0.742. The final regression was applied to a bootstrap prediction modeling technique to create a risk calculator including the male sex, age, body mass index, beta-blocker use, and levels fused (OR = 1.04, [CI = 1.03 to 1.06]) that produced an area under the curve of 0.733. CONCLUSION: A patient's likelihood of developing postoperative cardiac arrhythmias may be predicted by comorbid conditions and demographic factors including age, sex, body mass index, and beta-blocker use. Knowledge of these risk factors may improve appropriate selection of an outpatient surgical center or orthopaedic specialty hospital versus an inpatient hospital for lumbar fusions.

Impact of Heart Disease History on Safety of Telemedicine Cardiac Clearance Appointments.

PURPOSE: The objective of this study was to compare complication, readmission, mortality, and cancellation rates between patients who had either an in-person or telemedicine preoperative cardiac clearance visit before spine surgery. METHODS: A retrospective review was conducted on patients who underwent a spine procedure at a single tertiary academic center from February 1, 2020, to June 30, 2021. Cancellations, inpatient complications, 90-day readmissions, and inpatient and 90-day mortality rates were compared between in-person and telemedicine cardiac clearance visits. Secondary analysis included multiple logistic regression to determine independent predictors of case cancellations and complications. Alpha was set at P < 0.05. RESULTS: A total of 1,331 consecutive patients were included, with 775 patients (58.2%) having an in-person cardiac clearance visit and 556 (41.8%) having telemedicine clearance. Overall, the telemedicine cohort did not have more cancellations, complications, or readmissions. Regardless of the type of clearance, patients with a history of cardiac disease had more inpatient complications (15.8% versus 6.9%, P < 0.001) and higher 90-day mortality rates (2.3% versus 0.4%, P = 0.005). Subgroup analysis of patients with a history of cardiac disease showed that patients who had telemedicine visits had more cancellations (4.6% versus 10.9%, P = 0.036) and higher 90-day mortality rates (1.4% versus 4.4%, P = 0.045). On regression analysis, telemedicine visits were not independent predictors of preoperative cancellation rates (P = 0.173) but did predict greater preoperative cancellations among patients with cardiac history (odds ratio 2.73, P = 0.036). DISCUSSION: Patients with cardiac disease who undergo preoperative telemedicine visits have greater preoperative surgical cancellation rates and postoperative 90-day mortality rates. Although preoperative telemedicine visits may be appropriate for most patients, a history of cardiac disease should be a contraindication.