Successful Reinnervation of the Diaphragm After Intercostal to Phrenic Nerve Neurotization in Patients With High Spinal Cord Injury.

OBJECTIVE: Our objective in this study was to extend diaphragmatic pacing therapy to include paraplegic patients with high cervical spinal cord injuries between C3 and C5. INTRODUCTION: Diaphragmatic pacing has been used in patients experiencing ventilator-dependent respiratory failure due to spinal cord injury as a means to reduce or eliminate the need for mechanical ventilation. However, this technique relies on intact phrenic nerve function. Recently, phrenic nerve reconstruction with intercostal nerve grafting has expanded the indications for diaphragmatic pacing. Our study aimed to evaluate early outcomes and efficacy of intercostal nerve transfer in diaphragmatic pacing. METHODS: Four ventilator-dependent patients with high cervical spinal cord injuries were selected for this study. Each patient demonstrated absence of phrenic nerve function via external neck stimulation and laparoscopic diaphragm mapping. Each patient underwent intercostal to phrenic nerve grafting with implantation of a phrenic nerve pacer. The patients were followed, and ventilator dependence was reassessed at 1 year postoperatively. RESULTS: Our primary outcome was measured by the amount of time our patients tolerated off the ventilator per day. We found that all 4 patients have tolerated paced breathing independent of mechanical ventilation, with 1 patient achieving 24 hours of tracheostomy collar. CONCLUSIONS: From this study, intercostal to phrenic nerve transfer seems to be a promising approach in reducing or eliminating ventilator support in patients with C3 to C5 high spinal cord injury.

Predicting the Risk of Postoperative Respiratory Failure in Elective Abdominal and Vascular Operations Using the National Surgical Quality Improvement Program (NSQIP) Participant Use Data File.

OBJECTIVE: This study aims to develop a Respiratory Failure Risk Score (RFRS) with good predictability for elective abdominal and vascular patients to be used in the outpatient setting for risk stratification and to guide preoperative pulmonary optimization. SUMMARY BACKGROUND DATA: Postoperative respiratory failure (RF), defined as ventilator dependency for more than 48 hours or unplanned reintubation within 30 days, is associated with increased mortality and hospital costs. Many tools have been previously described for risk stratification, but few target elective surgical candidates. METHODS: Our training sample included patients undergoing inpatient, nonemergent general and vascular procedures sampled for the American College of Surgeon National Surgical Quality Improvement Program 2012 Participant Use File. Multivariable logistic regression identified independent preoperative risk factors associated with RF, used to derive a weighted RFRS. We then determined goodness-of-fit and optimal cutoff values through receiver operator characteristic analysis and Youden indices to evaluate internal and external validity with a retrospective institutional validation sample (2013 and 2014). RESULTS: Multivariable analysis of 151,700 patients from the National Surgical Quality Improvement Program Participant Use File identified 12 variables independently associated with RF. The RFRS showed good external prediction in the validation sample with a c-statistic of 0.73 (95% confidence interval, 0.68-0.79). With the highest Youden index, 30 was determined to be the optimal cutoff value with a sensitivity 0.62 and specificity of 0.75. Additional cutoff values of 15 and 40 optimized sensitivity (>0.80) and specificity (>0.80), respectively. CONCLUSIONS: In the preoperative setting, the RFRS can effectively stratify patients into low (<15), moderate low (15-29), moderate high (30-39), and high risk (>39) to assist in patient counseling and guide application of perioperative pulmonary optimization measures.