STUDY DESIGN: Retrospective database analysis. OBJECTIVE: To compare perioperative patient characteristics, hospital resource utilization, and early postoperative outcomes in patients requiring reintubation after anterior cervical fusion (ACF). SUMMARY OF BACKGROUND DATA: Airway compromise is a potential complication after anterior cervical surgery. Postsurgical soft-tissue edema or hematoma formation may be so severe that an unplanned reintubation may be required. The rate of reintubation after ACF and the effect on hospital outcomes remains unknown. METHODS: The Nationwide Inpatient Sample database was queried from 2002-2011. Patients undergoing elective ACF procedures for degenerative diagnoses were selected. Those who required an unplanned reintubation after ACF were identified. Patient demographics, comorbidities, length of stay, costs, number of levels fused, and mortality were analyzed. SPSS version 20 was used for statistical analysis and a P < 0.001 denoted statistical significance. RESULTS: A total of 262,425 patients underwent an elective ACF between 2002 and 2011 of which 1464 patients (5.6 per 1000 cases) required reintubation during their admission. The rate of reintubation was statistically greater for 3+-level fusions than the 1- to 2-level fusion cases. On average, patients requiring reintubation were older and had a greater number of comorbidities. These patients also incurred a significantly greater hospital stay and total hospital costs than unaffected patients. In addition, significant predictors for reintubation included 3+-level fusions, congestive heart failure, anemia, postoperative aspiration pneumonia, hematoma, thromboembolic events, and dysphagia. CONCLUSION: The reintubation rate after an elective ACF is 0.5%, and it increases to 1.6% after 3+-level fusions. Older patients with greater comorbidities are at an increased risk for reintubation. Given the greater LOS, costs and mortality associated with reintubation, it is imperative to identify patients at increased risk to help improve patient outcomes and decrease hospital resource utilization. LEVEL OF EVIDENCE: 4.
STUDY DESIGN: Retrospective database analysis. OBJECTIVE: To compare perioperative patient characteristics, hospital resource utilization, and early postoperative outcomes in patients requiring reintubation after anterior cervical fusion (ACF). SUMMARY OF BACKGROUND DATA: Airway compromise is a potential complication after anterior cervical surgery. Postsurgical soft-tissue edema or hematoma formation may be so severe that an unplanned reintubation may be required. The rate of reintubation after ACF and the effect on hospital outcomes remains unknown. METHODS: The Nationwide Inpatient Sample database was queried from 2002-2011. Patients undergoing elective ACF procedures for degenerative diagnoses were selected. Those who required an unplanned reintubation after ACF were identified. Patient demographics, comorbidities, length of stay, costs, number of levels fused, and mortality were analyzed. SPSS version 20 was used for statistical analysis and a P < 0.001 denoted statistical significance. RESULTS: A total of 262,425 patients underwent an elective ACF between 2002 and 2011 of which 1464 patients (5.6 per 1000 cases) required reintubation during their admission. The rate of reintubation was statistically greater for 3+-level fusions than the 1- to 2-level fusion cases. On average, patients requiring reintubation were older and had a greater number of comorbidities. These patients also incurred a significantly greater hospital stay and total hospital costs than unaffected patients. In addition, significant predictors for reintubation included 3+-level fusions, congestive heart failure, anemia, postoperative aspiration pneumonia, hematoma, thromboembolic events, and dysphagia. CONCLUSION: The reintubation rate after an elective ACF is 0.5%, and it increases to 1.6% after 3+-level fusions. Older patients with greater comorbidities are at an increased risk for reintubation. Given the greater LOS, costs and mortality associated with reintubation, it is imperative to identify patients at increased risk to help improve patient outcomes and decrease hospital resource utilization. LEVEL OF EVIDENCE: 4.
Authors: Brittany N Burton; Timothy C Lin; Alison M A'Court; Ulrich H Schmidt; Rodney A Gabriel Journal: J Anesth Date: 2018-05-28 Impact factor: 2.078
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Authors: Joshua Schroeder; Stephan N Salzmann; Alexander P Hughes; James D Beckman; Jennifer Shue; Federico P Girardi Journal: World J Orthop Date: 2017-06-18
Authors: Peter G Passias; Gregory W Poorman; Edward Delsole; Peter L Zhou; Samantha R Horn; Cyrus M Jalai; Shaleen Vira; Bassel Diebo; Virginie Lafage Journal: Global Spine J Date: 2017-10-24
Authors: Venkat Boddapati; Nathan J Lee; Justin Mathew; Meghana M Vulapalli; Joseph M Lombardi; Marc D Dyrszka; Zeeshan M Sardar; Ronald A Lehman; K Daniel Riew Journal: Global Spine J Date: 2020-07-24
Authors: Gintas P Krisciunas; Susan E Langmore; Stephanie Gomez-Taborda; Daniel Fink; Joseph E Levitt; Jeffrey McKeehan; Edel McNally; Rebecca Scheel; Alix C Rubio; Jonathan M Siner; Rosemary Vojnik; Heather Warner; S David White; Marc Moss Journal: Crit Care Med Date: 2020-11 Impact factor: 9.296
Authors: Derrick Acheampong; Shanice Guerrier; Valentina Lavarias; David Pechman; Christopher Mills; William Inabnet; I Michael Leitman Journal: Ann Med Surg (Lond) Date: 2018-08-20