Winward Choy1, Sandi K Lam2, Zachary A Smith1, Nader S Dahdaleh1. 1. Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL. 2. Department of Neurosurgery, Baylor College of Medicine, Texas Children's Hospital, Houston, TX.
Abstract
STUDY DESIGN: Retrospective cohort study. OBJECTIVE: The aim of the study was to determine readmission rates and predictors of readmission after posterior cervical fusion (PCF). SUMMARY OF BACKGROUND DATA: PCFs are common spinal operations for a variety of spinal disorders including cervical myelopathy, unstable fractures, cervical deformity, and tumors. Data elaborating on risk factors for 30-day readmission are limited. METHODS: Data were collected from the 2006 to 2013 American College of Surgeons National Surgical Quality Improvement Program database. Predictors of 30-day readmission comprising patient demographics, comorbidities, operative features, and postoperative complications were identified through logistic multivariable regression. RESULTS: A total of 3401 patients met study criteria. Rate of 30-day readmission was 6.20%. Multilevel fusion was performed in 69.16% of patients. Postoperative infection was the most reason, accounting for 17.06% of all readmissions. Age older than 70 years (odds ratio [OR] = 1.61, P = 0.012), renal failure requiring dialysis (OR = 3.69, P = 0.011), anemia (OR = 1.57, P = 0.006), multilevel fusion (OR = 1.61, P = 0.012), surgical site infections (OR = 20.4, P < 0.001), wound dehiscence (OR = 19.08, P < 0.001), postoperative pneumonia (OR = 2.75, P = 0.01), pulmonary embolism (OR = 15.39, P < 0.001), and progressing renal insufficiency (OR = 10.13, P = 0.061) were significant predictors of hospital readmission. CONCLUSION: The identified predictors of readmission after PCF can improve patient counseling, identification of high-risk patients, and guide changes in healthcare delivery pathways. Patients with modifiable risk factors such as anemia and kidney failure may benefit from preoperative optimization. In addition, postoperative complications represent a key target for intervention. LEVEL OF EVIDENCE: 3.
STUDY DESIGN: Retrospective cohort study. OBJECTIVE: The aim of the study was to determine readmission rates and predictors of readmission after posterior cervical fusion (PCF). SUMMARY OF BACKGROUND DATA: PCFs are common spinal operations for a variety of spinal disorders including cervical myelopathy, unstable fractures, cervical deformity, and tumors. Data elaborating on risk factors for 30-day readmission are limited. METHODS: Data were collected from the 2006 to 2013 American College of Surgeons National Surgical Quality Improvement Program database. Predictors of 30-day readmission comprising patient demographics, comorbidities, operative features, and postoperative complications were identified through logistic multivariable regression. RESULTS: A total of 3401 patients met study criteria. Rate of 30-day readmission was 6.20%. Multilevel fusion was performed in 69.16% of patients. Postoperative infection was the most reason, accounting for 17.06% of all readmissions. Age older than 70 years (odds ratio [OR] = 1.61, P = 0.012), renal failure requiring dialysis (OR = 3.69, P = 0.011), anemia (OR = 1.57, P = 0.006), multilevel fusion (OR = 1.61, P = 0.012), surgical site infections (OR = 20.4, P < 0.001), wound dehiscence (OR = 19.08, P < 0.001), postoperative pneumonia (OR = 2.75, P = 0.01), pulmonary embolism (OR = 15.39, P < 0.001), and progressing renal insufficiency (OR = 10.13, P = 0.061) were significant predictors of hospital readmission. CONCLUSION: The identified predictors of readmission after PCF can improve patient counseling, identification of high-risk patients, and guide changes in healthcare delivery pathways. Patients with modifiable risk factors such as anemia and kidney failure may benefit from preoperative optimization. In addition, postoperative complications represent a key target for intervention. LEVEL OF EVIDENCE: 3.
Authors: Akash A Shah; Sai K Devana; Changhee Lee; Amador Bugarin; Elizabeth L Lord; Arya N Shamie; Don Y Park; Mihaela van der Schaar; Nelson F SooHoo Journal: Eur Spine J Date: 2021-08-15 Impact factor: 2.721
Authors: Rachel S Bronheim; Jun S Kim; John Di Capua; Nathan J Lee; Parth Kothari; Sulaiman Somani; Kevin Phan; Samuel K Cho Journal: Global Spine J Date: 2017-04-11