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Cervical Total Disc Replacement and Anterior Cervical Discectomy and Fusion: Reoperation Rates, Complications, and Hospital Resource Utilization in 72 688 Patients in the United States

医学 颈椎前路椎间盘切除融合术 回顾性队列研究 医疗补助 并发症 队列 病历 外科 不利影响 病因学 急诊医学 医疗保健 内科学 颈椎 经济增长 经济
作者
Kavelin Rumalla,Kyle A. Smith,Paul M. Arnold
出处
期刊:Neurosurgery [Oxford University Press]
卷期号:82 (4): 441-453 被引量:61
标识
DOI:10.1093/neuros/nyx289
摘要

Abstract BACKGROUND Healthcare readmissions are important causes of increased cost and have profound clinical impact. Thirty-day readmissions in spine surgery have been well documented. However, rates, causes, and outcomes are not well understood outside 30 d. OBJECTIVE To analyze 30- and 90-d readmissions for a retrospective cohort of anterior cervical discectomy and fusions (ACDF) and total disc replacement (TDR) for degenerative cervical conditions. METHODS The Nationwide Readmissions Database approximates 50% of all US hospitalizations with patient identifiers to track patients longitudinally. Patients greater than 18 yr old were identified. Rates of readmission for 30 and 90 d were calculated. Predictor variables, complications, outcomes, and costs were analyzed via univariate and multivariable analyses. RESULTS Between January and September 2013, 72 688 patients were identified. The 30- and 90-d readmission rates were 2.67% and 5.97%, respectively. The most prevalent reason for 30-d readmission was complication of medical/surgical care (20.3%), whereas for 90-d readmission it was degenerative spine etiology (19.2%). Common risk factors for 30- and 90-d readmission included older age, male gender, Medicare/Medicaid, prolonged initial length of stay, and various comorbidities. Unique risk factors for 30- and 90-d readmissions included adverse discharge disposition and mechanical implant-related complications, respectively. When comparing ACDF and TDR, ACDFs were associated with increased 90-d readmissions (6.0% vs 4.3%). The TDR cohort had a shorter length of stay, lower complication rate, and fewer adverse discharge dispositions. CONCLUSION Identification of readmission causes and predictors is important to potentially allow for changes in periperative management. Decreasing readmissions would improve patient outcomes and reduce healthcare costs.

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