Risk Factors of 90-Day Unplanned Readmission After Lumbar Spine Surgery for Degenerative Lumbar Disk Disease: A Systematic Review and Meta-Analysis.
Systematic Review
With the increasing aging population, the number of patients undergoing lumbar spinal surgery for degenerative changes is rising. In the United States, spinal fusion surgery ranked sixth in operating room procedures, accounting for 3.2% of all such procedures, with an aggregate cost for stays amounting to $14.1 billion, making it the most expensive operating room procedure in 2018. The aim of this study was to identify valid risk factors of 90-day unplanned readmissions after lumbar spine surgery through a meta-analysis, with the goal of saving insurance finances and improving patient clinical outcomes./r/nWe searched PubMed, Embase, Web of Science, and Cochrane Library databases using the search terms “90-day readmission” and “lumbar spine surgery.” Eleven eligible studies were included. Characteristic differences between readmitted and nonreadmitted patients were identified and analyzed using Review Manager software./r/nThis meta-analysis included 11 studies with a total of 648 415 patients; 50 047 were readmitted unplanned after lumbar spine surgery. The incidence of unplanned readmission after lumbar spine surgery was 7.72%. Among demographic risk factors, older age and higher body mass index were significantly associated with unplanned readmission after lumbar spine surgery. Patient characteristics, such as depression, diabetes mellitus, hypertension, renal failure, and an American Society of Anesthesiologists grade greater than 2 were also significantly associated with unplanned readmission after lumbar spine surgery./r/nThe meta-analysis revealed a 7.72% incidence of unplanned readmission after lumbar spine surgery. These findings suggest the need for enhanced preoperative optimization and careful patient selection for lumbar spine surgery, particularly in elderly patients and those with multiple comorbidities. Implementation of targeted preventive strategies for high-risk patients may help reduce unplanned readmissions and improve healthcare resource utilization.
