Unintended readmissions and reoperations within 30 and 90 days following adult spinal deformity surgery.

Abstract

Objective: This study investigated the rates and etiologies of unintended readmissions and reoperations within 30 and 90 days after adult spinal deformity (ASD) surgery. The authors aimed to identify the risk factors for readmission and reoperation by analyzing patient demographic and surgical characteristics.

Methods: This retrospective cohort study included 307 consecutive patients who underwent surgery for ASD from 2012 to 2022 at a single academic institution. Data were collected on patient demographic characteristics, comorbidities, operative details, and postoperative complications. Chi-square and multivariable logistic regression models were used to identify the risk factors associated with 30- and 90-day readmissions and reoperations.

Results: The mean ± SD age at surgery was 66.6 ± 10.5 years, and the majority (80.8%) of patients were female. The 30-day and 90-day readmission rates were 11.7% and 15.3%, respectively. Multivariable regression for 30-day readmissions revealed that length of hospital stay (LOS) after index surgery of > 20 days (OR 2.48) and surgical factors such as vertebral column resection (VCR) (OR 4.26) and pelvic fixation (OR 4.38) were risk factors. Other factors such as the American Society of Anesthesiologists Physical Status Classification System (ASA) class, prior spine surgery, and age were not associated with 30-day readmissions. Ninety-day readmission was associated with high ASA class (OR 2.37) and LOS > 20 days (OR 2.82). The 30- and 90-day reoperation rates were 7.8% and 10.1%, respectively. The variables associated with 30-day reoperations were intraoperative VCR (OR 3.34) and LOS > 20 days (OR 9.38). Ninety-day reoperations were associated with dural tears (OR 3.33) and LOS > 20 days (OR 3.68).

Conclusions: This study provides valuable insights into the incidence of unintended readmission and reoperation within 30 and 90 days after ASD surgery in an Asian population. By identifying the associated risk factors, healthcare providers can customize surgical strategies and optimize perioperative care to effectively mitigate these events.