Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Dec;20(4):1337-1345.
doi: 10.14245/ns.2346840.420. Epub 2023 Dec 31.

A Predictive Model of Failure to Rescue After Thoracolumbar Fusion

Affiliations

A Predictive Model of Failure to Rescue After Thoracolumbar Fusion

Joanna M Roy et al. Neurospine. 2023 Dec.

Abstract

Objective: Although failure to rescue (FTR) has been utilized as a quality-improvement metric in several surgical specialties, its current utilization in spine surgery is limited. Our study aims to identify the patient characteristics that are independent predictors of FTR among thoracolumbar fusion (TLF) patients.

Methods: Patients who underwent TLF were identified using relevant diagnostic and procedural codes from the National Surgical Quality Improvement Program (NSQIP) database from 2011-2020. Frailty was assessed using the risk analysis index (RAI). FTR was defined as death, within 30 days, following a major complication. Univariate and multivariable analyses were used to compare baseline characteristics and early postoperative sequelae across FTR and non-FTR cohorts. Receiver operating characteristic (ROC) curve analysis was used to assess the discriminatory accuracy of the frailty-driven predictive model for FTR.

Results: The study cohort (N = 15,749) had a median age of 66 years (interquartile range, 15 years). Increasing frailty, as measured by the RAI, was associated with an increased likelihood of FTR: odds ratio (95% confidence interval [CI]) is RAI 21-25, 1.3 [0.8-2.2]; RAI 26-30, 4.0 [2.4-6.6]; RAI 31-35, 7.0 [3.8-12.7]; RAI 36-40, 10.0 [4.9-20.2]; RAI 41- 45, 21.5 [9.1-50.6]; RAI ≥ 46, 45.8 [14.8-141.5]. The frailty-driven predictive model for FTR demonstrated outstanding discriminatory accuracy (C-statistic = 0.92; CI, 0.89-0.95).

Conclusion: Baseline frailty, as stratified by type of postoperative complication, predicts FTR with outstanding discriminatory accuracy in TLF patients. This frailty-driven model may inform patients and clinicians of FTR risk following TLF and help guide postoperative care after a major complication.

Keywords: Frailty; NSQIP; Outcomes; Risk analysis index; Spine surgery; Thoracolumbar fusion.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest

The authors have nothing to disclose.

Figures

Fig. 1.
Fig. 1.
Receiver operating characteristic (ROC) curve for the multivariable predictive model on the primary outcome, failure to rescue, American College of Surgeons-National Surgical Quality Improvement Program 2011–2020.

Comment in

References

    1. Reisener MJ, Pumberger M, Shue J, et al. Trends in lumbar spinal fusion—a literature review. J Spine Surg. 2020;6:752–61. - PMC - PubMed
    1. Thirumala P, Zhou J, Natarajan P, et al. Perioperative neurologic complications during spinal fusion surgery: incidence and trends. Spine J. 2017;17:1611–24. - PubMed
    1. Gephart MG, Zygourakis CC, Arrigo RT, et al. Venous thromboembolism after thoracic/thoracolumbar spinal fusion. World Neurosurg. 2012;78:545–52. - PubMed
    1. Silber JH, Williams SV, Krakauer H, et al. Hospital and patient characteristics associated with death after surgery. A study of adverse occurrence and failure to rescue. Med Care. 1992;30:615–29. - PubMed
    1. Scali ST, Giles KA, Kubilis P, et al. Impact of hospital volume on patient safety indicators and failure to rescue following open aortic aneurysm repair. J Vasc Surg. 2020;71:1135–46.e4. - PubMed

LinkOut - more resources