Introduction
Evidence & Methods
Many studies have maintained that diabetes has an adverse influence on outcomes following spine surgery. The authors hypothesize that this chronic condition likely has a variegated effect that may worsen with time. Using a large national registry, the authors performed a longitudinal retrospective study (5-year follow-up) to assess the impact of diabetes on results following lumbar spine surgery.
This was a retrospective review of nearly 35,000 patients who underwent lumbar spine surgery in 2003. Nearly a quarter of lumbar fusion patients had diabetes while 1/5 of patients treated with stand-alone decompression were diabetic. The authors found that diabetes did not alter the need for reoperation in the early post-operative period. Subsequent to that, elevations in the need for further surgery were encountered among diabetics in the stand-alone decompression group only.
This study presents novel findings regarding the influence of diabetes on longitudinal outcomes following lumbar spine surgery. As a retrospective study using a national registry, this work is subject to selection and indication bias for the primary intervention as well as the need for revision surgery. The study set is also likely insufficiently granular for the purposes of determining the etiology behind the need for revision and the direct role that aspects of diabetes management (eg poor glycemic control) may have played in influencing such outcomes. It is interesting that diabetic patients treated with fusion had a decreased need for revision surgery, as compared to patients treated with stand-alone decompression. This may be more reflective of surgeons’ willingness to perform revision procedures, rather than a de novo effect of the diabetic condition itself. Further investigation is necessary along these lines.
—The Editors
Degenerative lumbar spine disease is a common spinal disorder, and surgical treatment is considered for medically intractable patients [1], [2], [3], [4], [5]; however, the surgical outcome is sometimes unpredictable because of comorbidities. Diabetes is a comorbidity that is known to be associated with a poor outcome after spine surgery, and it was found in 5% to 20% of patients undergoing spine surgeries [6], [7], [8], [9]. Diabetes is a known risk factor for reoperation that increases the complication rate (such as surgical site infection or nonunion) and promotes spinal stenosis/disc degeneration, and coexisting diabetic neuropathy or radiculopathy renders poor functional recovery [4], [8], [10], [11], [12], [13], [14], [15], [16], [17].
Reoperation after spinal surgery is a major issue for both patients and doctors. The causes of reoperation, such as infection, failure of the initial surgery, or the development of a new problem unrelated to the initial surgery, are multifactorial [7], [18]. Considering the high incidence and chronicity of diabetes, it is important to understand the relationship between diabetes and the rate of reoperation after spine surgery over time.
Population-based studies are less subject to selection or nonresponse biases than case series studies. Moreover, these studies do not omit reoperation events and have high statistical power, making it possible to compare outcomes between groups [4]. All Korean citizens are beneficiaries of the Korean national health insurance system [16], [19], and all the nationwide inpatient and outpatient data on diseases and services (procedures and operations) are coded and registered in the Korean National Health Insurance Corporation and Health Insurance Review & Assessment Service (HIRA) database [16], [19]. In addition, individual patients can be followed through the use of their unique resident registration number, thereby making longitudinal analyses possible. The primary aim of the present study was to determine the relationship between diabetes and the incidence of reoperation over time. To the best of our knowledge, this is the first longitudinal study to analyze the relationship between diabetes and the reoperation rate after spinal surgery using nationwide population-based data.