Comparative Analysis of Postoperative Outcomes in Type 1 Versus Type 2 Diabetes Mellitus Patients Undergoing Spinal Fusion

Background: Spine surgery in diabetic patients presents unique challenges due to impaired healing and metabolic dysfunction. While diabetes is a known risk factor for adverse surgical outcomes, limited data exist comparing complications between type 1 (T1DM) and type 2 diabetes mellitus (T2DM). This study evaluates postoperative outcomes in patients with T1DM versus T2DM undergoing spinal arthrodesis. Materials and Methods: Retrospective cohort analysis was performed using the TriNetX national health research network. Diabetes subtypes were identified using ICD-10 codes and medication profiles. A total of 1261 propensity score-matched patients in each cohort were identified after controlling for demographics, comorbidities, and diabetic severity. A subgroup analysis was performed with 467 cervical and 257 lumbar propensity score-matched pairs. The study analyzed outcomes occurring within 1 year postsurgery including infection, readmission, reoperation, fracture, gait abnormality, muscle weakness/sarcopenia, dorsalgia, and all-cause mortality. Statistical measures included risk differences, risk ratios, odds ratios, and survival analysis. Results: Patients with T1DM exhibited a signifqqicantly higher postoperative infection risk (3.4% vs . 1.2%, P < 0.001; HR: 2.88), spinal fracture risk (3.9% vs . 2.0%, P = 0.008; HR: 2.02), readmission rate (39.0% vs . 11.0%, P < 0.001; HR: 4.19), and reoperation rate (7.6% vs . 2.6%, P < 0.001; HR: 3.04) within 1 year as compared with T2DM. T1DM patients were found to have significantly elevated risk of readmission for both the cervical (28.5% vs . 6.8%; P < 0.001) and lumbar (31.9% vs . 15.0%; P < 0.001) subgroups. One-year all-cause mortality risk remained significantly greater for T1DM as compared with T2DM in cervical (6.2% vs . 2.6%; P = 0.014) and lumbar (5.8% vs . 3.9%; P = 0.009) fusions. Conclusions: T1DM is associated with a greater risk of postoperative infections, readmissions, fractures, gait abnormalities, and reoperations within 1 year postoperatively compared with T2DM. This is more pronounced in larger, multilevel surgeries, while readmission and all-cause mortality remain significant in isolated cervical and lumbar fusion. These findings underscore the need for further mechanistic investigation and tailored perioperative management strategies in diabetic patients undergoing spine surgery to mitigate risks and improve outcomes.

Authors

Institutions

Publication Details

Journal
Spine Open
Published
2025-08-22
DOI
https://doi.org/10.1097/bn9.0000000000000005
Citations
1
Primary Topic
Pain Management and Opioid Use
Type
article
Field-Weighted Citation Impact
2.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Analysis of Postoperative Outcomes in Type 1 Versus Type 2 Diabetes Mellitus Patients Undergoing Spinal Fusion

Nicholas Matthew Bernthal, Christopher David Hamad, Thomas E. Olson, Ashley L. Walker et al.
1 citations
Spine Open
Pain Management and Opioid Use
2.19
article

Comparative Analysis of Postoperative Outcomes in Type 1 Versus Type 2 Diabetes Mellitus Patients Undergoing Spinal Fusion

Nicholas Matthew Bernthal, Christopher David Hamad, Thomas E. Olson, Ashley L. Walker, William L. Sheppard, Joshua Wiener, Autreen Golzar, John S. Adams, Dominic W. Pelle, Trevor Lloyd, Rene F. Chun, Alex Upfill-Brown
article en
1 citations

Abstract

Background: Spine surgery in diabetic patients presents unique challenges due to impaired healing and metabolic dysfunction. While diabetes is a known risk factor for adverse surgical outcomes, limited data exist comparing complications between type 1 (T1DM) and type 2 diabetes mellitus (T2DM). This study evaluates postoperative outcomes in patients with T1DM versus T2DM undergoing spinal arthrodesis. Materials and Methods: Retrospective cohort analysis was performed using the TriNetX national health research network. Diabetes subtypes were identified using ICD-10 codes and medication profiles. A total of 1261 propensity score-matched patients in each cohort were identified after controlling for demographics, comorbidities, and diabetic severity. A subgroup analysis was performed with 467 cervical and 257 lumbar propensity score-matched pairs. The study analyzed outcomes occurring within 1 year postsurgery including infection, readmission, reoperation, fracture, gait abnormality, muscle weakness/sarcopenia, dorsalgia, and all-cause mortality. Statistical measures included risk differences, risk ratios, odds ratios, and survival analysis. Results: Patients with T1DM exhibited a signifqqicantly higher postoperative infection risk (3.4% vs . 1.2%, P < 0.001; HR: 2.88), spinal fracture risk (3.9% vs . 2.0%, P = 0.008; HR: 2.02), readmission rate (39.0% vs . 11.0%, P < 0.001; HR: 4.19), and reoperation rate (7.6% vs . 2.6%, P < 0.001; HR: 3.04) within 1 year as compared with T2DM. T1DM patients were found to have significantly elevated risk of readmission for both the cervical (28.5% vs . 6.8%; P < 0.001) and lumbar (31.9% vs . 15.0%; P < 0.001) subgroups. One-year all-cause mortality risk remained significantly greater for T1DM as compared with T2DM in cervical (6.2% vs . 2.6%; P = 0.014) and lumbar (5.8% vs . 3.9%; P = 0.009) fusions. Conclusions: T1DM is associated with a greater risk of postoperative infections, readmissions, fractures, gait abnormalities, and reoperations within 1 year postoperatively compared with T2DM. This is more pronounced in larger, multilevel surgeries, while readmission and all-cause mortality remain significant in isolated cervical and lumbar fusion. These findings underscore the need for further mechanistic investigation and tailored perioperative management strategies in diabetic patients undergoing spine surgery to mitigate risks and improve outcomes.

Spine OpenVol. 1(1)
Cleveland Clinic (US), Sheppard and Enoch Pratt Hospital (US), University School (US), Case Western Reserve University (US), University of California, Davis (US)
Openalex Percentile: Top 12%
Pain Management and Opioid Use
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.