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Surgeon input can increase the value of registry data: early experience from the American Spine Registry

Steven D. Glassman Norton Leatherman Spine Center, Louisville, Kentucky;

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Leah Y. Carreon Norton Leatherman Spine Center, Louisville, Kentucky;

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Anthony L. Asher Department of Neurological Surgery, Carolina Neurosurgery and Spine Associates and Neurological Institute, Carolinas Healthcare System, Charlotte, North Carolina;

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Ayushmita De American Academy of Orthopaedic Surgeons, Rosemont, Illinois;

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Kyle Mullen American Academy of Orthopaedic Surgeons, Rosemont, Illinois;

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Kimberly R. Porter American Academy of Orthopaedic Surgeons, Rosemont, Illinois;

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Christopher I. Shaffrey Department of Neurological Surgery, Duke University Medical Center, Durham, North Carolina;

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John J. Knightly Department of Neurosurgery, Atlantic Neurosurgical Specialists, Morristown, New Jersey;

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Kevin T. Foley Department of Neurosurgery, University of Tennessee Health Sciences Center, Semmes-Murphey Neurologic & Spine Institute, Memphis, Tennessee;

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Todd J. Albert Hospital for Special Surgery, New York, New York;

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Darrel S. Brodke Department of Orthopaedics, University of Utah School of Medicine, Salt Lake City, Utah;

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David W. Polly Jr. Department of Orthopaedic Surgery, University of Minnesota, Minneapolis, Minnesota; and

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Mohamad Bydon Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota

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OBJECTIVE

Clear diagnostic delineation is necessary for the development of a strong evidence base in lumbar spinal surgery. Experience with existing national databases suggests thatInternational Classification of Diseases, Tenth Edition(ICD-10) coding is insufficient to support that need. The purpose of this study was to assess agreement between surgeon-specified diagnostic indication and hospital-reported ICD-10 codes for lumbar spine surgery.

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Data collection for the American Spine Registry (ASR) includes an option to denote the surgeon’s specific diagnostic indication for each procedure. For cases treated between January 2020 and March 2022, surgeon-delineated diagnosis was compared with the ICD-10 diagnosis generated by standard ASR electronic medical record data extraction. For decompression-only cases, the primary analysis focused on the etiology of neural compression as determined by the surgeon versus that determined on the basis of the related ICD-10 codes extracted from the ASR database. For lumbar fusion cases, the primary analysis compared structural pathology, which may have required fusion, as determined by the surgeon versus that determined on the basis of the extracted ICD-10 codes. This allowed for identification of agreement between surgeon delineation and extracted ICD-10 codes.

RESULTS

In 5926 decompression-only cases, agreement between the surgeon and ASR ICD-10 codes was 89% for spinal stenosis and 78% for lumbar disc herniation and/or radiculopathy. Both the surgeon and database indicated no structural pathology (i.e., none) suggesting the need for fusion in 88% of cases. In 5663 lumbar fusion cases, agreement was 76% for spondylolisthesis but poor for other diagnostic indications.

CONCLUSIONS

Agreement between surgeon-specified diagnostic indication and hospital-reported ICD-10 codes was best for patients who underwent decompression only. In the fusion cases, agreement with ICD-10 codes was best in the spondylolisthesis group (76%). In cases other than spondylolisthesis, agreement was poor due to multiple diagnoses or lack of an ICD-10 code that reflected the pathology. This study suggested that standard ICD-10 codes may be inadequate to clearly define the indications for decompression or fusion in patients with lumbar degenerative disease.

ABBREVIATIONS

ASR = American Spine Registry ; EMR = electronic medical record ; ICD-10 = International Classification of Diseases, Tenth Edition ; LDH = lumbar disc herniation ; OR = operating room .
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