Leveraging HFRS to assess how frailty affects healthcare resource utilization after elective ACDF for CSM
- PMID: 35988878
- DOI: 10.1016/j.spinee.2022.08.004
Leveraging HFRS to assess how frailty affects healthcare resource utilization after elective ACDF for CSM
Abstract
Background context: Frailty is a common comorbidity associated with worsening outcomes in various medical and surgical fields. The Hospital Frailty Risk Score (HFRS) is a recently developed tool which assesses frailty using 109 International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) comorbidity codes to assess severity of frailty. However, there is a paucity of studies utilizing the HFRS with patients undergoing anterior cervical discectomy and fusion (ACDF) for cervical spondylotic myelopathy (CSM).
Purpose: The aim of this study was to investigate the impact of HFRS on health care resource utilization following ACDF for CSM.
Study design: A retrospective cohort study was performed using the Nationwide Inpatient Sample (NIS) database from 2016-2019.
Patient sample: All adult (≥18 years old) patients undergoing primary, ACDF for CSM were identified using the ICD-10 CM codes.
Outcome measures: Weighted patient demographics, comorbidities, perioperative complications, LOS, discharge disposition, and total admission costs were assessed.
Methods: The 109 ICD-10 codes with pre-assigned values from 0.1 to 7.1 pertaining to frailty were queried in each patient, with a cumulative HFRS ≥5 indicating a frail patient. Patients were then categorized as either Low HFRS (HFRS<5) or Moderate to High HFRS (HFRS≥5). A multivariate stepwise logistic regression was used to determine the odds ratio for risk-adjusted extended LOS, non-routine discharge disposition, and increased hospital cost.
Results: A total of 29,305 patients were identified, of which 3,135 (10.7%) had a Moderate to High HFRS. Patients with a Moderate to High HFRS had higher rates of 1 or more postoperative complications (Low HFRS: 9.5% vs. Moderate-High HFRS: 38.6%, p≤.001), significantly longer hospital stays (Low HFRS: 1.8±1.7 days vs. Moderate-High HFRS: 4.4 ± 6.0, p≤.001), higher rates of non-routine discharge (Low HFRS: 5.8% vs. Moderate-High HFRS: 28.2%, p≤.001), and increased total cost of admission (Low HFRS: $19,691±9,740 vs. Moderate-High HFRS: $26,935±22,824, p≤.001) than patients in the Low HFRS cohort. On multivariate analysis, Moderate to High HFRS was found to be a significant independent predictor for extended LOS [OR: 3.19, 95% CI: (2.60, 3.91), p≤.001] and non-routine discharge disposition [OR: 3.88, 95% CI: (3.05, 4.95), p≤.001] but not increased cost [OR: 1.10, 95% CI: (0.87, 1.40), p=.418].
Conclusions: Our study suggests that patients with a higher HFRS have increased total hospital costs, a longer LOS, higher complication rates, and more frequent nonroutine discharge compared with patients with a low HFRS following elective ACDF for CSM. Although frail patients should not be precluded from surgical management of cervical spine pathology, these findings highlight the need for peri-operative protocols to medically optimize patients to improve health care quality and decrease costs.
Keywords: Anterior cervical discectomy and fusion; Cervical spondylotic myelopathy; Complication rates; Discharge disposition; Frailty; Healthcare resource utilization; Hospital costs; Length of hospital stay.
Copyright © 2022 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declarations of competing interests One or more of the authors declare financial or professional relationships on ICMJE-NASSJ disclosure forms.
Comment in
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Reply to the letter to the editor regarding "HFRS in patients undergoing ACDF for CSM".Spine J. 2023 Jan;23(1):181. doi: 10.1016/j.spinee.2022.09.006. Epub 2022 Oct 1. Spine J. 2023. PMID: 36191893 No abstract available.
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Letter to the editor regarding "Leveraging HFRS to Assess How Frailty Affects Health Care Resource Utilization after Elective ACDF for CSM".Spine J. 2023 Jan;23(1):178-180. doi: 10.1016/j.spinee.2022.09.002. Spine J. 2023. PMID: 36517199 No abstract available.
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