脊柱肿瘤手术中健康的社会决定因素和结果差异。第一部分:对全国 660 万例住院病例的分析。

IF 2.9 2区 医学 Q2 CLINICAL NEUROLOGY
Journal of neurosurgery. Spine Pub Date : 2024-08-30 Print Date: 2024-12-01 DOI:10.3171/2024.5.SPINE231081
Oliver Y Tang, Cameron Ayala, Joshua R Feler, Rahul A Sastry, Ankush I Bajaj, Krissia M Rivera Perla, Arjun Ganga, Owen P Leary, Silas Monje, Joseph Madour, Deus J Cielo, Adetokunbo A Oyelese, Jared S Fridley, Steven A Toms, Ziya L Gokaslan, Patricia L Zadnik Sullivan
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引用次数: 0

摘要

目的:早前的研究表明,健康的社会决定因素(SDoH)会影响神经外科手术的入院率和预后,但相对于颅内肿瘤而言,脊柱肿瘤的这些趋势还不太明显。作者旨在阐明全国脊柱肿瘤手术入院者队列中 SDoH 与预后之间的关联:作者从 2002 年到 2019 年的全国住院患者样本(NIS)中确定了所有诊断为脊柱肿瘤的入院患者。分析了四项 SDoH:种族和民族、保险、家庭收入和安全网医院(SNH)治疗。处于安全网负担前四分之一的医院(按接受医疗补助或无保险的患者比例计算)被归类为 SNH。多变量回归分析了 22 个变量与 5 项围手术期结果之间的关系:死亡率、出院处置、并发症、住院时间(LOS)和住院费用。与住院年份的交互项分析用于评估结果差异的纵向变化。最后,作者构建了随机森林机器学习模型,以评估 SDoH 变量对预后准确性的影响,并量化出院处置预测因素的相对重要性:在6,593,392名脊柱肿瘤患者中,有219,380人(3.3%)接受了手术治疗。非白人种族(OR 0.80-0.91,P < 0.001)和非私人保险(OR 0.76-0.83,P < 0.001)与接受手术的几率较低有关。在手术入院患者中,非白人、无私人保险和低收入入院患者的病情严重程度(包括脊髓病和截瘫)较高(均 p < 0.001)。黑人(OR 0.70,P<0.001)、医疗保险(OR 0.70,P<0.001)、医疗补助(OR 0.90,P<0.001)和低收入(OR 0.88-0.93,P<0.001)与良好出院处置几率下降有关。非白种人(住院时间增加 6%-10%,费用增加 5%-9%,均 p <0.001)和医疗补助(住院时间增加 16%,费用增加 6%,均 p <0.001)患者的住院时间和费用均有所增加。SNH 治疗还与较高的死亡率(OR 1.49,p < 0.001)和并发症(OR 1.20,p < 0.001)相关。从 2002 年到 2019 年,医疗补助患者的处置每年都有所改善(OR 每年 1.03,p = 0.022),但黑人患者的处置则有所恶化(OR 每年 0.98,p = 0.046)。随机森林模型确定家庭收入是出院处置的最重要预测因素:结论:对于脊柱肿瘤患者,SDoH 预测了手术干预、病情严重程度和围手术期结果。二十年来,医疗补助患者的差异有所改善,但黑人患者的差异有所恶化。最后,SDoH大大提高了脊柱肿瘤术后预后的准确性。有必要进一步研究如何改善这一人群的患者差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social determinants of health and outcome disparities in spine tumor surgery. Part 1: An analysis of 6.6 million nationwide admissions.

Objective: Earlier research has demonstrated that social determinants of health (SDoH) impact neurosurgical access and outcomes, but these trends are less characterized for spine tumors relative to intracranial tumors. The authors aimed to elucidate the association between SDoH and outcomes for a nationwide cohort of spine tumor surgery admissions.

Methods: The authors identified all admissions with a spine tumor diagnosis in the National Inpatient Sample (NIS) from 2002 to 2019. Four SDoH were analyzed: race and ethnicity, insurance, household income, and safety-net hospital (SNH) treatment. Hospitals in the top quartile of safety-net burden (in terms of percentage of patients receiving Medicaid or uninsured) were categorized as SNHs. Multivariable regression queried the association between 22 variables and 5 perioperative outcomes: mortality, discharge disposition, complications, length of stay (LOS), and hospitalization costs. Interaction term analysis with hospitalization year was used to assess longitudinal changes in outcome disparities. Finally, the authors constructed random forest machine learning models to assess the impact of SDoH variables on prognostic accuracy and to quantify the relative importance of predictors for disposition.

Results: Of 6,593,392 total admissions with spine tumors, 219,380 (3.3%) underwent surgery. Non-White race (OR 0.80-0.91, p < 0.001) and nonprivate insurance (OR 0.76-0.83, p < 0.001) were associated with lower odds of receiving surgery. Among surgical admissions, presenting severity, including of myelopathy and plegia, was elevated among non-White, nonprivate insurance, and low-income admissions (all p < 0.001). Black race (OR 0.70, p < 0.001), Medicare (OR 0.70, p < 0.001), Medicaid (OR 0.90, p < 0.001), and lower income (OR 0.88-0.93, all p < 0.001) were associated with decreased odds of favorable discharge disposition. Increased LOS and costs were observed among non-White (+6%-10% in LOS and +5%-9% in costs, both p < 0.001) and Medicaid (+16% in LOS and +6% in costs, both p < 0.001) admissions. SNH treatment was also associated with higher mortality (OR 1.49, p < 0.001) and complication (OR 1.20, p < 0.001) rates. From 2002 to 2019, disposition improved annually for Medicaid patients (OR 1.03 per year, p = 0.022) but worsened for Black patients (OR 0.98 per year, p = 0.046). Random forest models identified household income as the most important predictor of discharge disposition.

Conclusions: For spine tumor admissions, SDoH predicted surgical intervention, presenting severity, and perioperative outcomes. Over 2 decades, disparities improved for Medicaid patients but worsened for Black patients. Finally, SDoH significantly improve prognostic accuracy for outcomes after spine tumor surgery. Further study toward ameliorating patient disparities for this population is warranted.

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来源期刊
Journal of neurosurgery. Spine
Journal of neurosurgery. Spine 医学-临床神经学
CiteScore
5.10
自引率
10.70%
发文量
396
审稿时长
6 months
期刊介绍: Primarily publish original works in neurosurgery but also include studies in clinical neurophysiology, organic neurology, ophthalmology, radiology, pathology, and molecular biology.
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