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健康的社会决定因素与脊柱肿瘤手术结果的差异。第 1 部分:对全国 660 万例住院患者的分析。

Social determinants of health and outcome disparities in spine tumor surgery. Part 1: An analysis of 6.6 million nationwide admissions.

机构信息

1Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island.

2Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and.

出版信息

J Neurosurg Spine. 2024 Aug 30;41(6):677-688. doi: 10.3171/2024.5.SPINE231081. Print 2024 Dec 1.

DOI:10.3171/2024.5.SPINE231081
PMID:39213677
Abstract

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.

摘要

目的

早期研究表明,健康的社会决定因素(SDoH)会影响神经外科的可及性和结果,但相对于颅内肿瘤,脊柱肿瘤的这些趋势的特征描述较少。作者旨在阐明全国脊柱肿瘤手术入院患者社会决定因素与结果之间的关联。

方法

作者从 2002 年至 2019 年在国家住院患者样本(NIS)中确定了所有脊柱肿瘤诊断的入院患者。分析了四个 SDoH:种族和民族、保险、家庭收入和安全网医院(SNH)治疗。将安全网负担(以接受医疗补助或无保险的患者比例衡量)排名前四分之一的医院归类为 SNH。多变量回归询问了 22 个变量与 5 个围手术期结果之间的关联:死亡率、出院安置、并发症、住院时间(LOS)和住院费用。使用住院年份的交互项分析来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来评估 SDoH 变量对预后准确性的影响,并量化预测因子对处置的相对重要性。

结果

在 6593392 例脊柱肿瘤总入院患者中,有 219380 例(3.3%)接受了手术。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)与接受手术的可能性较低相关。在接受手术的入院患者中,非白人、非私人保险和低收入患者的就诊严重程度(包括脊髓病和截瘫)升高(均 p < 0.001)。黑人种族(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)和较低收入(OR 0.88-0.93,均 p < 0.001)与不良出院安置的可能性降低相关。非白人(LOS 增加 6%-10%,费用增加 5%-9%,均 p < 0.001)和医疗补助(LOS 增加 16%,费用增加 6%,均 p < 0.001)入院患者的 LOS 和费用均增加。SNH 治疗也与更高的死亡率(OR 1.49,p < 0.001)和并发症(OR 1.20,p < 0.001)发生率相关。从 2002 年到 2019 年,医疗补助患者的治疗效果每年都有所改善(OR 1.03/年,p = 0.022),但黑人患者的治疗效果每年都在恶化(OR 0.98/年,p = 0.046)。随机森林模型确定家庭收入是出院安置的最重要预测因子。

结论

对于脊柱肿瘤入院患者,SDoH 预测手术干预、就诊严重程度和围手术期结果。在过去 20 年中,医疗补助患者的差距有所改善,但黑人患者的差距有所恶化。最后,SDoH 显著提高了脊柱肿瘤手术后结果的预后准确性。需要进一步研究以改善该人群的患者差异。

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