Suppr超能文献

社会脆弱性指数在评估择期腰椎融合术后结果时,比区域剥夺指数提供了更高的粒度。

Social Vulnerability Index Provides Greater Granularity Compared With the Area Deprivation Index When Assessing Outcomes Following Elective Lumbar Fusion.

机构信息

Department of Orthopaedics and Physical Performance, University of Rochester Medical Center, Rochester, NY.

出版信息

Spine (Phila Pa 1976). 2024 Dec 1;49(23):1676-1684. doi: 10.1097/BRS.0000000000005089. Epub 2024 Jul 15.

Abstract

STUDY DESIGN

Retrospective review of a single institution cohort.

OBJECTIVE

To determine whether area deprivation index (ADI) or social vulnerability index (SVI) is more suitable for evaluating minimum clinically important difference (MCID) achievement following elective lumbar fusion as captured by the Patient-Reported Outcomes Measurement Information System (PROMIS).

SUMMARY OF BACKGROUND DATA

A total of 182 patients who underwent elective one-level to two-level posterior lumbar fusion between January 2015 and September 2021.

MATERIALS AND METHODS

ADI and SVI values were calculated from patient-supplied addresses. Patients were grouped into quartiles based on values; higher quartiles represented greater disadvantage. MCID thresholds for Pain Interference (PI) and Physical Function (PF) were determined through a distribution-based method. Multivariable logistic regression was performed to identify factors impacting MCID attainment. Univariate logistic regression was performed to determine which themes comprising SVI values affected MCID achievement. Statistical significance was set at P <0.05.

RESULTS

Multivariable logistic regression demonstrated that ADI and SVI quartile assignment significantly impacted achievement of MCID for PI ( P =0.04 and 0.01, respectively) and PF ( P =0.03 and 0.02, respectively). Specifically, assignment to the third ADI and SVI quartiles were significant for PI (OR: 0.39 and 0.23, respectively), and PF (OR: 0.24 and 0.22, respectively). Race was not a significant predictor of MCID for either PI or PF. Univariate logistic regression demonstrated that among SVI themes, the socioeconomic status theme significantly affected achievement of MCID for PI ( P =0.01), while the housing type and transportation theme significantly affected achievement of MCID for PF ( P =0.01).

CONCLUSION

ADI and SVI quartile assignment were predictors of MCID achievement. While ADI and SVI may both identify patients at risk for adverse outcomes following lumbar fusion, SVI offers greater granularity in terms of isolating themes of disadvantage impacting MCID achievement.

摘要

研究设计

单中心回顾性队列研究。

目的

确定区域贫困指数(ADI)或社会脆弱性指数(SVI)在多大程度上更适合评估通过患者报告的结果测量信息系统(PROMIS)评估的择期腰椎融合术后的最小临床重要差异(MCID)实现。

背景资料总结

共有 182 例患者于 2015 年 1 月至 2021 年 9 月期间接受了一到两阶段的后路腰椎融合术。

材料和方法

ADI 和 SVI 值是根据患者提供的地址计算得出的。根据这些值将患者分为四组;较高的四分位数表示更大的劣势。通过基于分布的方法确定疼痛干扰(PI)和身体功能(PF)的 MCID 阈值。采用多变量逻辑回归确定影响 MCID 实现的因素。采用单变量逻辑回归确定构成 SVI 值的主题中哪些影响 MCID 实现。统计显著性设置为 P <0.05。

结果

多变量逻辑回归表明,ADI 和 SVI 四分位数赋值对 PI(P =0.04 和 0.01)和 PF(P =0.03 和 0.02)的 MCID 实现有显著影响。具体来说,第 3 个 ADI 和 SVI 四分位数赋值对 PI(OR:0.39 和 0.23)和 PF(OR:0.24 和 0.22)有显著影响。种族不是 PI 或 PF 的 MCID 的显著预测因子。单变量逻辑回归表明,在 SVI 主题中,社会经济地位主题对 PI 的 MCID 实现有显著影响(P =0.01),而住房类型和交通主题对 PF 的 MCID 实现有显著影响(P =0.01)。

结论

ADI 和 SVI 四分位数赋值是 MCID 实现的预测因子。虽然 ADI 和 SVI 都可以识别腰椎融合术后发生不良结局的风险患者,但 SVI 提供了更大的粒度,可以隔离影响 MCID 实现的劣势主题。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验