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全关节置换术中周围神经阻滞应用的社会经济、患者及医院决定因素

Socioeconomic, Patient, and Hospital Determinants for the Utilization of Peripheral Nerve Blocks in Total Joint Arthroplasty.

作者信息

Bonsel Joshua M, Kodali Hanish, Poeran Jashvant, Bonsel Gouke J

机构信息

From the Department of Orthopedics and Sports Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.

Department of Population Health and Policy, Icahn School of Medicine, Mount Sinai Hospital, New York, New York.

出版信息

Anesth Analg. 2025 Mar 1;140(3):675-686. doi: 10.1213/ANE.0000000000007107. Epub 2025 Feb 14.

DOI:10.1213/ANE.0000000000007107
PMID:39042570
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11805468/
Abstract

BACKGROUND

While peripheral nerve blocks (PNBs) are associated with various improved outcomes in patients undergoing total hip or knee arthroplasty (THA/TKA), disparities in PNB utilization have been reported. This study assessed the importance of socioeconomic, demographic, clinical, and hospital determinants in explaining PNB utilization using the population-attributable risk (PAR) framework. Subsequently, we examined the association between PNB use and 3 secondary outcomes: Centers for Medicare and Medicaid Services (CMS)-defined complications, 90-day all-cause readmissions, and length of stay >3 days.

METHODS

This retrospective cohort study included 52,926 THA and 94,795 TKA cases from the 5% 2012 to 2021 Medicare dataset. Mixed-effects logistic regression models measured the association between study variables and PNB utilization. Variables of interest were demographic (age, sex), clinical (outpatient setting, diagnosis, prior hospitalizations in the year before surgery, Deyo-Charlson index, obesity, (non)-opioid abuse, smoking), socioeconomic (neighborhood Social Deprivation Index, race and ethnicity) and hospital variables (beds, ownership, region, rurality, resident-to-bed ratio). The model was used for the calculation of variable-specific and variable category-specific PARs (presented in percentages), reflecting the proportion of variation in PNB use explained after eliminating variables (or groups of variables) of interest with all other factors held constant. Subsequently, regression models measured the association between PNB use and secondary outcomes. Associations are presented with odds ratios (ORs) and 95% confidence intervals (95% CIs).

RESULTS

Socioeconomic and demographic variables accounted for only a small proportion of variation in PNB use (up to 3% and 7%, respectively). Clinical (THA: 46%; TKA: 34%) and hospital variables (THA: 31%; TKA: 22%) were the primary drivers of variation. In THA, variation by clinical variables was driven by increased PNB use in the inpatient setting (OR, 1.28 [95% CI, 1.07-1.53]) and decreased use in patients with ≥2 prior hospitalizations (OR, 0.72 [95% CI, 0.57-0.90]). Moreover, nonosteoarthritis diagnoses associated with reduced PNB utilization in THA (OR, 0.64 [95% CI, 0.58-0.72]) and TKA (OR, 0.35 [95% CI, 0.34-0.37]).In TKA, PNB use was subsequently associated with fewer complications (OR, 0.82 [95% CI, 0.75-0.90]) and less prolonged length of stay (OR, 0.90 [95% CI, 0.86-0.95]); no association was found for readmissions (OR, 0.98 [95% CI, 0.93-1.03]). In THA, associations did not reach statistical significance.

CONCLUSIONS

Among THA and TKA patients on Medicare, large variations exist in the utilization of PNBs by clinical and hospital variables, while demographic and socioeconomic variables played a limited role. Given the consistent benefits of PNBs, particularly in TKA patients, more standardized provision may be warranted to mitigate the observed variation.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b57/11805468/4414ce5ca029/ane-140-675-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b57/11805468/4414ce5ca029/ane-140-675-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b57/11805468/4414ce5ca029/ane-140-675-g001.jpg
摘要

背景

虽然外周神经阻滞(PNB)与全髋关节或膝关节置换术(THA/TKA)患者的各种改善结局相关,但已有报道称PNB的使用存在差异。本研究使用人群归因风险(PAR)框架评估了社会经济、人口统计学、临床和医院因素在解释PNB使用情况方面的重要性。随后,我们研究了PNB使用与3个次要结局之间的关联:医疗保险和医疗补助服务中心(CMS)定义的并发症、90天全因再入院以及住院时间>3天。

方法

这项回顾性队列研究纳入了2012年至2021年医疗保险数据集5%中的52926例THA和94795例TKA病例。混合效应逻辑回归模型测量了研究变量与PNB使用之间的关联。感兴趣的变量包括人口统计学变量(年龄、性别)、临床变量(门诊环境、诊断、术前一年的既往住院情况、Deyo-Charlson指数、肥胖、(非)阿片类药物滥用、吸烟)、社会经济变量(邻里社会剥夺指数、种族和民族)以及医院变量(床位、所有权、地区、农村地区、住院患者与床位比)。该模型用于计算特定变量和特定变量类别的PAR(以百分比表示),反映在所有其他因素保持不变的情况下,消除感兴趣的变量(或变量组)后PNB使用变化中可解释的比例。随后,回归模型测量了PNB使用与次要结局之间的关联。关联以比值比(OR)和95%置信区间(95%CI)表示。

结果

社会经济和人口统计学变量仅占PNB使用变化的一小部分(分别高达3%和7%)。临床变量(THA:46%;TKA:34%)和医院变量(THA:31%;TKA:22%)是变化的主要驱动因素。在THA中,临床变量导致的变化是由住院环境中PNB使用增加(OR,1.28[95%CI,1.07 - 1.53])以及≥2次既往住院患者中使用减少(OR,0.72[95%CI,0.57 - 0.90])所驱动。此外,非骨关节炎诊断与THA(OR,0.64[95%CI,0.58 - 0.72])和TKA(OR,0.35[95%CI,0.34 - 0.37])中PNB使用减少相关。在TKA中,PNB使用随后与较少的并发症(OR,0.82[95%CI,0.75 - 0.90])和较短的住院时间延长(OR,0.90[95%CI,0.86 - 0.95])相关;未发现与再入院存在关联(OR,0.98[95%CI,0.93 - 1.03])。在THA中,关联未达到统计学意义。

结论

在医疗保险覆盖的THA和TKA患者中,临床和医院变量导致PNB使用存在很大差异,而人口统计学和社会经济变量的作用有限。鉴于PNB具有一致的益处,特别是在TKA患者中,可能需要更标准化的应用以减轻观察到的差异。

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