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影响肢体严重缺血患者截肢的社会经济学及医院相关因素分析。

Socioeconomic and hospital-related predictors of amputation for critical limb ischemia.

机构信息

Division of Vascular and Endovascular Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass 02115, USA.

出版信息

J Vasc Surg. 2011 Feb;53(2):330-9.e1. doi: 10.1016/j.jvs.2010.08.077. Epub 2010 Dec 15.

Abstract

OBJECTIVE

Disparities in limb salvage procedures may be driven by socioeconomic status (SES) and access to high-volume hospitals. We sought to identify SES factors associated with major amputation in the setting of critical limb ischemia (CLI).

METHODS

The 2003-2007 Nationwide Inpatient Sample was queried for discharges containing lower extremity revascularization (LER) or major amputation and chronic CLI (N = 958,120). The Elixhauser method was used to adjust for comorbidities. Significant predictors in bivariate logistic regression were entered into a multivariate logistic regression for the dependent variable of amputation vs LER.

RESULTS

Overall, 24.2% of CLI patients underwent amputation. Significant differences were seen between both groups in bivariate and multivariate analysis of SES factors, including race, income, and insurance status. Lower-income patients were more likely to be treated at low-LER-volume institutions (odds ratio [OR], 1.74; P < .001). Patients at higher-LER-volume centers (OR, 15.16; P <.001) admitted electively (OR, 2.19; P < .001) and evaluated with diagnostic imaging (OR, 10.63; P < .001) were more likely to receive LER.

CONCLUSIONS

After controlling for comorbidities, minority patients, those with lower SES, and patients with Medicaid were more likely receive amputation for CLI in low-volume hospitals. Addressing SES and hospital factors may reduce amputation rates for CLI.

摘要

目的

肢体保全手术的差异可能由社会经济地位(SES)和获得高容量医院的机会驱动。我们旨在确定与严重肢体缺血(CLI)情况下主要截肢相关的 SES 因素。

方法

在 2003-2007 年全国住院患者样本中,对包含下肢血运重建(LER)或主要截肢和慢性 CLI 的出院患者进行了查询(N=958120)。使用 Elixhauser 方法调整了合并症。在二元逻辑回归中的显著预测因子被输入到多元逻辑回归中,作为截肢与 LER 的因变量。

结果

总体而言,24.2%的 CLI 患者接受了截肢。在 SES 因素的二元和多元分析中,两组之间存在显著差异,包括种族、收入和保险状况。低收入患者更有可能在低 LER 容量机构接受治疗(比值比 [OR],1.74;P<.001)。在高 LER 容量中心就诊的患者(OR,15.16;P<.001)、择期就诊(OR,2.19;P<.001)和接受诊断性影像学检查(OR,10.63;P<.001)的患者更有可能接受 LER。

结论

在控制了合并症后,少数民族患者、SES 较低的患者和 Medicaid 患者在低容量医院更有可能因 CLI 接受截肢。解决 SES 和医院因素可能会降低 CLI 的截肢率。

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