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成人创伤后住院死亡率的社会经济差异。

Socioeconomic disparity in inpatient mortality after traumatic injury in adults.

机构信息

Center for Surgical Trials and Outcomes Research, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

出版信息

Surgery. 2013 Sep;154(3):461-7. doi: 10.1016/j.surg.2013.05.036.

DOI:10.1016/j.surg.2013.05.036
PMID:23972652
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3989530/
Abstract

BACKGROUND

Prior studies have demonstrated that race and insurance status predict inpatient trauma mortality, but have been limited by their inability to adjust for direct measures of socioeconomic status (SES) and comorbidities. Our study aimed to identify whether a relationship exists between SES and inpatient trauma mortality after adjusting for known confounders.

METHODS

Trauma patients aged 18-65 years with an Injury Severity Scores (ISS) of ≥9 were identified using the 2003-2009 Nationwide Inpatient Sample. Median household income (MHI) by zip code, available by quartiles, was used to measure SES. Multiple logistic regression analyses were performed to determine odds of inpatient mortality by MHI quartile, adjusting for ISS, type of injury, comorbidities, and patient demographics.

RESULTS

In all, 267,621 patients met inclusion criteria. Patients in lower wealth quartiles had significantly greater unadjusted inpatient mortality compared with the wealthiest quartile. Adjusted odds of death were also higher compared with the wealthiest quartile for Q1 (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.06-1.20), Q2 (OR, 1.09; 95% CI, 1.02-1.17), and Q3 (OR, 1.11; 95% CI, 1.04-1.19).

CONCLUSION

MHI predicts inpatient mortality after adult trauma, even after adjusting for race, insurance status, and comorbidities. Efforts to mitigate trauma disparities should address SES as an independent predictor of outcomes.

摘要

背景

先前的研究表明,种族和保险状况可预测住院创伤死亡率,但这些研究受到无法调整直接衡量社会经济地位(SES)和合并症的限制。我们的研究旨在确定在调整已知混杂因素后,SES 与住院创伤死亡率之间是否存在关系。

方法

使用 2003-2009 年全国住院患者样本,确定年龄在 18-65 岁之间、损伤严重程度评分(ISS)≥9 的创伤患者。按四分位数,通过邮政编码确定家庭中位数收入(MHI),以衡量 SES。进行多变量逻辑回归分析,以确定按 MHI 四分位数划分的住院死亡率的几率,调整 ISS、损伤类型、合并症和患者人口统计学因素。

结果

共有 267621 名患者符合纳入标准。与最富裕的四分位数相比,财富较低四分位数的患者未经调整的住院死亡率明显更高。与最富裕的四分位数相比,Q1(优势比[OR],1.13;95%置信区间[CI],1.06-1.20)、Q2(OR,1.09;95%CI,1.02-1.17)和 Q3(OR,1.11;95%CI,1.04-1.19)的调整后死亡几率也更高。

结论

即使在调整了种族、保险状况和合并症后,MHI 仍可预测成人创伤后的住院死亡率。减轻创伤差异的努力应将 SES 作为结果的独立预测因素。

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