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肝切除术后的手术量与预后:是外科医生还是医疗中心的影响?

High volume and outcome after liver resection: surgeon or center?

作者信息

Eppsteiner Robert W, Csikesz Nicholas G, Simons Jessica P, Tseng Jennifer F, Shah Shimul A

机构信息

Department of Surgery, Surgical Outcomes Analysis & Research, University of Massachusetts Medical School, Worcester, MA 01655, USA.

出版信息

J Gastrointest Surg. 2008 Oct;12(10):1709-16; discussion 1716. doi: 10.1007/s11605-008-0627-3. Epub 2008 Aug 13.

Abstract

INTRODUCTION

In a case controlled analysis, we attempted to determine if the volume-survival benefit persists in liver resection (LR) after eliminating differences in background characteristics.

METHODS

Using the Nationwide Inpatient Sample (NIS), we identified all LR (n = 2,949) with available surgeon/hospital identifiers performed from 1998-2005. Propensity scoring adjusted for background characteristics. Volume cut-points were selected to create equal groups. A logistic regression for mortality was then performed with these matched groups.

RESULTS

At high volume (HV) hospitals, patients (n = 1423) were more often older, white, private insurance holders, elective admissions, carriers of a malignant diagnosis, and high income residents (p < 0.05). Propensity matching eliminated differences in background characteristics. Adjusted in-hospital mortality was significantly lower in the HV group (2.6% vs. 4.8%, p = 0.02). Logistic regression found that private insurance and elective admission type decreased mortality; preoperative comorbidity increased mortality. Only LR performed by HV surgeons at HV centers was independently associated with improved in-hospital mortality (HR, 0.43; 95% CI, 0.22-0.83).

CONCLUSIONS

A socioeconomic bias may exist at HV centers. When these factors are accounted for and adjusted, center volume does not appear to influence in-hospital mortality unless LR is performed by HV surgeons at HV centers.

摘要

引言

在一项病例对照分析中,我们试图确定在消除背景特征差异后,肝脏切除术(LR)中手术量与生存率的益处是否仍然存在。

方法

利用全国住院患者样本(NIS),我们识别出1998年至2005年期间所有具备可用外科医生/医院标识符的LR手术(n = 2949例)。通过倾向评分法对背景特征进行调整。选择手术量切点以创建等量组。然后对这些匹配组进行死亡率的逻辑回归分析。

结果

在高手术量(HV)医院,患者(n = 1423例)往往年龄更大、为白人、持有私人保险、择期入院、患有恶性疾病诊断且为高收入居民(p < 0.05)。倾向匹配消除了背景特征方面的差异。HV组的调整后院内死亡率显著更低(2.6%对4.8%,p = 0.02)。逻辑回归分析发现,私人保险和择期入院类型可降低死亡率;术前合并症会增加死亡率。只有HV中心的HV外科医生进行的LR手术与改善的院内死亡率独立相关(风险比,0.43;95%置信区间,0.22 - 0.83)。

结论

HV中心可能存在社会经济偏差。在考虑并调整这些因素后,除非是HV中心的HV外科医生进行LR手术,否则中心手术量似乎不会影响院内死亡率。

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