Suppr超能文献

良性心脏杂音作为全关节置换术后并发症的预测指标。

Benign heart murmurs as a predictor for complications following total joint arthroplasty.

作者信息

Friedman James M, Couso Ricardo, Kitchens Michael, Vakhshori Venus, Hillin Cody D, Wu Chia H, Steere Joshua, Ahn Jaimo, Hume Eric

机构信息

Department of Orthopedics, University of Pennsylvania, Philadelphia PA, United States.

Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, United States.

出版信息

J Orthop. 2017 Aug 1;14(4):470-474. doi: 10.1016/j.jor.2017.07.009. eCollection 2017 Dec.

Abstract

BACKGROUND

There is scant literature examining the predictive role of heart murmurs in the absence of suspected structural heart disease on complications of non-cardiac surgery. We hypothesize the detection of heart murmurs in the absence of structural heart disease will help identify patients at risk for complications following total joint arthroplasty (TJA) surgery.

METHOD

This was a prospective cohort of patients undergoing TJA over a twenty-month period. The study was performed at a single academic institution with four subspecialty surgeons. Patients undergoing primary TJA who were over eighteen years old, gave informed consent, and had adequate documentation were included in the study. Patients with a preoperative murmur or a newly discovered postoperative murmur were compared against patients with no murmur. Surgery-related complications, performance with physical therapy, and discharge to a non-home facility were measured in each group.

FINDINGS

345 (63%) eligible patients were included. 20 (5.8%) patients had a documented preoperative murmur and 36 (10.4%) patients had a new postoperative murmur. No patient had concern for major structural heart disease. Preoperative murmurs independently predicted development of acute kidney injury (OR 7.729, p < 0.001; RR 1.36). Preoperative murmurs also predicted likelihood to be discharged to a non-home facility (OR 2.97, p = 0.03; RR 1.87). New postoperative murmurs independently correlated with decreased performance with physical therapy (OR 0.466, p = 0.045; RR 0.664).

INTERPRETATION

Detection of heart murmurs both preoperatively and postoperatively is a low cost strategy to identify post-TJA surgical patients at risk for postoperative acute kidney injury, decreased physical performance, and discharge to non-home facilities. These patients may benefit from early fluid resuscitation and renally-dosed post-operative medications.

摘要

背景

在非心脏手术并发症方面,鲜有文献研究在无疑似结构性心脏病情况下心脏杂音的预测作用。我们假设,在无结构性心脏病时检测到心脏杂音将有助于识别全关节置换术(TJA)后有并发症风险的患者。

方法

这是一项对20个月内接受TJA手术患者的前瞻性队列研究。该研究在一家有四位亚专科外科医生的单一学术机构进行。纳入研究的患者为18岁以上、签署知情同意书且有充分记录的初次TJA手术患者。将术前有杂音或术后新发现有杂音的患者与无杂音患者进行比较。对每组患者测量手术相关并发症、物理治疗表现以及出院至非家庭机构的情况。

结果

纳入345名(63%)符合条件的患者。20名(5.8%)患者术前有杂音记录,36名(10.4%)患者术后出现新的杂音。无患者存在重大结构性心脏病问题。术前杂音可独立预测急性肾损伤的发生(比值比7.729,p<0.001;相对危险度1.36)。术前杂音还可预测出院至非家庭机构的可能性(比值比2.97,p = 0.03;相对危险度1.87)。术后新出现的杂音与物理治疗表现下降独立相关(比值比0.466,p = 0.045;相对危险度0.664)。

解读

术前和术后检测心脏杂音是一种低成本策略,可用于识别TJA手术后有术后急性肾损伤、身体机能下降以及出院至非家庭机构风险的患者。这些患者可能从早期液体复苏和肾剂量术后药物中获益。

相似文献

6
Evaluation of Diagnostic Methods in the Differentiation of Heart Murmurs in Children.儿童心脏杂音鉴别诊断方法的评估
Acta Inform Med. 2016 Apr;24(2):94-8. doi: 10.5455/aim.2016.24.94-98. Epub 2016 Mar 26.

本文引用的文献

2
The Preoperative Patient With a Systolic Murmur.伴有收缩期杂音的术前患者。
Anesth Pain Med. 2015 Dec 5;5(6):e32105. doi: 10.5812/aapm.32105. eCollection 2015 Dec.
5
The decline of our physical examination skills: is echocardiography to blame?我们体格检查技能的衰退:该归咎于超声心动图吗?
Eur Heart J Cardiovasc Imaging. 2014 Mar;15(3):249-52. doi: 10.1093/ehjci/jet195. Epub 2013 Nov 25.
8
Innocent murmurs: a suspect diagnosis in non-pregnant adults.生理性杂音:非妊娠成年人群中的疑似诊断。
Am J Cardiol. 2009 Sep 1;104(5):735-7. doi: 10.1016/j.amjcard.2009.04.031. Epub 2009 Jun 24.
10
In hospital complications after total joint arthroplasty.全关节置换术后的医院并发症。
J Arthroplasty. 2008 Sep;23(6 Suppl 1):139-45. doi: 10.1016/j.arth.2008.05.011.

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