• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

在 ACS NSQIP 数据库中,出院前和出院后感染并发症、住院时间和非计划性再入院之间的关系。

Relationships between predischarge and postdischarge infectious complications, length of stay, and unplanned readmissions in the ACS NSQIP database.

机构信息

Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, UCONN Health, Farmington, CT; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado School of Medicine, Aurora, CO.

Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado School of Medicine, Aurora, CO; Adult and Child Center for Health Outcomes Research and Delivery Science, University of Colorado School of Medicine, Aurora, CO.

出版信息

Surgery. 2021 Feb;169(2):325-332. doi: 10.1016/j.surg.2020.08.009. Epub 2020 Sep 12.

DOI:10.1016/j.surg.2020.08.009
PMID:32933745
Abstract

BACKGROUND

Postoperative complications, length of index hospital stay, and unplanned hospital readmissions are important metrics reflecting surgical care quality. Postoperative infections represent a substantial proportion of all postoperative complications. We examined the relationships between identification of postoperative infection prehospital and posthospital discharge, length of stay, and unplanned readmissions in the American College of Surgeons National Surgical Quality Improvement Program database across nine surgical specialties.

METHODS

The 30-day postoperative infectious complications including sepsis, surgical site infections, pneumonia, and urinary tract infection were analyzed in the American College of Surgeons National Surgical Quality Improvement Program inpatient data during the period from 2012 to 2017. General, gynecologic, vascular, orthopedic, otolaryngology, plastic, thoracic, urologic, and neurosurgical inpatient operations were selected.

RESULTS

Postoperative infectious complications were identified in 5.2% (137,014/2,620,450) of cases; 81,929 (59.8%) were postdischarge. The percentage of specific complications identified postdischarge were 73.4% of surgical site infections (range across specialties 63.7-93.1%); 34.9% of sepsis cases (27.4-58.1%); 26.5% of pneumonia cases (18.9%-36.3%); and 53.2% of urinary tract infections (48.3%-88.0%). The relative risk of readmission among patients with postdischarge versus predischarge surgical site infection, sepsis, pneumonia, or urinary tract infection was 5.13 (95% confidence interval: 4.90-5.37), 9.63 (8.93-10.40), 10.79 (10.15-11.45), and 3.32 (3.07-3.60), respectively. Over time, mean length of stay decreased but postdischarge infections and readmission rates significantly increased.

CONCLUSION

Most postoperative infectious complications were diagnosed postdischarge. These were associated with an increased risk of readmission. The trend toward shorter length of stay over time was observed along with an increase both in the percentage of infections detected after discharge and the rate of unplanned related postoperative readmissions over time. Postoperative surveillance of infections should extend beyond hospital discharge of surgical patients.

摘要

背景

术后并发症、住院时间和非计划性住院再入院是反映手术护理质量的重要指标。术后感染是所有术后并发症的重要组成部分。我们在美国外科医师学会国家手术质量改进计划数据库中检查了 9 个外科专业中术前和术后出院时识别术后感染、住院时间和非计划性再入院之间的关系。

方法

在 2012 年至 2017 年期间,对美国外科医师学会国家手术质量改进计划住院患者数据中 30 天内的术后感染性并发症(包括败血症、手术部位感染、肺炎和尿路感染)进行了分析。选择普外科、妇科、血管外科、骨科、耳鼻喉科、整形外科、胸外科、泌尿科和神经外科的住院手术。

结果

术后感染性并发症在 2620450 例病例中占 5.2%(137014 例);81929 例(59.8%)为出院后。出院后识别出的特定并发症比例分别为:手术部位感染 73.4%(各专业范围为 63.7%-93.1%);败血症 34.9%(27.4%-58.1%);肺炎 26.5%(18.9%-36.3%);尿路感染 53.2%(48.3%-88.0%)。与术前相比,出院后发生手术部位感染、败血症、肺炎或尿路感染的患者再入院的相对风险分别为 5.13(95%置信区间:4.90-5.37)、9.63(8.93-10.40)、10.79(10.15-11.45)和 3.32(3.07-3.60)。随着时间的推移,平均住院时间缩短,但出院后感染和再入院率显著增加。

结论

大多数术后感染性并发症在出院后诊断。这些并发症与再入院风险增加有关。随着时间的推移,住院时间缩短的趋势明显,同时出院后发现的感染百分比和非计划性术后相关再入院率也在增加。对手术患者的感染监测应延长至出院后。

相似文献

1
Relationships between predischarge and postdischarge infectious complications, length of stay, and unplanned readmissions in the ACS NSQIP database.在 ACS NSQIP 数据库中,出院前和出院后感染并发症、住院时间和非计划性再入院之间的关系。
Surgery. 2021 Feb;169(2):325-332. doi: 10.1016/j.surg.2020.08.009. Epub 2020 Sep 12.
2
Operative variables are better predictors of postdischarge infections and unplanned readmissions in vascular surgery patients than patient characteristics.对于血管外科患者,手术变量比患者特征更能预测出院后感染和非计划再入院情况。
J Vasc Surg. 2017 Apr;65(4):1130-1141.e9. doi: 10.1016/j.jvs.2016.10.086. Epub 2016 Dec 22.
3
Assessment of postdischarge complications after bariatric surgery: A National Surgical Quality Improvement Program analysis.减重手术后出院后并发症的评估:一项国家外科质量改进计划分析。
Surgery. 2015 Sep;158(3):777-86. doi: 10.1016/j.surg.2015.04.028. Epub 2015 Jun 19.
4
Drivers of readmissions in vascular surgery patients.血管外科患者再入院的驱动因素。
J Vasc Surg. 2016 Jul;64(1):185-194.e3. doi: 10.1016/j.jvs.2016.02.024. Epub 2016 Mar 30.
5
Hospital readmission after noncardiac surgery: the role of major complications.非心脏手术后的再次住院:主要并发症的作用。
JAMA Surg. 2014 May;149(5):439-45. doi: 10.1001/jamasurg.2014.4.
6
Descriptive analysis of 30-day readmission after inpatient surgery discharge in the Veterans Health Administration.退伍军人事务部住院手术出院后 30 天内再入院的描述性分析。
JAMA Surg. 2014 Nov;149(11):1162-8. doi: 10.1001/jamasurg.2014.1706.
7
Predischarge Predictors of Readmissions and Postdischarge Complications in Robot-Assisted Radical Prostatectomy.机器人辅助根治性前列腺切除术后再入院及出院后并发症的出院前预测因素
J Endourol. 2017 Sep;31(9):864-871. doi: 10.1089/end.2017.0293. Epub 2017 Aug 30.
8
Divergent Trends in Postoperative Length of Stay and Postdischarge Complications over Time.术后住院时间和出院后并发症随时间的变化趋势存在差异。
Jt Comm J Qual Patient Saf. 2024 Sep;50(9):630-637. doi: 10.1016/j.jcjq.2024.05.006. Epub 2024 May 10.
9
Postoperative complications of epidural analgesia at hysterectomy for gynecologic malignancies: an analysis of the National Surgical Quality Improvement Program.妇科恶性肿瘤子宫切除术患者硬膜外镇痛的术后并发症:国家手术质量改进计划分析。
Int J Gynecol Cancer. 2020 Aug;30(8):1203-1209. doi: 10.1136/ijgc-2020-001339. Epub 2020 May 25.
10
Impact of infectious complications after elective surgery on hospital readmission and late deaths in the U.S. Medicare population.美国医疗保险人群中择期手术后感染性并发症对医院再入院和晚期死亡的影响。
Surg Infect (Larchmt). 2012 Oct;13(5):307-11. doi: 10.1089/sur.2012.116. Epub 2012 Oct 19.

引用本文的文献

1
The role of right ventricular systolic pressure and ARISCAT score in perioperative pulmonary risk assessment.右心室收缩压和ARISCAT评分在围手术期肺部风险评估中的作用。
Braz J Anesthesiol. 2025 Mar-Apr;75(2):844597. doi: 10.1016/j.bjane.2025.844597. Epub 2025 Feb 17.
2
Association between postoperative complications and hospital length of stay: a large-scale observational study of 4,495,582 patients in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) registry.术后并发症与住院时间之间的关联:在美国外科医师学会国家外科质量改进计划(ACS - NSQIP)登记处对4,495,582名患者进行的大规模观察性研究。
Patient Saf Surg. 2024 Oct 1;18(1):29. doi: 10.1186/s13037-024-00409-9.
3
An explainable long short-term memory network for surgical site infection identification.
用于手术部位感染识别的可解释长短时记忆网络。
Surgery. 2024 Jul;176(1):24-31. doi: 10.1016/j.surg.2024.03.006. Epub 2024 Apr 18.
4
Pulmonary Hypertension and the Risk of 30-Day Postoperative Pulmonary Complications after Gastrointestinal Surgical or Endoscopic Procedures: A Retrospective Propensity Score-Weighted Cohort Analysis.肺动脉高压与胃肠道外科手术或内镜手术后30天肺部并发症的风险:一项回顾性倾向评分加权队列分析
J Clin Med. 2024 Mar 29;13(7):1996. doi: 10.3390/jcm13071996.
5
Estimates of 30-day postoperative pulmonary complications after gastrointestinal endoscopic procedures: A retrospective cohort analysis of a health system population.胃肠道内镜手术后 30 天内肺部并发症的估计:基于医疗系统人群的回顾性队列分析。
PLoS One. 2024 Feb 23;19(2):e0299137. doi: 10.1371/journal.pone.0299137. eCollection 2024.
6
Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning.利用结构化电子健康记录数据和机器学习开发和验证用于检测术后感染的模型。
Surgery. 2023 Feb;173(2):464-471. doi: 10.1016/j.surg.2022.10.026. Epub 2022 Dec 2.