• 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

初次全膝关节置换术后满意度预测模型的内部验证。

Internal Validation of a Predictive Model for Satisfaction After Primary Total Knee Arthroplasty.

机构信息

Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL.

Department of Orthopaedic Surgery, University of Illinois at Chicago Medical College, Chicago, IL.

出版信息

J Arthroplasty. 2019 Apr;34(4):663-670. doi: 10.1016/j.arth.2018.12.020. Epub 2018 Dec 19.

DOI:10.1016/j.arth.2018.12.020
PMID:30612836
Abstract

BACKGROUND

As the number of total knee arthroplasty (TKA) procedures continues to rise in the context of bundled payment models, patients dissatisfied postoperatively that require additional care will impose additional cost to the healthcare system. The purpose of this study is to internally validate a predictive model for postoperative patient satisfaction after TKA.

METHODS

In total, 484 consecutive primary TKA patients between January 2014 and January 2016 were included. Patients were stratified into 4 risk tiers based on scores of a retrospectively applied, 11-component novel knee survey for postoperative satisfaction: low risk (>96.5), mild risk (75-96.4), moderate risk (60-74.9), and high risk (<60). Binary logistic and multivariate linear regression models were constructed to determine whether the survey was predictive of satisfaction. A receiver operator curve was constructed to determine a threshold score below which patients were likely to experience postoperative dissatisfaction.

RESULTS

The mean (±standard deviation) age was 66.3 ± 9.2 years (range 31.7-100.1) and mean body mass index was 34.2 ± 8.2 kg/m (range 16.2-68.4). A knee survey score of 96.5 conferred a 97.5% sensitivity and 95.7% negative predictive value for satisfaction. Patients with higher knee survey scores had greater odds (odds ratio 1.03, 95% confidence interval 1.01-1.06, P = .003) of postoperative satisfaction. Increasing risk tier was significantly associated with decreased satisfaction (low risk 95.7%, mild risk 93.8%, moderate risk 86.4%, and high risk 80.4%; P = .007). The knee survey was not significantly correlated with complications (r = -0.43, P = .32).

CONCLUSION

This novel knee survey conferred a 97.5% sensitivity and 95.7% negative predictive value in identifying at-risk patients for postoperative dissatisfaction after primary TKA.

摘要

背景

在按项目付费模式下,全膝关节置换术(TKA)的数量持续增加,术后不满意需要额外治疗的患者将给医疗系统带来额外的成本。本研究的目的是对 TKA 术后患者满意度的预测模型进行内部验证。

方法

共纳入 2014 年 1 月至 2016 年 1 月间的 484 例初次 TKA 连续患者。根据一项回顾性应用的、包含 11 个项目的新膝关节术后满意度调查的评分,将患者分为 4 个风险分层:低危(>96.5)、轻度危险(75-96.4)、中度危险(60-74.9)和高危(<60)。构建二元逻辑回归和多变量线性回归模型,以确定该调查是否对满意度具有预测性。构建受试者工作特征曲线,以确定患者术后可能不满意的评分阈值。

结果

患者平均(±标准差)年龄为 66.3 ± 9.2 岁(范围 31.7-100.1),平均体重指数为 34.2 ± 8.2kg/m(范围 16.2-68.4)。膝关节调查评分达到 96.5 分,对满意度的敏感性为 97.5%,阴性预测值为 95.7%。膝关节调查评分较高的患者术后满意度的可能性更大(比值比 1.03,95%置信区间 1.01-1.06,P=0.003)。风险分层越高,满意度越低(低危 95.7%,轻度危险 93.8%,中度危险 86.4%,高危 80.4%;P=0.007)。膝关节调查与并发症无显著相关性(r=-0.43,P=0.32)。

结论

本研究中的新型膝关节调查对初次 TKA 后术后不满意的高危患者具有 97.5%的敏感性和 95.7%的阴性预测值。

相似文献

1
Internal Validation of a Predictive Model for Satisfaction After Primary Total Knee Arthroplasty.初次全膝关节置换术后满意度预测模型的内部验证。
J Arthroplasty. 2019 Apr;34(4):663-670. doi: 10.1016/j.arth.2018.12.020. Epub 2018 Dec 19.
2
Internal Validation of a Predictive Model for Complications After Total Hip Arthroplasty.全髋关节置换术后并发症预测模型的内部验证。
J Arthroplasty. 2018 Dec;33(12):3759-3767. doi: 10.1016/j.arth.2018.08.011. Epub 2018 Aug 13.
3
The Prevalence and Predictors of Patient Dissatisfaction 5-years Following Primary Total Knee Arthroplasty.初次全膝关节置换术后5年患者不满意的患病率及预测因素
J Arthroplasty. 2022 Jun;37(6S):S121-S128. doi: 10.1016/j.arth.2022.02.077. Epub 2022 Feb 26.
4
External Validity of a New Prediction Model for Patient Satisfaction After Total Knee Arthroplasty.全膝关节置换术后患者满意度新预测模型的外部有效性。
J Arthroplasty. 2019 Aug;34(8):1677-1681. doi: 10.1016/j.arth.2019.04.021. Epub 2019 Apr 13.
5
A New Prediction Model for Patient Satisfaction After Total Knee Arthroplasty.全膝关节置换术后患者满意度的一种新预测模型
J Arthroplasty. 2016 Dec;31(12):2660-2667.e1. doi: 10.1016/j.arth.2016.06.004. Epub 2016 Jul 14.
6
Higher Preoperative Patient Activation Associated With Better Patient-reported Outcomes After Total Joint Arthroplasty.全关节置换术后较高的术前患者激活度与更好的患者报告结局相关。
Clin Orthop Relat Res. 2015 Aug;473(8):2688-97. doi: 10.1007/s11999-015-4247-4. Epub 2015 Mar 11.
7
Satisfaction Rates and Quality of Life Changes Following Total Knee Arthroplasty in Age-Differentiated Cohorts.不同年龄段全膝关节置换术后的满意度和生活质量变化。
J Arthroplasty. 2018 May;33(5):1373-1378. doi: 10.1016/j.arth.2017.12.031. Epub 2017 Dec 29.
8
[Patient Satisfaction after Total Knee Arthroplasty. Analysis of Pre-Operative and Peri-Operative Parameters Influencing Results in 826 Patients].[全膝关节置换术后患者满意度。826例患者术前及围手术期影响结果的参数分析]
Acta Chir Orthop Traumatol Cech. 2016;83(2):94-101.
9
Three groups of dissatisfied patients exist after total knee arthroplasty: early, persistent, and late.全膝关节置换术后存在三组不满意的患者:早期、持续性和晚期。
Bone Joint J. 2018 Feb;100-B(2):161-169. doi: 10.1302/0301-620X.100B2.BJJ-2017-1016.R1.
10
The Total Joint Arthroplasty Cardiac Risk Index for Predicting Perioperative Myocardial Infarction and Cardiac Arrest After Primary Total Knee and Hip Arthroplasty.用于预测初次全膝关节和髋关节置换术后围手术期心肌梗死和心脏骤停的全关节置换术心脏风险指数。
J Arthroplasty. 2016 Jun;31(6):1170-1174. doi: 10.1016/j.arth.2015.12.013. Epub 2015 Dec 17.

引用本文的文献

1
A predictive score of high tibial osteotomy survivorship to help in surgical decision-making: the SKOOP score.高胫骨截骨术存活率的预测评分有助于手术决策:SKOOP 评分。
Arch Orthop Trauma Surg. 2023 Aug;143(8):4843-4851. doi: 10.1007/s00402-022-04694-w. Epub 2022 Nov 23.
2
Artificial intelligence in knee arthroplasty: current concept of the available clinical applications.膝关节置换术中的人工智能:现有临床应用的当前概念
Arthroplasty. 2022 May 2;4(1):17. doi: 10.1186/s42836-022-00119-6.
3
Patient Satisfaction Following Primary Total Knee Arthroplasty: Contributing Factors.
初次全膝关节置换术后的患者满意度:影响因素
Arch Bone Jt Surg. 2021 Jul;9(4):379-386. doi: 10.22038/abjs.2020.46395.2274.
4
Predictive Models for Clinical Outcomes in Total Knee Arthroplasty: A Systematic Analysis.全膝关节置换术临床结局的预测模型:一项系统分析
Arthroplast Today. 2021 Apr 24;9:1-15. doi: 10.1016/j.artd.2021.03.013. eCollection 2021 Jun.
5
Improving Patient Outcomes Following Total Knee Arthroplasty: Identifying Rehabilitation Pathways Based on Modifiable Psychological Risk and Resilience Factors.全膝关节置换术后改善患者预后:基于可改变的心理风险和复原力因素确定康复途径。
Front Psychol. 2020 May 29;11:1061. doi: 10.3389/fpsyg.2020.01061. eCollection 2020.