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髋关节置换术的住院时间:临床生物学因素及干预时机的影响

Duration of Hospitalization for Hip Arthroplasty: Influence of Clinical-Biological Factors and Timing of the Intervention.

作者信息

Danet Andrei, Spiridonica Razvan, Iacobescu Georgian L, Iordache Sergiu, Popa Mihnea, Rascu Angel Stefan, Cirstoiu Catalin

机构信息

Cardiac Surgery, University Emergency Hospital Bucharest, Bucharest, ROU.

Orthopedics and Traumatology, University Emergency Hospital Bucharest, Bucharest, ROU.

出版信息

Cureus. 2025 May 11;17(5):e83876. doi: 10.7759/cureus.83876. eCollection 2025 May.

DOI:10.7759/cureus.83876
PMID:40502894
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12152231/
Abstract

This retrospective study aimed to identify the clinical-biological and organizational factors influencing the duration of hospitalization in patients undergoing hip arthroplasty. A total of 85 patients were analyzed, considering variables such as age, preoperative diagnosis, type of prosthesis, time of surgery, and pre- and postoperative biological parameters (international normalized ratio, activated partial thromboplastin time (APTT), creatinine, fibrinogen, hemoglobin, and blood glucose). Statistical analyses (analysis of variance (ANOVA), Kruskal-Wallis, Levene test, Pearson correlations) showed significant associations between the length of hospital stay and factors such as advanced age, fractures (including pathological bone fractures), use of bipolar prostheses, delayed surgeries, and increased INR, APTT, creatinine, and fibrinogen values. Parameters such as hemoglobin and blood glucose did not have a significant influence. The results support the importance of a thorough preoperative assessment for identifying patients at high risk of prolonged hospitalization and optimizing perioperative management.

摘要

这项回顾性研究旨在确定影响髋关节置换术患者住院时间的临床生物学和组织因素。共分析了85例患者,考虑了年龄、术前诊断、假体类型、手术时间以及术前和术后生物学参数(国际标准化比值、活化部分凝血活酶时间(APTT)、肌酐、纤维蛋白原、血红蛋白和血糖)等变量。统计分析(方差分析(ANOVA)、Kruskal-Wallis检验、Levene检验、Pearson相关性分析)显示,住院时间与高龄、骨折(包括病理性骨折)、使用双极假体、手术延迟以及国际标准化比值(INR)、活化部分凝血活酶时间(APTT)、肌酐和纤维蛋白原值升高之间存在显著关联。血红蛋白和血糖等参数没有显著影响。研究结果支持了进行全面术前评估以识别住院时间延长高危患者并优化围手术期管理的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b022/12152231/466b4c086ed1/cureus-0017-00000083876-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b022/12152231/466b4c086ed1/cureus-0017-00000083876-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b022/12152231/466b4c086ed1/cureus-0017-00000083876-i01.jpg

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本文引用的文献

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Clinical prediction models for patients undergoing total hip arthroplasty: an external validation based on a systematic review and the Dutch Arthroplasty Register.接受全髋关节置换术患者的临床预测模型:基于系统评价和荷兰关节置换登记的外部验证。
Acta Orthop. 2024 Nov 25;95:685-694. doi: 10.2340/17453674.2024.42449.
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机器学习在骨科手术中的概述:一篇教育论文。
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Preoperative Prediction and Risk Factor Identification of Hospital Length of Stay for Total Joint Arthroplasty Patients Using Machine Learning.使用机器学习对全关节置换术患者的住院时间进行术前预测和风险因素识别
Arthroplast Today. 2023 Jul 13;22:101166. doi: 10.1016/j.artd.2023.101166. eCollection 2023 Aug.
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Patient characteristics and procedural variables are associated with length of stay and hospital cost among unilateral primary total hip arthroplasty patients: a single-center retrospective cohort study.单侧初次全髋关节置换术患者的住院时间和住院费用与患者特征和手术变量相关:一项单中心回顾性队列研究。
BMC Musculoskelet Disord. 2023 Jan 4;24(1):6. doi: 10.1186/s12891-022-06107-w.
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Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital.使用机器学习预测在农村社区医院进行的全关节置换术的住院时间。
PLoS One. 2022 Nov 10;17(11):e0277479. doi: 10.1371/journal.pone.0277479. eCollection 2022.
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Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty-Our Experience on 743 Cases.初次全髋关节置换术后住院时间的术前及围手术期预测因素——我们743例病例的经验
J Clin Med. 2021 Oct 28;10(21):5053. doi: 10.3390/jcm10215053.
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Obesity in short stem total hip arthroplasty using a minimally invasive supine anterolateral approach-a risk factor for short-term complications?微创仰卧前路短柄全髋关节置换术治疗肥胖患者:短期并发症的危险因素?
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