Suppr超能文献

全关节置换术患者急性肾损伤的危险因素

Risk Factors for Acute Kidney Injury in Patients Undergoing Total Joint Arthroplasty.

作者信息

Kılıc Hazal Nur, Cakar Turhan K Sanem, Karadag Erkoc Suheyla, Hayriye Kocaoglu Merve

机构信息

Department of Anesthesiology and Reanimation, Duzıcı State Hospital, Turkish Ministry of Health, 80600 Osmaniye, Türkiye.

Department of Anesthesiology and Reanimation, Ankara University School of Medicine, 06100 Ankara, Türkiye.

出版信息

Reports (MDPI). 2024 Oct 31;7(4):88. doi: 10.3390/reports7040088.

Abstract

: The present study investigates the incidence of postoperative acute kidney injury (AKI) and related risk factors in patients undergoing total joint arthroplasty. : Included in the study were patients undergoing joint arthroplasty in 2015-2020. The patients with acute or chronic renal failure were excluded. The participants' demographical data, American Society of Anesthesiologist (ASA) score, Charlson Comorbidity Index (CCI), type of operation, duration of surgery, presence of comorbidities, preoperative anemia, preoperative albumin levels, use of nephrotoxic agents, number of transfusions during perioperative period, presence of AKI according to Kidney Disease Improving Global Outcome (KDIGO) scores, and length of hospital and intensive care unit stay were evaluated. The study was initiated with 1780 patients: 113 patients were excluded due to chronic kidney failure, 108 patients were excluded due to acute kidney failure, 648 patients were excluded because their data could not be reached, and finally, 911 patients were included in the study. AKI was detected in 134 patients (14.7%), and the number of patients in the KDIGO1 and KDIGO2 groups were 120 and 14, respectively. When evaluated according to the variable significance test result and clinical significance, the model consists of variables such as ASA, CCI, hypertension, nonsteroidal anti-inflammatory drugs (NSAIDs), vancomycin, beta lactam, contrast material and preoperative anemia, operation type, and anesthesia management. Machine learning analyses were performed using 11 variables (10 independent and 1 dependent variable). Logistic regression, naive Bayes, multilayer perceptron, bagging, and random forrest approaches were used for evaluation of the predictive performance. In an evaluation of the true classification ratio, the best result was obtained with the logistic regression method at 85.2%. The study revealed advanced age, high ASA and CCI, presence of diabetes and hypertension, NSAID, vancomycin and contrast material, and the presence of preoperative anemia to be independent risk factors for AKI.

摘要

本研究调查了接受全关节置换术患者术后急性肾损伤(AKI)的发生率及相关危险因素。研究纳入了2015年至2020年期间接受关节置换术的患者,排除了急性或慢性肾衰竭患者。评估了参与者的人口统计学数据、美国麻醉医师协会(ASA)评分、查尔森合并症指数(CCI)、手术类型、手术时长、合并症情况、术前贫血、术前白蛋白水平、肾毒性药物使用情况、围手术期输血次数、根据改善全球肾脏病预后(KDIGO)评分的AKI情况以及住院和重症监护病房停留时间。该研究最初有1780例患者,其中113例因慢性肾衰竭被排除,108例因急性肾衰竭被排除,648例因无法获取数据被排除,最终911例患者纳入研究。134例患者(14.7%)检测到AKI,KDIGO1组和KDIGO2组患者数量分别为120例和14例。根据变量显著性检验结果和临床意义进行评估时,该模型由ASA、CCI、高血压、非甾体抗炎药(NSAIDs)、万古霉素、β-内酰胺类、造影剂和术前贫血、手术类型及麻醉管理等变量组成。使用11个变量(10个自变量和1个因变量)进行机器学习分析。采用逻辑回归、朴素贝叶斯、多层感知器、装袋法和随机森林方法评估预测性能。在真实分类率评估中,逻辑回归方法获得了最佳结果,为85.2%。该研究表明,高龄、高ASA和CCI评分、糖尿病和高血压的存在、NSAIDs、万古霉素和造影剂以及术前贫血的存在是AKI的独立危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a387/12199952/84d1cfb896c5/reports-07-00088-g001.jpg

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