Bolourinejad Paria, Motififard Mehdi, Kazemi Naeini Maryam, Saffari Mahdie, Salehi Fateme, Rajabzade Pouya, Lachinani Amin, Yazdani Amid, Kheradmand Mohsen, Nemati Amin
Student Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Kashani Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.
Med J Islam Repub Iran. 2023 Nov 1;37:116. doi: 10.47176/mjiri.37.116. eCollection 2023.
Total hip arthroplasty (THA) is an effective surgery for patients with end-stage hip joint degenerative arthritis. This study aimed to determine peri-operative factors that impact the length of stay (LOS) and design a formula to predict LOS in patients undergoing THA.
This cross-sectional study was performed from September 2019 to January 2020. For this study, all patients who underwent THA over a period of 12 years since 2005 were included in the study. Data about the LOS and several variables including demographic variables, surgery-related variables, transfusion, intensive care unit (ICU) admission, past drug history, comorbidities, and laboratory data, were gathered. Qualitative variables are presented as numbers (%), and quantitative variables are presented as mean Mann± standard deviation. Mann Whitney test , Kruskal-Wallis test, and Spearman's rank correlation test were also used.
A total of 524 patients were included in the study; 12 were excluded .261 (51%) were female and 251(49%) male. The mean age was 56.13±17.04 years. In the univariate analysis, the day of admission, surgery indication, transfusion, diabetes mellitus, oral anti-diabetic drugs, American Society of Anesthesiology (ASA) score, preoperative hemoglobin (Hb) level, and type of prosthesis showed significant relation with LOS. Significant variables entered to zero truncated negative binomial regression. Among them, the day of admission, ASA score, preoperative Hb level, and type of prosthesis showed significant relation with LOS ( < 0.05) and were used for model design.
Preoperative Hb level, ASA score, day of admission, and prosthesis type have an impact on LOS and can predict LOS in patients who are candidates for THA.
全髋关节置换术（THA）是终末期髋关节退行性关节炎患者的一种有效手术。本研究旨在确定影响住院时间（LOS）的围手术期因素，并设计一个公式来预测接受THA患者的住院时间。
本横断面研究于2019年9月至2020年1月进行。对于本研究，纳入了自2005年以来12年间所有接受THA的患者。收集了关于住院时间以及包括人口统计学变量、手术相关变量、输血、重症监护病房（ICU）入住、既往用药史、合并症和实验室数据等几个变量的数据。定性变量以数字（%）表示，定量变量以均值±标准差表示。还使用了曼-惠特尼检验、克鲁斯卡尔-沃利斯检验和斯皮尔曼等级相关检验。
本研究共纳入524例患者；排除12例。261例（51%）为女性，251例（49%）为男性。平均年龄为56.13±17.04岁。在单因素分析中，入院日期、手术指征、输血、糖尿病、口服降糖药、美国麻醉医师协会（ASA）评分、术前血红蛋白（Hb）水平和假体类型与住院时间有显著关系。显著变量进入零截断负二项回归。其中，入院日期、ASA评分、术前Hb水平和假体类型与住院时间有显著关系（<0.05），并用于模型设计。
术前Hb水平、ASA评分、入院日期和假体类型对住院时间有影响，并且可以预测THA候选患者的住院时间。
