水疱是骨科创伤的常见并发症,可导致手术延迟并增加感染风险。这项研究旨在确定急性骨筋膜室综合征(ACS)患者水疱的危险因素。我们的研究收集了2013年11月至2021年1月期间2家医院收治的206例ACS患者的数据。将患者分为2组:泡罩组(BG)和对照组(CG)。基于水泡的存在或不存在。我们进行了单变量分析,Logistic回归分析,和接受者工作特征(ROC)曲线分析,以识别人口统计学中的任何显着差异,合并症,两组间的实验室检查结果。我们的研究发现,ACS患者水疱的发生率为21.8%(206例中有45例)。单变量分析确定了与水疱形成显着相关的几个因素。Logistic回归分析显示,发生ACS的患者在冬季或春季(P=.007,OR=2.690,95%CI[1.308-5.534]),接受转诊的患者(入院前患者在医疗机构之间转移以进行进一步评估和尝试治疗的过程)(P=.009,OR=4.235,95%CI[1.432-12.527]),PLR较高的患者(P=.036,OR=1.005,95%CI[1.000-1.009])是水疱的独立危险因素。此外,饮酒史(P=.039,OR=0.027,95%CI[0.046-0.927])是这些患者水疱形成的保护因素.此外,ROC曲线分析显示,PLR值为138是预测ACS患者水疱发展的截止点。我们的研究确定了季节性因素(参考这些月份,如冬季或春季),转介,而PLR较高的患者为独立危险因素,和饮酒史作为ACS患者水疱形成的保护因素。这些发现使临床医生能够个性化评估水疱风险并进行早期靶向治疗。
Blisters are a common complication of orthopedic trauma and can cause surgery delay and increase the risk of infection. This study aims to identify risk factors for blisters in patients with acute compartment syndrome (ACS). Our study collected data from 206 ACS patients admitted to 2 hospitals between November 2013 and January 2021. Patients were divided into 2 groups: the
blister group (BG) and the control group (CG), based on the presence or absence of blisters. We conducted univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analysis to identify any significant differences in demographics, comorbidities, and admission laboratory test results between the 2 groups. Our study found that the incidence of blisters in ACS patients was 21.8% (45 out of 206). Univariate analysis identified several factors that were significantly associated with
blister formation. Logistic regression analysis showed that patients who developed ACS in the winter or spring (P = .007, OR = 2.690, 95% CI [1.308-5.534]), patients who received a referral (the process whereby patients are transferred between medical facilities for further evaluation and treatment attempts prior to admission to our hospital) (P = .009, OR = 4.235, 95% CI [1.432-12.527]), and patients with higher PLR (P = .036, OR = 1.005, 95% CI [1.000-1.009]) were independent risk factors for blisters. Additionally, a history of drinking (P = .039, OR = 0.027, 95% CI [0.046-0.927]) was found to be a protective factor for
blister formation in these patients. Moreover, ROC curve analysis showed that a PLR value of 138 was the cutoff point for predicting the development of blisters in ACS patients. Our study identified seasonal factors (refer to these months like winter or spring), referral, and patients with higher PLR as independent risk factors, and a history of drinking as a protective factor for
blister formation in ACS patients. These findings allow clinicians to individualize the evaluation of
blister risk and perform early targeted therapies.