Habous Mohamad, Tal Raanan, Tealab Alaa, Soliman Tarek, Nassar Mohammed, Mekawi Zenhom, Mahmoud Saad, Abdelwahab Osama, Elkhouly Mohamed, Kamr Hatem, Remeah Abdallah, Binsaleh Saleh, Ralph David, Mulhall John
Urology and Andrology Department, Elaj Medical Centers, Jeddah, Saudi Arabia.
Sexual and Reproductive Medicine Program, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
BJU Int. 2018 Feb;121(2):293-300. doi: 10.1111/bju.14076. Epub 2017 Dec 1.
To re-evaluate the role of diabetes mellitus (DM) as a risk factor for penile implant infection by exploring the association between glycated haemoglobin (HbA1c) levels and penile implant infection rates and to define a threshold value that predicts implant infection.
We conducted a multicentre prospective study including all patients undergoing penile implant surgery between 2009 and 2015. Preoperative, perioperative and postoperative management were identical for the entire cohort. Univariate analysis was performed to define predictors of implant infection. The HbA1c levels were analysed as continuous variables and sequential analysis was conducted using 0.5% increments to define a threshold level predicting implant infection. Multivariable analysis was performed with the following factors entered in the model: DM, HbA1C level, patient age, implant type, number of vascular risk factors (VRFs), presence of Peyronie's disease (PD), body mass index (BMI), and surgeon volume. A receiver operating characteristic (ROC) curve was generated to define the optimal HbA1C threshold for infection prediction.
In all, 902 implant procedures were performed over the study period. The mean patient age was 56.6 years. The mean HbA1c level was 8.0%, with 81% of men having a HbA1c level of >6%. In all, 685 (76%) implants were malleable and 217 (24%) were inflatable devices; 302 (33.5%) patients also had a diagnosis of PD. The overall infection rate was 8.9% (80/902). Patients who had implant infection had significantly higher mean HbA1c levels, 9.5% vs 7.8% (P < 0.001). Grouping the cases by HbA1c level, we found infection rates were: 1.3% with HbA1c level of <6.5%, 1.5% for 6.5-7.5%, 6.5% for 7.6-8.5%, 14.7% for 8.6-9.5%, 22.4% for >9.5% (P < 0.001). Patient age, implant type, and number of VRFs were not predictive. Predictors defined on multivariable analysis were: PD, high BMI, and high HbA1c level, whilst a high-volume surgeon had a protective effect and was associated with a reduced infection risk. Using ROC analysis, we determined that a HbA1c threshold level of 8.5% predicted infection with a sensitivity of 80% and a specificity of 65%.
Uncontrolled DM is associated with increased risk of infection after penile implant surgery. The risk is directly related to the HbA1c level. A threshold HbA1c level of 8.5% is suggested for clinical use to identify patients at increased infection risk.
通过探究糖化血红蛋白(HbA1c)水平与阴茎植入物感染率之间的关联,重新评估糖尿病(DM)作为阴茎植入物感染风险因素的作用,并确定一个预测植入物感染的阈值。
我们进行了一项多中心前瞻性研究,纳入了2009年至2015年间所有接受阴茎植入手术的患者。整个队列的术前、围手术期和术后管理均相同。进行单因素分析以确定植入物感染的预测因素。将HbA1c水平作为连续变量进行分析,并使用0.5%的增量进行序贯分析,以确定预测植入物感染的阈值水平。多因素分析纳入以下因素建立模型:糖尿病、HbA1C水平、患者年龄、植入物类型、血管危险因素(VRF)数量、佩罗尼氏病(PD)的存在、体重指数(BMI)和外科医生手术量。生成受试者工作特征(ROC)曲线以确定预测感染的最佳HbA1C阈值。
在研究期间共进行了902例植入手术。患者的平均年龄为56.6岁。HbA1c的平均水平为8.0%,81%的男性HbA1c水平>6%。总共685个(76%)植入物为可弯曲型,217个(24%)为可膨胀型装置;302例(33.5%)患者还被诊断患有佩罗尼氏病。总体感染率为8.9%(80/902)。发生植入物感染的患者HbA1c平均水平显著更高,分别为9.5%和7.8%(P<0.001)。按HbA1c水平对病例进行分组,我们发现感染率分别为:HbA1c水平<6.5%时为1.3%,6.5 - 7.5%时为1.5%,7.6 - 8.5%时为6.5%,8.6 - 9.5%时为14.7%,>9.5%时为22.4%(P<0.001)。患者年龄、植入物类型和VRF数量无预测性。多因素分析确定的预测因素为:佩罗尼氏病、高BMI和高HbA1c水平,而手术量多的外科医生具有保护作用,且与感染风险降低相关。使用ROC分析,我们确定HbA1c阈值水平为8.5%时预测感染的敏感性为80%,特异性为65%。
未控制的糖尿病与阴茎植入手术后感染风险增加相关。该风险与HbA1c水平直接相关。建议临床使用8.5%的HbA1c阈值水平来识别感染风险增加的患者。