Wang Wenqiang, Zhou Peilin, Nie Xinyu, Hua Qikai
Department of Bone and Joint Surgery (Guangxi Diabetic Foot Salvage Engineering Research Center/Research Centre for Regenerative Medicine), The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Department of Orthopedics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Endocrinol Diabetes Metab. 2025 Jul;8(4):e70066. doi: 10.1002/edm2.70066.
Procalcitonin (PCT) is an effective inflammatory marker for diagnosing infection. We assessed the clinical utility of procalcitonin in diagnosing diabetic foot infections.
This meta-analysis adhered to the PRISMA guidelines. We searched PubMed, Web of Science, Embase and the Cochrane Library for studies on PCT for the diagnosis of diabetic foot published before 1 July 2024. The primary outcome was the standardised mean difference (SMD) in PCT levels between IDFU and non-IDFU groups, with corresponding 95% confidence intervals (CI). The included studies were cross-sectional and cohort studies, so the quality of the literature was assessed using the Newcastle-Ottawa Scale (NOS) evaluation criteria. This study's statistical analyses were conducted solely with STATA 15.0 software.
Ten studies comprising 928 patients were ultimately included. There were six cross-sectional studies and four cohort studies. In total, 532 patients were assigned to the IDFU group and 396 to the non-infected diabetic foot ulcers (NIDFU) group. The relationship between PCT and DFU was evaluated in ten studies, with significant heterogeneity among the included studies (x = 54.10, p = 0.00001; I = 83.6%). Therefore, a random effects model was used with a pooled standardised mean difference of 0.79 (95% confidence interval [CI]: 0.43-1.14). The Egger experiment results (t = 0.43, p = 0.680) indicated that there was no publication bias. Analysis of sensitivity revealed that the results were reliable. Subgroup analyses identified the area as a significant source of heterogeneity. The random-effects model's meta-regression results revealed that BMI (p = 0.026) and HbA1c (p = 0.016) had a significant impact on the heterogeneity of the association between IDFU and PCT levels.
Our study showed a significant correlation between serum PCT levels and IDFU. Identification and treatment of IDFUs as soon as possible can help reduce amputation and mortality rates. This systematic review and meta-analysis evaluated the association between serum procalcitonin levels and diabetic foot infections. Ten studies were included, and a random-effects model showed significantly higher procalcitonin levels in infected patients, supporting its role as a potential diagnostic biomarker for early infection detection in diabetic foot ulcers.
降钙素原(PCT)是诊断感染的一种有效炎症标志物。我们评估了降钙素原在诊断糖尿病足感染中的临床应用价值。
本荟萃分析遵循PRISMA指南。我们在PubMed、Web of Science、Embase和Cochrane图书馆中检索了2024年7月1日前发表的关于PCT用于诊断糖尿病足的研究。主要结局是感染性糖尿病足溃疡(IDFU)组和非感染性糖尿病足溃疡(NIDFU)组之间PCT水平的标准化平均差(SMD)及相应的95%置信区间(CI)。纳入的研究为横断面研究和队列研究,因此使用纽卡斯尔-渥太华量表(NOS)评估标准对文献质量进行评估。本研究的统计分析仅使用STATA 15.0软件进行。
最终纳入了10项研究,共928例患者。其中有6项横断面研究和4项队列研究。总共532例患者被分配到IDFU组,396例被分配到非感染性糖尿病足溃疡(NIDFU)组。10项研究评估了PCT与糖尿病足溃疡(DFU)之间的关系,纳入的研究之间存在显著异质性(x² = 54.10,p = 0.00001;I² = 83.6%)。因此,采用随机效应模型,合并标准化平均差为0.79(95%置信区间[CI]:0.43 - 1.14)。Egger检验结果(t = 0.43,p = 0.680)表明不存在发表偏倚。敏感性分析表明结果可靠。亚组分析确定地区是异质性的一个重要来源。随机效应模型的meta回归结果显示,体重指数(BMI,p = 0.026)和糖化血红蛋白(HbA1c,p = 0.016)对IDFU与PCT水平之间关联的异质性有显著影响。
我们的研究表明血清PCT水平与IDFU之间存在显著相关性。尽早识别和治疗IDFU有助于降低截肢率和死亡率。本系统评价和荟萃分析评估了血清降钙素原水平与糖尿病足感染之间的关联。纳入了10项研究,随机效应模型显示感染患者的降钙素原水平显著更高,支持其作为糖尿病足溃疡早期感染检测的潜在诊断生物标志物的作用。