Impact of haemoglobin A1c on wound infection in patients with diabetes with implanted synthetic graft.

OBJECTIVE: The aim of this study was to assess the relationship between haemoglobin A1c (HbA1c) values and operative wound infection. METHOD: During the period from 2013-2016, consecutive patients with type 2 diabetes were prospectively evaluated. Data were retrospectively analysed. All included patients were admitted for an elective surgical procedure, requiring the use of prosthetic graft in a groin wound. The patients were divided into two groups according to their preoperative HbA1c values. The main outcome was groin wound infection. The association between preoperative long-term glycoregulation and wound infection was evaluated, as well as the impact of postoperative glycaemic values, regardless of the level of HbA1c. RESULTS: Of the 93 participating patients, wound infection occurred in 20 (21.5%). Wound infection occurred in 28.2% of patients with uncontrolled diabetes (HbA1c >7%) and 16.7% of patients with controlled diabetes (HbA1c <7%); however, the difference did not reach statistical significance (p=0.181). In regression modelling, operative time (p=0.042) was a significant predictor of wound infection, while patients' age (p=0.056) was on the borderline of statistical significance. Females had a higher probability for wound infection (odds ratio (OR): 1.739; 95% confidence interval (CI):0.483-6.265), but there was no statistical significance (p=0.397). Patients with elevated levels of HbA1c had a higher chance of wound infection compared with patients with controlled diabetes (OR: 2.243; 95% CI: 0.749-6.716), nevertheless, this was not statistically significant (p=0.149). CONCLUSION: We found no statistically significant correlation between elevated values of preoperative HbA1c and postoperative groin wound infection.

Enhancing predictive accuracy of the cardiac risk score in open abdominal aortic surgery: the role of left ventricular wall motion abnormalities.

Background: Open abdominal aortic surgery carries many potential complications, with cardiac adverse events being the most significant concern. The Vascular Study Group Cardiac Risk Index (VSG-CRI) is a commonly used tool for predicting severe cardiac complications and guiding clinical decision-making. However, despite the potential prognostic significance of left ventricular wall motion abnormalities (LVWMAs) and reduced LV ejection fraction (LVEF) for adverse outcomes, the VSG-CRI model has not accounted for them. Hence, the main objective of this study was to analyze the added value of LV wall motion on the discriminatory power of the modified VSG-CRI in predicting major postoperative cardiac complications. Methods: A prospective study was conducted involving 271 patients who underwent elective abdominal aortic surgery between 2019 and 2021. VSG-CRI scores were calculated, and preoperative transthoracic echocardiography was conducted for all patients. Subsequently, a modified version of the VSG-CRI, accounting for reduced LVEF and LVWMAs, was developed and incorporated into the dataset. The postoperative incidence of the composite endpoint of major adverse cardiac events (MACEs), including myocardial infarction, clinically relevant arrhythmias treated with medicaments or by cardioversion, or congestive heart failure, was assessed at discharge from the index hospitalization, with adjudicators blinded to events. The predictive accuracy of both the original and modified VSG-CRI was assessed using C-Statistics. Results: In total, 61 patients (22.5%) experienced MACEs. Among these patients, a significantly higher proportion had preoperative LVWMAs compared to those without (62.3% vs. 32.9%, p < 0.001). Multivariable regression analysis revealed the VSG-CRI [odds ratio (OR) 1.46, 95% confidence interval (CI) 1.21-1.77; p < 0.001] and LVWMA (OR 2.76; 95% CI 1.46-5.23; p = 0.002) as independent predictors of MACEs. Additionally, the modified VSG-CRI model demonstrated superior predictability compared to the baseline VSG-CRI model, suggesting an improved predictive performance for anticipating MACEs following abdominal aortic surgery [area under the curve (AUC) 0.74; 95% CI 0.68-0.81 vs. AUC 0.70; 95% CI 0.63-0.77; respectively]. Conclusion: The findings of this study suggest that incorporating preoperative echocardiography can enhance the predictive accuracy of the VSG-CRI for predicting MACEs after open abdominal aortic surgery. Before its implementation in clinical settings, external validation is necessary to confirm the generalizability of this newly developed predictive model across different populations.