The association between ABO blood groups and TASC II classification in patients with peripheral artery disease

Association Between ABO Blood Group, Peripheral Artery Disease Lesion Severity, and Coronary Artery Disease Coexistence

OBJECTIVES

This study aims to investigate the relationship between ABO blood groups and the severity of Peripheral Artery Disease (PAD) lesions, the coexistence of Coronary Artery Disease (CAD) with PAD, and to identify which blood groups may be more predisposed to these conditions.

METHODS

This study, which has a single-center and retrospective design, includes 305 patients diagnosed with Peripheral Artery Disease (PAD) between 2015 and 2021. The patients were selected from those with at least 50% stenosis detected by computed tomography (CT) angiography. The severity of PAD lesions was evaluated according to the TASC-II classification, and the presence of Coronary Artery Disease (CAD) was determined by simultaneous conventional coronary angiography. Demographic data, comorbidities, and laboratory results were collected, and statistical analyses were performed using chi-square tests, logistic regression, and t-tests. All of these patients were divided into two groups based on their ABO blood types: O and non-O blood groups.

RESULTS

This study demonstrates a significant relationship between blood group classification and both the severity of peripheral artery disease (PAD) and the prevalence of coronary artery disease (CAD). Patients with non-O blood groups exhibited a higher likelihood of having severe PAD lesions (TASC-C and TASC-D) compared to those with O blood groups, who more frequently had milder lesions (TASC-A and TASC-B) (p < 0.001). The prevalence of CAD was also significantly higher among patients with non-O blood groups than those with the O blood group (54.4% vs. 36.4%; p = 0.003). In the logistic regression analysis, non-O blood groups, alongside age, hypertension, and chronic kidney disease, emerged as independent predictors of severe PAD (p < 0.001 for non-O blood groups). Similarly, older age and non-O blood group status were identified as significant independent predictors of CAD (p = 0.004). These findings suggest that blood group classification, particularly non-O groups, may influence the severity and coexistence of PAD and CAD.

CONCLUSION

Our study reveals a significant association between ABO blood groups and both the severity of peripheral arterial disease (PAD) and the association of coronary artery disease (CAD), and shows that non-O blood groups are linked to more severe forms of these conditions. These findings highlight the potential role of ABO blood groups in cardiovascular risk stratification, suggesting a need for further research to confirm these associations and understand their clinical implications.

Predictors of amputation in patients with diabetic foot ulcers: a multi-centre retrospective cohort study

PURPOSE

Investigating risk factors for amputation in patients with diabetic foot ulcer (DFU) and developing a nomogram prediction model.

METHODS

We gathered case data of DFU patients from five medical institutions in Anhui Province, China. Following eligibility criteria, a retrospective case-control study was performed on data from 526 patients.

RESULTS

Among the 526 patients (mean age: 63.32 ± 12.14), 179 were female, and 347 were male; 264 underwent amputation. Univariate analysis identified several predictors for amputation, including Blood type-B, Ambulation, history of amputation (Hx. Of amputation), Bacterial culture-positive, Wagner grade, peripheral arterial disease (PAD), and laboratory parameters (HbA1c, Hb, CRP, ALB, FIB, PLT, Protein). In the multivariate regression, six variables emerged as independent predictors: Blood type-B (OR = 2.332, 95%CI [1.488-3.657], p < 0.001), Hx. Of amputation (2.298 [1.348-3.917], p = 0.002), Bacterial culture-positive (2.490 [1.618-3.830], p <0.001), Wagner 3 (1.787 [1.049-3.046], p = 0.033), Wagner 4-5 (4.272 [2.444-7.468], p <0.001), PAD (1.554 [1.030-2.345], p = 0.036). We developed a nomogram prediction model utilizing the aforementioned independent risk factors. The model demonstrated a favorable predictive ability for amputation risk, as evidenced by its area under the receiver operating characteristics (ROC) curve of 0.756 and the well-fitted corrected nomogram calibration curve.

CONCLUSION

Our findings underscore Blood type-B, Hx. Of amputation, Bacterial culture-positive, Wagner 3-5, and PAD as independent risk factors for amputation in DFU patients. The resultant nomogram exhibits substantial accuracy in predicting amputation occurrence. Timely identification of these risk factors can reduce DFU-related amputation rates.