Prognostic usefulness of metabolic syndrome compared with diabetes in Korean patients with critical lower limb ischemia treated with percutaneous transluminal angioplasty

Prevalence of metabolic syndrome and health-related quality of life in war-related bilateral lower limb amputees

BACKGROUND

Lower limb amputation is correlated with considerable impairments in health-related quality of life (HRQOL) in veterans. The aim of this study is to determine the prevalence of metabolic syndrome (MetS) in veterans with bilateral lower limb amputation and to identify its association with HRQOL.

METHODS

This cross-sectional study was conducted on 235 Iranian male veterans with bilateral lower limb amputation. Demographics, anthropometrics, and biochemical measurements were assessed and MetS was defined by National Cholesterol Education Program Adult Treatment Panel III definition. HRQOL was assessed using the 36-item Short Form Health Survey (SF-36) questionnaire which measures eight health-related domains. The scores were compared between two groups of bilateral lower limb Amputees who have diagnosed with and without MetS.

RESULTS

The response rate was 40.7% and the mean age of the amputees was 52.05 years. 62.1% of participants were suffering from MetS (95% CI: 55.9%-68.4%). Patients with MetS were observed to have higher weight, waist and hip circumferences, FBS, TG, LDL and liver enzymes concentrations (P < 0.05). Although scores on all 8 subscales of SF-36 were low, no significant difference was observed in HRQOL scores between amputees with and without MetS. Moreover, the risk of MetS was not significantly different across subjects in the highest compared to the lowest quartile category of HRQOL scores.

CONCLUSIONS

Prevalence of MetS in veterans with bilateral lower limb amputation was higher and their HRQOL was lower compared to general population. Some strategies are needed to reduce the risk of cardiovascular diseases among this susceptible population.

Comparison of five systems of classification of diabetic foot ulcers and predictive factors for amputation

Diabetes mellitus is a common metabolic disorder. Among various complications, diabetic neuropathy and peripheral vascular disorders are closely associated with diabetic foot ulcers (DFUs). Lower extremity ulcers and amputations are ongoing problems among individuals with diabetes. There are several classification systems for DFUs; however, no prognostic system has to date been accepted as the gold standard or the optimum prediction tool for amputations. A retrospective study was designed. Demographic data and baseline laboratory data were gathered and scored or evaluated using five representative DFU classification systems. These included (i) the diabetic ulcer severity score (DUSS); (ii) University of Texas (UT) diabetic wound classification; (iii) Meggitt-Wagner classification; (iv) depth of the ulcer, extent of bacterial colonisation, phase of ulcer and association aetiology (DEPA) scoring system; and (v) site, ischaemia, neuropathy, bacterial infection and depth (SINBAD) score. Finally, a statistical analysis was performed. A total of 137 patients were included in this study. During the follow-up, DFU had healed in 51·1% of subjects and 48·9% of the individuals underwent lower extremity amputations (LEAs). In a univariable logistic regression analysis, history of previous DFU, hypertension, neuropathy, haemoglobin, C-reactive protein (CRP) and ankle-brachial index (ABI) showed a statistically significant difference between the healed group and the LEA group. Moreover, the stages, grades or overall prognostic ability of all five classifications were highly associated with the overall occurrence of LEA. On multivariable logistic regression analysis of the risk of LEA, all classifications showed a significant positive trend with an increased number of amputations. All the five classification systems exhibited high sensitivity, specificity, classification accuracy, positive predictive, negative predictive and area under the curve (AUC) values. They showed substantial accuracy and their main variables were associated with LEA occurrence. The Wagner and UT systems, although they are relatively simple to assess, were better predictors of LEA.