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Diabetic foot risk factors in type 2 diabetes patients: a cross-sectional case control study.

ABSTRACT: Diabetic foot is a serious condition in patients with a long lasting diabetes mellitus. Diabetic foot treated improperly may lead not only to delayed ulceration healing, generalized inflammation, unnecessary surgical intervention, but also to the lower limb amputation. The aim of this study was to compare diabetic foot risk factors in population with type 2 diabetes and risk factors for diabetes in healthy subjects.The study included 900 subjects: 145 with diabetic foot, 293 with type 2 diabetes without diabetic foot and 462 healthy controls matched in terms of mean age, gender structure and cardiovascular diseases absence. Study was conducted in Gastroenterology and Metabolic Diseases Department, Medical University of Warsaw, Poland. In statistical analysis a logistic regression model, U Mann-Whitney's and t-Student test were used.The binomial logit models analysis showed that the risk of diabetic foot in patients with type 2 diabetes was decreased by patient's age (odds ratio [OR] = 0.94; 95% confidence interval [CI]: 0.92-0.96; p = 0.00001) and hyperlipidaemia (OR = 0.54; 95% CI: 0.36-0.81; p = 0.01). In contrast, male gender (OR = 2.83; 95% CI: 1.86-4.28; p = 0.00001) diabetes duration (OR = 1.04; 95% CI: 1.03-1.06; p = 0.0003), weight (OR = 1.04; 95% CI: 1.03-1.06; p = 0.00001), height (OR = 1.08; 95% CI: 1.05-1.11; p = 0.00001) and waist circumference (OR = 1.028; 95% CI: 1.007-1.050; p = 0.006) increase the risk of diabetic foot. The onset of type 2 diabetes in healthy subjects was increased by weight (OR = 1.035; 95% CI: 1.024-1.046; p = 0.00001), WC (OR = 1.075; 95% CI: 1.055-1.096; p = 00001), hip circumference (OR = 1.03; 95% CI: 1.01-1.05; p = 0.005), overweight defined with body mass index (BMI) above 24,9 kg/m(2) (OR = 2.49; 95% CI: 1.77-3.51; p = 0.00001) and hyperlipidaemia (OR = 3.53; 95% CI: 2.57-4.84; p = 0.00001).Risk factors for Type 2 diabetes and diabetic foot are only partially common. Study proved that patients who are prone to developing diabetic foot experience different risk factors than patients who are at risk of diabetes. Identification of relationship between diabetic foot and diabetes risk factors in appropriate groups may help clinicians to focus on certain factors in diabetic foot prevention.

SUBMITTER: Nehring P

PROVIDER: S-EPMC4128535 | biostudies-other | 2014

REPOSITORIES: biostudies-other

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Diabetic foot risk factors in type 2 diabetes patients: a cross-sectional case control study.

Nehring Piotr P Mrozikiewicz-Rakowska Beata B Krzyżewska Monika M Sobczyk-Kopcioł Agnieszka A Płoski Rafał R Broda Grażyna G Karnafel Waldemar W

Journal of diabetes and metabolic disorders 20140804

<h4>Background</h4>Diabetic foot is a serious condition in patients with a long lasting diabetes mellitus. Diabetic foot treated improperly may lead not only to delayed ulceration healing, generalized inflammation, unnecessary surgical intervention, but also to the lower limb amputation. The aim of this study was to compare diabetic foot risk factors in population with type 2 diabetes and risk factors for diabetes in healthy subjects.<h4>Methods</h4>The study included 900 subjects: 145 with diab ...[more]

PMID: 25114882

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Project description:Objectives:This study aimed to assess the overall health-related quality of life in type 2 diabetes mellitus patients with diabetic foot disease compared to diabetic patients without diabetic foot and to identify the clinical utility of this assessment. Methods:A total of 250 consecutive patients with type 2 diabetes mellitus (100/150 with/without diabetic foot, respectively) were interviewed. The questionnaires of the 36-item short-form survey and region-specific foot and ankle ability measure were applied. Wagner-Meggitt wound classification was used for foot-ulcer evaluation. Follow-up of patients for 3-6?weeks was done to identify the potential clinical short outcomes of diabetic foot ulcers. Results:Type 2 diabetes mellitus patients with diabetic foot exhibited poor mental and physical health consequences. Females had more prevalence of forefoot lesions, larger ulcer size, advanced Wagner grade, and higher frequency of unhealed ulcers. Receiver operating characteristic curve analysis demonstrated high value of foot and ankle ability measure and 36-item short-form questionnaires to discriminate type 2 diabetes mellitus patients with and without diabetic foot at cutoff values of 66 and 49.6, respectively. Foot and ankle ability measure questionnaire also showed high performance for differentiating the clinical outcome of foot ulcer. Total foot and ankle ability measure subscale score above the cutoff value of 65.5 could discriminate patients with complete healing and unhealed ulcer lesions at a high sensitivity and specificity. Conclusion:The current findings confirm the impact of diabetic foot disease on type 2 diabetes mellitus overall health-related quality of life reflected in 36-item short-form questionnaire and foot and ankle ability measure questionnaire which showed high discriminative values for type 2 diabetes mellitus patient sub-grouping. Their application in routine clinical health assessment with continuous medical education programs is highly recommended to achieve a better health-related quality of life.

Project description:AimsThe aim of the present study was to investigate the major determinants of diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes (T2D), considering the traditional and newly discovered risk factors, including hypoglycaemia and glycemic variability.MethodsThis retrospective case-control study was conducted in a tertiary care hospital in Taiwan. A total of 2,837 patients with T2D were recruited, medical history and biochemical data were obtained, and patients were screened for DPN using the Michigan Neuropathy Screening Instrument (MNSI). DPN was defined as an MNSI exam score > 2. A stepwise selection of variables was used based on the Akaike Information Criterion (AIC) and the Schwarz Criterion (SC). Multivariate analysis was performed using the identified variables obtained from the stepwise selection.ResultsAmong the recruited patients, 604 (21.3%) were found to have DPN. 275 patients with DPN were selected because of longer follow up period before enrollment and complete data of glycemic parameters, and paired with 351 patients with T2D without DPN and matched for age, gender, and diabetes duration. The results of the stepwise selection showed that the presence of moderately and severely increased albuminuria yielded the lowest values of AIC and SC, which indicate the best predictive performance. Multivariate analysis demonstrated that moderately and severely increased albuminuria and greater long-term glycemic variability significantly increased the risk of DPN, with a corresponding odds ratio of 1.85 and 1.61 (95%confidence intervals of 1.25-2.73and1.02-2.55, respectively), after adjusted for hypoglycaemia and types of diabetes treatment.ConclusionsAlbuminuria is a potent predictor of DPN, and greater long-term glycemic variabilityis clearly associated with DPN in adults with T2D. These findings indicate that, in addition to achieve average blood glucose control, screening for albuminuria and reducing blood glucose fluctuations might be useful for improving diabetic microvascular complications.

Project description:Type 2 diabetes (T2D) has a reported greater prevalence and poorer treatment outcomes in people living with HIV (PLWH) than comparable HIV-uninfected cohorts. We conducted a cross-sectional study to delineate the factors driving T2D in PLWH in an ethnically diverse cohort, and additionally observed how these have changed over time.We studied a diverse HIV cohort in London to determine the prevalence and risk factors for T2D, and compared them to a cohort studied 10 years previously.Patients were classified as normoglycaemic (fasting glucose <6.0 mmol/l) or dysglycaemic (?6.0 mmol/l). The relative contribution to dysglycaemia of modifiable and fixed factors, including demographics, anthropometrics, comorbidities, immune status, and HIV therapy, were analysed using univariate and logistic regression analyses.T2D prevalence was 15.1% in 2015 with a relative risk of 2.4 compared to the general population. The prevalence compared to 6.8% ten years earlier. The 2015 versus the 2005 cohort was significantly older (median age 49 (42-57) years versus 41 (IQR 35-47), p<0.001), had a higher BMI (27.4 (23.3-29.9) versus 24.9 (22.4-28.0) kg/m2 respectively, p = 0.019) and hypertensive (37.9% versus 19.6 respectively, p<0.001). The strongest predictors of dysglycaemia in the 2015 cohort were hepatic steatosis and hypertension, odds ratios (OR) and 95% confidence intervals (CI) 6.74 (3.48-13.03) and 2.92 (1.66-5.16) respectively, and also HIV-related factors of weight gain following antiretroviral initiation and longer known duration of HIV infection (OR 1.07 (1.04-1.11) and 1.06 (1.02-1.10) respectively).The alarmingly high prevalence of T2D in HIV requires improved screening, targeted to older patients and those with a longer duration of exposure to antiretrovirals. Effective diabetes prevention and management strategies are needed urgently to reduce this risk; such interventions should target both conventional risk factors, such as abdominal obesity, and HIV-specific risk factors such as weight gain following initiation of antiretrovirals.

Dataset Information

Diabetic foot risk factors in type 2 diabetes patients: a cross-sectional case control study.

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Diabetic foot risk factors in type 2 diabetes patients: a cross-sectional case control study.

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