AI Article Synopsis

  • The study assessed the distribution of diabetic foot risk categories among patients at Selebi Phikwe Government Hospital's diabetic clinic, following IWGDF guidelines, while also investigating factors like age, blood pressure, and blood sugar levels that could influence risk progression.
  • A total of 144 patient records were reviewed, revealing that the majority (85%) were classified in the lowest risk category, with only 15% in higher-risk groups for diabetic foot complications.
  • Age showed a significant relationship with increased risk levels, indicating that older patients were more likely to be categorized into higher diabetic foot risk categories.

Article Abstract

Aim: The present study aimed: (1) to evaluate the proportion of each diabetic foot (DF) risk category, according to the International Working Group on the Diabetic Foot (IWGDF) consensus, in patients attending the diabetic clinic in Selebi Phikwe Government Hospital (SPGH) and (2) to examine some of the factors that may be associated with the progression to higher risk categories such as anthropometric measurements, blood pressure, glycosylated haemoglobin (HbA1c) and lipid profile.

Methods: A retrospective, cross sectional chart review of patients who had attended the diabetic clinic in SPGH from January 2013 to December 2013 was performed. Patients were included if they had undergone a foot examination. Patients with amputation due to accident were excluded. The DF risk category was assessed by determining the proportion of patients in each of four risk categories, as described by the IWGDF consensus.

Results: The study encompassed 144 records from patients reviewed for foot examination from January to December 2013. Patients' ages were between 16 and 85 years, 46 (40%) were male and 98 (60%) were female. The majority (122, [85%]) of patients were in DF risk category 0, whilst a limited number of patients were classified in risk category 1 (10, [6.9%]), risk category 2 (7, [4.9%]) and risk category 3 (5, [3.5%]). Most of the patients had the type 2 diabetes mellitus (139, [97%; 95% CI 92% - 99%]). Patients' ages were associated with the progressively higher DF risk categories. The adjusted odd ratio was 1.1 (95% CI 1.03-1.14; p = 0.004).

Conclusion: The present study revealed that about 15% of patients attending the SPGH diabetic clinic were categorised in higher risk groups for diabetic foot; patients' ages were linked to the higher DF risk categories.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4502878PMC
http://dx.doi.org/10.4102/phcfm.v6i1.610DOI Listing

Publication Analysis

Top Keywords

risk category
24
diabetic foot
16
higher risk
16
risk categories
16
diabetic clinic
12
patients' ages
12
risk
11
patients
10
selebi phikwe
8
phikwe government
8

Similar Publications

Understanding whether risk preference represents a stable, coherent trait is central to efforts aimed at explaining, predicting and preventing risk-related behaviours. We help characterize the nature of the construct by adopting a systematic review and individual participant data meta-analytic approach to summarize the temporal stability of 358 risk preference measures (33 panels, 57 samples, 579,114 respondents). Our findings reveal noteworthy heterogeneity across and within measure categories (propensity, frequency and behaviour), domains (for example, investment, occupational and alcohol consumption) and sample characteristics (for example, age).

View Article and Find Full Text PDF

Acyl glucuronide (AG) is a reactive metabolite that causes idiosyncratic drug toxicity (IDT). Although the instability of AG is used to predict the IDT risk of novel drug candidates, it sometimes overestimates the IDT risk. We investigated whether the rate of enzymatic AG hydrolysis in human liver microsomes (HLM) can predict the risk of IDT.

View Article and Find Full Text PDF

Prediction of hip fracture by high-resolution peripheral quantitative computed tomography in older Swedish women.

J Bone Miner Res

January 2025

Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.

The socioeconomic burden of hip fractures, the most severe osteoporotic fracture outcome, is increasing and the current clinical risk assessment lacks sensitivity. This study aimed to develop a method for improved prediction of hip fracture by incorporating measurements of bone microstructure and composition derived from high-resolution peripheral quantitative computed tomography (HR-pQCT). In a prospective cohort study of 3028 community-dwelling women aged 75 to 80, all participants answered questionnaires and underwent baseline examinations of anthropometrics and bone by dual x-ray absorptiometry (DXA) and HR-pQCT.

View Article and Find Full Text PDF

Importance: Pediatric peripheral intravenous catheter (PIVC) insertion can be difficult and time-consuming, frequently requiring multiple insertion attempts and often resulting in increased anxiety, distress, and treatment avoidance among children and their families. Ultrasound-guided PIVC insertion is a superior alternative to standard technique (palpation and visualization) in high-risk patients.

Objective: To compare first-time insertion success of PIVCs inserted with ultrasound guidance compared with standard technique (palpation and visualization) across all risk categories in the general pediatric hospital population.

View Article and Find Full Text PDF

Incorporating molecular testing for human papillomavirus (HPV) into the screening of cervical specimens can improve risk stratification and, in turn, patient management. Infection with a high-risk (HR) HPV genotype is associated with greater risk for persistent infection, viral integration, and progression of cervical neoplasia. Current guidelines consider HPV 16 or HPV 18 clinically actionable with referral to colposcopy; however, 12 Other HR HPV genotypes have been associated with cervical cancer risk, suggesting a benefit of extended genotyping.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!