Albumin Creatinine Ratio As An Indicator Of Non-Healing Foot Wound Formation In Diabetes
Greenidge, A.; Quimby, K. R.; Speede, A. P.; Hambleton, I. R.; Anderson, S. G.; Landis, R. C.
Show abstract
AimsTo investigate whether kidney injury, determined by albumin creatinine ratio, was associated with current non-healing foot wounds in type 2 diabetes. Materials and MethodsEighty-nine Barbadians with diabetes were recruited. Cases had a current foot wound and controls had no current foot wound and no history of a non-healing foot wound. Cases were matched to controls using sex, age and duration of diabetes. Participants were from wound dressing and diabetes clinics at the Queen Elizabeth Hospital and Polyclinics, and from private healthcare practitioners. The relationship between albumin creatinine ratio and foot ulceration, adjusting for selected potential risk factors, was analyzed using logistic regression and presented as odds ratios. ResultsForty-four cases and 45 controls were matched, with no statistically significant difference in matching criteria. There were statistically important differences in measures of neuropathy, blood glucose, HbA1c and Albumin:creatinine ratio between cases and controls. Cases were 3 times more likely than controls to have microalbuminuria (95% CI 0.9 - 10.2; p=0.08). Cases were 7.4 times more likely than controls to have macroalbuminuria (95% CI 1.2 - 47.5; p=0.04). ConclusionsThe possible association of albumin:creatinine ratio with diabetic foot wounds raises the possibility of its use in earlier identification of persons on the pathway to developing diabetic foot.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Prevalence and determinants of peripheral arterial disease in children with nephrotic syndrome 96%
- Determinants of glycemic control among persons living with type 2 diabetes mellitus attending a district hospital in Ghana 96%
- Predictors of glycemic control, quality of life and diabetes self-management of patients with diabetes mellitus at a tertiary hospital in Ghana 96%
Similar papers in this journal
- Time In Range, as measured by continuous glucose monitor, as a predictor of microvascular complications in type 2 diabetes– A systemic review 97%
- Comprehensive validation of fasting- and oral glucose tolerance test-based indices of insulin secretion against gold-standard measures 92%
- Ethnic differences in the manifestation of early-onset type 2 diabetes 92%
Similar papers in this journal
- Protocol for a prospective cohort study on the feasibility of application of nutritional ultrasound in the diagnosis and follow-up of patients with nutritional risk at hospital discharge: Study on body composition and function (DRECO) 93%
- An individualized risk prediction model for new-onset, progression and regression of chronic kidney disease in a retrospective cohort of patients with type 2 diabetes under primary care in Hong Kong 93%
- Risk Factors for Non-Communicable Diseases among Bangladeshi Adults: An Application of Generalized Linear Mixed Model on Multilevel Demographic and Health Survey Data 93%
Similar papers in this journal
- Enhanced expression of Dystrophin, IGF-1, CD44 and MYH3 in plasma and skeletal muscles including Diaphragm of mdx mice after oral administration of Neu REFIX Beta 1,3-1,6 glucan 94%
- Maternal and cord-blood inflammatory markers and BDNF in diabetic vs non-diabetic pregnancies 93%
- Genome-wide Polygenic Risk Score for Type 2 Diabetes in Indian Population 93%
Similar papers in this journal
- Impact of Losartan on Portal hypertension and Liver Cirrhosis: A Systematic Review 94%
- Influence of Factor V Leiden mutation and Protein C/S deficiencies on preeclampsia among Sudanese women 92%
- Clinicopathological Evaluation of Dry eyes and Ocular surface in Newly diagnosed patients of Hyperthyroidism and Hypothyroidism and its Comparison to Healthy Subjects 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.