Objectives: This study was aimed to determine the various factors which could serve as predictor of saving of lower limb from amputation in patients with diabetic foot ulcer (DFU).
Method: This three-year retrospective study was conducted in the Diabetes and Endocrinology Unit of Hayatabad Medical complex Peshawar, Pakistan. Demographic, clinical, laboratory and radiological information of the diabetic patients with DFU admitted between January 2020 to December 2022 was retrieved from the hospital files. Information regarding initial and final decision regarding amputation and the outcome of the ulcer was also recorded.
Results: A total of 502 patients of diabetes mellitus (DM) with DFU were included in the study, of whom there were 279 (55.6%) males and 223 (44.4%) females. The mean age of the study population, mean duration of DM and mean HbA1c were 55.2 ± 9.8 years, 13.7 ± 6.7 years and 11.2 ± 2.4 %, respectively. Patients who had an amputation of their lower limbs had an increased age (p= 0.034), raised total leucocyte count (TLC) (p= <0.001), higher HbA1c (p= 0.025), had osteomyelitis (p= <0.001), and had a higher-grade ulcer (p= <0.001). On binary logistic regression analysis, ulcer grade (OR=7.4, p= <0.001), osteomyelitis (OR=11.8, p= <0.001), and initial decision of no amputation at the time of admission (OR=33.6, p=<0.001) were independently associated with the lower limb salvage.
Conclusion: DFU which were of grade I to II, had no evidence of osteomyelitis and for which an initial decision was of no amputation were more likely to be salvaged.
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http://dx.doi.org/10.12669/pjms.40.7.9182 | DOI Listing |
BMC Endocr Disord
January 2025
Burn and Wound Repair Department, Fujian Medical University Union Hospital, Fuzhou, China.
Background: Diabetic foot ulcers (DFUs) are characterized by dynamic wound microbiome, the timely and accurate identification of pathogens in the clinic is required to initiate precise and individualized treatment. Metagenomic next-generation sequencing (mNGS) has been a useful supplement to routine culture method for the etiological diagnosis of DFUs. In this study, we utilized a routine culture method and mNGS to analyze the same DFU wound samples and the results were compared.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Computer Science Department, University of Geneva, Geneva, Switzerland.
Accurate wound segmentation is crucial for the precise diagnosis and treatment of various skin conditions through image analysis. In this paper, we introduce a novel dual attention U-Net model designed for precise wound segmentation. Our proposed architecture integrates two widely used deep learning models, VGG16 and U-Net, incorporating dual attention mechanisms to focus on relevant regions within the wound area.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard (Deemed University), M. B. Road, New Delhi 110062, India. Electronic address:
Infect Dis Rep
January 2025
Diabetic Foot Unit, Clínica Universitaria de Podología, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
This systematic review reports on treatments for onychomycosis in patients with diabetes and the drug interactions with other drugs in regard to the complicated diabetic patient profile. The recommendations in the preferred reporting items for systematic reviews and meta-analysis (PRISMA) checklist were applied and the included studies were evaluated using the Consolidated Standards of Reporting Trials (CONSORT) statement and the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement. Searches were conducted in November 2023, using the PubMed (Medline), Scopus, Cochrane Library, and Web of Science databases; studies on antifungal treatments for onychomycosis in patients with diabetes were included.
View Article and Find Full Text PDFJ Pain Res
January 2025
Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, 530021, People's Republic of China.
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