Results 201 to 210 of about 82,603 (308)

Diabetic foot ulcer with overlap syndrome: A case report and review of literature. [PDF]

World J Diabetes
Sun SY, Chen DW, Wu J, Li Y, Ran XW.
europepmc   +1 more source

Cutaneous non‐tuberculous mycobacterial infections: A retrospective study of 94 cases from Germany

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background Cutaneous non‐tuberculous mycobacterial infections (NTM) remain a diagnostic and therapeutic challenge. The aim of this study was to characterize cutaneous NTM infections in Germany over a 24‐year‐period. Patients and Methods 73 patients with cutaneous NTM infections diagnosed at 17 different German University Hospitals from 2000 ...
Luisa Bopp, Nicolai Deresz, Henning Klapproth, Isabelle Suárez, Jonathan Jantsch, Mario Fabri, Esther von Stebut   +6 more
wiley   +1 more source

Development and validation of a risk prediction model for multidrug-resistant organisms infection in diabetic foot ulcer patients. [PDF]

Front Endocrinol (Lausanne)
Zhang J, Li X, Chang B, Li Y, Chang B.
europepmc   +1 more source

Constitutional symptoms and response to Penicillin G in erysipelas and cellulitis – a monocentric, retrospective, explorative study

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background: Erysipelas, caused by streptococci, should be treated with penicillin, while uncomplicated cellulitis (phlegmon), often caused by Staphylococcus aureus, requires penicillinase‐resistant beta‐lactam antibiotics, which have a higher risk of adverse effects. Distinguishing between these infections is important.
Helena Schieffers, Cord Sunderkötter
wiley   +1 more source

Maturity-Onset Diabetes of the Young (MODY) Presenting With a Diabetic Foot Ulcer: A Case Report. [PDF]

Cureus
Saleem A, Saleem F, Shaikh T, Fatima S, Setu HJ.   +4 more
europepmc   +1 more source

Healing through empowerment and active listening (HEALing): A mixed‐methods evaluation of the feasibility and acceptability of a nurse‐led self‐care support intervention for people with diabetic foot ulcers

Diabetic Medicine, EarlyView.
Abstract Aims To evaluate the feasibility, acceptability, and implementation of HEALing (Healing through Empowerment and Active Listening)—a clinic‐integrated self‐care intervention delivered by trained wound care nurses in three 30‐min face‐to‐face sessions over 6 weeks to support diabetic foot ulcer healing. Methods A mixed‐methods, single‐arm hybrid
Xiaoli Zhu, Eng Sing Lee, Frederick H. F. Chan, Ruoyu Yin, Phoebe X. H. Lim, Rachel W. S. Koh, Carpenter Judith, Voon Hooi Lim, Richard S. Y. Low, Jie Su, Faridah Binte Mohamad Yusoff, Yee Chui Chen, Konstadina Griva   +12 more
wiley   +1 more source

Combining thermography and artificial intelligence in comparison with a diabetic foot nurse for diabetic foot ulcer detection: A diagnostic accuracy study. [PDF]

Digit Health
Shara K, Alghali M, Abu-Ashour W, Almnaizel AT, Sunbul T, Baatiah N, Attal K, Al Attallah I, Sawad B, Alwashmi M.   +9 more
europepmc   +1 more source

Digital technologies and clinical decision support tools available for diabetes triage in the inpatient setting: A systematic literature review

Diabetic Medicine, EarlyView.
Abstract Aims People with diabetes who are admitted to hospital are at risk of adverse in‐hospital outcomes due to glycaemic dysregulation. Both the prevalence of diabetes and adverse outcomes are higher in rural and regional hospitals where infrastructure is more limited.
Giuliana Murfet, Nicola Carey, Ashley H. Ng, Ronie Walters, Karen Pearce, Rahul D. Barmanray, Natalie Wischer, Mette Juel Rothmann   +7 more
wiley   +1 more source

Banting memorial lecture 2025: Aligning clinical practice, policy and research

Diabetic Medicine, EarlyView.
Abstract National clinical leadership, on a background of clinical practice and clinical research, provides unique perspectives. I have focused the Banting Memorial Lecture 2025 on the implementation of national programmes across England since 2013, for which, along with colleagues at NHS England, I successfully made the case for investment, led the ...
Jonathan Valabhji
wiley   +1 more source

Development and external validation of machine-learning based models to predict diabetic foot ulcer in diabetes population. [PDF]

Front Endocrinol (Lausanne)
Zhang Y, Tian Y, Jian Y, Wei Z, Cai S, Zhang G, Deng C.   +6 more
europepmc   +1 more source