Algorithm to Improve Patient Comfort and Treat Diabetes Mellitus-Related Xerosis.


Journal

Journal of drugs in dermatology : JDD
ISSN: 1545-9616
Titre abrégé: J Drugs Dermatol
Pays: United States
ID NLM: 101160020

Informations de publication

Date de publication:
01 Apr 2023
Historique:
medline: 11 4 2023
entrez: 7 4 2023
pubmed: 8 4 2023
Statut: ppublish

Résumé

Diabetes mellitus (DM)-related cutaneous disorders such as xerosis frequently occur in patients with type 1 and type 2 diabetes. Gentle cleansers and moisturizers are underused to prevent xerosis or provide effective early treatment and maintenance. The project used a modified Delphi hybrid process comprising face-to-face discussions followed by an online review process. A panel of physicians who treat patients with diabetes with DM used information from literature searches coupled with expert opinions and their experience to develop a practical algorithm to improve outcomes for patients with DM-related xerosis. The algorithm for DM-related xerosis aims to inform dermatologists and other health care professionals caring for patients with DM. The first section of the algorithm addresses education and behavioral measures. Treatment adherence is a considerable challenge in people with DM, making education essential. The second section discusses the assessment of the skin condition. The third section reports on an interdisciplinary team-based approach to patients with DM-related xerosis. The algorithm describes treatment and maintenance approaches using cleansers and moisturizers for mild, moderate, and severe xerosis, distinguishing between the body, face, hands, and feet. The algorithm supports educating health care professionals and patients on xerosis prevention and treatment using ceramides-containing gentle cleansers and moisturizers to improve patient comfort and prevent complications. J Drugs Dermatol. 2023;22(4): doi:10.36849/JDD.7177 Citation: Kirsner RS, Andriessen A, Hanft JR, et al. Algorithm to improve patient comfort and treat diabetes mellitus-related xerosis. J Drugs Dermatol. 2023;22(4):356-363. doi:10.36849/JDD.7177.

Sections du résumé

BACKGROUND BACKGROUND
Diabetes mellitus (DM)-related cutaneous disorders such as xerosis frequently occur in patients with type 1 and type 2 diabetes. Gentle cleansers and moisturizers are underused to prevent xerosis or provide effective early treatment and maintenance.
METHODS METHODS
The project used a modified Delphi hybrid process comprising face-to-face discussions followed by an online review process. A panel of physicians who treat patients with diabetes with DM used information from literature searches coupled with expert opinions and their experience to develop a practical algorithm to improve outcomes for patients with DM-related xerosis.
RESULTS RESULTS
The algorithm for DM-related xerosis aims to inform dermatologists and other health care professionals caring for patients with DM. The first section of the algorithm addresses education and behavioral measures. Treatment adherence is a considerable challenge in people with DM, making education essential. The second section discusses the assessment of the skin condition. The third section reports on an interdisciplinary team-based approach to patients with DM-related xerosis. The algorithm describes treatment and maintenance approaches using cleansers and moisturizers for mild, moderate, and severe xerosis, distinguishing between the body, face, hands, and feet.
CONCLUSION CONCLUSIONS
The algorithm supports educating health care professionals and patients on xerosis prevention and treatment using ceramides-containing gentle cleansers and moisturizers to improve patient comfort and prevent complications. J Drugs Dermatol. 2023;22(4): doi:10.36849/JDD.7177 Citation: Kirsner RS, Andriessen A, Hanft JR, et al. Algorithm to improve patient comfort and treat diabetes mellitus-related xerosis. J Drugs Dermatol. 2023;22(4):356-363. doi:10.36849/JDD.7177.

Identifiants

pubmed: 37026891
pii: S1545961623P0356X
doi: 10.36849/JDD.7177
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

356-363

Auteurs

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Classifications MeSH